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Drivers of avian diversity and abundance across gradients of human influence

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Padilla_and_Sutherland_LandscapeEcology_AAM.pdf (1003.Kb)
Date
01/04/2022
Author
Padilla, Benjamin J.
Sutherland, Chris
Keywords
Avian ecology
Community ecology
Community-abundance model
Habitat heterogeneity
Human-dominated landscape
Species diversity
Urban ecology
Urban gradient
GF Human ecology. Anthropogeography
QH301 Biology
DAS
AC
MCC
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Abstract
Context : Identifying factors driving patterns of species communities in heterogenous human-dominated landscapes remains elusive despite extensive research. Biodiversity is thought to decrease with habitat modification, as sensitive species are lost. Conversely, diversity has also been shown increase at moderate levels of landscape modification where greater habitat heterogeneity supports a diverse suite of species. Objectives : We explore patterns of avian diversity and abundance in heterogenous landscapes using a novel integration of multiple dimensional gradients of human-mediated modification. Methods : We attempt to identify aspects of landscape heterogeneity driving patterns of avian diversity and abundance in agro-urban–rural systems. Specifically, we utilize an intuitive multi-dimensional gradient distinguishing between two axes of human-influence, variation in the built environment (hard–soft) and in agricultural development (green–brown). We use these as covariates in community N-mixture models to describe variation in species abundance and diversity. Results : Avian richness was greatest in more heterogeneous regions of the landscape. Responses of individual species were variable, with sensitive species declining, while generalist species increased, leading to higher overall diversity in human-dominated regions. Conclusions : Species abundance and diversity is maximized in more heterogeneous parts of landscape mosaics. By characterizing distinct axes of human influence that capture spectrum of land use, we can identify differential effects confounded in traditional landscape metrics. Critically, we demonstrate that multi-dimensional landscape gradients provide a more nuanced understanding of how patterns of biodiversity emerge. Acknowledging that biodiversity is not always negatively impacted by habitat modification offers encouraging insight to guide conservation and management in human-dominated landscapes.
Citation
Padilla , B J & Sutherland , C 2022 , ' Drivers of avian diversity and abundance across gradients of human influence ' , Landscape Ecology , vol. 37 , no. 4 , pp. 968-981 . https://doi.org/10.1007/s10980-022-01422-y
Publication
Landscape Ecology
Status
Peer reviewed
DOI
https://doi.org/10.1007/s10980-022-01422-y
ISSN
0921-2973
Type
Journal article
Rights
Copyright © The Author(s), under exclusive licence to Springer Nature B.V. 2022. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/s10980-022-01422-y.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/27071

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