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Zhan C, Li B, Chen C, Wang Y. Taxonomic, phylogenetic, and functional nestedness of mammal assemblages in the Zhoushan Archipelago, China. Curr Zool 2024; 70:728-738. [PMID: 39678827 PMCID: PMC11634684 DOI: 10.1093/cz/zoae006] [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: 11/07/2023] [Accepted: 02/08/2024] [Indexed: 12/17/2024] Open
Abstract
Nestedness is an important part of the theoretical framework of island biogeography and community ecology. However, most previous studies focused on taxonomic dimension and overlooked functional and phylogenetic nestedness. Here, we simultaneously investigated taxonomic, functional, and phylogenetic nestedness of terrestrial mammals on 39 land-bridge islands in the Zhoushan Archipelago, China. As mammals' response to the environment may depend on their body size, we performed analyses for three mammal assemblages separately: overall species, large and medium-sized species, and small species. The taxonomic nestedness was quantified by organizing the species incidence matrix, while the functional and phylogenetic nestedness were estimated by combining the similarity of their ecological traits and phylogeny. Island characteristics (island area, three isolation indices, land use intensity, and habitat diversity) and species traits (body size, litter size, habitat specificity, geographic range size, and minimum area requirement) were used as predictors of nestedness. Overall and small species were significantly nested in 3 facets of nestedness, and results supported the selective extinction, selective colonization, and habitat nestedness hypotheses. Large and medium-sized species were functionally and phylogenetically nested when matrices were ordered by increasing distance to mainland, supporting the selective colonization hypothesis. Overall, differences in nestedness and its underlying mechanisms were detected not only in 3 facets of nestedness but also in the 3 mammal assemblages. Therefore, frameworks that incorporate taxonomic, phylogenetic, and functional nestedness can contribute to a more comprehensive understanding of nestedness processes. Additionally, it also improves our ability to understand the divergent responses of mammal assemblages to the insular environment.
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Affiliation(s)
- Chengxiu Zhan
- Laboratory of Island Biogeography and Conservation Biology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Bicheng Li
- Natural History Research Center, Shanghai Science and Technology Museum, Shanghai 200127, China
| | - Chuanwu Chen
- Laboratory of Island Biogeography and Conservation Biology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Yanping Wang
- Laboratory of Island Biogeography and Conservation Biology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
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Hovestadt T, Poethke HJ, Müller J, Mitesser O. Species Diversity and Habitat Fragmentation Per Se: The Influence of Local Extinctions and Species Clustering. Am Nat 2024; 203:655-667. [PMID: 38781529 DOI: 10.1086/729620] [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] [Indexed: 05/25/2024]
Abstract
AbstractAnthropogenic fragmentation of habitat is considered to be a critical factor contributing to the decline of species. However, a general consensus on the degree to which habitat loss and what has been called "habitat fragmentation per se" contribute to the loss of species diversity has not yet emerged. For empirical and theoretical reasons the topic has recently attracted renewed attention, thus reviving the "single large or several small" (SLOSS) debate. To study the effect of fragmentation per se, we use a spatially explicit and continuous, competitively neutral simulation model with immigration from a regional pool. The model accounts for the influence of ecological drift and intrafragment species clustering (due to limited dispersal) on local (plot) and global (landscape) diversity. We find that fragmentation increases global diversity but decreases local diversity, prominently so if fragments become more isolated. Cluster formation is a key mechanism reducing local diversity. By adding external disturbance events that lead to the occasional extinction of entire communities in habitat fragments, we show that the combined effect of such extinctions and cluster formation can create nonlinear interactive effects of fragmentation and fragment isolation on diversity patterns. We conclude that while in most cases fragmentation will decrease local and increase landscape diversity, universal predictions concerning the SLOSS debate should be taken with care.
