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For more information on this dataset, refer to the full report: https://www.fs.fed.us/pnw/pubs/pnw_gtr917.pdf", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 102006, "latestWkid": 3338, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -13752200, "falseY": -8948200, "xyUnits": 3.274821212148234E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "Hennon, P. E., McKenzie, C. M., D'Amore, D., Wittwer, D. T., Mulvey, R. L., Lamb, M. S., Biles, F. E., and Cronn, R. C. (2016). 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The new rangewide yellow-cedar map and the components used to build it are described in detail in section 1. The Alaska portion is outlined briefly here as it is the basis for the assessment of yellow-cedar habitat suitability and risk of decline presented in this section.\n\nThe rangewide distribution was developed at a resolution of 240 m, which is the common denominator for all input data sources. Yellow-cedar areas represented\nin Prince William Sound and Glacier Bay National Park were derived by using \u201csketched polygon\u201d methods from boat and aerial surveys. The 240-m rasterized data layer was applied in the respective zones of Glacier Bay, and northwestward for the yellow-cedar suitability/vulnerability predictions. There were either few or no forest inventory plots in these areas to inform a distribution model such as Ellenwood\u2019s for these areas. The Ellenwood model\u2019s 30-m forest parameter data are present only in the southeast Alaska subregion. \nTherefore, this new data layer (see following) is represented in an aggregated companion dataset at 240 m in order to include the Pacific Coast and south-central Alaska subregions of the Alaskan coastal forest. The Ellenwood 30-m-extent geographic information systems (GIS) layer for yellow-cedar represents the best available predictive source for areas in southeast Alaska south of Glacier Bay and the Haines area. This layer was produced for those pixels where the calculated probability was ≥50 percent; any single isolated pixels were removed and filled in. Those results were then buffered by two pixels and applied as representing yellow-cedar presence in the respective zones south of, but\nnot including, Glacier Bay and Haines for the yellow-cedar suitability/vulnerability\npredictions.\n\nMore information is available in the full report: https://www.fs.fed.us/pnw/pubs/pnw_gtr917.pdf", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 102006, "latestWkid": 3338, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -13752200, "falseY": -8948200, "xyUnits": 3.274821212148234E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "Hennon, P. E., McKenzie, C. M., D'Amore, D., Wittwer, D. T., Mulvey, R. L., Lamb, M. S., Biles, F. E., and Cronn, R. C. (2016). 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The goal of NIDRM is to summarize landscape-level patterns of potential insect and disease activity, consistent with the philosophy that science-based, transparent methods should be used to allocate pest-management resources across geographic regions and individual pest distributions. In other words: prioritize investment for areas where both hazard is significant and effective treatment can be efficiently implemented. As part of this analysis, host tree species were mapped nationwide. This dataset was created by combining all of the tree species together into a single layer for Alaskan forests. This has a lower tree-per-acre definition than other tree layers, so it shows a broader area of forest cover (including shrublands dominated by willow and alder).", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 102006, "latestWkid": 3338, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -13752200, "falseY": -8948200, "xyUnits": 3.274821212148234E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "Krist et al. 2014. National Insect and Disease Forest Risk Assessment. USDA Forest Service Forest Health Technology Enterprise Team. FHTET-14-01. Ft Collins Colorado. 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