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Hawaiʻi is considered a worldwide biodiversity hotspot, with nearly 90 percent of its native plants found nowhere else in the world. However, about half of these native plants are imperiled by threats including human development, non-native species, and climate change. Through this project, scientists modeled the relative vulnerability of over 1,000 native plant species to the effects of climate change. A panel of experts in Hawaiian plant species assisted with the development of the model and verified its results. From the model, researchers were able to develop a vulnerability score for each plant species and identify categories of species with high, medium, and low vulnerability to climate change. This information...
The Hawaiian Islands are home to a variety of native species that have been subject to numerous threats including development of habitat for human use, predation by introduced herbivores, and competition with invasive plant species. In addition to these threats global climate change is expected to increase temperature and alter patterns of precipitation in Hawaii. This project models the relative vulnerability of native plant species to the effects of climate change, in order to assist resource managers in effectively allocating limited resources to efficiently preserve and protect current and future habitat for native plants. We modeled vulnerability by creating an expert system – a network model linking biological...
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This dataset is a list of variables (in columns) corresponding to nodes in a categorical network model. Geographic variables vary according to the specific climate downscaling model used to project plant species range into the future. Continuous variables were discretized into two to five categories as required by the model, usually based on quantiles of distribution.
XML document specifying the categorical network model used to estimate relative vulnerability to climate change. Viewable in teh GeNiE graphical interface to the S.M.I.L.E. network learning software package.
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This raster indicates modeled habitat for various species under current and future conditions. Using the Price et al. (2012) parameters, we modeled species ranges as a function of elevation, temperature, and precipitation as described in Jacobi et al. (2016). Our methods departed slightly from their procedure in that we did not exclude non-pioneer-classified species from young lava flows. Jacobi, J.J., Camp, R.J., Berkowitz, S.P., Brinck, K.W., Fortini, L.B., Price, J.P., and Loh, R.M. 2016. Assess the potential impacts of projected climate change on vegetation management strategies within Hawaii Volcanoes National Park. PICSC Final Report. URL: https://nccwsc.usgs.gov/ Price, J.P., Jacobi, J.D., Gon, S.M., III,...
    map background search result map search result map Establishing Climate Change Vulnerability Rankings for Hawaiian Native Plants Merged traits used to fit the Hawaiian native plant vulnerability model Modeled ranges of Hawaiian plant species under current and future conditions under three climate downscaling scenarios Establishing Climate Change Vulnerability Rankings for Hawaiian Native Plants Merged traits used to fit the Hawaiian native plant vulnerability model Modeled ranges of Hawaiian plant species under current and future conditions under three climate downscaling scenarios