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Luo G, Huang R, Guo S, Li D, Yang J, Zhang F, Yu J. Thresholds in the Species-Area-Habitat Model: Evidence from the Bryophytes on Continental Islands. PLANTS (BASEL, SWITZERLAND) 2023; 12:837. [PMID: 36840184 PMCID: PMC9962199 DOI: 10.3390/plants12040837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/10/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
AIM To clarify whether (1) there are thresholds in the species-area-habitat relationship for bryophytes and potential mechanisms, (2) such thresholds vary among different bryophyte groups, and (3) choros is better than area or habitat alone in the prediction of SR. LOCATION Islands in central and southern Zhejiang, China. METHODS We investigated the species richness (SR) of five bryophyte groups (total bryophytes, total mosses, liverworts, acrocarpous mosses, and pleurocarpous mosses) and habitat types on 66 islands. By using four threshold models, the logarithmic and the power models, we quantified their SR-choros relationships (SKRs), species-area relationships (SARs), and species-habitat relationships (SHRs). We also conducted path analyses to detect the direct effects of area per se and habitat per se on the SR. RESULTS The AICc values of the SKR models were overall smaller than those of the respective SAR and SHR models. The left-horizontal two-threshold model was best for the SKRs. A phenomenon (the small-choros effect, SCE) in which SR independently varied choros below a given threshold was detected. The SCE thresholds were smaller in mosses than in liverworts and in acrocarpous mosses than in pleurocarpous mosses. No direct and positive effects of habitat per se on the SR were detected below choros thresholds for all five groups. MAIN CONCLUSIONS There were two thresholds and SCEs in the SKRs of all five bryophyte groups. The SCEs likely resulted from the elimination of the direct and positive effects of habitat diversity on the SR of the bryophytes on small choros islands. The SCE thresholds were high for species groups sensitive to environments. Choros was better than area or habitat alone in determining the SR of the bryophytes on continental islands.
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Affiliation(s)
| | | | | | | | | | | | - Jing Yu
- Correspondence: (S.G.); (J.Y.)
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Zhao J, Li C, Wang T, Li C, Shen J, Liu Y, Wu P. Distribution Pattern of Mangrove Fish Communities in China. BIOLOGY 2022; 11:biology11121696. [PMID: 36552206 PMCID: PMC9774577 DOI: 10.3390/biology11121696] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 11/25/2022]
Abstract
Mangroves are among the most productive marine and coastal ecosystems and play an important role in maintaining the stability and diversity of fish communities. To explore the structure of mangrove fish communities in China, we compiled previous studies, monographs, and two databases on 54 mangrove areas published in the past 30 years. Mangrove fish communities in China comprised Osteichthys (597 species) and Chondrichthyes (14 species), representing 611 species in 344 genera, 117 families, and 28 orders. Perciformes were the predominant taxon, with 350 species in 52 families, accounting for 57% of the total species richness. Reef fish accounted for 29.62%. With regard to feeding groups, there were 328 carnivorous species (53.68%), 214 omnivorous species (35.02%), 41 herbivorous species (6.71%), and 28 detritivores species (4.58%). Classified by body size, 57.61% were small-sized, 24.22% medium-sized, and 18.17% were large-sized fishes. A total of 5.23% (32 species) of these mangrove fish are currently on IUCN red lists, i.e., 2 species are critically endangered, 4 are endangered, 12 are vulnerable, and 14 are near threatened. Cluster analyses shows that Chinese mangroves fish were divided into two categories, i.e., coastal mangrove and island mangrove type. This is closely related to the distribution of reef fish. Moreover, the number of fish species showed a strong positive correlation with mangrove area, but not with latitude. The main reasons may be the subtropical and tropical geographic locations, as well as the characteristics of the South China Sea and the Taiwan Warm Current. The size and integrity of mangrove area are crucial to the local ecosystems; thus, protecting and restoring mangroves is of great significance to large-scale ecosystem-stability and local biodiversity.
