SDE Raster Dataset
vegetation, chaparral, CWHR, Urban, Valley Oak, Hardwoods, California, Range Lands, Land Cover, Shrub, climate change, macrogroup, forest, redwood
The Climate Change Vulnerability Assessment of California's Terrestrial Vegetation assessed climate exposure of vegetation macrogroups based on two global climate models (GCMs) and two emission scenarios. The GCMs, CNRM CM5 and Miroc ESM, and emission scenarios used, RCP4.5 and RCP 8.5, represent a range of warming statewide from 1.99 to 4.56C and between a 24.8% decrease in precipitation and a 22.9% increase, respectively. A 2015 map of the states natural vegetation compiled from multiple sources was classified to the National Vegetation Classification Standards mid-level classification, called Macrogroup. Thirty one natural vegetation macrogroups are identified in the map, covering 99.87% of the states natural terrestrial vegetation, and occupying 353,271 sq km. The use of a 2015 map portraying the current extent of vegetation permitted an assessment of climate exposure based on known locations, rather than on potential locations. This data depicts the level of exposure to changing climate that each of 29 vegetation types examined is projected to experience at the locations it currently occupies. Further information can be found in the project report: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=116208
Climate exposure is the level of climate change expected in the areas where each vegetation macrogroup is dominating. The data depicts the results of the vegetation climate exposure analysis, conducted on 29 macrogroups across the state. The vegetation climate exposure analysis is calculated using the mapped extent of each macrogroup. Every grid cell of each macrogroup was ranked according to how frequently the climate in it occurs across all the grid cells occupied by that macrogroup in the state. This was done for the current time, which was then used to create a classification of common and rare climate conditions of each macrogroup. Once each types climate envelope was defined, we then assessed how the climate in every grid cell changed under various future climate projections. This allowed a measure of potential vegetation stress, or climate exposure. The area extent of each macrogroup that will be lost from the most commonly occurring climate conditions (less than or equal to 80%) and the area that will fall into current marginal, or stressed, climate conditions (greater than 95%) or outside the current climate conditions known in the state (non-analog) was calculated. This approach is particularly useful for resource managers, who often are constrained to work in specified areas, and need estimates of what areas within their jurisdiction are likely to be highly stressed, and what areas are likely to be less stressed, in effect climate refuge areas. Macrogroup 106 (Temperate Pacific Intertidal Shore) was excluded from the exposure analysis due to its limited distribution within the study areas. The small sample size made it difficult to accurately identify its climate space. Also excluded from this assessment are non-vegetated types such as snow, open water, and ice; and non-natural landcover types mapped as vineyards, tilled earth, orchards and Urban. The exposure raster data files are named with the GCM (miroc or cnrm), emission scenario (rcp 4.5 or rcp 8.5), and the last two digits of the year range of the time period (e.g. 2070-2099 = 7099) that the data represents. Further information can be found in the project report: [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=116208]
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