4.8 Article

Linking ecological niche models and common garden experiments to predict phenotypic differentiation in stressful environments: Assessing the adaptive value of marginal populations in an alpine plant

期刊

GLOBAL CHANGE BIOLOGY
卷 28, 期 13, 页码 4143-4162

出版社

WILEY
DOI: 10.1111/gcb.16181

关键词

adaptation; climate change; ecological niche models; environmental gradients; marginal areas; phenotypic variation; physiology; response curves; species distribution models

资金

  1. Spanish Ministry of Science and Innovation [CGL2012-33528, CGL2016-77377-R, BES-2013-064951]
  2. City College of New York from the Spanish Ministry of Science and Innovation [EEBB-I-16-11347]
  3. REMEDINAL TE-CM project postdoctoral fellowship [S2018/EMT-4338]
  4. Juan de la Cierva post-doctoral fellowship [MINECO: FJCI-2015-24712]
  5. City College of New York
  6. Graduate Center of the City University of New York
  7. Japan Society for the Promotion of Science Postdoctoral Fellowship for Foreign Researchers
  8. Okinawa Institute of Science and Technology Graduate University

向作者/读者索取更多资源

This study examines the impact of environmental conditions on genetically determined phenotypic differentiation using ecological niche models (ENMs) and common garden experiments. The results suggest that ENMs can be useful in identifying contrasting selective pressures within a species' range. Linking ENMs with common garden experiments provides a theoretical and practical approach to studying adaptive processes and understanding the conservation value of populations inhabiting environmentally marginal areas under climate change.
Environmental variation within a species' range can create contrasting selective pressures, leading to divergent selection and novel adaptations. The conservation value of populations inhabiting environmentally marginal areas remains in debate and is closely related to the adaptive potential in changing environments. Strong selection caused by stressful conditions may generate novel adaptations, conferring these populations distinct evolutionary potential and high conservation value under climate change. On the other hand, environmentally marginal populations may be genetically depauperate, with little potential for new adaptations to emerge. Here, we explored the use of ecological niche models (ENMs) linked with common garden experiments to predict and test for genetically determined phenotypic differentiation related to contrasting environmental conditions. To do so, we built an ENM for the alpine plant Silene ciliata in central Spain and conducted common garden experiments, assessing flowering phenology changes and differences in leaf cell resistance to extreme temperatures. The suitability patterns and response curves of the ENM led to the predictions that: (1) the environmentally marginal populations experiencing less snowpack and higher minimum temperatures would have delayed flowering to avoid risks of late-spring frosts and (2) those with higher minimum temperatures and greater potential evapotranspiration would show enhanced cell resistance to high temperatures to deal with physiological stress related to desiccation and heat. The common garden experiments revealed the expected genetically based phenotypic differentiation in flowering phenology. In contrast, they did not show the expected differentiation for cell resistance, but these latter experiments had high variance and hence lower statistical power. The results highlight ENMs as useful tools to identify contrasting putative selective pressures across species ranges. Linking ENMs with common garden experiments provides a theoretically justified and practical way to study adaptive processes, including insights regarding the conservation value of populations inhabiting environmentally marginal areas under ongoing climate change.

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