TY - JOUR
T1 - LandFrag
T2 - A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity
AU - Goncalves-Souza, Thiago
AU - Vancine, Mauricio Humberto
AU - Sanders, Nathan J.
AU - Haddad, Nick M.
AU - Cortinhas, Lucas
AU - Aase, Anne Lene T. O.
AU - de Aguiar, Willian Moura
AU - Aizen, Marcelo Adrian
AU - Arroyo-Rodriguez, Victor
AU - Baz, Arturo
AU - Benchimol, Maira
AU - Bernard, Enrico
AU - Bertotto, Tassia Juliana
AU - Bispo, Arthur Angelo
AU - Bogoni, Juliano A.
AU - Boldorini, Gabriel X.
AU - Bragagnolo, Cibele
AU - Brosi, Berry
AU - Cantalice, Anibal Silva
AU - do Carmo, Rodrigo Felipe Rodrigues
AU - Cazeta, Eliana
AU - Chiarello, Adriano G.
AU - de la Sancha, Noe U.
AU - Didham, Raphael K.
AU - Faria, Deborah
AU - Filgueiras, Bruno
AU - Figueira, Jose Eugenio Cortes
AU - Galvao, Gabriela Albuquerque
AU - Garey, Michel Varajao
AU - Gibb, Heloise
AU - Gomez-Martinez, Carmelo
AU - Gonzalez, Ezequiel
AU - de Gusmao, Reginaldo Augusto Farias
AU - Henry, Mickael
AU - de Jesus, Shayana
AU - Kloss, Thiago Gechel
AU - Lazaro, Amparo
AU - Leandro-Silva, Victor
AU - de Lima, Marcelo G.
AU - Lima, Ingrid da Silva
AU - Lins-e-Silva, Ana Carolina B.
AU - Mac Nally, Ralph
AU - Magalhaes, Arthur Ramalho
AU - Magnago, Luiz Fernando Silva
AU - Manu, Shiiwua
AU - Mariano-Neto, Eduardo
AU - Mbora, David Nyaga Mugo
AU - Melo, Felipe P. L.
AU - Mutua, Morris Nzioka
AU - Neckel-Oliveira, Selvino
AU - Nemesio, Andre
AU - Nogueira, Andre Amaral
AU - Oliveira, Patricia Marques Do A.
AU - Padua, Diego G.
AU - Paes, Luan
AU - de Paiva, Aparecida Barbosa
AU - Passamani, Marcelo
AU - Pena, Joao Carlos
AU - Peres, Carlos A.
AU - Pinho, Bruno X.
AU - Pons, Jean-Marc
AU - Prasniewski, Victor Mateus
AU - Reinio, Jenny
AU - Rocha, Magda dos Santos
AU - Rocha-Santos, Larissa
AU - Rodal, Maria J.
AU - Rodrigues, Rodolpho Credo
AU - Safar, Nathalia V. H.
AU - Salomao, Renato P.
AU - Santos, Braulio A.
AU - Santos, Mirela N.
AU - dos Santos, Jessie Pereira
AU - Savilaakso, Sini
AU - Schaefer, Carlos Ernesto Goncalves Reynaud
AU - Silva, Maria Amanda Menezes
AU - da Silva, Fernando R.
AU - Silva, Ricardo J.
AU - Simonelli, Marcelo
AU - Soto-Werschitz, Alejandra
AU - Stireman III, John O.
AU - Storck-Tonon, Danielle
AU - Szinwelski, Neucir
AU - Tabarelli, Marcelo
AU - Teixeira, Camila Palhares
AU - Totland, Orjan
AU - Uehara-Prado, Marcio
AU - Vaz-de-Mello, Fernando Zagury
AU - Vasconcelos, Heraldo L.
AU - Vieira, Simone A.
AU - Chase, Jonathan M.
PY - 2025/2
Y1 - 2025/2
N2 - MotivationThe 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 ContainedWe 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 GrainThe 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 GrainData 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 MeasurementThe 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 FormatThe dataset and code can be downloaded on Zenodo or GitHub.
AB - MotivationThe 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 ContainedWe 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 GrainThe 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 GrainData 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 MeasurementThe 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 FormatThe dataset and code can be downloaded on Zenodo or GitHub.
KW - Biodiversity conservation
KW - Biodiversity loss
KW - Functional traits
KW - Habitat fragmentation
KW - Habitat loss
KW - Landscape metrics
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=uwapure5-25&SrcAuth=WosAPI&KeyUT=WOS:001431628100001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1111/geb.70015
DO - 10.1111/geb.70015
M3 - Data article
SN - 1466-822X
VL - 34
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
IS - 2
M1 - e70015
ER -