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A new tool to quantify biodiversity change under landscape transformation

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2024

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Ecological Society of America
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Hilário RR, Carvalho WD, Xavier BDS, Palmeirim JM, Vieira MV, Mustin K, Cardoso P. A new tool to quantify biodiversity change under landscape transformation. Ecological Applications 2025;35:e3071. https://doi.org/10.1002/eap.3071.

Abstract

Identifying how species richness or diversity changes with different proportions of natural and anthropized environments in the landscape is important for landscape management for conservation. Here, we propose a new method to assess biodiversity changes in landscapes with varying proportions of habitat types. The algorithm is based on the resampling of individuals recorded in different habitats considering both the proportion occupied by each habitat in the landscape and the number of individuals recorded in each habitat. The diversity is assessed based on the sampled individuals. If a functional/phylogenetic tree or distance matrix is provided, the function returns the functional or phylogenetic richness values. This procedure is replicated a number of times with different proportions of each of the habitats in the landscape. Our method copes with two or more habitat types in the landscape and works with taxonomic, functional, and phylogenetic diversities. We tested our method using 10 different simulated scenarios and one empirical dataset with bats (Chiroptera) to assess whether they behaved as expected. Our method performed as expected in all scenarios and in the empirical dataset (considering also the functional and phylogenetic diversities in this latter case). The possibility of working with more than two habitat types and with different dimensions of diversity (i.e., functional and phylogenetic diversity) is a major advantage of the new method. We show that this is a valuable tool to assess biodiversity changes in the context of landscape planning, helping to promote more sustainable landscapes often composed of multiple habitat types with mixed biodiversity composition.

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Acknowledgments: This work was supported by Neotropical Grassland Conservancy (01098803-5), National Geographic Society (EC-59186R-19 and NGS-83254R-20), Bat Conservation International (2434131), and Rufford Foundation (25585-1). WDC was supported by the Spanish Ministry of Universities (CA3/RSUE/2021-00197). BSX was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil. CE3C and CHANGE are funded by Fundação para a Ciência e a Tecnologia—FCT (UIDB/00329/2020; LA/P/0121/2020). MVV was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq (308.974/2015-8, 441.589/2016-2), and Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro—FAPERJ (E-203.045/2017).

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