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Affiliation(s)
- Jinfa Zhao
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China
- Observation and Research Station of Pearl River Estuary Ecosystem, Guangdong Province, Guangzhou 510300, China
- College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China
| | - Chunhou Li
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China
- Observation and Research Station of Pearl River Estuary Ecosystem, Guangdong Province, Guangzhou 510300, China
| | - Teng Wang
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China
- Observation and Research Station of Pearl River Estuary Ecosystem, Guangdong Province, Guangzhou 510300, China
- Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya 572018, China
- Correspondence: (T.W.); (Y.L.); Tel.: +86-18929597042 (T.W.); +86-13632252885 (Y.L.)
| | - Chunran Li
- College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianzhong Shen
- College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China
| | - Yong Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China
- Observation and Research Station of Pearl River Estuary Ecosystem, Guangdong Province, Guangzhou 510300, China
- Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya 572018, China
- Correspondence: (T.W.); (Y.L.); Tel.: +86-18929597042 (T.W.); +86-13632252885 (Y.L.)
| | - Peng Wu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China
- Observation and Research Station of Pearl River Estuary Ecosystem, Guangdong Province, Guangzhou 510300, China
- Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya 572018, China
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Neto GDSF, Benchimol M, Carneiro FM, Baccaro FB. Island size predicts mammal diversity in insular environments, except for land‐bridge islands. Biotropica 2022. [DOI: 10.1111/btp.13147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
| | - Maíra Benchimol
- Laboratório de Ecologia Aplicada à Conservação Universidade Estadual de Santa Cruz Ilhéus Brazil
| | - Fernanda Melo Carneiro
- Instituto Acadêmico de Ciências da Saúde e Biológicas Universidade Estadual de Goiás (UEG), Campus Metropolitano, Unidade Goiânia‐Laranjeiras Goiânia Goias Brazil
| | - Fabricio Beggiato Baccaro
- Departamento de Biologia, Instituto de Ciências Biológicas Universidade Federal do Amazonas Manaus Brazil
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Wang R, Yang X. Nestedness theory suggests wetland fragments with large areas and macrophyte diversity benefit waterbirds. Ecol Evol 2021; 11:12651-12664. [PMID: 34594528 PMCID: PMC8462146 DOI: 10.1002/ece3.8009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 07/17/2021] [Accepted: 07/19/2021] [Indexed: 11/14/2022] Open
Abstract
Many artificial wetland constructions are currently underway worldwide to compensate for the degradation of natural wetland systems. Researchers face the responsibility of proposing wetland management and species protection strategies to ensure that constructed wetlands positively impact waterbird diversity. Nestedness is a commonly occurring pattern for biotas in fragmented habitats with important implications for conservation; however, only a few studies have focused on seasonal waterbird communities in current artificial wetlands. In this study, we used the nestedness theory for analyzing the annual and seasonal community structures of waterbirds in artificial wetlands at Lake Dianchi (China) to suggest artificial wetland management and waterbird conservation strategies. We carried out three waterbird surveys per month for one year to observe the annual, spring, summer, autumn, and winter waterbird assemblages in 27 lakeside artificial wetland fragments. We used the NeD program to quantify nestedness patterns of waterbirds at the annual and seasonal levels. We also determined Spearman partial correlations to examine the associations of nestedness rank and habitat variables to explore the factors underlying nestedness patterns. We found that annual and all four seasonal waterbird compositions were nested, and selective extinction and habitat nestedness were the main factors governing nestedness. Further, selective colonization was the key driver of nestedness in autumn and winter waterbirds. We suggest that the area of wetland fragments should be as large as possible and that habitat heterogeneity should be maximized to fulfill the conservation needs of different seasonal waterbirds. Furthermore, we suggest that future studies should focus on the least area criterion and that vegetation management of artificial wetland construction should be based on the notion of sustainable development for humans and wildlife.
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Affiliation(s)
- Rongxing Wang
- State Key Laboratory of Genetic Resources and EvolutionKunming Institute of ZoologyChinese Academy of SciencesKunmingChina
- Institute of Eastern‐Himalaya Biodiversity ResearchDali UniversityDaliChina
| | - Xiaojun Yang
- State Key Laboratory of Genetic Resources and EvolutionKunming Institute of ZoologyChinese Academy of SciencesKunmingChina
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