Genomic vulnerability and socio‐economic threats under climate change in an African rainforest bird

  • Preserving biodiversity under rapidly changing climate conditions is challenging. One approach for estimating impacts and their magnitude is to model current relationships between genomic and environmental data and then to forecast those relationships under future climate scenarios. In this way, understanding future genomic and environmental relationships can help guide management decisions, such as where to establish new protected areas where populations might be buffered from high temperatures or major changes in rainfall. However, climate warming is only one of many anthropogenic threats one must consider in rapidly developing parts of the world. In Central Africa, deforestation, mining, and infrastructure development are accelerating population declines of rainforest species. Here we investigate multiple anthropogenic threats in a Central African rainforest songbird, the little greenbul (Andropadus virens). We examine current climate and genomic variation in order to explore thePreserving biodiversity under rapidly changing climate conditions is challenging. One approach for estimating impacts and their magnitude is to model current relationships between genomic and environmental data and then to forecast those relationships under future climate scenarios. In this way, understanding future genomic and environmental relationships can help guide management decisions, such as where to establish new protected areas where populations might be buffered from high temperatures or major changes in rainfall. However, climate warming is only one of many anthropogenic threats one must consider in rapidly developing parts of the world. In Central Africa, deforestation, mining, and infrastructure development are accelerating population declines of rainforest species. Here we investigate multiple anthropogenic threats in a Central African rainforest songbird, the little greenbul (Andropadus virens). We examine current climate and genomic variation in order to explore the association between genome and environment under future climate conditions. Specifically, we estimate Genomic Vulnerability, defined as the mismatch between current and predicted future genomic variation based on genotype–environment relationships modeled across contemporary populations. We do so while considering other anthropogenic impacts. We find that coastal and central Cameroon populations will require the greatest shifts in adaptive genomic variation, because both climate and land use in these areas are predicted to change dramatically. In contrast, in the more northern forest–savanna ecotones, genomic shifts required to keep pace with climate will be more moderate, and other anthropogenic impacts are expected to be comparatively low in magnitude. While an analysis of diverse taxa will be necessary for making comprehensive conservation decisions, the species-specific results presented illustrate how evolutionary genomics and other anthropogenic threats may be mapped and used to inform mitigation efforts. To this end, we present an integrated conceptual model demonstrating how the approach for a single species can be expanded to many taxonomically diverse species.show moreshow less

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Metadaten
Author:Thomas B. Smith, Trevon L. Fuller, Ying Zhen, Virginia Zaunbrecher, Henri A. Thomassen, Kevin Njabo, Nicola M. Anthony, Mary K. Gonder, Wolfgang BuermannGND, Brenda Larison, Kristen Ruegg, Ryan J. Harrigan
URN:urn:nbn:de:bvb:384-opus4-1148499
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/114849
ISSN:1752-4571OPAC
Parent Title (English):Evolutionary Applications
Publisher:Wiley
Place of publication:Hoboken, NJ
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2024/09/03
Volume:14
Issue:5
First Page:1239
Last Page:1247
DOI:https://doi.org/10.1111/eva.13193
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Lehrstuhl für Physische Geographie mit Schwerpunkt Klimaforschung
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 8 - Menschenwürdige Arbeit und Wirtschaftswachstum
Nachhaltigkeitsziele / Ziel 13 - Maßnahmen zum Klimaschutz
Nachhaltigkeitsziele / Ziel 14 - Leben unter Wasser
Nachhaltigkeitsziele / Ziel 15 - Leben an Land
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)