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Pan Y, Wang S, Xie C, Jim CY. Species diversity and spatial pattern of heritage trees in Taiyuan. Sci Rep 2025; 15:17584. [PMID: 40399455 PMCID: PMC12095643 DOI: 10.1038/s41598-025-99731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Accepted: 04/22/2025] [Indexed: 05/23/2025] Open
Abstract
Heritage trees are key to maintaining biodiversity, supporting ecosystem services, and preserving cultural heritage. This study investigates the species composition, spatial distribution patterns, and conservation needs of heritage trees in ancient Taiyuan city in Northern China, focusing on their cultural-ecological significance and urbanization threats. Using redundancy analysis, we surveyed 4737 heritage trees across ten urban core, suburban and rural districts and nine habitat types and calculated their importance values, species diversity indices, and statistical associations with key socio-demographic and environmental factors. The prized stock comprised 57 species, dominated by Ziziphus jujuba, Styphnolobium japonicum, accompanied by four subdominants such as Platycladus orientalis and Pinus tabuliformis, and 39 uncommon to rare species, contributing considerably to species diversity. Spatial analysis and ecological assessments found distinct distribution patterns, with suburban and rural areas accommodating higher tree abundance and species richness than more urbanized districts. Factors such as altitude, cultivated area, economic activities, and particularly urban development, strongly influenced tree distribution. We analyzed their natural-cum-cultural value and threats from fast urban expansion, habitat fragmentation and loss, and insufficient conservation efforts. The findings underscored the urgent need for targeted and reinforced conservation strategies to safeguard these heritage trees, sustaining their precious legacy for future generations.
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Affiliation(s)
- Yang Pan
- Key Laboratory of Biodiversity Conservation and Characteristic Resource Utilization in Southwest Anhui, Anqing Normal University, Anqing, 246133, China
| | - Shijie Wang
- Tropical Biodiversity and Bioresource Utilization Laboratory, Qiongtai Normal University, Haikou, 571127, China
| | - Chunping Xie
- Tropical Biodiversity and Bioresource Utilization Laboratory, Qiongtai Normal University, Haikou, 571127, China.
- Department of Social Sciences and Policy Studies, Education University of Hong Kong, Hong Kong, China.
| | - C Y Jim
- Department of Social Sciences and Policy Studies, Education University of Hong Kong, Hong Kong, China.
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2
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Feng M, Zhang J. Niche Evolution and Conservation of a Chinese Endemic Genus Sinojackia (Styracaceae). BIOLOGY 2024; 13:1085. [PMID: 39765752 PMCID: PMC11673067 DOI: 10.3390/biology13121085] [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: 11/13/2024] [Revised: 12/15/2024] [Accepted: 12/16/2024] [Indexed: 01/11/2025]
Abstract
Climate change and human activities are expected to have a profound impact on the distribution of species, especially for narrowly distributed species. Sinojackia is endemically distributed in China, and all species are listed under Chinese protected wild species. Here, we reconstructed the phylogeny and estimated the divergence time of Sinojackia based on whole plastomes, conducted the niche evolution, and predicted the potential habitat area of Sinojackia from the LGM to the future. Our results strongly supported the monophyly of Sinojackia based on whole plastomes. This genus originated in the middle Miocene and diversified since the late Miocene. The aridity index was the highest significant factor for its niche evolution, and the niche evolution rate increased slowly since its divergence. The precipitation of the warmest quarter was a main environmental variable affecting the distribution of Sinojackia in the LGM, while the human footprint is the main variable in the near-current era and 2081-2100. Compared to the current distribution of Sinojackia, the highly suitable distribution area contracted in the LGM, but expanded during 2081-2100. This study provides potential areas for the in situ conservation of Sinojackia.
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Affiliation(s)
| | - Jisi Zhang
- Liaoning Key Laboratory of Development and Utilization for Natural Products Active Molecules, Anshan Normal University, Anshan 114000, China;
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Mao J, Wang Q, Yang Y, Pan F, Zou Z, Su X, Wang Y, Liu W, Tang Y. A Treasure Trove of Urban Microbial Diversity: Community and Diversity Characteristics of Urban Ancient Ginkgo biloba Rhizosphere Microorganisms in Shanghai. J Fungi (Basel) 2024; 10:720. [PMID: 39452672 PMCID: PMC11508599 DOI: 10.3390/jof10100720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 09/26/2024] [Accepted: 10/10/2024] [Indexed: 10/26/2024] Open
Abstract
Rapid urbanization has exerted immense pressure on urban environments, severely constraining the growth of ancient trees. The growth of ancient trees is closely linked to the microbial communities in their rhizospheres, and studying their community characteristics may provide new insights into promoting the growth and rejuvenation of ancient trees. In this study, the rhizosphere soil and root systems of ancient Ginkgo biloba trees (approximately 200 years old) and adult G. biloba trees (approximately 50 years old) in Shanghai were selected as research subjects. Phospholipid fatty acid (PLFA) analysis and high-throughput sequencing were employed to investigate the diversity of microbial communities in the G. biloba rhizosphere. The results indicated that the 19 PLFA species selected to characterize the soil microbial community structure and biomass were present in the rhizosphere soil of both ancient and adult G. biloba trees. However, the total microbial biomass and the microbial biomass in the rhizosphere soil of ancient G. biloba were lower than the microbial biomass in the rhizosphere soil of adult G. biloba. The biomasses of Gram-negative bacteria (G-), arbuscular mycorrhizal fungi (AMF), and protozoans (P) were significantly different. Total phosphorus, organic matter, and pH may be the key factors influencing the soil microbial community in the rhizosphere zone of ancient G. biloba. An in-depth study of AMF showed that the roots and rhizosphere soil of G. biloba contained abundant AMF resources, which were assigned to 224 virtual taxa using the MaarjAM reference database, belonging to four orders, ten families, and nineteen genera. The first and second most dominant genera were Glomus and Paraglomus, respectively. Archaeospora and Ambispora were more dominant in the rhizosphere than the roots. Furthermore, the abundance of live AMF was significantly higher in ancient G. biloba than in adult G. biloba. Therefore, future research should focus on the improvement of soil environmental characteristics and the identification and cultivation of indigenous dominant AMF in the rhizosphere of ancient G. biloba, aiming for their effective application in the rejuvenation of ancient trees.
