Thiago Gonçalves-Souza, Maurício Humberto Vancine, Nathan J. Sanders, Nick M. Haddad, Lucas Cortinhas, Anne Lene T. O. Aase, Willian Moura de Aguiar, Marcelo Adrian Aizen, Víctor Arroyo-Rodríguez, Arturo Baz, Maíra Benchimol, Enrico Bernard, Tássia Juliana Bertotto, Arthur Angelo Bispo, Juliano A. Bogoni, Gabriel X. Boldorini, Cibele Bragagnolo, Berry Brosi, Aníbal Silva Cantalice, Rodrigo Felipe Rodrigues do Carmo, Eliana Cazeta, Adriano G. Chiarello, Noé U. de la Sancha, Raphael K. Didham, Deborah Faria, Bruno Filgueiras, José Eugênio Côrtes Figueira, Gabriela Albuquerque Galvão, Michel Varajão Garey, Heloise Gibb, Carmelo Gómez-Martínez, Ezequiel González, Reginaldo Augusto Farias de Gusmão, Mickaël Henry, Shayana de Jesus, Thiago Gechel Kloss, Amparo Lázaro, Victor Leandro-Silva, Marcelo G. de Lima, Ingrid da Silva Lima, Ana Carolina B. Lins-e-Silva, Ralph Mac Nally, Arthur Ramalho Magalhães, Luiz Fernando Silva Magnago, Shiiwua Manu, Eduardo Mariano-Neto, David Nyaga Mugo Mbora, Felipe P. L. Melo, Morris Nzioka Mutua, Selvino Neckel-Oliveira, André Nemésio, André Amaral Nogueira, Patricia Marques Do A. Oliveira, Diego G. Pádua, Luan Paes, Aparecida Barbosa de Paiva, Marcelo Passamani, João Carlos Pena, Carlos A. Peres, Bruno X. Pinho, Jean-Marc Pons, Victor Mateus Prasniewski, Jenny Reiniö, Magda dos Santos Rocha, Larissa Rocha-Santos, Maria J. Rodal, Rodolpho Credo Rodrigues, Nathalia V. H. Safar, Renato P. Salomão, Bráulio A. Santos, Mirela N. Santos, Jessie Pereira dos Santos, Sini Savilaakso, Carlos Ernesto Gonçalves Reynaud Schaefer, Maria Amanda Menezes Silva, Fernando R. da Silva, Ricardo J. Silva, Marcelo Simonelli, Alejandra Soto-Werschitz, John O. Stireman III, Danielle Storck-Tonon, Neucir Szinwelski, Marcelo Tabarelli, Camila Palhares Teixeira, Ørjan Totland, Marcio Uehara-Prado, Fernando Zagury Vaz-de-Mello, Heraldo L. Vasconcelos, Simone A. Vieira, Jonathan M. Chase
{"title":"LandFrag: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity","authors":"Thiago Gonçalves-Souza, Maurício Humberto Vancine, Nathan J. Sanders, Nick M. Haddad, Lucas Cortinhas, Anne Lene T. O. Aase, Willian Moura de Aguiar, Marcelo Adrian Aizen, Víctor Arroyo-Rodríguez, Arturo Baz, Maíra Benchimol, Enrico Bernard, Tássia Juliana Bertotto, Arthur Angelo Bispo, Juliano A. Bogoni, Gabriel X. Boldorini, Cibele Bragagnolo, Berry Brosi, Aníbal Silva Cantalice, Rodrigo Felipe Rodrigues do Carmo, Eliana Cazeta, Adriano G. Chiarello, Noé U. de la Sancha, Raphael K. Didham, Deborah Faria, Bruno Filgueiras, José Eugênio Côrtes Figueira, Gabriela Albuquerque Galvão, Michel Varajão Garey, Heloise Gibb, Carmelo Gómez-Martínez, Ezequiel González, Reginaldo Augusto Farias de Gusmão, Mickaël Henry, Shayana de Jesus, Thiago Gechel Kloss, Amparo Lázaro, Victor Leandro-Silva, Marcelo G. de Lima, Ingrid da Silva Lima, Ana Carolina B. Lins-e-Silva, Ralph Mac Nally, Arthur Ramalho Magalhães, Luiz Fernando Silva Magnago, Shiiwua Manu, Eduardo Mariano-Neto, David Nyaga Mugo Mbora, Felipe P. L. Melo, Morris Nzioka Mutua, Selvino Neckel-Oliveira, André Nemésio, André Amaral Nogueira, Patricia Marques Do A. Oliveira, Diego G. Pádua, Luan Paes, Aparecida Barbosa de Paiva, Marcelo Passamani, João Carlos Pena, Carlos A. Peres, Bruno X. Pinho, Jean-Marc Pons, Victor Mateus Prasniewski, Jenny Reiniö, Magda dos Santos Rocha, Larissa Rocha-Santos, Maria J. Rodal, Rodolpho Credo Rodrigues, Nathalia V. H. Safar, Renato P. Salomão, Bráulio A. Santos, Mirela N. Santos, Jessie Pereira dos Santos, Sini Savilaakso, Carlos Ernesto Gonçalves Reynaud Schaefer, Maria Amanda Menezes Silva, Fernando R. da Silva, Ricardo J. Silva, Marcelo Simonelli, Alejandra Soto-Werschitz, John O. Stireman III, Danielle Storck-Tonon, Neucir Szinwelski, Marcelo Tabarelli, Camila Palhares Teixeira, Ørjan Totland, Marcio Uehara-Prado, Fernando Zagury Vaz-de-Mello, Heraldo L. Vasconcelos, Simone A. Vieira, Jonathan M. Chase","doi":"10.1111/geb.70015","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Motivation</h3>\n \n <p>The accelerated and widespread conversion of once continuous ecosystems into fragmented landscapes has driven ecological research to understand the response of biodiversity to local (fragment size) and landscape (forest cover and fragmentation) changes. This information has important theoretical and applied implications, but is still far from complete. We compiled the most comprehensive and updated database to investigate how these local and landscape changes determine species composition, abundance and trait diversity of multiple taxonomic groups in forest fragments across the globe.