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Seasonality modulates habitat cover effects on avian cross-boundary responses and spillover

Citation

Boesing, Andrea Larissa et al. (2022), Seasonality modulates habitat cover effects on avian cross-boundary responses and spillover, Dryad, Dataset, https://doi.org/10.5061/dryad.jq2bvq8bq

Abstract

Species cross-boundary response is a key mechanism affecting species spillover into agricultural fields. However, temporal changes in edge permeability, which may depend on the seasonal availability of resources in both matrix and native habitats, remain poorly understood. Here we tested how edge crossing behavior and the associated spillover of birds into sun coffee plantations respond to landscape structure and seasonality. We monitored the movement of six insectivorous understory bird species (four forest-specialists and two forest-generalists) using an automated telemetry system along a gradient of forest cover (7-60%) during two seasons (dry vs. wet) at nine sampling sites at the Brazilian Atlantic forest. We monitored 116 individuals and obtained a total of 15,129 bird detections across seasons. Bird resistance to crossing edges was strongly driven by an interaction between seasonality and forest cover in the surrounding landscape, with higher resistance to crossing edges along the dry season and in landscapes with lower amount of forest cover. Furthermore, spillover patterns in plantations were driven by an interaction between forest cover and distance from forest edges, but this was most pronounced for forest-specialist bird species. Forest-specialists moved more intensively and farther from edges in more forested landscapes, whereas forest-generalists showed similar patterns of occupation regardless of forest cover and isolation. Our study contributes to a better understanding of avian cross-boundary responses and spillover in response to landscape structure across seasons and the factors driving bird movement decisions in anthropogenic landscapes. There are a myriad of possible mechanisms governing movement decisions, and these mechanisms may interact in complex ways and remain important foci for research within fields of tropical ecology and evolution in the tropics.

Methods

The data upload here encompasses the data regarding 1) the number of detections of each marked individual across automated receptors (DetectionsAcross_AutomatedReceptors.xls), and 2) the Edge Resistance Index calculated for each species (EdgeResistanceIndex.xls). Details regarding data collection is in the session 'Material & Methods' in the manuscript. The coordinates of the individual receptors can be made available upon reasonable request. Please, send an email to Andrea Larissa Boesing (lari.boesing@gmail.com) in case you want access the geolocations. 

Usage Notes

All analyses were performed in R studio.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo, Award: 2013/23457-6; 2019/13802-4; 2017/26093-6; 2019/00923-8; 2013/50421-2; 2020/01779-5; 2021/08534-0; 2021/10195-0

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Award: CAPES 001; PROCAD

Conselho Nacional de Desenvolvimento Científico e Tecnológico, Award: 312045/2013-1; 312292/2016-3; 442147/2020-1; 402765/2021-4; 313016/2021-6