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Affiliation(s)
- Jieying Mao
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
- Ningbo Yongneng Biomass Energy Development Co., Ltd., Ningbo 315000, China
| | - Qiong Wang
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yaying Yang
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
- Ganzhou Vegetable and Flower Rrerarch Institute, Ganzhou 341413, China
| | - Feng Pan
- Jiangxi Academy of Water Science and Engineering, Nanchang 330029, China;
| | - Ziwei Zou
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Xiaona Su
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yi Wang
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Wei Liu
- Jiangxi Provincial Key Laboratory of Conservation Biology, Nanchang 330045, China; (J.M.); (Q.W.); (Y.Y.); (Z.Z.); (X.S.); (Y.W.)
- School of Art and Landscape, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yaohua Tang
- Shanghai Municipal Landscape Management and Guidance Station, Shanghai 200020, China
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Liu B, Yao J, Xu Y, Huang J, Ding Y, Zang R. Latitudinal variation and driving factors of above-ground carbon proportion of large trees in old-growth forests across China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170586. [PMID: 38301777 DOI: 10.1016/j.scitotenv.2024.170586] [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: 09/04/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
Large trees play a vital role in forest carbon stocks, dominating the distribution of community biomass. However, climate change and deforestation are reducing large trees globally, resulting in regional differences in their contribution to carbon stocks. Here, we examined the latitudinal change pattern and drivers of large trees' contributions to stand carbon stocks. Above-ground carbon storage was calculated for 530 plots in old-growth forests across China. Linear regression was used to calculate latitudinal variation in the proportion of above-ground carbon in large trees (i.e., AGC proportion). Variance partitioning and multiple linear regression were used to calculate the relative importance of species diversity, stand structure, functional traits, and environmental factors to AGC proportion. The study found that AGC proportion decreased with increasing latitude, averaging at 64.44 %. Stand structure, particularly the coefficient of variation of DBH, was identified as the key drivers of the AGC proportion. The number of common species (Hill's 1D) had no direct effect on the AGC proportion, while wood density, maximum tree height, and leaf nitrogen-to‑phosphorus ratio showed negative effects. The mass-ratio effects on AGC proportion were stronger than diversity effects. Climate variables primarily affected the AGC proportion through stand variables. These results indicate that simultaneously managing high diversity and AGC proportion may pose challenges. Moreover, considering the substantial contribution of large trees to carbon stocks, their storage capacity and sensitivity to environmental changes exert significant control over forest carbon cycles. Therefore, preserving and enhancing the carbon sink function of old-growth forests in the face of climate change and disturbance may depend primarily on protecting existing large trees and soon-to-be large-diameter trees.
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Affiliation(s)
- Bin Liu
- Key Laboratory of Forest Ecology and Environment 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
| | - Jie Yao
- Key Laboratory of Forest Ecology and Environment 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
| | - Yue Xu
- Key Laboratory of Forest Ecology and Environment 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
| | - Jihong Huang
- Key Laboratory of Forest Ecology and Environment 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
| | - Yi Ding
- Key Laboratory of Forest Ecology and Environment 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 Forest Ecology and Environment 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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5
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Cui J, Li X, Lu Z, Jin B. Plant secondary metabolites involved in the stress tolerance of long-lived trees. TREE PHYSIOLOGY 2024; 44:tpae002. [PMID: 38196002 DOI: 10.1093/treephys/tpae002] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/29/2023] [Indexed: 01/11/2024]
Abstract
Ancient trees are natural wonders because of their longevity, having lived for hundreds or thousands of years, and their ability to withstand changing environments and a variety of stresses. These long-lived trees have sophisticated defense mechanisms, such as the production of specialized plant metabolites (SPMs). In this review, we provide an overview of the major biotic and abiotic stresses that long-lived trees often face, as well as an analysis of renowned ancient tree species and their unique protective SPMs against environmental stressors. We also discuss the synthesis and accumulation of defensive SPMs induced by environmental factors and endophytes in these trees. Furthermore, we conducted a comparative genomic analysis of 17 long-lived tree species and discovered significant expansions of SPM biosynthesis gene families in these species. Our comprehensive review reveals the crucial role of SPMs in high resistance in long-lived trees, providing a novel natural resource for plant defense, crop improvement and even the pharmaceutical industry.
