Functional traits drive tadpole responses to land use in coastal areas

Author:

Boelter Thaíse1ORCID,Moreira Leonardo Felipe Bairos23ORCID,Stenert Cristina14ORCID,Maltchik Leonardo4ORCID

Affiliation:

1. Laboratório de Ecologia e Conservação de Ecossistemas Aquáticos Universidade do Vale do Rio dos Sinos—UNISINOS São Leopoldo Brazil

2. Instituto Nacional de Pesquisa do Pantanal—INPP Cuiabá Brazil

3. Museu Paraense Emílio Goeldi—MPEG Belém Brazil

4. Programa de Pós‐Graduação em Biologia de Ambientes Aquáticos Continentais Universidade Federal Do Rio Grande—FURG Rio Grande Brazil

Abstract

Abstract Land use changes are considered a significant cause of amphibian declines worldwide. However, little is known regarding which land uses have more pervasive impacts and which help to supplement the biodiversity conserved in protected areas. In addition, amphibian species respond to a broad array of geographical constraints, which may blur responses to disturbance, depending on the species' natural history. Here, we explored whether functional diversity patterns of amphibian assemblages are linked to human land use while considering spatial autocorrelation and phylogenetic relatedness among species. We surveyed tadpoles along 500 km in coastal wetlands in southern Brazil and quantified four traits related to tadpole habitat use and predator avoidance. Spatial components influenced functional richness to a greater extent than land use. Functional evenness was higher in ponds surrounded by more exotic reforestation, and to a lesser extent  an effect of crop area. Functional divergence was also associated with reforestation areas. Our results showed that some land uses (reforestation with exotic species and temporary crops) have more pervasive impacts on tadpole communities. Such changes in amphibian communities occurred even at low levels of landscape change. Our findings highlight that conversion to human land use requires complementary approaches (i.e., tadpole and adult responses) to provide early warning signals about habitat modification effects.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

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4. Barton K.(2020).MuMIn: Multi‐model inference. R package version 1.43.17.https://CRAN.R‐project.org/package=MuMIn

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