Identifying candidate plants for climate-informed restoration

被引:0
作者
Guinan, Abigail [1 ,2 ]
Evans, Annette E. [2 ,3 ,4 ]
Plotkin, Audrey Barker [2 ,5 ]
Bradley, Bethany A. [2 ,3 ]
机构
[1] SUNY ESF, Div Environm Sci, Syracuse, NY 13210 USA
[2] Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA
[3] Univ Massachusetts, Northeast Climate Adaptat Sci Ctr, Amherst, MA 01003 USA
[4] Univ St Joseph, Dept Biol, West Hartford, CT 06117 USA
[5] Harvard Univ, Harvard Forest, Petersham, MA 01366 USA
关键词
Acer saccharinum; assisted gene-flow; assisted migration; climate change; floodplain forest; indicator species; BIODIVERSITY; IMPACTS; DISTRIBUTIONS; MIGRATION; MODELS; SOIL;
D O I
10.1111/rec.70030
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological adaptation to rapid climate change requires information about which species might establish, persist, or disappear from plant communities. While range shift projections are available for selected individual species, these analyses are rarely focused on the plant community. Here, we leverage plant community surveys across the United States to identify potential shifts in silver maple community assemblages across a temperature gradient (hardiness zones). We analyzed 1,052 vegetation survey plots using multivariate techniques and found marginally significant community-level differences in silver maple community assemblages across U.S. Department of Agriculture hardiness zones. We identified species associated with silver maple communities across both broad and narrow ranges of hardiness zones. We illustrate how this approach can be used for climate-informed management. Taxa associated with a narrow range of hardiness zones may be candidates for assisted migration, the relocation of species outside of their historical native range in anticipation of climate change. In contrast, taxa associated with a broad range of hardiness zones may be able to adapt to climate change, particularly if the population is genetically diverse or if restoration includes assisted gene flow, where seeds or individuals are sourced from populations in the direction of projected climate change within their native ranges. Our study demonstrates how macroscale community analysis can leverage existing datasets to identify taxa for future climate-informed conservation and restoration.
引用
收藏
页数:9
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