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Affiliation(s)
- Jiawen Cui
- College of Horticulture and Landscape, Yangzhou University, 48 East Wenhui Road, Yangzhou 225009, China
| | - Xiang Li
- College of Horticulture and Landscape, Yangzhou University, 48 East Wenhui Road, Yangzhou 225009, China
| | - Zhaogeng Lu
- College of Horticulture and Landscape, Yangzhou University, 48 East Wenhui Road, Yangzhou 225009, China
| | - Biao Jin
- College of Horticulture and Landscape, Yangzhou University, 48 East Wenhui Road, Yangzhou 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, 48 East Wenhui Road, Yangzhou, China
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6
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de Lima RB, Görgens EB, da Silva DAS, de Oliveira CP, Batista APB, Caraciolo Ferreira RL, Costa FRC, Ferreira de Lima RA, da Silva Aparício P, de Abreu JC, da Silva JAA, Guimaraes AF, Fearnside PM, Sousa TR, Perdiz R, Higuchi N, Berenguer E, Resende AF, Elias F, de Castilho CV, de Medeiros MB, de Matos Filho JR, Sardinha MA, Freitas MAF, da Silva JJ, da Cunha AP, Santos RM, Muelbert AE, Guedes MC, Imbrózio R, de Sousa CSC, da Silva Aparício WC, da Silva E Silva BM, Silva CA, Marimon BS, Junior BHM, Morandi PS, Storck-Tonon D, Vieira ICG, Schietti J, Coelho F, Alves de Almeida DR, Castro W, Carvalho SPC, da Silva RDSA, Silveira J, Camargo JL, Melgaço K, de Freitas LJM, Vedovato L, Benchimol M, de Oliveira de Almeida G, Prance G, da Silveira AB, Simon MF, Garcia ML, Silveira M, Vital M, Andrade MBT, Silva N, de Araújo RO, Cavalheiro L, Carpanedo R, Fernandes L, Manzatto AG, de Andrade RTG, Magnusson WE, Laurance B, Nelson BW, Peres C, Daly DC, Rodrigues D, Zopeletto AP, de Oliveira EA, Dugachard E, Barbosa FR, Santana F, do Amaral IL, Ferreira LV, Charão LS, Ferreira J, Barlow J, Blanc L, Aragão L, Sist P, de Paiva Salomão R, da Silva ASL, Laurance S, Feldpausch TR, Gardner T, Santiago W, Balee W, Laurance WF, Malhi Y, Phillips OL, da Silva Zanzini AC, Rosa C, Tadeu Oliveira W, Pereira Zanzini L, José Silva R, et alde Lima RB, Görgens EB, da Silva DAS, de Oliveira CP, Batista APB, Caraciolo Ferreira RL, Costa FRC, Ferreira de Lima RA, da Silva Aparício P, de Abreu JC, da Silva JAA, Guimaraes AF, Fearnside PM, Sousa TR, Perdiz R, Higuchi N, Berenguer E, Resende AF, Elias F, de Castilho CV, de Medeiros MB, de Matos Filho JR, Sardinha MA, Freitas MAF, da Silva JJ, da Cunha AP, Santos RM, Muelbert AE, Guedes MC, Imbrózio R, de Sousa CSC, da Silva Aparício WC, da Silva E Silva BM, Silva CA, Marimon BS, Junior BHM, Morandi PS, Storck-Tonon D, Vieira ICG, Schietti J, Coelho F, Alves de Almeida DR, Castro W, Carvalho SPC, da Silva RDSA, Silveira J, Camargo JL, Melgaço K, de Freitas LJM, Vedovato L, Benchimol M, de Oliveira de Almeida G, Prance G, da Silveira AB, Simon MF, Garcia ML, Silveira M, Vital M, Andrade MBT, Silva N, de Araújo RO, Cavalheiro L, Carpanedo R, Fernandes L, Manzatto AG, de Andrade RTG, Magnusson WE, Laurance B, Nelson BW, Peres C, Daly DC, Rodrigues D, Zopeletto AP, de Oliveira EA, Dugachard E, Barbosa FR, Santana F, do Amaral IL, Ferreira LV, Charão LS, Ferreira J, Barlow J, Blanc L, Aragão L, Sist P, de Paiva Salomão R, da Silva ASL, Laurance S, Feldpausch TR, Gardner T, Santiago W, Balee W, Laurance WF, Malhi Y, Phillips OL, da Silva Zanzini AC, Rosa C, Tadeu Oliveira W, Pereira Zanzini L, José Silva R, Mangabeira Albernaz AL. Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? GLOBAL CHANGE BIOLOGY 2023; 29:4861-4879. [PMID: 37386918 DOI: 10.1111/gcb.16821] [Show More Authors] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 04/13/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023]
Abstract
For more than three decades, major efforts in sampling and analyzing tree diversity in South America have focused almost exclusively on trees with stems of at least 10 and 2.5 cm diameter, showing highest species diversity in the wetter western and northern Amazon forests. By contrast, little attention has been paid to patterns and drivers of diversity in the largest canopy and emergent trees, which is surprising given these have dominant ecological functions. Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon. The diversity of large trees and of all trees was significantly associated with three environmental factors, but in contrasting ways across regions and forest types. Environmental variables associated with disturbances, for example, the lightning flash rate and wind speed, as well as the fraction of photosynthetically active radiation, tend to govern the diversity of large trees. Upland rainforests in the Guiana Shield and Roraima regions had a high diversity of large trees. By contrast, variables associated with resources tend to govern tree diversity in general. Places such as the province of Imeri and the northern portion of the province of Madeira stand out for their high diversity of species in general. Climatic and topographic stability and functional adaptation mechanisms promote ideal conditions for species diversity. Finally, we mapped general patterns of tree species diversity in the Brazilian Amazon, which differ substantially depending on size class.
