Look for complete geospatial metadata in this layer's associated xml document available from the download link * Metric Name: Risk of Tree Dieoff During Drought * * Tier: 1 * Data Vintage: 12/2021 * Unit Of Measure: This is a dimensionless index that ranges from 0 to ~20000. Low values indicate minimal or no risk of tree dieoff during drought, either or both because there are few trees in the pixel and/or there is ample local moisture even during periods of extreme precipitation shortfall. High values indicate significant risk of tree dieoff during drought, as a result of both a high density of trees at the site and likelihood of extreme local moisture shortfall. * Represent element and pillar: Yes * Type and distribution of data: Right skewed distribution representing index values. Raw data values range from 0 to 20000. * Translation: Where is risk of tree dieoff during drought low? * Translation method and outcome: Raw data values translated to range from +1 to -1 representing more favorable to less favorable conditions, respectively. **** The proposition of more favorable is based on the objective of tree dieoff during drought being lower (negative linear slope). More favorable (translated to +1) and less favorable (translated to -1) are based on climate and vegetation regions (Table 5). Figure . Histogram and scoring criterion of risk of tree dieoff during drought across the Central Coast. Figure . Histogram of translated risk of tree dieoff during drought across the Central Coast. Figure . Maps displaying raw metric and translated metric risk of tree dieoff during drought across the Central Coast. * Metric Definition and Relevance: A quantitative continuous variable that reflects the risk of tree dieoff during a significant drought period (SPI48 drought = -2). * Credits: CECS;