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Shuai LY, Meng D, Ma WL, Bai JW, Luo Y, Luo YX, Gao ZC, Zhu H, Long ZQ. Ecological Correlates of Ecological Specialization of Avian Communities in University Campuses of China. BIOLOGY 2025; 14:570. [PMID: 40427759 PMCID: PMC12109526 DOI: 10.3390/biology14050570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2025] [Revised: 05/12/2025] [Accepted: 05/16/2025] [Indexed: 05/29/2025]
Abstract
With the rapid process of urbanization at a global scale, university campuses have been viewed as important urban green spaces for biodiversity conservation. However, little is known about the role of university campuses in protecting ecological specialists, the species usually vulnerable to anthropogenic disturbance. We assessed the associations between several ecological variates and ecological specialization of bird communities across 198 Chinese university campuses. A total of 398 bird species were recorded, including 109 diet specialist species and 104 foraging stratum specialist species. We found that the elevation of campuses was positively related to diet specialist species richness, and the campus area was positively related to foraging stratum specialist species richness. NDVI was positively associated with the community-wide foraging stratum specialization index, but negatively associated with the community-wide diet specialization index. Our results suggest that campuses with larger areas or located at high elevations play an important role in maintaining ecological specialization of bird communities.
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Affiliation(s)
- Ling-Ying Shuai
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Di Meng
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Wan-Lan Ma
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Jing-Wen Bai
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Yue Luo
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Yu-Xin Luo
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Zhu-Cheng Gao
- College of Life Science and Technology, Harbin Normal University, Harbin 150025, China;
| | - Hao Zhu
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
| | - Zhu-Qin Long
- College of Life Sciences, Huaibei Normal University, Huaibei 235000, China; (D.M.); (W.-L.M.); (J.-W.B.); (Y.L.); (Y.-X.L.); (H.Z.); (Z.-Q.L.)
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Liao D, Zhou B, Xiao H, Zhang Y, Zhang S, Su Q, Yan X. MaxEnt Modeling of the Impacts of Human Activities and Climate Change on the Potential Distribution of Plantago in China. BIOLOGY 2025; 14:564. [PMID: 40427753 PMCID: PMC12109213 DOI: 10.3390/biology14050564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2025] [Revised: 05/13/2025] [Accepted: 05/16/2025] [Indexed: 05/29/2025]
Abstract
Human activities exert both beneficial and detrimental impacts on the ecosystem. In recent years, greenhouse gas emissions have significantly increased due to global climate change, causing profound alterations in ecosystem distribution and productivity. The synergistic interplay between climatic shifts and anthropogenic activities is intensifying ecological transformations and disturbances, and accelerating biodiversity depletion. The Plantago genus (Plantaginaceae family) includes 14 herbaceous species among China's flora. This study was conducted to elucidate the spatial distribution of Plantago species patterns across China and evaluate their differential responses to impending climate change and human interventions. In this study, we projected the potential distributions of Plantago species under three climate scenarios (SSP126, SSP245, and SSP585) across current and future temporal intervals (2021-2040, 2041-2060, 2061-2080, and 2081-2100) using the MaxEnt model integrated with ArcGIS V10.8 spatial analysis. A spatial trend analyses was also conducted to assess habitat suitability dynamics by incorporating anthropogenic influence parameters. The model validation yielded AUC values exceeding 0.9, demonstrating excellent model performance and predictive reliability. Precipitation variability and anthropogenic pressure emerged as the most predominant determinants shaping Plantago distributions. Centroid migration analyses further indicated the progressive northward displacement of optimal habitats under the projected climate scenarios. These findings significantly advance our understanding of Plantago species' adaptive responses to environmental changes. This study also offers an invaluable scientific foundation for sustainable resource management and ecological conservation strategies.
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Affiliation(s)
| | | | | | | | | | - Qitao Su
- Key Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji’an 343009, China; (D.L.); (B.Z.); (H.X.); (Y.Z.); (S.Z.)
| | - Xiaohong Yan
- Key Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji’an 343009, China; (D.L.); (B.Z.); (H.X.); (Y.Z.); (S.Z.)
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3
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Zhang J, Li L, Li Q, Chen W, Huang J, Guo Y, Ji G. Multiscenario Land Use Change Simulation and Its Impact on Ecosystem Service Function in Henan Province Based on FLUS-InVEST Model. Ecol Evol 2025; 15:e71111. [PMID: 40092901 PMCID: PMC11906368 DOI: 10.1002/ece3.71111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 02/17/2025] [Accepted: 02/26/2025] [Indexed: 03/19/2025] Open
Abstract
Studying the impact of future land use changes on regional ecosystem services (ES) is crucial for sustainable development planning in the region. However, there is a lack of research specifically targeting Henan Province under different future scenarios. Therefore, this study simulates four ES functions-water yield (WY), carbon storage (CS), habitat quality (HQ), and nutrient delivery ratio (NDR)-for the historical period in Henan Province. It also constructs a Comprehensive Ecosystem Service (CES) Index. Additionally, the study predicts the spatial and temporal distribution characteristics of various ES and CES under two different Shared Socioeconomic Pathways (SSP) scenarios for the future. The results of the study showed that: (1) The high simulation accuracy of the FLUS model indicates that the FLUS model is suitable for land use simulation in the study area. (2) Under the SSP2-4.5 scenario, the area of construction land expansion is the largest, and the HQ, CS, water production capacity, and water purification capacity of Henan Province all decrease. Under the SSP5-8.5 scenario, the area of cultivated land increased the most, and all three decreased except for the water production capacity, which increased. (3) Under the SSP2-4.5 scenario, the area of CES decline is the largest, and the severe decline in CES mainly occurs in areas where forest land is encroached upon by urban land, followed by areas encroached upon by rural settlements, and the encroachment of arable land by construction land leads to a mild decline in CES, which accounts for the largest proportion of the area. Under the SSP5-8.5 scenario, Henan Province has the largest area of CES rise, and most of it is dominated by mild rise, but the mean CES in 2050 is still lower compared to 2020. The results of the study can provide a reference basis for the formulation of sustainable development policies in Henan Province and provide new ideas for the study of the impacts of land use change on ES under different scenarios in the future.
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Affiliation(s)
- Jincai Zhang
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Ling Li
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Qingsong Li
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Weiqiang Chen
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Junchang Huang
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Yulong Guo
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
| | - Guangxing Ji
- College of Resources and Environmental SciencesHenan Agricultural UniversityZhengzhouHenanChina
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Yu S, Li H, Wang S. A New Genus, Luciargentis gen. nov. Revealed by Morphological and Phylogenetic Evidence in the Family Lecithoceridae from Tibet, China. INSECTS 2025; 16:242. [PMID: 40266758 PMCID: PMC11943308 DOI: 10.3390/insects16030242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Revised: 02/21/2025] [Accepted: 02/21/2025] [Indexed: 04/25/2025]
Abstract
In this study, we describe a new genus, Luciargentis Yu and Wang, gen. nov. based on the new species, Luciargentis obesa Yu and Wang, sp. nov. Additionally, the genus is placed within the subfamily Crocanthinae, satisfying the criteria of Crocanthinae. We conducted a phylogenetic analysis of the family Lecithoceridae using a concatenated dataset that includes one mitochondrial marker (COI) and six nuclear markers (EF-1α, GAPDH, RpS5, CAD, wingless, and MDH), incorporating 17 exemplars from NCBI and 7 newly sequenced exemplars from this study. The yield tree topologies showed that Luciargentis obesa forms a strongly supported monophyletic group with Crocanthes prasinopis, a species of Crocanthinae. Moreover, Luciargentis + Crocanthes were found to be sister groups to Torodorinae. Images of the adults, wing venation, and genitalia of the new species are provided.
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Affiliation(s)
- Shuai Yu
- College of Agriculture and Biology, Liaocheng University, Liaocheng 252000, China; (S.Y.); (H.L.)
- College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Haotian Li
- College of Agriculture and Biology, Liaocheng University, Liaocheng 252000, China; (S.Y.); (H.L.)
| | - Shuxia Wang
- College of Life Sciences, Nankai University, Tianjin 300071, China
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Li Z, Wei J, Du W, Huang R, Song L, Tian Q, Zhou X. Environmental response strategies for the spatial distribution of seed plants in Gansu. FRONTIERS IN PLANT SCIENCE 2025; 16:1526269. [PMID: 40034156 PMCID: PMC11872896 DOI: 10.3389/fpls.2025.1526269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Accepted: 01/28/2025] [Indexed: 03/05/2025]
Abstract
The interplay between plant diversity and environmental response strategies is crucial for ecosystem adaptability and stability. A central focus in modern ecology is elucidating how environmental factors shape plant diversity patterns and regulate species distributions across heterogeneous landscapes. This study employed Joint Species Distribution Model (JSDM) to quantitatively analyze the influence of environmental variables on plant spatial distributions in Gansu Province, China, while examining interspecies interactions under varying conditions. Results demonstrated that environmental factors explained 95.4% of the variance, highlighting their predominant role in determining plant distributions. Habitat type accounted for the largest share of variance (33.5%), followed by elevation (22.1%), mean annual temperature (20.3%), mean annual precipitation (15.1%), and solar radiation (4.4%). Species' responses to environmental covariates were predominantly independent, with weak phylogenetic correlation (posterior mean: 0.17), reflecting limited ecological niche conservatism at the family level. Geographically, regions such as the northern Qilian foothills, Lanzhou-Baiyin wilderness, Loess Plateau, and Gannan Plateau exhibited negative correlations with most plant families, functioning as critical limiting or driving factors in spatial variability. Additionally, 33.7% of seed plant families showed negative correlations with light intensity, underscoring its role as a major limiting factor. Provincially, competition does not primarily constrain seed plant coexistence in Gansu. Regionally, however, pronounced differences in environmental responses were observed. In the northwest, solar radiation (37%) and precipitation (25%) were dominant drivers of plant distribution, while in the southeast, solar radiation (36.3%) and elevation (34.7%) were predominant. These findings underscore that species co-occurrence patterns are scale-dependent and influenced by regional resource availability. In resource-abundant southeastern areas, plant families displayed positive co-occurrence patterns indicative of mutualistic or symbiotic interactions, whereas resource-scarce northwestern areas experienced intensified negative co-occurrences due to heightened interspecific competition. This study highlights the critical role of environmental gradients in structuring seed plant distributions in Gansu, providing insights into the interaction of ecological adaptation and evolutionary history in shaping plant diversity. By identifying the drivers of plant distribution across heterogeneous environments, this research offers significant implications for biodiversity conservation and plant resource management strategies in Gansu Province, while contributing to a broader understanding of plant-environment dynamics in complex ecosystems.