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Affiliation(s)
| | - Eric Bastos Görgens
- Departamento de Engenharia Florestal, Universidade Federal do Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | | | | | | | - Rinaldo L Caraciolo Ferreira
- Laboratório de Manejo de Florestas Naturais "José Serafim Feitoza Ferraz", Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife, Brazil
| | - Flavia R C Costa
- Coordenação de Pesquisas em Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil
| | | | | | | | - José Antônio Aleixo da Silva
- Laboratório de Manejo de Florestas Naturais "José Serafim Feitoza Ferraz", Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife, Brazil
| | - Aretha Franklin Guimaraes
- Programa de Pós-Graduação em Botânica Aplicada, Departamento de Biologia, Universidade Federal de Lavras, Lavras, Brazil
| | - Philip M Fearnside
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | - Thaiane R Sousa
- Programa de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil
| | - Ricardo Perdiz
- Programa de Pós-Graduação em Botânica, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil
| | - Niro Higuchi
- Instituto Nacional de Pesquisas da Amazônia-Coordenação de Pesquisas em Silvicultura Tropical, Manaus, Brazil
| | - Erika Berenguer
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | | | - Fernando Elias
- Programa de Pós-Graduação em Ecologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | | | | | | | - Maurício Alves Sardinha
- Programa de Pós-Graduação em Biodiversidade e Biotecnologia-Rede Bionorte, Universidade Federal do Amapá, Macapá, Brazil
| | | | - José Jussian da Silva
- Instituto Federal de Educação Ciência e Tecnologia do Amapá, Laranjal do Jari, Brazil
| | | | - Renan Mendes Santos
- Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá, Brazil
| | | | | | - Reinaldo Imbrózio
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | | | | | | | | | - Beatriz Schwantes Marimon
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Ben Hur Marimon Junior
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Paulo S Morandi
- Universidade do Estado de Mato Grosso, Campus de Nova Xavantina, Nova Xavantina, Brazil
| | - Danielle Storck-Tonon
- Programa de Pós-Graduação em Ambiente e Sistemas de Produção Agrícola, Universidade do Estado de Mato Grosso, Tangará da Serra, Brazil
| | | | - Juliana Schietti
- Departamento de Biologia, Universidade Federal do Amazonas, Manaus, Brazil
| | - Fernanda Coelho
- Department of Forestry, University of Brasilia, Brasilia, Brazil
| | - Danilo R Alves de Almeida
- Department of Forest Sciences, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP/ESALQ), Piracicaba, Brazil
| | - Wendeson Castro
- Laboratório de Botânica e Ecologia Vegetal, Universidade Federal do Acre, Rio Branco, Brazil
| | | | | | - Juliana Silveira
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | | | | | | | | | - Maíra Benchimol
- Laboratório de Ecologia Aplicada à Conservação, Universidade Estadual de Santa Cruz, Salobrinho, Brazil
| | | | | | | | - Marcelo Fragomeni Simon
- Programa de Pós-Graduação em Ecologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | | | - Marcos Silveira
- Museu Universitário, Universidade Federal do Acre, Rio Branco, Brazil
| | - Marcos Vital
- Universidade Federal de Roraima (UFRR), Boa Vista, Brazil
| | - Maryane B T Andrade
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | | | | | | | - Rainiellen Carpanedo
- Universidade Federal de Mato Grosso (UFMT), Núcleo de Estudos da Biodiversidade da Amazônia Mato-grossense, Sinop, Brazil
| | | | | | | | - William E Magnusson
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | - Bill Laurance
- James Cook University, Douglas, Queensland, Australia
| | - Bruce Walker Nelson
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | | | - Douglas C Daly
- Institute of Systematic Botany, The New York Botanical Garden, Bronx, New York, USA
| | - Domingos Rodrigues
- Universidade Federal de Mato Grosso, Instituto de Ciências Naturais, Humanas e Sociais, Sinop, Brazil
| | | | | | | | | | - Flavia Santana
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | - Iêda Leão do Amaral
- Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, Manaus, Brazil
| | | | - Leandro S Charão
- Facultad de Ingeniería y Ciencias, Universidad Autónoma de Tamaulipas, Victoria, Mexico
| | - Joice Ferreira
- Embrapa Amazônia Oriental, Rede Amazônia Sustentável, Belém, Brazil
| | - Jos Barlow
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Lilian Blanc
- Unité Propre de Recherche Biens et Services des Écosystèmes Forestiers Tropicaux: l'Enjeu du Changement Global (BSEF), CIRAD, Montpellier, France
| | - Luiz Aragão
- National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Plinio Sist
- Centre de Coopération International en Recherche Agronomique pour le Développement (CIRAD), Paris, France
| | | | | | - Susan Laurance
- Centre for Tropical Environmental and Sustainability Science (TESS), College of Marine and Environmental Sciences, James Cook University, Douglas, Queensland, Australia
| | | | - Toby Gardner
- Stockholm Environment Institute, Stockholm, Sweden
| | | | | | - William F Laurance
- Centre for Tropical Environmental and Sustainability Science (TESS), College of Marine and Environmental Sciences, James Cook University, Douglas, Queensland, Australia
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | | | - Antônio Carlos da Silva Zanzini
- Setor de Ecologia e Manejo da Vida Silvestre, Departamento de Ciências Florestais, Universidade Federal de Lavras, Lavras, MG, Brazil
| | - Clarissa Rosa
- Coordenação de Pesquisas em Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil
| | - Wagner Tadeu Oliveira
- CESAM - Centro de Estudos do Ambiente e do Mar, Departamento de Biologia, Collaborating Researcher, University of Aveiro, Aveiro, Portugal
| | - Lucas Pereira Zanzini
- Departamento de Engenharia Florestal, Universidade do Estado de Mato Grosso, Cáceres, MT, Brazil
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7
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Huang L, Jin C, Pan Y, Zhou L, Hu S, Guo Y, Meng Y, Song K, Pang M, Li H, Lin D, Xu X, Minor J, Coggins C, Jim CY, Yan E, Yang Y, Tang Z, Lindenmayer DB. Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes. NATURE PLANTS 2023; 9:898-907. [PMID: 37169855 DOI: 10.1038/s41477-023-01412-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 04/10/2023] [Indexed: 05/13/2023]
