Major biases and knowledge gaps on fragmentation research in Brazil: Implications for conservation

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dc.contributor.authorLópez Teixido, Alberto
dc.contributor.authorGonçalves, Stela
dc.contributor.authorFernández-Arellano, Gileberto
dc.contributor.authorDáttilo, Wesley
dc.contributor.authorIzzo, Thiago
dc.contributor.authorLayme, Viviane
dc.contributor.authorMoreira, Leonardo
dc.contributor.authorQuintanilla, Luis
dc.date.accessioned2024-01-29T17:21:44Z
dc.date.available2024-01-29T17:21:44Z
dc.date.issued2020
dc.descriptionGJFA and SRAG received PhD fellowships, and LFBM received a postdoctoral fellowship from CAPES (20132816), Brazil. TJI is supported by CNPq (309552/2018-4), Brazil.
dc.description.abstractHabitat loss and fragmentation are among the main threats to global biodiversity and ecosystem services. However, major research biases and knowledge shortfalls in some geographical regions, taxonomic groups and responses studied are recurrent in fragmentation-related research. Therefore, detecting these biases and associated gaps is crucial to steer future research efforts and to guide applicable conservation policies. Here we conducted an exhaustive literature review to evaluate biases on fragmentation research across biomes, taxonomic groups, species responses and fragmentation metrics in Brazil. Overall, we analysed 716 papers, comprising a database with 26 taxonomic groups and 1173 cases studied across the six Brazilian biomes. In general, we observed that fragmentation-related research was biogeographically biased towards forest biomes. Specifically, the Atlantic Forest, the most populated and deforested Brazilian biome, comprised the highest number of studies (63%), while non-forest biomes were largely underrepresented. We also detected a high positive relative taxonomic bias for birds and mammals, while many insect taxa were disproportionately underrepresented in the literature. Altogether, assemblage-level species responses (abundance, diversity and richness) comprised 72% of study cases. Moreover, fragment size was clearly the most considered metric in the studies (43%) followed by habitat quality and edge effects. Our findings indicate major information deficits with regard to fragmentation-related research among taxonomic groups and amongst biomes in a megadiverse country. Therefore, we suggest that fragmentation research conducted in Brazil needs to consider undersampled taxa and to be urgently extended to increasingly degraded non-forest biomes in order to avoid inappropriate inferences.
dc.description.departmentDepto. de Biodiversidad, Ecología y Evolución
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationTeixido, Alberto L., et al. «Major Biases and Knowledge Gaps on Fragmentation Research in Brazil: Implications for Conservation». Biological Conservation, vol. 251, noviembre de 2020, p. 108749. DOI.org (Crossref), https://doi.org/10.1016/j.biocon.2020.108749.
dc.identifier.doi10.1016/j.biocon.2020.108749
dc.identifier.issn0006-3207
dc.identifier.officialurlhttps://doi.org/10.1016/j.biocon.2020.108749
dc.identifier.urihttps://hdl.handle.net/20.500.14352/96225
dc.journal.titleBiological Conservation
dc.language.isoeng
dc.page.initial108749
dc.publisherElsevier
dc.rights.accessRightsrestricted access
dc.subject.cdu581.526
dc.subject.keywordBiogeographic bias, Forest biomes, Fragmentation metrics, Non-forest biomes, Species responses, Taxonomic bias
dc.subject.ucmMedio ambiente natural
dc.subject.ucmBotánica (Biología)
dc.subject.ucmEcología (Biología)
dc.subject.unesco2505.04 Utilización del Terreno
dc.subject.unesco3106.01 Conservación
dc.subject.unesco2401.06 Ecología Animal
dc.subject.unesco2417.13 Ecología Vegetal
dc.subject.unesco2505.01 Biogeografía
dc.titleMajor biases and knowledge gaps on fragmentation research in Brazil: Implications for conservation
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number251
dspace.entity.typePublication
relation.isAuthorOfPublicationc4eef792-c337-48bb-913f-277cafa73c61
relation.isAuthorOfPublication.latestForDiscoveryc4eef792-c337-48bb-913f-277cafa73c61
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