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Affiliation(s)
- Zizhen Li
- Forestry College, Gansu Agricultural University, Lanzhou, China
| | - Jia Wei
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Weibo Du
- Forestry College, Gansu Agricultural University, Lanzhou, China
| | - Rong Huang
- Institute of Fruit and Floriculture Research, Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Lingling Song
- Forestry College, Gansu Agricultural University, Lanzhou, China
| | - Qing Tian
- Forestry College, Gansu Agricultural University, Lanzhou, China
- Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Xiaolei Zhou
- Forestry College, Gansu Agricultural University, Lanzhou, China
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Bian Y, Wu Q, Zheng R, Fu J, Chen J, Mi X, Yu M, Wang Y. Temporal and habitat-specific variations in drivers of aboveground biomass dynamics in a Chinese subtropical forest. FRONTIERS IN PLANT SCIENCE 2025; 15:1531654. [PMID: 39906230 PMCID: PMC11790668 DOI: 10.3389/fpls.2024.1531654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Accepted: 12/30/2024] [Indexed: 02/06/2025]
Abstract
Understanding the mechanisms governing biodiversity-biomass relationships across temporal and spatial scales is essential for elucidating how abiotic and biotic factors influence ecosystem function in natural forests. However, the simultaneous contributions of multiple abiotic (e.g., topography) and biotic factors (e.g., structural diversity) to aboveground biomass dynamics (ΔAGB) over time and across habitat types remain inadequately understood. To address this gap, we evaluated changes in aboveground biomass across a decade and various habitats, disentangling the relative influences of topography and multidimensional diversity on ΔAGB through datasets from forest inventories conducted between 2007 and 2017, along with phylogenetic relatedness, functional traits, and environmental variables from a subtropical forest in China. Our findings indicate that aboveground biomass at community level experienced a significant decline followed by an increase over the decade, predominantly driven by changes in the low-valley habitat. In contrast, no statistically significant alterations were detected in the aboveground biomass of mid-hillside and high-ridge habitats. Furthermore, the determinants of ΔAGB exhibited temporal variation. During the 2007-2012 period, ΔAGB was primarily influenced by functional and structural diversity, accounting for 66.11% and 21.35% of relative importance, respectively. In the subsequent 2012-2017 period, phylogenetic and structural diversity emerged as key factors, explaining 48.46% and 36.43% of relative importance, respectively. Additionally, we observed that the drivers and effects impacting ΔAGB exhibited significant variability across different habitat types. In summary, our study underscores the significant spatiotemporal dependence of abiotic and biotic drivers on biomass dynamics within forest ecosystems, thereby enhancing our understanding of the complex biodiversity-ecosystem functioning relationships.
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Affiliation(s)
- Yuxuan Bian
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Qi Wu
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Rong Zheng
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Jiaqin Fu
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Jianhua Chen
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Xiangcheng Mi
- Zhejiang Qianjiangyuan Forest Biodiversity National Observation and Research Station, State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China
| | - Mingjian Yu
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Yunquan Wang
- College of Life Sciences, Zhejiang Normal University, Jinhua, China
- College of Life Sciences, Zhejiang University, Hangzhou, China
- The Administration Center of Zhejiang Jiulongshan National Nature Reserve, Lishui, China
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7
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Wu XX, Wang Y, Chen YY, Wang Q. Microtoenawawushanensis (Lamiaceae, Lamioideae): A new species from Sichuan, China. PHYTOKEYS 2024; 250:223-236. [PMID: 39777402 PMCID: PMC11704741 DOI: 10.3897/phytokeys.250.139362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 11/29/2024] [Indexed: 01/11/2025]
Abstract
Microtoenawawushanensis, a new species from Sichuan, China, is described and illustrated here. The new species is closely related to M.moupinensis and M.prainiana, but differs distinctly from both in leaf, calyx and bract morphology. It is further distinguished by its highly variable and unstable calyx tooth ratio (1.36-2.13), red-marked lateral lobes on the lower corolla and filaments that are barbate at both the upper and basal parts, with nearly imperceptible hairs in the middle section. Phylogenetic analyses, based on 81 coding regions of the chloroplast genome, suggest that M.wawushanensis belongs to sect. Delavayana and is sister to a clade formed by M.urticifolia, M.prainiana and M.megacalyx.
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Affiliation(s)
- Xue-Xue Wu
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- National Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Yan Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- National Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Yan-Yi Chen
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- National Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Qiang Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- National Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
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Liu Y, Tan YL, Li YM, Ping YM, He DM, Zhang GL, Sun WB, Cai L. Conservation and threatened status of plant species with extremely small populations in the karst region of southeastern Yunnan, China. FRONTIERS IN PLANT SCIENCE 2024; 15:1520363. [PMID: 39777088 PMCID: PMC11703871 DOI: 10.3389/fpls.2024.1520363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 12/04/2024] [Indexed: 01/11/2025]
Abstract
The southeastern Yunnan is one of the most typical areas in China with karst landforms. The rich variety of vegetation types and plant diversity means that threatened status are also synchronized. Over the past 20 years, the comprehensive conservation team for plant species with extremely small populations (PSESP) has conducted in-depth field surveys in the region, combining relevant literature and conservation projects to compile a list of PSESP which including conservation and endangered status, conservation actions, and scientific research. Among all 116 PSESP, relatively abundant families include Cycadaceae (12 species), Magnoliaceae (17species) and Orchidaceae (18 species). Hekou and Malipo are the counties with the highest number, with 44 and 43 species respectively. A total of 81 species are included in the List of National Key Protected Wild Plants in China. For threatened status, 24 critically endangered (CR) species and 41 endangered (EN) species represent levels of severe threat. Up to now, 96 species have taken at least one protective measure from in situ conservation, ex situ conservation, breeding or reintroduction/reinforcement. But there are still 20 species that have not taken any protective measures. Additionally, scientific research has been conducted on 86 species, but 30 species have not had any research initiated. The threat of human interference mainly including overcollection and habitat destruction, and the threats of limitations imposed on PSESP itself and natural disasters cannot be ignored. Our findings underscore the importance of integrated conservation strategies, in addition to the in situ conservation, ex situ conservation, breeding or reintroduction/reinforcement, we should also pay attention to the scientific research, germplasm conservation, environmental education and ethnic culture. We also propose to consider establishing a professional karst botanical garden in southeastern Yunnan, and hope this study can offer valuable insights for the conservation of PSESP and biodiversity in southeastern Yunnan.
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Affiliation(s)
- Yang Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yu-Lin Tan
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yun-Meng Li
- Kunming Botanical Garden, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yan-Mei Ping
- Forestry and Grassland Bureau of Hekou Yao Autonomous County, Hekou, Yunnan, China
| | - De-Ming He
- Wenshan National Nature Reserve Administration, Wenshan, Yunnan, China
| | - Gui-Liang Zhang
- Hekou Branch Administration of Daweishan National Nature Reserve, Hekou, Yunnan, China
| | - Wei-Bang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lei Cai
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
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Liu Z, Li Z. Family-level diversity of Coleoptera (Insecta) from the Nanling Mountains and the Greater Bay Area, China. Zootaxa 2024; 5528:17-37. [PMID: 39646903 DOI: 10.11646/zootaxa.5528.1.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Indexed: 12/10/2024]
Abstract
Coleoptera comprise 198 families and over 440,000 species to date, of which 143 families and over 35,000 species are known in China. Of these, only 64 families have been recorded in Guangdong Province, fewer than in Hong Kong. To investigate the insect diversity of Guangdong, numerous specimens were collected from the Nanling Mountains and the Greater Bay Area using various methods, and over 200,000 specimens of Coleoptera were assigned to families. Thus, a preliminary study of beetles at the family-level in Guangdong is carried out based on the examined specimens and historical records. An updated checklist of beetle families in Guangdong increases the number of families from 64 to 111, in which Eupsilobiidae is recorded for the first time in China and a new species, Eidoreus haizhuensis sp. nov. is described here, demonstrating the importance of persistent collecting with different methods for the study of insect diversity. Habitus images of most of the beetle families occurring in Guangdong are provided. And the updated records are compared in detail with the published records, showing that more families may potentially be found in Guangdong, requiring further field work and taxonomists working on niche groups.
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Affiliation(s)
- Zhenhua Liu
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization; Guangdong Public Laboratory of Wild Animal Conservation and Utilization; Institute of Zoology; Guangdong Academy of Sciences; Guangzhou 510260; China.
| | - Zhiqiang Li
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization; Guangdong Public Laboratory of Wild Animal Conservation and Utilization; Institute of Zoology; Guangdong Academy of Sciences; Guangzhou 510260; China.
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10
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Ge SQ, Huang ZZ, Liang HB, Pan Z, Ren D, Yin ZW. Introduction: Beetle diversity of Nanling Priority Area for Biodiversity Conservation: papers celebrating the 10th anniversary of the Coleopterology Committee, Entomological Society of China. Zootaxa 2024; 5528:9-16. [PMID: 39646904 DOI: 10.11646/zootaxa.5528.1.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Indexed: 12/10/2024]
Affiliation(s)
- Si-Qin Ge
- Key Laboratory of Zoological Systematics and Evolution; Institute of Zoology; Chinese Academy of Sciences; Chaoyang District; Beijing 100101; China.
| | - Zheng-Zhong Huang
- Key Laboratory of Zoological Systematics and Evolution; Institute of Zoology; Chinese Academy of Sciences; Chaoyang District; Beijing 100101; China.
| | - Hong-Bin Liang
- Key Laboratory of Zoological Systematics and Evolution; Institute of Zoology; Chinese Academy of Sciences; Chaoyang District; Beijing 100101; China.
| | - Zhao Pan
- Key Laboratory of Zoological Systematics and Application of Hebei Province; School of Life Sciences; Institute of Life Science and Green Development; Hebei University; Baoding 071002; Hebei; China.
| | - Dong Ren
- Key Lab of Insect Evolution and Environmental Change; College of Life Sciences; Capital Normal University; Haidian District; Beijing 100048; China.
| | - Zi-Wei Yin
- Laboratory of Systematic Entomology; College of Life Sciences; Shanghai Normal University; Xuhui District; Shanghai 200234; China.
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Zheng H, Dai X, Li H, Yu Z. Two new species of Nectriaceae (Hypocreales, Sordariomycetes) from Yunnan, China. MycoKeys 2024; 108:269-285. [PMID: 39296988 PMCID: PMC11408876 DOI: 10.3897/mycokeys.108.130098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 08/14/2024] [Indexed: 09/21/2024] Open
Abstract
Nectriaceae is a highly diverse family, and members have a worldwide distribution, particularly in warm temperate to tropical regions. During the survey of fungal diversity in different habitats in Yunnan province, China, two new species isolated from soil and air respectively, namely Atractiumyunnanense sp. nov. and Nalanthamalaxishuangbannaensis sp. nov., were proposed based on morphological comparisons and the multi-gene phylogenetic analyses of combined ITS, LSU, rpb2, and tub2 sequence data. Phylogenetically, both species clustered in a monophyletic clade within Nectriaceae with strong support. A.yunnanense is characterized by synnematous conidiophores, pale olivaceous-green, clavate to oblong-ellipsoidal, multi-septate conidia, and pale olivaceous-green chlamydospores. N.xishuangbannaensis has acremonium-like or penicillium-like conidiophores and either obovate or ellipsoidal, cylindrical or fusiform conidia. Full descriptions, illustrations, and a phylogenetic tree showing the phylogenetic position of the two new species were provided.