</p>\n </section>\n \n <section>\n \n <h3> Main Types of Variables Contained</h3>\n \n <p>We gathered data for 1472 forest fragments, providing information on the abundance and composition of 9154 species belonging to vertebrates, invertebrates, and plants. For 2703 of these species, we obtained more than 20 functional traits. We provided the spatial location and size of each fragment and metrics of landscape composition and configuration.</p>\n </section>\n \n <section>\n \n <h3> Spatial Location and Grain</h3>\n \n <p>The dataset includes 1472 forest fragments sampled in 121 studies from all continents except Antarctica. Most datasets (77%) are from tropical regions, 17% are from temperate regions, and 6% are from subtropical regions. Species abundance and composition were collected at the plot or fragment scale, whereas the landscape metrics were extracted with buffer size ranging from a radius of 200–2000 m.</p>\n </section>\n \n <section>\n \n <h3> Time Period and Grain</h3>\n \n <p>Data on the abundance of species and community composition were collected between 1994 and 2022, and the landscape metrics were extracted from the same year that a given study collected the abundance and composition data.</p>\n </section>\n \n <section>\n \n <h3> Major Taxa and Level of Measurement</h3>\n \n <p>The studied organisms included invertebrates (Arachnida, Insecta and Gastropoda; 41% of the datasets), vertebrates (Amphibia, Squamata, Aves and Mammalia; 44%), and vascular plants (19%), and the lowest level of identification was species or morphospecies.</p>\n </section>\n \n <section>\n \n <h3> Software Format</h3>\n \n <p>The dataset and code can be downloaded on Zenodo or GitHub.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 2","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70015","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.70015","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Motivation
The accelerated and widespread conversion of once continuous ecosystems into fragmented landscapes has driven ecological research to understand the response of biodiversity to local (fragment size) and landscape (forest cover and fragmentation) changes. This information has important theoretical and applied implications, but is still far from complete. We compiled the most comprehensive and updated database to investigate how these local and landscape changes determine species composition, abundance and trait diversity of multiple taxonomic groups in forest fragments across the globe.
Main Types of Variables Contained
We gathered data for 1472 forest fragments, providing information on the abundance and composition of 9154 species belonging to vertebrates, invertebrates, and plants. For 2703 of these species, we obtained more than 20 functional traits. We provided the spatial location and size of each fragment and metrics of landscape composition and configuration.
Spatial Location and Grain
The dataset includes 1472 forest fragments sampled in 121 studies from all continents except Antarctica. Most datasets (77%) are from tropical regions, 17% are from temperate regions, and 6% are from subtropical regions. Species abundance and composition were collected at the plot or fragment scale, whereas the landscape metrics were extracted with buffer size ranging from a radius of 200–2000 m.
Time Period and Grain
Data on the abundance of species and community composition were collected between 1994 and 2022, and the landscape metrics were extracted from the same year that a given study collected the abundance and composition data.
Major Taxa and Level of Measurement
The studied organisms included invertebrates (Arachnida, Insecta and Gastropoda; 41% of the datasets), vertebrates (Amphibia, Squamata, Aves and Mammalia; 44%), and vascular plants (19%), and the lowest level of identification was species or morphospecies.
Software Format
The dataset and code can be downloaded on Zenodo or GitHub.
期刊介绍：
Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
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