A Meta-Analysis of Local Adaptation in Plants
Open accessAbstract
Local adaptation is of fundamental importance in evolutionary, population, conservation, and global-change biology. The generality of local adaptation in plants and whether and how it is influenced by specific species, population and habitat characteristics have, however, not been quantitatively reviewed. Therefore, we examined published data on the outcomes of reciprocal transplant experiments using two approaches. We conducted a meta-analysis to compare the performance of local and foreign plants at all transplant sites. In addition, we analysed frequencies of pairs of plant origin to examine whether local plants perform better than foreign plants at both compared transplant sites. In both approaches, we also examined the effects of population size, and of the habitat and species characteristics that are predicted to affect local adaptation. We show that, overall, local plants performed significantly better than foreign plants at their site of origin: this was found to be the case in 71.0% of the studied sites. However, local plants performed better than foreign plants at both sites of a pair-wise comparison (strict definition of local adaption) only in 45.3% of the 1032 compared population pairs. Furthermore, we found local adaptation much more common for large plant populations (>1000 flowering individuals) than for small populations (<1000 flowering individuals) for which local adaptation was very rare. The degree of local adaptation was independent of plant life history, spatial or temporal habitat heterogeneity, and geographic scale. Our results suggest that local adaptation is less common in plant populations than generally assumed. Moreover, our findings reinforce the fundamental importance of population size for evolutionary theory. The clear role of population size for the ability to evolve local adaptation raises considerable doubt on the ability of small plant populations to cope with changing environments.
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Our models of local and global competition have their equivalents both in previous studies in evolutionary computation and in the study of natural populations.
“Our models of local and global competition have their equivalents both in previous studies in evolutionary computation (with Quality-Diversity algorithms representing local competition and classical algorithms global) and in the study of natural populations”
From Dynamics of niche construction in adaptable populations evolving in diverse environments (2023) · cites this paper as Leimu and Fischer, 2008
The Results section (“Generality of local adaptation in plants”; page unavailable) reports both cases where each plant population performs best in its local environment and cases where one population performs best at both sites. These provide natural-population examples resembling local and global advantages, but the paper does not identify them as equivalents of local and global competition models. (LLM, conf=0.76)
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Landscape moderation of biodiversity patterns and processes ‐ eight hypotheses
Tscharntke, T., Tylianakis, J. M., Rand, T. A., Didham, R. K., Fahrig, L., Batáry, P., Bengtsson, J., Clough, Y., Crist, T. O., Dormann, C. F., et al. (2012) · Biological Reviews · doi:10.1111/j.1469-185x.2011.00216.x · Cited by 2,134 · see citing works
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
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“Numerous reciprocal transplant experiments over the past 75 years have demonstrated that local adaptation is common (Clausen et al. 1940; Leimu and Fischer 2008; Here-ford 2009).”
Willi, Y., Kristensen, T. N., Sgrò, C. M., Weeks, A. R., Ørsted, M., & Hoffmann, A. A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105076119 · Cited by 281 · see citing works
Dynamics of niche construction in adaptable populations evolving in diverse environments
Nisioti, E., & Moulin-Frier, C. (2023) · The 2023 Conference on Artificial Life · doi:10.1162/isal_a_00668 · Cited by 2 · see citing works
- Authors
- Leimu, R., & Fischer, M.
- Affiliations
- University of Bern (CH)
- Corresponding author
- Leimu, Roosa
- ORCID
- Fischer, Markus
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-12-23
- Volume
- 3
- Issue
- 12
- Pages
- e4010
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC2602971
- OpenAlex
- W2035317733
- Cited by
- 1,155
- References
- 1
- Citations by year
- 2026: 69 · 2025: 59 · 2024: 61 · 2023: 63 · 2022: 102 · 2021: 81 · 2020: 81 · 2019: 94 · 2018: 69 · 2017: 95 · 2016: 79 · 2015: 69 · 2014: 61 · 2013: 67 · 2012: 47
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- publish.UP (University of Potsdam) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- local adaptation, plants, reciprocal transplant, population size, small populations, habitat heterogeneity, life history, evolutionary theory, conservation biology, global change
- MeSH terms
- Adaptation, Physiological, Geography, Mutation, Population Density, Genes, Plant, Ecosystem, Plant Physiological Phenomena, Biodiversity
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