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Affiliation(s)
- Hua Zheng
- Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China Kunming University of Science and Technology Kunming China
- Laboratory for Conservation and Utilization of Bio-resources, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, 650032, China Yunnan University Kunming China
| | - Xinwen Dai
- Laboratory for Conservation and Utilization of Bio-resources, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, 650032, China Yunnan University Kunming China
| | - Haiyan Li
- Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China Kunming University of Science and Technology Kunming China
| | - Zefen Yu
- Laboratory for Conservation and Utilization of Bio-resources, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, 650032, China Yunnan University Kunming China
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12
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Wang Q, Han X, Wang Z, Zheng K, Dong Z, Zhang P, Fan P, Zhang L. Eurasian otters prefer to prey on religious released non-native fish on the Qinghai-Tibetan Plateau. Curr Zool 2024; 70:472-479. [PMID: 39176056 PMCID: PMC11336668 DOI: 10.1093/cz/zoad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/15/2023] [Indexed: 08/24/2024] Open
Abstract
Religious wildlife release is prevalent worldwide, especially in Asia countries. It is one of the anthropogenic pathways to cause biological invasions. Religious fish release is common on the Qinghai-Tibetan Plateau, yet few studies have assessed the influences of religious fish release on local species. In Yushu, a city on the Qinghai-Tibetan Plateau, we interviewed local people, conducted fish trap surveys in local rivers, and examined the diet of Eurasian otters Lutra lutra using a fecal DNA metabarcoding approach. We found that fish release started at least in 1980-1990s in Yushu. Tibetan residents released fish in large amounts and released fish were usually exotic commercial fish purchased from market. Despite such long-term and intensive fish release activities, released fish were few in local rivers. On the other hand, Eurasian otters mainly prey on fish and released fish accounted for ~20% of relative read abundance of prey DNA in otters' diet, indicating their high preference on released fish. Our study suggested that religious fish release may provide additional food resources for otters, whereas otters, as a top predator in local rivers, may deplete non-native fish once they were released and, therefore, reduce the probability of colonization of released fish, although further studies are required to assess otters' impact. Our study revealed otters' diet in Yushu, providing basic information for local otter management and conservation. Furthermore, it represents a case showing that native predators prey on religious released animals, implying a probable direction for controlling invasive species through native predator conservation.
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Affiliation(s)
- Qiaoyun Wang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Xuesong Han
- School of Life Sciences, Peking University, Beijing 100871, China
- Shan Shui Conservation Center, Beijing 100871, China
| | - Zichen Wang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Kaidan Zheng
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhengyi Dong
- Shan Shui Conservation Center, Beijing 100871, China
| | - Peng Zhang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Pengfei Fan
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Lu Zhang
- School of Ecology, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
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13
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Zhao L, Li J, Barrett RL, Liu B, Hu H, Lu L, Chen Z. Spatial heterogeneity of extinction risk for flowering plants in China. Nat Commun 2024; 15:6352. [PMID: 39069525 PMCID: PMC11284212 DOI: 10.1038/s41467-024-50704-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 07/18/2024] [Indexed: 07/30/2024] Open
Abstract
Understanding the variability of extinction risk and its potential drivers across different spatial extents is crucial to revealing the underlying processes of biodiversity loss and sustainability. However, in countries with high climatic and topographic heterogeneity, studies on extinction risk are often challenged by complexities associated with extent effects. Here, using 2.02 million fine-grained distribution records and a phylogeny including 27,185 species, we find that the extinction risk of flowering plants in China is spatially concentrated in southwestern China. Our analyses suggest that spatial extinction risks of flowering plants in China may be caused by multiple drivers and are extent dependent. Vegetation structure based on proportion of growth forms is likely the dominant extinction driver at the national extent, followed by climatic and evolutionary drivers. Finer extent analyses indicate that the potential dominant extinction drivers vary across zones and vegetation regions. Despite regional heterogeneity, we detect a geographical continuity potential in extinction drivers, with variation in West China dominated by vegetation structure, South China by climate, and North China by evolution. Our findings highlight that identification of potential extent-dependent drivers of extinction risk is crucial for targeted conservation practice in countries like China.
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Affiliation(s)
- Lina Zhao
- State Key Laboratory of Plant Diversity and Specialty Crops & Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China
- China National Botanical Garden, 100093, Beijing, China
| | - Jinya Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China
| | - Russell L Barrett
- National Herbarium of New South Wales, Australian Botanic Garden, Locked Bag 6002, Mount Annan, 2567, NSW, Australia
- Evolution and Ecology Research Centre, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Kensington, 2052, NSW, Australia
| | - Bing Liu
- State Key Laboratory of Plant Diversity and Specialty Crops & Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China
- China National Botanical Garden, 100093, Beijing, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Haihua Hu
- State Key Laboratory of Plant Diversity and Specialty Crops & Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China
- China National Botanical Garden, 100093, Beijing, China
| | - Limin Lu
- State Key Laboratory of Plant Diversity and Specialty Crops & Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China.
- China National Botanical Garden, 100093, Beijing, China.
| | - Zhiduan Chen
- State Key Laboratory of Plant Diversity and Specialty Crops & Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 100093, Beijing, China.
- China National Botanical Garden, 100093, Beijing, China.
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China.
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14
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Liang Z, Hu S, Zhong J, Wei Q, Ruan X, Zhang L, Lee TM, Liu Y. Nationwide law enforcement impact on the pet bird trade in China. Proc Natl Acad Sci U S A 2024; 121:e2321479121. [PMID: 38857393 PMCID: PMC11194575 DOI: 10.1073/pnas.2321479121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/03/2024] [Indexed: 06/12/2024] Open
Abstract
Conservation enforcement is a direct strategy to combat illegal wildlife trade in open markets. Yet, its large-scale effectiveness has not been widely assessed due to the lack of extensive market data. Between August 2016 and June 2017, a national coordinated enforcement campaign led by the leading Chinese authority to combat illegal migratory bird trade coincided with the largest-ever pet bird market survey across China by voluntary birdwatchers before and after the enforcement, which served as a unique natural experiment. Across 73 markets from 22 Chinese provinces, the dataset contains 140,723 birds of 346 species from 48 families and recorded a drastic decline in bird abundance traded after enforcement. Notably, species protected under China's Wildlife Protection Law declined significantly, while commercially bred species increased, although responses to enforcement were spatially heterogeneous. Our model showed that the national protection level was the best predictor for the trend of traded species, even after accounting for confounding factors such as regional baseline enforcement pressure and wild native bird populations. However, the widely traded native songbirds were not offered adequate national protection. Future policies should consider the pet bird trade patterns, target key areas of trade, and develop a more systematic market survey design to monitor trade.
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Affiliation(s)
- Zhijian Liang
- School of Ecology and State Key Laboratory of Biological Control, Sun Yat-sen University, Shenzhen, Guangdong518107, People’s Republic of China
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong510275, People’s Republic of China
| | - Sifan Hu
- School of Ecology and State Key Laboratory of Biological Control, Sun Yat-sen University, Shenzhen, Guangdong518107, People’s Republic of China
| | - Jia Zhong
- China Birdwatching Association, Kunming, Yunnan650225, People’s Republic of China
| | - Qian Wei
- China Birdwatching Association, Kunming, Yunnan650225, People’s Republic of China
| | - Xiangdong Ruan
- Academy of Inventory and Planning, National Forestry and Grassland Administration, Beijing100714, People’s Republic of China
| | - Li Zhang
- Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing100875, People’s Republic of China
| | - Tien Ming Lee
- School of Ecology and State Key Laboratory of Biological Control, Sun Yat-sen University, Shenzhen, Guangdong518107, People’s Republic of China
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong510275, People’s Republic of China
| | - Yang Liu
- School of Ecology and State Key Laboratory of Biological Control, Sun Yat-sen University, Shenzhen, Guangdong518107, People’s Republic of China
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong510275, People’s Republic of China
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15
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Chen W, Wang X, Cai Y, Huang X, Li P, Liu W, Chang Q, Hu C. Potential distribution patterns and species richness of avifauna in rapidly urbanizing East China. Ecol Evol 2024; 14:e11515. [PMID: 38895583 PMCID: PMC11183928 DOI: 10.1002/ece3.11515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/09/2024] [Accepted: 05/15/2024] [Indexed: 06/21/2024] Open
Abstract
In recent years, increased species extinction and habitat loss have significantly reduced biodiversity, posing a serious threat to both nature and human survival. Environmental factors strongly influence bird distribution and diversity. The potential distribution patterns and species richness offer a conservation modeling framework for policymakers to assess the effectiveness of natural protected areas (PAs) and optimize their existing ones. Very few such studies have been published that cover a large and complete taxonomic group with fine resolution at regional scale. Here, using birds as a study group, the maximum entropy model (MaxEnt) was used to analyze the pattern of bird species richness in Jiangsu Province. Using an unparalleled amount of occurrence data, we created species distribution models (SDMs) for 312 bird species to explore emerging diversity patterns at a resolution of 1 km2. The gradient of species richness is steep, decreasing sharply away from water bodies, particularly in the northern part of Jiangsu Province. The migratory status and feeding habits of birds also significantly influence the spatial distribution of avian species richness. This study reveals that the regions with high potential bird species richness are primarily distributed in three areas: the eastern coastal region, the surrounding area of the lower reaches of the Yangtze River, and the surrounding area of Taihu Lake. Compared with species richness hotspots and existing PAs, we found that the majority of hotspots are well-protected. However, only a small portion of the regions, such as coastal areas of Sheyang County in Yancheng City, as well as some regions along the Yangtze River in Nanjing and Zhenjiang, currently have relatively weak protection. Using stacked SDMs, our study reveals effective insights into diversity patterns, directly informing conservation policies and contributing to macroecological research advancements.
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Affiliation(s)
- Wan Chen
- College of Environment and EcologyJiangsu Open University (The City Vocational College of Jiangsu)NanjingJiangsuChina
| | - Xuan Wang
- Jiangsu Academy of ForestryNanjingJiangsuChina
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
- Yangzhou Urban Forest Ecosystem National Research StationYangzhouJiangsuChina
| | - Yuanyuan Cai
- Shanghai International Airport Co., Ltd. Pudong International AirportShanghaiChina
| | - Xinglong Huang
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Peng Li
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Wei Liu
- Nanjing Institute of Environmental Sciences, Ministry of Environmental ProtectionNanjingJiangsuChina
| | - Qing Chang
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Chaochao Hu
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
- Analytical and Testing CenterNanjing Normal UniversityNanjingJiangsuChina
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16
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Xu W, Wu YH, Zhou WW, Chen HM, Zhang BL, Chen JM, Xu W, Rao DQ, Zhao H, Yan F, Yuan Z, Jiang K, Jin JQ, Hou M, Zou D, Wang LJ, Zheng Y, Li JT, Jiang J, Zeng XM, Chen Y, Liao ZY, Li C, Li XY, Gao W, Wang K, Zhang DR, Lu C, Yin T, Ding Z, Zhao GG, Chai J, Zhao WG, Zhang YP, Wiens JJ, Che J. Hidden hotspots of amphibian biodiversity in China. Proc Natl Acad Sci U S A 2024; 121:e2320674121. [PMID: 38684007 PMCID: PMC11098104 DOI: 10.1073/pnas.2320674121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
Identifying and protecting hotspots of endemism and species richness is crucial for mitigating the global biodiversity crisis. However, our understanding of spatial diversity patterns is far from complete, which severely limits our ability to conserve biodiversity hotspots. Here, we report a comprehensive analysis of amphibian species diversity in China, one of the most species-rich countries on Earth. Our study combines 20 y of field surveys with new molecular analyses of 521 described species and also identifies 100 potential cryptic species. We identify 10 hotspots of amphibian diversity in China, each with exceptional species richness and endemism and with exceptional phylogenetic diversity and phylogenetic endemism (based on a new time-calibrated, species-level phylogeny for Chinese amphibians). These 10 hotspots encompass 59.6% of China's described amphibian species, 49.0% of cryptic species, and 55.6% of species endemic to China. Only four of these 10 hotspots correspond to previously recognized biodiversity hotspots. The six new hotspots include the Nanling Mountains and other mountain ranges in South China. Among the 186 species in the six new hotspots, only 9.7% are well covered by protected areas and most (88.2%) are exposed to high human impacts. Five of the six new hotspots are under very high human pressure and are in urgent need of protection. We also find that patterns of richness in cryptic species are significantly related to those in described species but are not identical.