Abstract
Old trees have many ecological and socio-cultural values. However, knowledge of the factors influencing their long-term persistence in human-dominated landscapes is limited. Here, using an extensive database (nearly 1.8 million individual old trees belonging to 1,580 species) from China, we identified which species were most likely to persist as old trees in human-dominated landscapes and where they were most likely to occur. We found that species with greater potential height, smaller leaf size and diverse human utilization attributes had the highest probability of long-term persistence. The persistence probabilities of human-associated species (taxa with diverse human utilization attributes) were relatively high in intensively cultivated areas. Conversely, the persistence probabilities of spontaneous species (taxa with no human utilization attributes and which are not cultivated) were relatively high in mountainous areas or regions inhabited by ethnic minorities. The distinctly different geographic patterns of persistence probabilities of the two groups of species were related to their dissimilar responses to heterogeneous human activities and site conditions. A small number of human-associated species dominated the current cohort of old trees, while most spontaneous species were rare and endemic. Our study revealed the potential impacts of human activities on the long-term persistence of trees and the associated shifts in species composition in human-dominated landscapes.
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Affiliation(s)
- Li Huang
- Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Cheng Jin
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Yingji Pan
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Lihua Zhou
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Siwei Hu
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Yanpei Guo
- Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China
| | - Yuanyuan Meng
- Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China
| | - Kun Song
- Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai, China
| | - Mingyue Pang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Hong Li
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Dunmei Lin
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China
| | - Xiaoting Xu
- Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Jesse Minor
- Department of Geography and Environmental Planning, University of Maine at Farmington, Farmington, ME, USA
| | - Chris Coggins
- Faculty in Geography and Asian Studies, Bard College at Simon's Rock, Great Barrington, MA, USA
| | - C Y Jim
- Department of Social Sciences, Education University of Hong Kong, Tai Po, China
| | - Enrong Yan
- Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai, China
| | - Yongchuan Yang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
| | - Zhiyao Tang
- Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China.
| | - David B Lindenmayer
- Fenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia.
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Williams JL, Lindenmayer D, Mifsud B. The largest trees in Australia. AUSTRAL ECOL 2023. [DOI: 10.1111/aec.13292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- Jessica L. Williams
- Fenner School of Environment and Society The Australian National University Canberra Australian Capital Territory Australia
| | - David Lindenmayer
- Fenner School of Environment and Society The Australian National University Canberra Australian Capital Territory Australia
| | - Brett Mifsud
- Fenner School of Environment and Society The Australian National University Canberra Australian Capital Territory Australia
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9
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Xie C, Li M, Jim CY, Liu D. Environmental Factors Driving the Spatial Distribution Pattern of Venerable Trees in Sichuan Province, China. PLANTS (BASEL, SWITZERLAND) 2022; 11:3581. [PMID: 36559693 PMCID: PMC9780929 DOI: 10.3390/plants11243581] [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: 11/22/2022] [Revised: 12/03/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Venerable trees are important natural resources and cultural heritage, offering historical, ecological, social and economic value. However, global warming and anthropogenic activities have threatened their welfare and survival. A comprehensive understanding of their current and future spatial patterns, vis-á-vis environmental conditions, can inform the co-management of sustainable resource use and conservation. We employed the existing spatial occurrence data and environmental variables (bioclimate and elevation) to simulate the optimal habitats for venerable trees in China's Sichuan Province. We evaluated the current and future climate scenarios of 2100 with double CO2 concentration. The BIOCLIM and QGIS spatial analyses assessed the primary factors of geographical distribution. The results identified 10,720 venerable trees from 123 species, 81 genera and 42 families. Cupressus funebris dominated, with the maximum importance value, followed by Ginkgo biloba, Ficus virens var. sublanceolata, and Phoebe zhennan. The elevation distribution of tree abundance and species richness demonstrated a unimodal pattern, skewing to the low-elevation end, with a concentration in the 600-1500 m low-medium altitude. The majority of trees and excellent habitats were found in eastern Sichuan with a less harsh terrain and climate. The bio3 (isothermality) and bio7 (temperature annual range) factors significantly influenced tree occurrence. Temperature imposed a greater effect on distribution than moisture under the current climate scenario. For the future climate-change scenario, the suitable habitats were predicted to maintain an overall stable pattern, with largely contiguous expansions of better habitats. However, climate warming would shrink the excellent habitats on the plains. The findings can inform strategies and guidelines for venerable-tree conservation in Sichuan. Furthermore, vulnerable areas could be identified. The future range expansion sites could be enlisted to cultivate new trees to replenish the venerable-tree pool. Habitat patches that remain sustainable could provide refugia with the potential for protected-area designation.
