High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Year: 2026
Type: article
Abstract: Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges. Here we assessed climate risk for eight endemic species occurring in the Cascade Range of Washington State and modeled their ability to persist through the end of the century. Methods For current species distributions, we utilized online georeferenced herbarium specimen and observation data from Pacific Northwest herbaria and iNaturalist. We visualized future climate impacts on current habitat space for each species using principal component analysis under two future CO 2 emission levels: SSP245 and SSP585. We then applied an ensemble modeling approach using spatial data for climate, canopy cover, topography, and geology to predict future suitable habitat for each species. Results Our models predicted substantial habitat area losses for seven of eight species examined, with four expected to lose 99–100% of suitable habitat if CO 2 emissions continue at current levels (SSP585). Under reduced CO 2 emissions levels (SSP245), an average of 26.8% of the habitat area loss for each species can be abated. Conclusions While our models show habitat range shifts for these species, it remains uncertain whether any species will successfully migrate into future potential suitable habitat. Habitat loss predicted in this study informs potential conservation needs. We present a repeatable modeling framework for studying climate change impacts on habitat for targeted species using publicly available distribution and environmental data.
Source: American Journal of Botany
DOI: 10.1002/ajb2.70195
Language: English
Subfield: Ecological Modeling
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: hybrid
Estimated APC paid: $2,660
OpenAlex ID: W7159976618
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