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home > data and maps > derived data > tassel-eared squirrel |
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ForestERA Metadata - Tassel-eared Squirrel Density and Recruitment |
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AbstractThese are 90m resolution raster datasets describing predicted Tassel-eared Squirrel density (Squirrels / Ha) and recruitment (Juveniles / Ha) across the western Mogollon Plateau in Arizona. It was created as part of the Forest Ecosystem Restoration Analysis (ForestERA) project to support landscape-scale forest restoration planning efforts by a broad group of stakeholders including federal and state agencies, academic institutions, and non-governmental entities. Purpose This layer was developed by the ForestERA project
for use in landscape-level planning and prioritization of forest management
on the western Supplementary Information This layer was developed from field data collected by Norris Dodd of the Arizona Game and Fish Department on nine 280 ha study sites spread across the Western Mogollon Rim between 2000 and 2003. In our modeling approach, we used Norris Dodd's estimates of squirrel density and recruitment from 2 sampling plots, each 24 ha in size, from each of his study areas (n = 18 sampling plots). Using linear regression, we linked these to layers representing forest structural attributes developed from remotely sensed imagery by the ForestERA project. We developed a-priori hypotheses about the influence of forest structure on squirrel density and used the relationships between the remotely-sensed data layers and squirrel density to develop a set of candidate models for analysis. We used Akaike's Information Criterion (AIC) and an information-theoretic approach to assess the strength of these models and choose the most strongly supported model from the set of candidate models. Our most strongly supported model for Tassel-eared Squirrel density and recruitment were; Squirrel Density = -0.1815 + (0.0206 * basal area). Squirrel Recruitment = -0.1710 + (0.0076 * basal area) + (0.0007 * canopy cover variant) + (0.0001 * interaction effect) In the squirrel recruitment model, the canopy cover variant was created by determining the number of cells with cover greater than 50% over a 160 ha extent. In ArcGIS this involved converting the canopy cover layer to a binary layer (cells with cover > 50% reclassified as 1, other cells reclassified as 0). Then, a neighborhood focalsum operation was used on this layer (focalsum of a circle with a radius of 8 pixels). Adjusted r-squared values indicated that these models were doing a good job of explaining variance in squirrel density (r2 = 0.84) and recruitment (r2 = 0.72). To do a rigorous accuracy assessment for these layers would require the collection of a great deal of ground data on squirrel density and recruitment. However, we were able to do a limited assessment using data collected by Norris Dodd on seven independent study plots in the mid 1990's. We obtained the boundaries for these study plots and estimated squirrel density for each of those plots using our models. Using linear regression, we compared these estimates with estimates of squirrel density and recruitment obtained on each plot during the field study. This analysis indicated that there were statistically significant relationships between the two estimates for squirrel density (F = 7.6, P = 0.04, r2 = 0.60, m = 0.84, d.f. = 6), and squirrel recruitment (F = 9.3, P = 0.03, r2 = 0.65, m = 0.47, d.f. = 6). These data are intended for regional analyses over spatial extents on the order of tens to hundreds of thousands of acres, and were not developed for use at finer spatial scales, although they may be useful for some applications at those finer scales. _________________ Status of the data Complete Time period for which the data is relevant Date and time: 2000 Publication Information Who created the data: Forest Ecosystem Restoration Analysis Project Date and time: Data storage and access information File name: firerisk90m Location of the data: \\ENVSCI41\Shared\metadata_layers\grids\tesrecruit90m Accessing the data Size of the data: 22.340 MB Constraints on accessing and using the data Access constraints: This layer may be accessed by any interested
party. It is Use constraints: Details about this document Contents last updated: 20040421 at time 14425800 Who completed this document
Contact Instructions: Contact Dr. Thomas D. Sisk or the Standards used to create this document Standard name: FGDC Content Standards for Digital Geospatial
Metadata Horizontal coordinate system Projected coordinate system name: NAD_1983_UTM_Zone_12N Planar Coordinate Information Planar Distance Units: meters Geodetic Model Horizontal Datum Name: North American Datum of 1983 Bounding coordinates Horizontal Spatial data description Raster dataset information No detailed attribute information is available. Page last updated February 11, 2005 |
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