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Affiliation(s)
- Wei Xu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Yun-He Wu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Wei-Wei Zhou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Hong-Man Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Bao-Lin Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jin-Min Chen
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Weihua Xu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing100085, China
| | - Ding-Qi Rao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Haipeng Zhao
- School of Life Sciences, Henan University, Kaifeng475004, China
| | - Fang Yan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhiyong Yuan
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Ke Jiang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jie-Qiong Jin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Mian Hou
- Institute of Continuing Education, Sichuan Normal University, Chengdu610068, China
| | - Dahu Zou
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- College of Science, Tibet University, Lhasa850000, China
| | - Li-Jun Wang
- School of Life Sciences, Hainan Normal University, Haikou571158, China
| | - Yuchi Zheng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jia-Tang Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Jianping Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xiao-Mao Zeng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Youhua Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Zi-Yan Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Cheng Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu610041, China
| | - Xue-You Li
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wei Gao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Kai Wang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
| | - Dong-Ru Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Chenqi Lu
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming650204, China
| | - Tingting Yin
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Zhaoli Ding
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Gui-Gang Zhao
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Jing Chai
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - Wen-Ge Zhao
- Department of Biology, College of Life and Environment Science, Harbin Normal University, Harbin150080, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
| | - John J. Wiens
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ85721-0088
| | - Jing Che
- Key Laboratory of Genetic Evolution and Animal Models, and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, Nay Pyi Taw 05282, Myanmar
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17
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Sharnuud R, Ameca EI. Taxonomy, distribution, and contemporary exposure of terrestrial mammals to floods and human pressure across different areas for biodiversity conservation in China. Integr Zool 2024; 19:458-467. [PMID: 37553291 DOI: 10.1111/1749-4877.12753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2023]
Abstract
A significant research focus is placed on identifying animal species and areas at future risk to human-induced alterations of the environment and long-term changes in climatic conditions. Yet, the extent to which exposure to extreme climatic events and intense human pressure can increase the risk of harmful impacts on species remains poorly investigated. Focusing on terrestrial mammals in China, one of the world's megadiverse countries, we investigated patterns of contemporary exposure to floods and human pressures and determined their taxonomic representation and distribution across three major area-based conservation schemes, namely, national nature reserves (NNRs), priority areas for biodiversity conservation (PABCs), and key biodiversity areas (KBAs). Among the 440 species assessed with moderate or high exposure to floods, 327 (∼75%) also qualified as moderate or high in exposure to intense human pressure. These species mainly belong to the orders Chiroptera, Eulipotyphla, and Rodentia. Likewise, there were 305, 311, and 311 species with moderate or high exposure to flood and intense human pressure represented across NNRs, PABCs, and KBAs, respectively. Our findings support the prioritization of KBAs for expansion of site-based protection efforts such as NNRs in China, considering threats to species from exposure to adverse effects from both extreme climate and human pressure.
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Affiliation(s)
- Roman Sharnuud
- MOE Key Laboratory for Biodiversity Science & Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Eric I Ameca
- MOE Key Laboratory for Biodiversity Science & Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
- Climate Change Specialist Group, Species Survival Commission, International Union for Conservation of Nature, Gland, Switzerland
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18
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Chen J, Liu C, Li W, Zhang W, Wang Y, Clark AG, Lu J. From sub-Saharan Africa to China: Evolutionary history and adaptation of Drosophila melanogaster revealed by population genomics. SCIENCE ADVANCES 2024; 10:eadh3425. [PMID: 38630810 PMCID: PMC11023512 DOI: 10.1126/sciadv.adh3425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
Drosophila melanogaster is a widely used model organism for studying environmental adaptation. However, the genetic diversity of populations in Asia is poorly understood, leaving a notable gap in our knowledge of the global evolution and adaptation of this species. We sequenced genomes of 292 D. melanogaster strains from various ecological settings in China and analyzed them along with previously published genome sequences. We have identified six global genetic ancestry groups, despite the presence of widespread genetic admixture. The strains from China represent a unique ancestry group, although detectable differentiation exists among populations within China. We deciphered the global migration and demography of D. melanogaster, and identified widespread signals of adaptation, including genetic changes in response to insecticides. We validated the effects of insecticide resistance variants using population cage trials and deep sequencing. This work highlights the importance of population genomics in understanding the genetic underpinnings of adaptation, an effort that is particularly relevant given the deterioration of ecosystems.
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Affiliation(s)
- Junhao Chen
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Chenlu Liu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Weixuan Li
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Wenxia Zhang
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yirong Wang
- College of Biology, Hunan University, Changsha 410082, China
| | - Andrew G. Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Jian Lu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
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19
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Dai Y, Xia W, Zhu Y, Hacker C, Wang X, Li D. Historical changes in the distribution of the Sichuan golden snub-nosed monkey ( Rhinopithecus roxellana) in Sichuan Province, China. Ecol Evol 2024; 14:e11270. [PMID: 38633522 PMCID: PMC11021920 DOI: 10.1002/ece3.11270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 03/25/2024] [Accepted: 04/01/2024] [Indexed: 04/19/2024] Open
Abstract
The Sichuan golden snub-nosed monkey (Rhinopithecus roxellana) is a rare and endangered primate species endemic to China. Conducting research on the population distribution changes of the Sichuan golden snub-nosed monkey holds paramount importance for its conservation. Our study represented a comprehensive investigation into the population distribution of the Sichuan snub-nosed monkey by integrating data acquired from field surveys, protected areas, and historical records and using Geographic Information Systems (GIS) to explore changes in distribution across various time periods, including the historical (the Mid-to-Late Pleistocene), recent (1980-2000), and current (2001-2023). The research findings demonstrate a significant shift in the distribution range of the Sichuan golden snub-nosed monkey compared to historical time frames. Notably, between 1980 and 2000, there was a sharp decline in distribution area. Analyses revealed that the southernmost distribution county for the Sichuan golden snub-nosed monkey in Sichuan Province has shifted northward from Huili to Kangding. Furthermore, distribution changes in Sichuan Province are not solely characterized by a reduction in habitat area but also by a decrease in vertical distribution zones. Regions in the northeastern part of Sichuan with elevations below 1000 m, such as Guang'an City, Bazhong City, Dazhou City, and Nanchong City, no longer support the presence of the Sichuan golden snub-nosed monkey. At present, the distribution range is confined to elevations between 1000 and 4000 m in the two major mountain ranges of Qionglai and Minshan. A holistic approach is required to safeguard this species. The establishment of movement corridors can play a critical role in enhancing the overall connectivity of current distribution areas. Additionally, we propose implementing a hierarchical approach to protect current habitats. Spatially differentiated conservation measures should be implemented to prioritize the protection of key habitats while simultaneously monitoring anthropogenic activities in non-key habitats to prevent further fragmentation and isolation of the monkey's distribution areas.
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Affiliation(s)
- Yunchuan Dai
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education)China West Normal UniversityNanchongSichuan ProvinceChina
- Institute for Ecology and Environmental ResourcesChongqing Academy of Social SciencesChongqingChina
| | - Wancai Xia
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education)China West Normal UniversityNanchongSichuan ProvinceChina
- Key Laboratory of Conservation Biology of Rhinopithecus roxellana at China West Normal University of Sichuan ProvinceNanchongSichuan ProvinceChina
| | - Yujing Zhu
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education)China West Normal UniversityNanchongSichuan ProvinceChina
- Key Laboratory of Conservation Biology of Rhinopithecus roxellana at China West Normal University of Sichuan ProvinceNanchongSichuan ProvinceChina
| | | | - Xueyu Wang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education)China West Normal UniversityNanchongSichuan ProvinceChina
- Key Laboratory of Conservation Biology of Rhinopithecus roxellana at China West Normal University of Sichuan ProvinceNanchongSichuan ProvinceChina
| | - Dayong Li
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education)China West Normal UniversityNanchongSichuan ProvinceChina
- Key Laboratory of Conservation Biology of Rhinopithecus roxellana at China West Normal University of Sichuan ProvinceNanchongSichuan ProvinceChina
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20
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You Y, Jiang W, Yi L, Zhang G, Peng Z, Chang S, Hou F. Seeding alpine grasses in low altitude region increases global warming potential during early seedling growth. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 356:120679. [PMID: 38531141 DOI: 10.1016/j.jenvman.2024.120679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
Introduction of alpine grasses to low altitude regions has long been a crucial strategy for enriching germplasm diversity, cultivating and acclimating high-quality species, enhancing ecosystem resilience and adaptability, as well as facilitating ecosystem restoration. However, there is an urgent need to investigate the impacts of planting Gramineae seeds on greenhouse gas (GHG) emissions, particularly during the critical stage of early plant growth. In this study, four species of grass seeds (Stipa breviflora, Poa pratensis, Achnatherum splendens, Elymus nutans) were collected from 19 high-altitude regions surrounding the Qinghai-Tibet Plateau and sown at low-altitude. Measurements of GHG emissions at early seedling growth in the mesocosm experiment using static chamber method showed a strong increase in the cumulative emissions of CO2 (5.71%-9.19%) and N2O (11.36%-13.64%) (p < 0.05), as well as an elevated CH4 uptake (2.75%-5.50%) in sites where the four grass species were introduced, compared to bare soil. Consequently, there was a substantial rise in global warming potential (13.87%-16.33%) (p < 0.05) at grass-introduced sites. Redundancy analysis showed that seed traits, plant biomass, and seedling emergence percentage were the main driving biotic factors of three GHGs fluxes. Our study unveils the potential risk of escalating GHG emissions induced by introducing high altitude grasses to low altitude bare soil, elucidating the mechanism through linking seed traits with seedling establishment and environmental feedback. Furthermore, this offers a new perspective for assessing the impact of grass introduction on ecological environment of introduced site.
