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- Yim, ChristinaDepartment of Biology Pennsylvania State University University Park Pennsylvania USA (author)
Climate biogeography of Arabidopsis thaliana : Linking distribution models and individual variation
- Article/chapterEnglish2023
Publisher, publication year, extent ...
- John Wiley & Sons,2023
- electronicrdacarrier
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- LIBRIS-ID:oai:DiVA.org:uu-519829
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-519829URI
- https://doi.org/10.1111/jbi.14737DOI
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- Language:English
- Summary in:English
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- Aim Patterns of individual variation are key to testing hypotheses about the mechanisms underlying biogeographic patterns. If species distributions are determined by environmental constraints, then populations near range margins may have reduced performance and be adapted to harsher environments. Model organisms are potentially important systems for biogeographical studies, given the available range-wide natural history collections, and the importance of providing biogeographical context to their genetic and phenotypic diversity.Location Global.Taxon Arabidopsis thaliana (‘Arabidopsis’).Methods We fit occurrence records to climate data, and then projected the distribution of Arabidopsis under last glacial maximum, current and future climates. We confronted model predictions with individual performance measured on 2194 herbarium specimens, and we asked whether predicted suitability was associated with life history and genomic variation measured on ~900 natural accessions.Results The most important climate variables constraining the Arabidopsis distribution were winter cold in northern and high elevation regions and summer heat in southern regions. Herbarium specimens from regions with lower habitat suitability in both northern and southern regions were smaller, supporting the hypothesis that the distribution of Arabidopsis is constrained by climate-associated factors. Climate anomalies partly explained interannual variation in herbarium specimen size, but these did not closely correspond to local limiting factors identified in the distribution model. Late-flowering genotypes were absent from the lowest suitability regions, suggesting slower life histories are only viable closer to the centre of the realized niche. We identified glacial refugia farther north than previously recognized, as well as refugia concordant with previous population genetic findings. Lower latitude populations, known to be genetically distinct, are most threatened by future climate change. The recently colonized range of Arabidopsis was well-predicted by our native-range model applied to certain regions but not others, suggesting it has colonized novel climates.Main Conclusions Integration of distribution models with performance data from vast natural history collections is a route forward for testing biogeographical hypotheses about species distributions and their relationship with evolutionary fitness across large scales.
Subject headings and genre
- NATURVETENSKAP Biologi Ekologi hsv//swe
- NATURAL SCIENCES Biological Sciences Ecology hsv//eng
- life history
- local adaptation
- model organisms
- museum specimens
- natural history
- quantitative genetics
- spatially-varying coefficients
Added entries (persons, corporate bodies, meetings, titles ...)
- Bellis, Emily S.Department of Biology Pennsylvania State University University Park Pennsylvania USA;Department of Computer Science Arkansas State University Jonesboro Arkansas USA (author)
- DeLeo, Victoria L.Department of Biology Pennsylvania State University University Park Pennsylvania USA (author)
- Gamba, DianaDepartment of Biology Pennsylvania State University University Park Pennsylvania USA (author)
- Muscarella, RobertUppsala universitet,Växtekologi och evolution(Swepub:uu)robmu681 (author)
- Lasky, Jesse R.Department of Biology Pennsylvania State University University Park Pennsylvania USA (author)
- Department of Biology Pennsylvania State University University Park Pennsylvania USADepartment of Biology Pennsylvania State University University Park Pennsylvania USA;Department of Computer Science Arkansas State University Jonesboro Arkansas USA (creator_code:org_t)
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- In:Journal of Biogeography: John Wiley & Sons0305-02701365-2699
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