Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > California Landscape Conservation Cooperative > CA LCC External Projects (funded) > Assessing and Mapping Rare Plant Species Vulnerability to Climate Change ( Show all descendants )
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ROOT _ScienceBase Catalog __LC MAP - Landscape Conservation Management and Analysis Portal ___California Landscape Conservation Cooperative ____CA LCC External Projects (funded) _____Assessing and Mapping Rare Plant Species Vulnerability to Climate Change Filters
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We assessed climate change vulnerability of 156 rare plant species of California. Our work canbe divided into three complementary parts. First (1), we assigned a climate change vulnerability score to each of 156 rare plant species. The vulnerability scores are based on life history attributes and distribution model results, as specified by the Climate Change Vulnerability Index (CCVI) of NatureServe. The resulting CCVI scores were extremely vulnerable (n = 2), highly vulnerable (n = 40), moderately vulnerable (n = 57), presumed stable (n = 32), increase likely (n = 16), and insuficient evidence (n = 9). The most vulnerable species in our subset were Piperia yadonii, Mimulus purpureus, Calliandra eriophylla, Limosella...
We assessed the ‘vulnerability’ of roughly 10% of California’s rare plant species (156 of 1625 total rare plants) representing a range of species characteristics. The project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess...
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LCC Network Science Catalog,
data.gov California LCC,
environment,
nonGeographicDataset
The project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess where barriers and protected areas are located with reference to the change in species distribution. Given the results of the distribution modeling, each species...
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