<scp>LandFrag</scp>: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity

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.

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Publication Details

Journal
Global Ecology and Biogeography
Published
2025-02-01
DOI
https://doi.org/10.1111/geb.70015
Citations
3
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
3.32

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article

LandFrag: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity

Shayana de Jesus, Nathália Vieira Hissa Safar, Ana Carolina Borges Lins-e-Silva, Ørjan Totland et al.
3 citations
Global Ecology and Biogeography
Land Use and Ecosystem Services
3.32
article

LandFrag: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity

Shayana de Jesus, Nathália Vieira Hissa Safar, Ana Carolina Borges Lins-e-Silva, Ørjan Totland, Enrico Bernard, Ricardo José da Silva, Marcelo Simonelli, Maurício Humberto Vancine, Marcelo A. Aizen, Arthur Ângelo Bispo, Luan Paes, Marcelo G. de Lima, Felipe P. L. Melo, John O. Stireman, Aníbal Silva Cantalice, Jean‐Marc Pons, Heraldo L. Vasconcelos, Neucir Szinwelski, Selvino Neckel‐Oliveira, Magda dos Santos Rocha, José Eugênio Côrtes Figueira, Reginaldo A. F. Gusmão, Diego G. Pádua, João Carlos Pena, Arthur Ramalho Magalhães, Renato Portela Salomão, Carlos Ernesto Gonçalves Reynaud Schaefer, Maíra Benchimol, Jonathan M. Chase, Carlos A. Peres, Marcelo Passamani, Luiz Fernando Silva Magnago, Willian Moura de Aguiar, Ralph Mac Nally, Rodolpho Credo Rodrigues, Antônia Valéria Pereira Paiva, Marcelo Tabarelli, Victor Leandro‐Silva, Juliano A. Bogoni, David N. M. Mbora, Sini Savilaakso, Noé U. de la Sancha, Rodrigo Felipe Rodrigues do Carmo, Patricia Marques do A. Oliveira, Fernando Rodrigues da Silva, Eduardo Mariano‐Neto, Gabriel X. Boldorini, Michel Varajão Garey, Raphaël K. Didham, Shiiwua A. Manu, Víctor Arroyo‐Rodríguez, Morris Mutua, Larissa Rocha‐Santos, Ezequiel González, Bruno X. Pinho, Maria Amanda Menezes Silva, Simone Aparecida Vieira, André Nemésio, Fernando Zagury Vaz‐de‐Mello, Maria Jesus Nogueira Rodal, Bruno K. C. Filgueiras, Jenny Reiniö, Márcio Uehara‐Prado, Mickaël Henry, Danielle Storck‐Tonon, André A. Nogueira, Nathan J. Sanders, Cibele Bragagnolo, Adriano Garcia Chiarello, Berry J. Brosi, Heloise Gibb, Amparo Lázaro, Nick M. Haddad, Jessie Pereira dos Santos, Deborah Faria, Anne Lene T.O. Aase, Alejandra Soto‐Werschitz, Victor Mateus Prasniewski, Carmelo Gómez Martínez, Bráulio Almeida Santos, Camila Palhares Teixeira, Thiago Gechel Kloss, Arturo Baz, Thiago Gonçalves‐Souza, Micaela Santos, Ingrid da Silva Lima, Gabriela Albuquerque Galvão, Tássia Juliana Bertotto, Eliana Cazeta, Lucas Cortinhas
article en
3 citations

Abstract

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.

Global Ecology and BiogeographyVol. 34(2)
Universidade Federal de Minas Gerais (BR), University of East Anglia (GB), DePaul University (US), University of Bern (CH), Universidad Autónoma de Tlaxcala (MX), Universidade Federal da Bahia (BR), Centre National de la Recherche Scientifique (FR), Universidade Federal de Lavras (BR), Universidade Federal de Viçosa (BR), Deakin University (AU), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Autonomous University of Queretaro (MX), École Pratique des Hautes Études (FR), University of Jos (NG), The University of Melbourne (AU), Universidade Federal da Integração Latino-Americana (BR), Universidad Nacional de Córdoba (AR), Universidade Federal da Paraíba (BR), The University of Western Australia (AU), Universidade Federal de São Carlos (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Universidad de Alcalá (ES), Universidade Estadual do Oeste do Paraná (BR), Wright State University (US), University of Washington (US), Universidade Estadual de Feira de Santana (BR), Universidade do Estado de Minas Gerais (BR), Universidade Federal do Ceará (BR), Universidade Federal de Pernambuco (BR), University of Michigan (US), Catholic University of the Maule (CL), German Centre for Integrative Biodiversity Research (DE), Field Museum of Natural History (US), Universidade do Estado de Mato Grosso (BR), Instituto Federal de Educação, Ciência e Tecnologia do Ceará (BR), Universidade Estadual de Santa Cruz (BR), Universidade Federal da Fronteira Sul (BR), Universidade Federal de Mato Grosso (BR), Universidade Federal de Santa Catarina (BR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Instituto de Ensino e Pesquisa Santa Casa (BR), Universidade Federal do Sul da Bahia (BR), Amazon Research Foundation (BR), Institut de Systématique, Évolution, Biodiversité (FR), Center for Large Landscape Conservation (US), Écologie des Forêts Méditerranéennes (FR), Mediterranean Institute for Advanced Studies (ES), CSIRO Health and Biosecurity (AU), SUPERA Park of Innovation and Technology of Ribeirão Preto (BR), Instituto Multidisciplinario de Biología Vegetal (AR), National Museums of Kenya (KE), Instituto Federal do Espírito Santo (BR), University of Bergen (NO), Nottingham Trent University (GB), Norwegian University of Life Sciences (NO), Universidade Federal Rural de Pernambuco (BR), Universidade Federal de Goiás (BR), Martin Luther University Halle-Wittenberg (DE), Whittier College (US), Universidad Nacional del Comahue (AR), Universidade de Pernambuco (BR), Universidade Federal de Uberlândia (BR), Michigan State University (US), Universidade Estadual Paulista (Unesp) (BR), Universidade Federal de São Paulo (BR), Universidad Nacional Autónoma de México (MX), Center for International Forestry Research (ID)
University of Michigan, Michigan State University, University of Washington, DePaul University, Nottingham Trent University, Universidad Nacional de Córdoba, Universidade Federal de Viçosa, Universidade do Estado de Mato Grosso, Trent University, Commonwealth Scientific and Industrial Research Organisation, Deakin University, Fundação de Amparo à Pesquisa do Estado de São Paulo, Consejo Nacional de Investigaciones Científicas y Técnicas, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Araucária, Universidad Nacional Autónoma de México, Universidade Federal de Goiás, Universidad de Alcalá, Universidade Federal de Santa Catarina, Universidade Federal de Minas Gerais, Norges Miljø- og Biovitenskapelige Universitet, Universidade Federal de Pernambuco, Universidade Estadual Paulista, Universitas Lampung, Universidade Estadual de Santa Cruz, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Directorate for Biological Sciences, College of Engineering, Michigan State University, Agencia Estatal de Investigación
Life in Land
Openalex Percentile: Top 10%
Land Use and Ecosystem Services
3.32
DOIOpen Access PDFOpenAlex
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