4.7 Article

Riding an escalator: upward range shift and patterns of genetic response to climate change in Acer caudatifolium

Journal

DIVERSITY AND DISTRIBUTIONS
Volume 28, Issue 9, Pages 1863-1874

Publisher

WILEY
DOI: 10.1111/ddi.13588

Keywords

Acer; climate change; elevational upshifting; local adaptation; risk of non-adaptedness; Taiwan

Funding

  1. Ministry of Science and Technology, Taiwan [105-2628-B-003-001-MY3, 109-2621-B-003-003-MY3, 110-2628-B-003-001]
  2. National Taiwan Normal University

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This study investigates the impact of climate change on the genetic compositions and spatial distributions of Taiwan's endemic maple Acer caudatifolium. It combines ecological and genetic approaches to estimate distribution range shifts, infer dispersal and genetic hotspots, and assess potential risks under different climate warming scenarios. The findings reveal genetic diversity hotspots and dispersal hotspots, as well as the vulnerability of certain populations to climate change.
Aim Rapid global warming is threatening global biodiversity, and it will likely lead to varying degrees of local adaptation, particularly amongst plant species. Besides, rising temperatures frequently result in upslope distribution shifts towards climatic optima (i.e. the escalator effect) within a limited dispersal space, such as in insular environments. Here, we integrated ecological and genetic approaches to investigate how climate change will impact the genetic compositions and spatial distributions of Taiwan's endemic maple Acer caudatifolium. Location Taiwan. Methods We estimate the distribution range shifts of A. caudatifolium under climate change through species distribution modelling (SDM). We also use 368 genotyped samples to infer dispersal and genetic hotspots and quantify the contributions of geography/environments to genetic variations. We further assess the potential risk to A. caudatifolium under different climate warming scenarios. Results We detected three genetic diversity hotspots near mountainous glacial refugia and two dispersal hotspots in northern Taiwan and the central-to-southern Central Mountain Range. Overall range reductions and an altitudinal upslope shift were observed in SDM. Using both linear and nonlinear regression approaches, we found that genetic variation was significantly associated with geographic distance and elevation-related climatic variables. The potential risk analysis revealed that the northernmost summit-dwelling populations were the most vulnerable. Furthermore, the major risk factor differed amongst populations: for central populations, temperature and precipitation jointly determined the potential risk, whereas precipitation was the only risk factor for northern and southern populations. Main conclusions This case study demonstrates how various climate factors, mountain height and the availability of corridors jointly determine the demographic fates and sustainability of island maples in the face of climate change. This study also provided estimates of the implications of global warming, which can be conducive to developing appropriate conservation strategies.

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