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Affiliation(s)
- Chunping Xie
- College of Sciences, Qiongtai Normal University, Haikou 571127, China
| | - Meng Li
- Co-Innovation Center for the Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - C. Y. Jim
- Department of Social Sciences, Education University of Hong Kong, Hong Kong 999077, China
| | - Dawei Liu
- Nanjing Forest Police College, Nanjing 210023, China
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Tian Y, Liu F, Jim CY, Wang T, Luan J, Yan M. Effects of Self-Rated Health Status on Residents' Social-Benefit Perceptions of Urban Green Space. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10134. [PMID: 36011772 PMCID: PMC9408625 DOI: 10.3390/ijerph191610134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Urban green spaces (UGS) provide many social benefits and improves residents' wellbeing. Studying residents' perceptions of UGS's social benefits and driving factors could promote public health and environmental justice. A questionnaire survey of 432 Beijing residents and statistical tests assessed the impacts of residents' living environments and self-rated health status on UGS perceptions. The results showed: (1) perceptions of UGS' physical health benefits were subdued, with an inclination towards other social benefits. Respondents more highly perceived accelerating patient recovery and reducing morbidity and mortality rates. Perceptions of bearing larger-head babies with higher weight were relatively low. For other social benefits, perceptions of improving the environment and life quality were higher, but reducing anger outbursts and resolving conflicts were lower. (2) Childhood living environments did not affect perceptions of social benefits, but current living environments did. Suburb residents understood reducing pain-relief medication demands and bearing larger-head babies better than city residents. City residents understood UGS' investments considerable and sustained returns better than village residents. City residents agreed with accelerating patient recovery higher than village ones. (3) Respondents with "poor" self-rated health status had better perceptions of other social benefits. Those with "excellent" ratings did not fully understand UGS' physical health benefits. "Poor" ratings understood improving a city's image and making cities livable and sustainable better than "good" or "fair" ratings. "Excellent" ratings had less understanding of larger-head babies than "good" or "fair" ratings. The study could enhance appreciation of UGS' social benefits to facilitate planning and management to meet residents' expectations.
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Affiliation(s)
- Yuhong Tian
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Fenghua Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Chi Yung Jim
- Department of Social Sciences, Education University of Hong Kong, Tai Po, Hong Kong, China
| | - Tiantian Wang
- School of Environment and Nature Resources, Renmin University of China, Beijing 100872, China
| | - Jingya Luan
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Mengxuan Yan
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
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11
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Spatial Distribution and Driving Factors of Old and Notable Trees in a Fast-Developing City, Northeast China. SUSTAINABILITY 2022. [DOI: 10.3390/su14137937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
As a symbol of urban civilization and history, old and notable trees (ONTs) are facing challenges brought by rapid urbanization. Changchun is the fastest growing city in Northeast China, and throughout its development process of over 100 years it has preserved many ONTs. This study investigated all the ONTs in Changchun, and analyzed the species diversity, spatial distribution characteristics, dimension, age, and health status of trees by using ecological index and mathematical statistics, and trying to find out the underlying factors regulating their distribution. The results showed that there were 773 old trees belonging to 25 species and 2 notable trees from 1 species in Changchun. Pyrus ussuriensis was the dominant species, followed by Salix matsudana and Ulmus pumila. The urban area, population density, greening rate, and construction history did not influence the species and quantity of ONTs, while the types of land use and tree protection planning were important factors affecting the richness, diversity, and growth conditions of trees. To explore the potential reasons for their existence, the ONTs’ data in Changchun was compared with two nearby cities—Harbin and Shenyang. The comparison indicated that the geographical location and climatic conditions also controlled the distribution of ONTs. The number and dimensions of trees were driven by the history and development process of the city. Our findings suggested that preserving favorable living environments and maintaining a low intensity of human disturbance are critical factors for the survival of ONTs in cities.
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12
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Old Sacred Trees as Memories of the Cultural Landscapes of Southern Benin (West Africa). LAND 2022. [DOI: 10.3390/land11040478] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Large old trees (LOTs) are emblematic elements of the cultural landscape and can live for hundreds of years. They represent an intermediate aspect of cultural heritage, linking spirits and humans. They can also provide a range of ecosystem services. In spite of their importance, declining numbers have been reported. This study examined the diversity of LOTs and the impact of anthropogenic threats on their preservation in three districts of southern Benin: Ketou and Abomey, which represent historical districts with royal courts, and Lokossa, which does not have a tradition as a dynastic seat. Semi-structured interviews focused on ethnobotanical aspects and storytelling were conducted with a total of 150 community leaders and traditional practitioners; these were coupled with an inventory of LOTs to demonstrate their importance in maintaining the heritage and providing ecosystem services in cultural landscapes. Diversity, cultural importance, and ethnobotanical indices were calculated to compare positive and negative attitudes towards LOTs by the local people of the study areas. A total of 270 LOT individuals belonging to 14 species were recorded. The most common species was Adansonia digitata (70 individuals), followed by Milicia excelsa (47 individuals), Ceiba pentandra (37 individuals), and Blighia sapida (25 individuals). Sacred forests and the royal palaces (ten for Abomey and three for Kétou), which are protected by a traditional veto, had the highest number of LOTs (145 individuals) belonging to nine species. Details of 79 specific uses were documented for each plant part of LOTs. The most frequently reported were related to medicinal (80.64%), cultic (16.65%), and craft uses (2.6%). Based on a standard area of 100 km2, mean Shannon diversity (H’) and evenness (J) were lower in the cultural landscape of Ketou (H′ = 0.26 ± 0.42; J = 0.23 ± 0.37) compared to Lokossa (H′ = 0.27 ± 0.32; J = 0.21 ± 0.24) and Abomey (H′ = 0.42 ± 0.37; J = 0.35 ± 0.31). The threat patterns suggest that, irrespective of the species involved, certain determining factors (urbanization (35%), the timber trade (18%), and decisions made during the Marxist–Leninist revolution in Benin in 1972 (11%)) have affected and continue to affect LOT abundance and diversity. For better management of LOTs, there is a need to promote decision-making strategies that better align human cultural values and ecological objectives.