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Affiliation(s)
- Yang You
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Weiqi Jiang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Lingxin Yi
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Guangyun Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Zechen Peng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Shenghua Chang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Fujiang Hou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
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21
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Meng L, Li Y, Chen L, Sui M, Zhang G, Liu Q, Chen D, Wu Y, Yang Z, Chen S, Yang R, Zang L. Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape. FRONTIERS IN PLANT SCIENCE 2024; 15:1338596. [PMID: 38455729 PMCID: PMC10917898 DOI: 10.3389/fpls.2024.1338596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/07/2024] [Indexed: 03/09/2024]
Abstract
The various vegetation types in the karst landscape have been considered the results of heterogeneous habitats. However, the lack of a comprehensive understanding of regional biodiversity patterns and the underlying ecological processes limits further research on ecological management. This study established forest dynamic plots (FDPs) of the dominant vegetation types (shrubland, SL; mixed tree and shrub forest, MTSF; coniferous forest, CF; coniferous broadleaf mixed forest, CBMF; and broadleaf forest, BF) in the karst landscape and quantified the species diversity patterns and potential ecological processes. The results showed that in terms of diversity patterns, the evenness and species richness of the CF community were significantly lower than other vegetation types, while the BF community had the highest species richness. The other three vegetation types showed no significant variation in species richness and evenness. However, when controlling the number of individuals of FDPs, the rarefied species richness showed significant differences and ranked as BF > SL > MTSF > CBMF > CF, highlighting the importance of considering the impacts of abundance. Additionally, the community assembly of climax communities (CF or BF) was dominated by stochastic processes such as species dispersal or species formation, whereas deterministic processes (habitat filtering) dominated the secondary forests (SL, MTSF, and CBMF). These findings proved that community assembly differs mainly between the climax community and other communities. Hence, it is crucial to consider the biodiversity and of the potential underlying ecological processes together when studying regional ecology and management, particularly in heterogeneous ecosystems.
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Affiliation(s)
- Longchenxi Meng
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Yong Li
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Luyao Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Mingzhen Sui
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Guangqi Zhang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Qingfu Liu
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Danmei Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Yuhang Wu
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Zeyu Yang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Shiren Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Rui Yang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Lipeng Zang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
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22
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Cao L, Shao WH, Yi WJ, Zhang E. A review of conservation status of freshwater fish diversity in China. JOURNAL OF FISH BIOLOGY 2024; 104:345-364. [PMID: 37927158 DOI: 10.1111/jfb.15606] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/17/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023]
Abstract
China harbors a high species diversity of freshwater fishes not shared with any of its neighboring nations. Freshwater fish diversity in the country has been under severe threat from human activities over the past decades, thus conservation freshwater fishes and ecosystems is urgently needed. To accumulate baseline data for guiding protection actions, the third red list assessment of Chinese freshwater fishes was carried out. Among Chinese freshwater fishes assessed, there are 355 at-risk species (22.3% of the total), including 69 ranked as Critically Endangered, 97 as Endangered, and 189 as Vulnerable. Two species are classified as Extinct and one as Regionally Extinct. China's threat level seems to be lower than the known average level found in the IUCN's global assessment of freshwater fishes, but this is an artifact of a high rate of species classified as Data Deficient. Conservation of freshwater fishes is presently facing a grim situation in China. Imperilment of Chinese freshwater fishes is primarily attributed to habitat loss and degradation arising from human perturbations, particularly river damming. Despite the adoption of protected areas setting up, captive breeding and release, and a fishing moratorium, conservation efforts for freshwater fishes are compromised by disproportional attention in China's biodiversity conservation, baseline data deficiency, insufficiently designed protection networks, and inefficient or inadequate implementation of conservation strategies. To achieve the objectives of Chinese freshwater fish conservation, it is proposed to conduct a national-scale survey of fish diversity and reassess their at-risk status, develop systematic conservation planning of freshwater fish diversity and ecosystems, prioritize strategies for protected areas development, perform genetic-based captive breeding for releasing in concert with other protection actions, and implement flexible fishing moratorium strategies in different water bodies.
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Affiliation(s)
- Liang Cao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, People's Republic of China
| | - Wei-Han Shao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, People's Republic of China
| | - Wen-Jing Yi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, People's Republic of China
| | - E Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, People's Republic of China
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23
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Mauck KE, Gebiola M, Percy DM. The Hidden Secrets of Psylloidea: Biology, Behavior, Symbionts, and Ecology. ANNUAL REVIEW OF ENTOMOLOGY 2024; 69:277-302. [PMID: 37738463 DOI: 10.1146/annurev-ento-120120-114738] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
Psyllids constitute a diverse group of sap-feeding Sternorrhyncha that were relatively obscure until it was discovered that a handful of species transmit bacterial plant pathogens. Yet the superfamily Psylloidea is much richer than the sum of its crop-associated vectors, with over 4,000 described species exhibiting diverse life histories and host exploitation strategies. A growing body of research is uncovering fascinating insights into psyllid evolution, biology, behavior, and species interactions. This work has revealed commonalities and differences with better-studied Sternorrhyncha, as well as unique evolutionary patterns of lineage divergence and host use. We are also learning how psyllid evolution and foraging ecology underlie life history traits and the roles of psyllids in communities. At finer scales, we are untangling the web of symbionts across the psyllid family tree, linking symbiont and psyllid lineages, and revealing mechanisms underlying reciprocal exchange between symbiont and host. In this review, we synthesize and summarize key advances within these areas with a focus on free-living (nongalling) Psylloidea.
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Affiliation(s)
- Kerry E Mauck
- Department of Entomology, University of California, Riverside, California, USA; ,
| | - Marco Gebiola
- Department of Entomology, University of California, Riverside, California, USA; ,
| | - Diana M Percy
- Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada;
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24
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Xu C, Yu Q, Wang F, Qiu S, Ai M, Zhao J. Identifying and optimizing ecological spatial patterns based on the bird distribution in the Yellow River Basin, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119293. [PMID: 37827082 DOI: 10.1016/j.jenvman.2023.119293] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/02/2023] [Accepted: 10/06/2023] [Indexed: 10/14/2023]
Abstract
In the Yellow River Basin (YRB), there exists a rich biodiversity of species that has been shaped by its unique geography, climate, and human activities. However, the high speed of economic development has resulted in the fragmentation and loss of habitats that are crucial for the survival of these species. To address this problem, constructing ecological networks has emerged as a promising approach for biodiversity preservation. In the study, we centered on the YRB and employed bird communities as an indicator species to identify ecological sources by combining bioclimatic variables and land use data with the Maximum Entropy (MaxEnt) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models. We generated a resistance surface using various data such as Digital Elevation Model (DEM), the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), nighttime light, road density, railway density, and waterway density. So, we then simulated ecological corridors applying the Minimum Cumulative Resistance (MCR) model and constructed a bird diversity protection network. The results we found suggested that bird hotspots were predominantly clustered upstream and downstream in the YRB. We identified 475 sources covering a total area of 65,088 km2, 681 corridors with a total length of 11,495.05 km. This network served as a critical ecological facility to sustain and protect biodiversity. The bird ecological corridors in the YRB showed that a dense east-west pattern in the central area, with a short length in the west and east and a long length in the central area. Although the central region lacked ecological sources, the east and west were still connected as a tight whole. Two scenarios showed adding ecological stepping stones had a better optimization effect than enhancing ecological connectivity.
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Affiliation(s)
- Chenglong Xu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China.
| | - Qiang Yu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China.
| | - Fei Wang
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Shi Qiu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Mingsi Ai
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Jikai Zhao
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
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25
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Qin F, Xue T, Zhang X, Yang X, Yu J, Gadagkar SR, Yu S. Past climate cooling and orogenesis of the Hengduan Mountains have influenced the evolution of Impatiens sect. Impatiens (Balsaminaceae) in the Northern Hemisphere. BMC PLANT BIOLOGY 2023; 23:600. [PMID: 38030965 PMCID: PMC10685625 DOI: 10.1186/s12870-023-04625-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/20/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Impatiens sect. Impatiens is distributed across the Northern Hemisphere and has diversified considerably, particularly within the Hengduan Mountains (HDM) in southwest China. Yet, the infra-sectional phylogenetic relationships are not well resolved, largely due to limited taxon sampling and an insufficient number of molecular markers. The evolutionary history of its diversification is also poorly understood. In this study, plastome data and the most complete sampling to date were used to reconstruct a robust phylogenetic framework for this section. The phylogeny was then used to investigate its biogeographical history and diversification patterns, specifically with the aim of understanding the role played by the HDM and past climatic changes in its diversification. RESULTS A stable phylogeny was reconstructed that strongly supported both the monophyly of the section and its division into seven major clades (Clades I-VII). Molecular dating and ancestral area reconstruction suggest that sect. Impatiens originated in the HDM and Southeast China around 11.76 Ma, after which different lineages dispersed to Northwest China, temperate Eurasia, and North America, mainly during the Pliocene and Pleistocene. An intercontinental dispersal event from East Asia to western North America may have occurred via the Bering Land Bridge or Aleutian Islands. The diversification rate was high during its early history, especially with the HDM, but gradually decreased over time both within and outside the HDM. Multiple linear regression analysis showed that the distribution pattern of species richness was strongly associated with elevation range, elevation, and mean annual temperature. Finally, ancestral niche analysis indicated that sect. Impatiens originated in a relatively cool, middle-elevation area. CONCLUSIONS We inferred the evolutionary history of sect. Impatiens based on a solid phylogenetic framework. The HDM was the primary source or pump of its diversity in the Northern Hemisphere. Orogeny and climate change may have also shaped its diversification rates, as a steady decrease in the diversification rate coincided with the uplift of the HDM and climate cooling. These findings provide insights into the distribution pattern of sect. Impatiens and other plants in the Northern Hemisphere.
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Affiliation(s)
- Fei Qin
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Tiantian Xue
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Xiaoxia Zhang
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Xudong Yang
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jianghong Yu
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- College of Forestry, Guizhou University, Guiyang, 550025, China
| | - Sudhindra R Gadagkar
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Glendale, AZ, 85308, USA.
- College of Veterinary Medicine, Midwestern University, Glendale, AZ, 85308, USA.
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, 85308, USA.
| | - Shengxiang Yu
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- China National Botanical Garden, Beijing, 100093, China.
