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John E. Gross

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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on temperature change using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vtw = Et x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using a terrestrial (moving window) anlaysis. The values range from 0 to 1 and are unitless, where Vhg = Eh x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Introduction (From Parks Stewardship Forum) Managers and scientists widely acknowledge climate change as one of the greatest threats to protected areas in the US and worldwide (Gross et al. 2016). The US National Park Service (NPS) began addressing climate change as early as the 1990s, and in 2010 NPS Director Jonathan Jarvis stated that “climate change is fundamentally the greatest threat to the integrity of our national parks that we have ever experienced” (NPS 2010). Today, parks throughout the NPS system experience impacts of human-caused climate change (e.g., Monahan and Fisichelli 2014; Gonzalez 2018) that threaten iconic park resources. Climate-related impacts include: melting glaciers (e.g., Glacier National...
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on climate velocity using a terrestrially-based analysis. The values range from 0 to 1 and are unitless, where Vvg = Ev x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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