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Liu J, Xia S, Zeng D, Liu C, Li Y, Yang W, Yang B, Zhang J, Slik F, Lindenmayer DB. Age and spatial distribution of the world's oldest trees. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36. [PMID: 35288993 DOI: 10.1111/cobi.13907] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 02/12/2022] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
Extremely old trees have important roles in providing insights about historical climatic events and supporting cultural values. Yet there has been limited work on the global distribution and conservation of these trees. We extracted information on 197,855 tree cores at 4,854 sites, and combined it with other tree age data from a further 156 sites, to determine the age of the world's oldest trees and quantify the factors influencing their global distribution. We found that extremely old trees >1,000 years are rare. Among 30 individual trees that exceeded 2,000 years old, 27 occurred in high mountains. Our model suggests that many of the existing oldest trees occur in high-elevation, cold and arid mountains with limited human disturbance. This pattern is markedly different from that of the tallest trees, which are more likely to occur in more mesic and productive locations. Global warming and expansion of human activities may induce rapid population declines of extremely old trees. New strategies, including targeted establishment of conservation reserves in remote regions, especially those in western Table 1 parts of China and USA, are required to protect these trees. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jiajia Liu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, China
| | - Shangwen Xia
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
| | - Di Zeng
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Cong Liu
- Department of Organismic and Evolutional Biology, Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA, 02138, USA
| | - Yingjun Li
- Research Centre for Scientific Development in Fenhe River Valley, Taiyuan Normal University, Jinzhong, China
| | - Wenjing Yang
- Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China
| | - Bao Yang
- Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- CAS Centre for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, 100101, China
- Qinghai Research Centre of Qilian Mountain National Park, Academy of Plateau Science and Sustainability and Qinghai Normal University, Xining, 810008, China
| | - Jian Zhang
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China
| | - Ferry Slik
- Environmental and Life Sciences Department, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
| | - David B Lindenmayer
- Fenner School of Environment and Society, The Australian National University, Canberra, Australia
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14
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15
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Mölder A, Schmidt M, Plieninger T, Meyer P. Habitat-tree protection concepts over 200 years. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2020; 34:1444-1451. [PMID: 32281122 DOI: 10.1111/cobi.13511] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/20/2020] [Accepted: 04/03/2020] [Indexed: 06/11/2023]
Abstract
The protection and sustainable management of habitat trees is an integral part of modern forest nature conservation concepts such as retention forestry. Bats, cavity-nesting birds, arboreal marsupials, and many different saproxylic species depend on habitat trees and their great variety of microhabitats and old-growth characteristics. With a focus on insights from temperate forests, we traced the development of habitat-tree protection over 200 years. The idea was first conceptualized by foresters and natural scientists in the early 19th century. At that time, utilitarian conservation aimed to protect cavity trees that provided roosts and nesting holes for insectivorous bats and birds. By the second half of the 19th century, habitat-tree protection was well known to foresters and was occasionally implemented. Knowledge of the protection of large old trees, a special kind of habitat tree, for sociocultural and aesthetic reasons developed similarly. But, many foresters of that time and in the following decades fundamentally rejected protection of habitat trees for economic reasons. Beginning in the 1970s, forest conservation and integrative forest management became increasingly important issues worldwide. Since then, the protection of habitat trees has been implemented on a large scale. Long-term views on the development of conservation concepts are important to inform the implementation of conservation today. In particular, historical analyses of conservation concepts allow the testing of long-term conservation outcomes and make it possible to study the resilience of conservation approaches to changing social or ecological conditions. We encourage all conservation ecologists to assess the practical and conceptual impact of the initial ideas that led to modern conservation concepts in terms of long-term biodiversity conservation.
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Affiliation(s)
- Andreas Mölder
- Department of Forest Nature Conservation, Northwest German Forest Research Institute (NW-FVA), Hann. Münden, Germany
| | - Marcus Schmidt
- Department of Forest Nature Conservation, Northwest German Forest Research Institute (NW-FVA), Hann. Münden, Germany
| | - Tobias Plieninger
- Chair for Social-Ecological Interactions in Agricultural Systems, Georg-August University of Göttingen, Göttingen, Germany
| | - Peter Meyer
- Department of Forest Nature Conservation, Northwest German Forest Research Institute (NW-FVA), Hann. Münden, Germany
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Chi X, Yang G, Sun K, Li X, Wang T, Zhang A, Li Y, Cheng M, Wang Q. Old ginkgo trees in China:Distribution, determinants and implications for conservation. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Liu J, Jiang RY, Zhang GF. Number and distribution of large old ginkgos in east China: Implications for regional conservation. NATURE CONSERVATION 2020. [DOI: 10.3897/natureconservation.42.59284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Large old ginkgos (LOGs), having important ecological, cultural and historical values, are widely distributed in China. However, little is known regarding their quantity and tree-habitat quality in the mesoscale distribution. Here, the quantity, spatial distribution and conservation status of Ginkgo biloba L. older than 100 years in Jiangsu Province, east China were examined using ArcGIS software and detrended correspondence analysis (DCA). Based on our collated data, Jiangsu Province included 2,123 LOG individuals and 237 LOG groves and both mostly occurred in southern and central Jiangsu. Most LOGs grew well and were distributed in villages, temples and government institutions. Ginkgos’ growth status was largely associated with tree-habitat types. LOGs performed worse in commercial areas, roadsides and residential districts than in other tree-habitat types. To protect these ginkgos, dynamic monitoring and strengthening of scientific management are required, especially for tree-habitats in the process of urban planning and construction. It is also necessary to improve the relationship between religious culture and conservation measures. This is the first study examining LOGs in Jiangsu Province using a unified standard and our findings provide a baseline for future studies and insights into the regional conservation of LOGs.