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Teng SN, Svenning JC, Xu C. Large mammals and trees in eastern monsoonal China: anthropogenic losses since the Late Pleistocene and restoration prospects in the Anthropocene. Biol Rev Camb Philos Soc 2023; 98:1607-1632. [PMID: 37102332 DOI: 10.1111/brv.12968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 04/16/2023] [Accepted: 04/18/2023] [Indexed: 04/28/2023]
Abstract
Massive human-induced declines of large-sized animals and trees (megabiota) from the Late Pleistocene to the Anthropocene have resulted in downsized ecosystems across the globe, in which components and functions have been greatly simplified. In response, active restoration projects of extant large-sized species or functional substitutes are needed at large scales to promote ecological processes that are important for ecosystem self-regulation and biodiversity maintenance. Despite the desired global scope of such projects, they have received little attention in East Asia. Here, we synthesise the biogeographical and ecological knowledge of megabiota in ancient and modern China, with relevant data mostly located in eastern monsoonal China (EMC), aiming to assess its potential for restoring functionally intact ecosystems modulated by megabiota. We found that during the Late Pleistocene, 12 mammalian megafaunal (carnivores ≥15 kg and herbivores ≥500 kg) species disappeared from EMC: one carnivore Crocuta ultima (East Asian spotted hyena) and 11 herbivores including six megaherbivores (≥1000 kg). The relative importance of climate change and humans in driving these losses remains debated, despite accumulating evidence in favour of the latter. Later massive depletion of megafauna and large-sized (45-500 kg) herbivores has been closely associated with agricultural expansion and societal development, especially during the late Holocene. While forests rich in large timber trees (33 taxa in written records) were common in the region 2000-3000 years ago, millennial-long logging has resulted in considerable range contractions and at least 39 threatened species. The wide distribution of C. ultima, which likely favoured open or semi-open habitats (like extant spotted hyenas), suggests the existence of mosaic open and closed vegetation in the Late Pleistocene across EMC, in line with a few pollen-based vegetation reconstructions and potentially, or at least partially, reflecting herbivory by herbivorous megafauna. The widespread loss of megaherbivores may have strongly compromised seed dispersal for both megafruit (fleshy fruits with widths ≥40 mm) and non-megafruit plant species in EMC, especially in terms of extra-long-distance (>10 km) dispersal, which is critical for plant species that rely on effective biotic agents to track rapid climate change. The former occurrence of large mammals and trees have translated into rich material and non-material heritages passed down across generations. Several reintroduction projects have been implemented or are under consideration, with the case of Elaphurus davidianus a notable success in recovering wild populations in the middle reaches of the Yangtze River, although trophic interactions with native carnivorous megafauna have not yet been restored. Lessons of dealing with human-wildlife conflicts are key to public support for maintaining landscapes shared with megafauna and large herbivores in the human-dominated Anthropocene. Meanwhile, potential human-wildlife conflicts, e.g. public health risks, need to be scientifically informed and effectively reduced. The Chinese government's strong commitment to improved policies of ecological protection and restoration (e.g. ecological redlines and national parks) provides a solid foundation for a scaling-up contribution to the global scope needed for solving the crisis of biotic downsizing and ecosystem degradation.
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Affiliation(s)
- Shuqing N Teng
- School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, 8000, Denmark
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing, 210023, China
- Key Laboratory of Restoration and Reconstruction of Degraded Ecosystems in northwestern China of Ministry of Education, Ningxia University, Yinchuan, 750021, China
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Li X, Liang E, Camarero JJ, Rossi S, Zhang J, Zhu H, Fu YH, Sun J, Wang T, Piao S, Peñuelas J. Warming-induced phenological mismatch between trees and shrubs explains high-elevation forest expansion. Natl Sci Rev 2023; 10:nwad182. [PMID: 37671321 PMCID: PMC10476895 DOI: 10.1093/nsr/nwad182] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/21/2023] [Accepted: 06/24/2023] [Indexed: 09/07/2023] Open
Abstract
Despite the importance of species interaction in modulating the range shifts of plants, little is known about the responses of coexisting life forms to a warmer climate. Here, we combine long-term monitoring of cambial phenology in sympatric trees and shrubs at two treelines of the Tibetan Plateau, with a meta-analysis of ring-width series from 344 shrubs and 575 trees paired across 11 alpine treelines in the Northern Hemisphere. Under a spring warming of +1°C, xylem resumption advances by 2-4 days in trees, but delays by 3-8 days in shrubs. The divergent phenological response to warming was due to shrubs being 3.2 times more sensitive than trees to chilling accumulation. Warmer winters increased the thermal requirement for cambial reactivation in shrubs, leading to a delayed response to warmer springs. Our meta-analysis confirmed such a mechanism across continental scales. The warming-induced phenological mismatch may give a competitive advantage to trees over shrubs, which would provide a new explanation for increasing alpine treeline shifts under the context of climate change.
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Affiliation(s)
- Xiaoxia Li
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
- Laboratoire sur les écosystèmes terrestres boréaux, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi G7H2B1, Canada
| | - Eryuan Liang
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - J Julio Camarero
- InstitutoPirenaico de Ecología (IPE-CSIC), Zaragoza 50059, Spain
| | - Sergio Rossi
- Laboratoire sur les écosystèmes terrestres boréaux, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi G7H2B1, Canada
| | - Jingtian Zhang
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Haifeng Zhu
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yongshuo H Fu
- College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Jian Sun
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Wang
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Shilong Piao
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Josep Peñuelas
- CREAF, Cerdanyola del Valles, Barcelona 08193, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona 08193, Spain
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Lu YR, Fang CC, He SP. cnfishbase: A cyber Chinese fish database. Zool Res 2023; 44:950-953. [PMID: 37721104 PMCID: PMC10559084 DOI: 10.24272/j.issn.2095-8137.2023.087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 05/17/2023] [Indexed: 09/19/2023] Open
Affiliation(s)
- Yong-Rui Lu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cheng-Chi Fang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
| | - Shun-Ping He
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
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Chen J, Zhang Y, Liu W, Wang C, Ma F, Xu H. Distribution Patterns and Determinants of Invasive Alien Plants in China. PLANTS (BASEL, SWITZERLAND) 2023; 12:2341. [PMID: 37375966 DOI: 10.3390/plants12122341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/13/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023]
Abstract
In recent years, invasive alien plants (IAPs) have caused serious ecological disasters and economic losses in China. This study combined three IAP species richness-related indices (species richness of IAPs, first records of IAPs, and the relative species richness of IAPs), as well as indices reflecting distribution and dispersal patterns (average similarity coefficient of IAPs) and invasiveness (average risk score of IAPs), to conduct an integrated regional-invasion risk assessment based on the principal component analysis (PCA) method. Partial least-squares (PLS) regression was conducted to explore the explanatory power of 12 environmental and anthropogenic factors on different invasion indices. The results indicated that coastal provinces and Yunnan had high IAP introduction risk, as well as high synthetic-risk scores. The dispersal of IAPs in mid-latitude provinces should be particularly prevented. For species richness of IAPs, more environmental factors with variable importance for the project (VIP) values higher than 1 were retained in the optimal model, reflecting the importance of environmental filtering on IAPs. Visitors were the most important predictor for first records of IAPs. Compared to species richness (R2 = 79.5%), first records were difficult to predict (R2 = 60.4%) and were influenced by anthropogenic factors. There was spatial distribution congruence of various families of IAPs. Generally, the correlations of the residuals of species richness were still significant, with 0.421 (p < 0.05) as the lowest Pearson correlation coefficient, which indicated that external factors could not fully explain the spatial distribution congruence. These findings could enrich the relevant research on IAP invasion mechanisms and provide suggestions for regional IAP detection and response.
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Affiliation(s)
- Jing Chen
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Yanjing Zhang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Wei Liu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Chenbin Wang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Fangzhou Ma
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Haigen Xu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
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Zhou C, Xia S, Wen Q, Song Y, Jia Q, Wang T, Liu L, Ouyang T. Genetic structure of an endangered species Ormosia henryi in southern China, and implications for conservation. BMC PLANT BIOLOGY 2023; 23:220. [PMID: 37098472 PMCID: PMC10131447 DOI: 10.1186/s12870-023-04231-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/15/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The evergreen broadleaved forest (EBLF) is an iconic vegetation type of East Asia, and it contributes fundamentally to biodiversity-based ecosystem functioning and services. However, the native habitat of EBLFs keeps on decreasing due to anthropogenic activities. Ormosia henryi is a valuable rare woody species in EBLFs that is particularly sensitive to habitat loss. In this study, ten natural populations of O. henryi in southern China were sampled, and then genotyping by sequencing (GBS) was applied to elucidate the standing genetic variation and population structure of this endangered species. RESULTS In ten O. henryi populations, 64,158 high-quality SNPs were generated by GBS. Based on these markers, a relatively low level of genetic diversity was found with the expected heterozygosity (He) ranging from 0.2371 to 0.2901. Pairwise FST between populations varied from 0.0213 to 0.1652, indicating a moderate level of genetic differentiation. However, contemporary gene flow between populations were rare. Assignment test and principal component analysis (PCA) both supported that O. henryi populations in southern China could be divided into four genetic groups, and prominent genetic admixture was found in those populations located in southern Jiangxi Province. Mantel tests and multiple matrix regression with randomization (MMRR) analyses suggested that isolation by distance (IBD) could be the possible reason for describing the current population genetic structure. In addition, the effective population size (Ne) of O. henryi was extremely small, and showed a continuous declining trend since the Last Glacial Period. CONCLUSIONS Our results indicate that the endangered status of O. henryi is seriously underestimated. Artificial conservation measures should be applied as soon as possible to prevent O. henryi from the fate of extinction. Further studies are needed to elucidate the mechanism that leading to the continuous loss of genetic diversity in O. henryi and help to develop a better conservation strategy.
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Affiliation(s)
- Chengchuan Zhou
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Shiqi Xia
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Qiang Wen
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Ying Song
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Quanquan Jia
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Tian Wang
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China
| | - Liting Liu
- Identification and Evaluation Center for Forest Germplasm Resources in Jiangxi Province, Jiangxi Academy of Forestry, Nanchang, China.
| | - Tianlin Ouyang
- Jiangxi Provincial Forestry Science and Technology Experiment Center, Ganzhou, China.
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Huang X, Lin C, Ji L, Feng G. Species inventories from different data sources “shaping” slightly different avifauna diversity patterns. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2023.1121422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
IntroductionSpecies inventories based on various data sources have been widely used in biodiversity research, conservation policy formulation, reserve designation and biodiversity resource management. In this paper, we explored the relationships of species inventories obtained from different sources and whether they would affect the inference of biodiversity patterns and their environmental drivers.MethodsWe compiled the species inventories from different data sources (observational data including large amounts of citizen-based observational records and digitalized specimens, and avifauna data extracted from avifaunas which mainly integrated professional-based species surveys, expert knowledge and documentary records) at the prefectural level in China. Then we explored the relationships of different inventories and compared the correlations between the taxonomic, phylogenetic, functional diversity calculated from different datasets and the environmental factors.Results and DiscussionThe results showed that the avifauna datasets contributed more additional species to the combined species inventories when the species richness was relatively low and vice versa. Species inventories integrated from two different data sources formed complementary relationship rather than nested or totally different relationships. In addition, the species inventories based on observational data had no obvious disadvantage or were even better at inferring the biodiversity patterns than those based on avifauna data. The stepwise multiple regression analyses showed that the best models were the ones using the species inventories combined by observational and avifauna dataset, and the best models built with different datasets included inconsistent environmental variables. Thus, the species inventories from different data sources will indeed affect the inference of the correlations between taxonomic diversity, phylogenetic diversity, functional diversity and environmental factors. Moreover, although it may be more reliable to use a combined species inventory to analyze the relationship between diversity indices and environmental factors, individualized improvement schemes should be proposed for different data sources to fill the data gaps.
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Zhou LW, May TW. Fungal taxonomy: current status and research agendas for the interdisciplinary and globalisation era. Mycology 2023; 14:52-59. [PMID: 36816771 PMCID: PMC9930751 DOI: 10.1080/21501203.2022.2103194] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
Abstract
Fungal taxonomy is a fundamental discipline that aims to recognise all fungi and their kinships. Approximately 5% of a practical estimate of 2.2-3.8 million species globally are currently known, and consequently the Fungal Tree of Life (FTOL) is very incompletely reconstructed. With the advances of new technologies, mycology is marching into the interdisciplinary and globalisation era. To make fungal taxonomy relevant, innovative sampling methods and phylogenomics analyses should be performed to reconstruct a much more comprehensive FTOL. In association with this densely sampled FTOL, multiomics will reveal what drives fungal species diversification and how fungal traits evolve to adapt to various environments, while metagenomics will facilitate the understanding and protection of the ecological functions of fungi. A coordinated approach to pursuing these research agendas that includes conceiving of and costing a mission to describe all the fungi on the planet will unlock potential of fungi to support sustainable development of our society.
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Affiliation(s)
- Li-Wei Zhou
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,CONTACT Li-Wei Zhou
| | - Tom W. May
- Royal Botanic Gardens Victoria, Melbourne, Australia,Tom W. May
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Xu Y, Zang R. Conservation of rare and endangered plant species in China. iScience 2023; 26:106008. [PMID: 36798437 PMCID: PMC9926111 DOI: 10.1016/j.isci.2023.106008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Rare and endangered plant species (REPs) are facing high danger of extinction, yet a comprehensive and up-to-date review on their conservation in China is still lacking. This paper systematically collected studies and achievements on REPs conservation, including species surveys and monitoring, cause of endangerment, in situ conservation, ex situ conservation, reintroduction, propagation, conservation legislation, public participation, progress in conservation of wild plant with extremely small populations, and progress in China's implementation of the Convention on Biological Diversity. Although enormous advances have been made in conservation policies and legislations, protection systems, and research, as well as public education and international collaborations, the conservation efficiency is still restricted largely by the conflict between economic growth and biodiversity conservation in China. In order to meet its commitments to the new Post-2020 Global Biodiversity Framework, more work on basic investigation and long-term observation, as well as advanced technologies and application-oriented research on REPs should be carried out.
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Affiliation(s)
- Yue Xu
- Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Runguo Zang
- Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
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34
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Diversity and conservation of higher plants in Northwest Yunnan-Southeast Tibet. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
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35
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Mo Y, Li T, Bao Y, Zhang J, Zhao Y, Ye J, Zhang Y, Wu W, Tang J, Li Z. Correlations and dominant climatic factors among diversity patterns of plant families, genera, and species. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1010067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
At present, the relationship between the diversity distribution patterns of different taxonomic levels of plants and climatic factors is still unclear. This paper explored the diversity pattern of vascular plant families, genera, and species in China at the municipal scale. It also studied the effects of accumulated temperature ≥ 10°C, annual precipitation, and hydrothermal base which reflect the effect of hydrothermal resources on the plant diversity pattern. The results showed that: There were extremely significant correlations among the diversities of plant families, genera, and species, and the interpretation degree of diversity between adjacent the taxonomic levels was more than 90%. The diversity pattern of plant families was mainly affected by dominant climatic state indicators such as the maximum value of accumulated temperature, annual precipitation, and hydrothermal base, and the gradient range of the hydrothermal base, which showed a clear latitudinal gradient law. The diversity pattern of plant species was found to be mainly dependent on the climatic heterogeneity indicators, being closely related to the heterogeneity indicators and sum indicators of the hydrothermal base. It was also affected by the range of precipitation gradient range. Plant genus and its diversity pattern are not only significantly affected by heterogeneity and sum indicators but also closely related to climate state indicators. In comparison with the humidity index in vegetation ecological studies, the related indicators of the hydrothermal base proposed in this paper excelled at revealing the relationship between climate and diversity patterns of plant families, genera, and species, and could effectively solve the species-area relationship issue in arid and low-temperature areas. The results of this paper have presented important theoretical and practical values for comprehensively understanding the correlation between climate and diversity of plant families, genera, and species, clarifying the impact of climate difference and climate change on plant diversity.
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Wang X, Liang D, Wang X, Tang M, Liu Y, Liu S, Zhang P. Phylogenomics reveals the evolution, biogeography, and diversification history of voles in the Hengduan Mountains. Commun Biol 2022; 5:1124. [PMID: 36284161 PMCID: PMC9596468 DOI: 10.1038/s42003-022-04108-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/12/2022] [Indexed: 11/09/2022] Open
Abstract
The Hengduan Mountains (HDM) of China are a biodiversity hotspot whose temperate flora and fauna are among the world's richest. However, the origin and evolution of biodiversity in the HDM remain poorly understood, especially in mammals. Given that the HDM shows the highest richness of vole species in the world, we used whole-exome capture sequencing data from the currently most comprehensive sampling of HDM voles to investigate their evolutionary history and diversification patterns. We reconstructed a robust phylogeny and re-estimated divergence times of the HDM voles. We found that all HDM voles could be divided into a western lineage (Volemys, Proedromys, and Neodon) and an eastern lineage (Caryomys and Eothenomys), and the two lineages originated from two migration events from North Eurasia to the HDM approximately 9 Mya. Both vole lineages underwent a significant acceleration of net diversification from 8-5 Mya, which was temporally congruent with the orogeny of the HDM region. We also identified strong intertribal gene flow among the HDM voles and hypothesized that frequent gene flow might have facilitated the speciation burst of the HDM voles. Our study highlights the importance of both environmental and biotic factors in shaping the biodiversity of mammals in mountain ecosystems.
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Affiliation(s)
- XiaoYun Wang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Dan Liang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | | | | | - Yang Liu
- Sichuan Academy of Forestry, Chengdu, China
| | | | - Peng Zhang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, Guangdong Province, China.
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37
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Qian H, Qian S. Floristic homogenization as a result of the introduction of exotic species in China. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Hong Qian
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany Chinese Academy of Sciences Kunming China
- Research and Collections Center Illinois State Museum Springfield Illinois USA
| | - Shenhua Qian
- Key Laboratory of the Three Gorges Reservoir Region's Eco‐Environment Ministry of Education, Chongqing University Chongqing China
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Human Activity Intensity and Its Spatial-Temporal Evolution in China’s Border Areas. LAND 2022. [DOI: 10.3390/land11071089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Monitoring human activities in border areas is challenging due to the complex geographical environment and diverse people. China has the longest terrestrial boundary and the highest number of neighboring countries in the world. In this study, a human activity intensity index (HAI) was proposed based on land cover, population density, and satellite-based nighttime light for a long-term macroscopic study. The HAI was calculated at 1 km resolution within the 50 km buffer zone of China’s land boundary on each side in 1992, 2000, 2010, and 2020, respectively. Results show that human activity is low in about 90% of the study area. Overall, the HAI on the Chinese side is higher than that on the neighboring side, and the intensity of land use on the Chinese side has increased significantly from 1992 to 2020. Among China’s neighbors, India has the highest HAI with the fastest growth. With the changes in the HAI between China and its neighboring countries, four regional evolution patterns are found in the study area: Sino-Russian HAI decline; Sino-Kazakhstan HAI unilateral growth; Indian HAI continuous growth; China and Indochina HAI synchronized growth. Hotspot analysis reveals three spatial evolution patterns, which are unilateral expansion, bilateral expansion, and cross-border fusion. Both the “border effect” and “agglomeration effect” exist in border areas. The HAI changes in border areas not only impact the eco-environment but also affect geopolitics and geoeconomics. The HAI can be used as an instrument for decision-making and cooperation between China and neighboring countries in such areas as ecological protection, border security, and border trade.
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Horizontal Distribution Characteristics and Environmental Factors of Shrubland Species Diversity in Hainan Island, China. LAND 2022. [DOI: 10.3390/land11071047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Tropical forests play a vital role in preserving world biodiversity and supporting ecological services. Moreover, the spatial distribution of species diversity and its causes are one of the core issues in community ecology. Therefore, the aim of this study was to explore the horizontal distribution characteristics of shrub community diversity in the tropical region of Hainan and reveal the relationship between species diversity and environmental factors under anthropogenic disturbances. Based on a survey of 39 shrubland plots, we evaluated shrub community diversity by calculating Hill number and Pielou evenness index. Regression analysis was employed to determine the horizontal distribution pattern, and Pearson correlation and redundancy analysis were applied to reveal the relationship between species diversity and environmental factors. The results reveal that species richness increased from west to east and the horizontal distribution of shrubland species diversity in Hainan was largely determined by rainfall and edaphic factors and not by topographic factors. Rainfall factors were the most influential. Although there was a significant human disturbance in Hainan shrublands, environmental factors were still influencing the distribution of these shrublands, and there was a lower shrub diversity in areas with poor moisture conditions, which should be studied more. Our results are of great significance to the study of tropical vegetation and regional biodiversity conservation.
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Hu S, Cheng Y, Pan R, Zou F, Lee TM. Understanding the social impacts of enforcement activities on illegal wildlife trade in China. AMBIO 2022; 51:1643-1657. [PMID: 34962642 PMCID: PMC9110577 DOI: 10.1007/s13280-021-01686-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/22/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Illegal wildlife trade enforcement is a cornerstone conservation strategy worldwide, yet we have a limited understanding on its social impacts. Using Chinese online wildlife seizure news (2003-2018), we evaluated the interactions among enforcement operations, news frequency, and social engagement (i.e., whistle-blowing) frequency. Our results showed that intensive enforcement operations, which commenced after 2012, have social impacts by increasing the frequency of all seizure news significantly by 28% [95% Confidence Interval (CI): 5%, 51%] and those via whistle-blowing by 24% [95% CI: 2%, 45%], when compared to counterfactual models where possible confounding factors were accounted for. Furthermore, we revealed the potential interaction between enforcement seizure news with and without social engagement, and the consequential social feedback process. Of the species identified from 'whistle-blowing' news, up to 28% are considered as high conservation priorities. Overall, we expanded our understanding of the enforcement impacts to social dimensions, which could contribute to improving the cost-effectiveness of such conservation efforts.