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Griffiths SR, Semmens K, Watson SJ, Jones CS. Installing chainsaw‐carved hollows in medium‐sized live trees increases rates of visitation by hollow‐dependent fauna. Restor Ecol 2020. [DOI: 10.1111/rec.13191] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Stephen R. Griffiths
- Department of Ecology, Environment and Evolution La Trobe University Bundoora 3086 Victoria Australia
| | - Kristin Semmens
- Department of Ecology, Environment and Evolution La Trobe University Bundoora 3086 Victoria Australia
| | - Simon J. Watson
- Department of Ecology, Environment and Evolution La Trobe University Bundoora 3086 Victoria Australia
- Policy and Planning Division, Department of Environment, Land, Water and Planning East Melbourne 3002 Victoria Australia
| | - Christopher S. Jones
- Department of Environment, Land, Water and Planning Arthur Rylah Institute for Environmental Research Heidelberg 3084 Victoria Australia
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Abstract
Large-diameter trees have mainly been used for timber production in forestry practices. Recently, their critical roles played in biodiversity conservation and maintenance of ecosystem functions have been recognized. However, current forestry policy on the management of large-diameter trees is weak. As China is the biggest consumer of large-diameter timbers, how to maintain sustainable large-diameter timber resources as well as maximize ecological functions of the forests is a critical question to address. Here we summarize historical uses, distribution patterns, and management strategies of large-diameter trees in China. We found that large-diameter trees are mainly distributed in old-growth forests. Although China’s forest cover has increased rapidly in the past decades, large-diameter trees are rarely found in plantation forests and secondary forests. We suggest that knowledge of large-diameter trees should be widely disseminated in local forestry departments, especially their irreplaceable value in terms of biodiversity conservation and ecosystem functions. Protection of large-diameter trees, especially those in old-growth forests, is critical for sustainable forestry. To meet the increasing demand of large-diameter timbers, plantation forests and secondary forests should apply forest density management with thinning to cultivate more large-diameter trees.
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卢 威. Discussion on the Protection, Management and Development of Ancient and Famous Trees in China—Taking the Ancient and Famous Trees in the Main District of Taizhou, Zhejiang as an Example. INTERNATIONAL JOURNAL OF ECOLOGY 2020. [DOI: 10.12677/ije.2020.91007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Dong Y, Wu N, Li F, Chen X, Zhang D, Zhang Y, Huang L, Wu B, Lu H. Influence of monsoonal water-energy dynamics on terrestrial mollusk species-diversity gradients in northern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 676:206-214. [PMID: 31048152 DOI: 10.1016/j.scitotenv.2019.04.292] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 04/16/2019] [Accepted: 04/19/2019] [Indexed: 06/09/2023]
Abstract
Climate-related factors (e.g. environmental energy, water availability and climatic seasonality/variability) and habitat heterogeneity have long been considered as the main drivers of species diversity on a broad spatial scale. However, it is controversial whether the above environmental factors can explain observed diversity patterns in varied communities such as invertebrate taxonomic group, especially mollusks. Moreover, there are until now few systematic assessments of the relative roles of different factors in determining the patterns of mollusk species diversity in monsoon-dominated regions. Here, we depict variations in terrestrial mollusk diversity based on a dataset comprising 282 assemblages collected from surface soils along an ~800-km climatic gradient from subtropical to warm temperate and mid-temperate regions in northern China. The results show that mollusk species diversity increases significantly from ~3-4 species to ~17-19 species when annual temperature and precipitation increase up to ~12 °C and ~700 mm, respectively; however, at or above these values the rate of increase is reduced. These indicate that the relationships between mollusk species diversity and climatic factors are nonlinear. Statistical analysis suggests that water availability (relative humidity) and temperature seasonality (January temperature and annual temperature range) dominate the observed pattern of mollusk species diversity. Moreover, habitat factors such as vegetation condition and soil types were also important in determining mollusk species diversity. They may be an indirect reflection of the effects of monsoonal water-energy dynamic on mollusk communities. Our results suggest that more attention should be paid to water availability and temperature seasonality in predicting future biodiversity changes, especially in the environmentally stressed northwestern part of the East Asian monsoon region.
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Affiliation(s)
- Yajie Dong
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.
| | - Naiqin Wu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Fengjiang Li
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China
| | - Xiaoyun Chen
- Geological Museum of China, Beijing 100034, China
| | - Dan Zhang
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yueting Zhang
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Linpei Huang
- Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Change, School of Tourism and Geography, Yunnan Normal University, Kunming 650500, China
| | - Bin Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Houyuan Lu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing 100101, China
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