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Affiliation(s)
- Sifan Hu
- School of Life Sciences and State Key Laboratory of Biological Control, Sun Yat-Sen University, Guangzhou, 510275 Guangdong China
| | - Yu Cheng
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, 510006 Guangdong China
| | - Rong Pan
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, 510006 Guangdong China
| | - Fasheng Zou
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Science, Guangzhou, 510260 Guangdong China
| | - Tien Ming Lee
- School of Life Sciences and State Key Laboratory of Biological Control, Sun Yat-Sen University, Guangzhou, 510275 Guangdong China
- School of Ecology, Sun Yat-Sen University, Guangzhou, 510006 Guangdong China
- Oxford Martin School, University of Oxford, Oxford, OX1 3BD UK
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Wang K, Zhou XH, Liu D, Li Y, Yao Z, He WM, Liu Y. The uplift of the Hengduan Mountains contributed to the speciation of three Rhododendron species. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Estimation and Spatio-Temporal Change Analysis of NPP in Subtropical Forests: A Case Study of Shaoguan, Guangdong, China. REMOTE SENSING 2022. [DOI: 10.3390/rs14112541] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Exploring the spatial and temporal dynamic characteristics of regional forest net primary productivity (NPP) in the context of global climate change can not only provide a theoretical basis for terrestrial carbon cycle studies, but also provide data support for medium- and long-term sustainable management planning of regional forests. In this study, we took Shaoguan City, Guangdong Province, China as the study area, and used Landsat images and National Forest Continuous Inventory (NFCI) data in the corresponding years as the main data sources. Random forest (RF), multiple linear regression (MLR), and BP neural network were the three models applied to estimate forest NPP in the study area. Theil–Sen estimation, Mann–Kendall trend analysis and the standard deviation ellipse (SDE) were chosen to analyze the spatial and temporal dynamic characteristics of NPP, whereas structural equation modeling (SEM) was used to analyze the driving factors of NPP changes. The results show that the performance of the RF model is better than the MLR and BP neural network models. The NPP in the study area showed an increasing trend, as the NPP was 5.66 t·hm−2·a−1, 7.68 t·hm−2·a−1, 8.17 t·hm−2·a−1, 8.25 t·hm−2·a−1, and 10.52 t·hm−2·a−1 in 1997, 2002, 2007, 2012, and 2017, respectively. Spatial aggregation of NPP was increased in the period of 1997–2017, and the center shifted from the mid-west to the southwest. In addition, the forest stand factors had the greatest effect on NPP in the study area. The forest stand factors and environmental factors had a positive effect on NPP, and understory factors had a negative effect. Overall, although forest NPP has fluctuated due to the changes of forestry policies and human activities, forest NPP in Shaoguan has been increasing. In the future, the growth potential of NPP in Shaoguan City can be further increased by continuously expanding the area proportion of mixed forests and rationalizing the forest age group structure.
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Yang K, Chen G, Xian J, Chen W. Varying Relationship Between Vascular Plant Leaf Area and Leaf Biomass Along an Elevational Gradient on the Eastern Qinghai-Tibet Plateau. FRONTIERS IN PLANT SCIENCE 2022; 13:824461. [PMID: 35498702 PMCID: PMC9040073 DOI: 10.3389/fpls.2022.824461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/07/2022] [Indexed: 06/12/2023]
Abstract
The altitudinal gradient is one of the driving factors leading to leaf trait variation. It is crucial to understand the response and adaptation strategies of plants to explore the variation of leaf traits and their scaling relationship along the altitudinal gradient. We measured six main leaf traits of 257 woody species at 26 altitudes ranging from 1,050 to 3,500 m within the eastern Qinghai-Tibet Plateau and analyzed the scaling relationships among leaf fresh weight, leaf dry weight, and leaf area. The results showed that leaf dry weight increased significantly with elevation, while leaf fresh weight and leaf area showed a unimodal change. Leaf dry weight and fresh weight showed an allometric relationship, and leaf fresh weight increased faster than leaf dry weight. The scaling exponent of leaf area and leaf fresh weight (or dry weight) was significantly greater than 1, indicating that there have increasing returns for pooled data. For α and normalization constants (β), only β of leaf area vs. leaf fresh weight (or dry weight) had significantly increased with altitude. All three paired traits had positive linear relationships between α and β. Our findings suggest that plants adapt to altitudinal gradient by changing leaf area and biomass investment and coordinating scaling relationships among traits. But leaf traits variation had a minor effect on scaling exponent.
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Affiliation(s)
- Ketong Yang
- College of Forestry, Gansu Agricultural University, Lanzhou, China
| | - Guopeng Chen
- College of Forestry, Gansu Agricultural University, Lanzhou, China
| | - Junren Xian
- College of Environmental Sciences, Sichuan Agricultural University, Chengdu, China
| | - Weiwei Chen
- College of Forestry, Gansu Agricultural University, Lanzhou, China
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Mammalian research, diversity and conservation in the Far Eastern Himalaya Landscape: A review. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Pagani-Núñez E, Xu Y, Yan M, He J, Jiang Z, Jiang H. Trade-offs between economic development and biodiversity conservation on a tropical island. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36. [PMID: 35338514 DOI: 10.1111/cobi.13912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/10/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
Resolving trade-offs between economic development and biodiversity conservation needs is one of the defining issues of our time. This is crucial in currently developing countries and in particularly sensitive systems harboring high biodiversity. Yet, such a task can be challenging as human activities may have complex effects on biodiversity. Here we assessed the effects of intense economic development on different components of biodiversity using Hainan Island (South China) as model. This highly biodiverse tropical island has experienced intense economic development and extensive forest to agriculture conversion and urbanization across the last two decades. We characterized three main habitat clusters, based on local land use, climate and economic changes across 145 grids (10×10 km), and estimated avian biodiversity responses between 1998 and 2013. We recorded ongoing taxonomic biotic homogenization at the regional scale (i.e., the whole island), evidenced by decreasing differences between traditional and directional alpha diversity. Communities became overall phylogenetically clustered and functionally overdispersed. Biodiversity's priority effects were pervasive, with less diverse communities showing positive and more diverse communities showing negative biodiversity changes. Finally, at the local scale, different economic and environmental indicators showed complex and divergent effects across habitat clusters and biodiversity components. These effects were only partially ameliorated within a newly established Ecological Function Conservation Area in the mountainous central part of the island. Thus, our results depict complex effects of economic development on different biodiversity dimensions in different areas of the island with different land uses and protection regimes, and between local and regional spatial scales. Profound ecosystem damage associated with economic development was partially averted, probably due to enhanced biodiversity conservation policies and law enforcement, yet at the cost of regional-scale biotic homogenization and local-scale biodiversity loss. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Emilio Pagani-Núñez
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Yang Xu
- Environmental Horticulture Research Institute of Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Mingxiao Yan
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Jiekun He
- Spatial Ecology Lab, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Zifei Jiang
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Haisheng Jiang
- Spatial Ecology Lab, School of Life Sciences, South China Normal University, Guangzhou, China
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Current Trends and Issues in Research on Biodiversity Conservation and Tourism Sustainability. SUSTAINABILITY 2022. [DOI: 10.3390/su14063342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The rationale of this article is the need to elicit the trending themes relevant to the latest research on biodiversity conservation and tourism sustainability. Hence, the purpose of this study: stocktaking of cutting-edge research articles in this field and eliciting the critical trends and issues shaping the knowledge, future research, and technical development perspectives on biodiversity conservation and tourism sustainability. The focus is on the trends, which are pivotal for achieving the UN Sustainable Development Goals until 2030. A hierarchical cluster analysis was undertaken with a KH Coder 3.0 tool to elicit topical co-occurrence networks for thematic words in academic papers from 2015 to 2020 on the topic, quarried from Google Scholar. The article’s main findings are the seven identified major trending research themes on biodiversity conservation and tourism sustainability: (1) Community-based tourism development; (2) National Park management for tourism; (3) Sustainable tourist motivation; (4) Biodiversity conservation and ecotourism; (5) Landscape and land use changes; (6) Visitor satisfaction monitoring; and (7) Ecotourism modelling. The article’s main conclusion is that the criteria and conditions for responsible low-key tourism in protected areas, both for biodiversity and local communities, are pivotal factors to consider for future research on biodiversity conservation and tourism sustainability.
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Wang C, Zhou T, Qin Y, Zhou G, Fei Y, Xu Y, Tang Z, Jiang M, Qiao X. Wuling Mountains Function as a Corridor for Woody Plant Species Exchange Between Northern and Southern Central China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.837738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
AimWuling Mountains range from the northeast to southwest in Central China, a region with high habitat complexity and diversity that supports substantial plant species diversity. Connecting the northern subtropics to the mid-subtropics, Wuling Mountains also link the floras of Eastern and South-Western China. Despite a long-standing interest in how important role Wuling Mountains play in species exchange, patterns of plant species diversity in Wuling and their underlying drivers are still not well characterized. Here, the spatial distribution of woody plant species in this region is described and the role the Wuling Mountains play in structuring biodiversity in surrounding areas is explored.LocationWuling Mountains and adjacent regions, China.MethodsDetailed distribution data for woody plant species in China were collected and mapped onto a raster grid of the Wuling Mountains and adjacent regions (a total of 820,000 km2) to analyze spatial patterns in species diversity, including α-diversity (species richness) and β-diversity (βsor). Unweighted pair-group method using arithmetic averages (UPGMA) clustering was used to divide the study region based on species composition. Canonical redundancy analysis was used to illustrate spatial patterns and species-environment relationships.ResultsMountainous areas in the study region have high species richness as compared to other areas. Species exchanges occurred at a greater rate latitudinally vs. longitudinally, especially in Wuling Mountains. This suggests that Wuling Mountains may be an important ecological corridor for woody species, linking Northern and Southern Chinese floras. The study region was divided into six bioregions based on species composition: the Wuling Mountains Region, Nanling-Xuefengshan Mountains Region, Qinling-Dabashan Mountains Region, Sichuan Basin Region, Yangtze Plain Region and Yungui Plateau Region.Main ConclusionsThe Wuling Mountains Region acts as an ecological corridor for woody species, linking Northern and Southern China, and fostering biodiversity exchange and conservation in Central China.
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Assessing the Impact of Soil on Species Diversity Estimation Based on UAV Imaging Spectroscopy in a Natural Alpine Steppe. REMOTE SENSING 2022. [DOI: 10.3390/rs14030671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Grassland species diversity monitoring is essential to grassland resource protection and utilization. “Spectral variation hypothesis” (SVH) provides a remote sensing method for monitoring grassland species diversity at pixel scale by calculating spectral heterogeneity. However, the pixel spectrum is easily affected by soil and other background factors in natural grassland. Unmanned aerial vehicle (UAV)-based imaging spectroscopy provides the possibility of soil information removal by virtue of its high spatial and spectral resolution. In this study, UAV-imaging spectroscopy data with a spatial resolution of 0.2 m obtained in two sites of typical alpine steppe within the Sanjiangyuan National Nature Reserve were used to analyze the relationships between four spectral diversity metrics (coefficient of variation based on NDVI (CVNDVI), coefficient of variation based on multiple bands (CVMulti), minimum convex hull volume (CHV) and minimum convex hull area (CHA)) and two species diversity indices (species richness and the Shannon–Wiener index). Meanwhile, two soil removal methods (based on NDVI threshold and the linear spectral unmixing model) were used to investigate the impact of soil on species diversity estimation. The results showed that the Shannon–Wiener index had a better response to spectral diversity than species richness, and CVMulti showed the best correlation with the Shannon–Wiener index between the four spectral diversity metrics after removing soil information using the linear spectral unmixing model. It indicated that the estimation ability of spectral diversity to species diversity was significantly improved after removing the soil information. Our findings demonstrated the applicability of the spectral variation hypothesis in natural grassland, and illustrated the impact of soil on species diversity estimation.
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