Dataset Identification:
Resource Abstract:
- description: This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada.
HSIs were calculated for spring, summer, and winter sage-grouse seasons, and then multiplied together to create this composite
dataset. Summary of steps to create Habitat Categories: HABITAT SUITABILITY INDEX: The HSI was derived from a generalized
linear mixed model (specified by binomial distribution and created using ArcGIS 10.2.2) that contrasted data from multiple
environmental factors at used sites (telemetry locations) and available sites (random locations). Predictor variables for
the model represented vegetation communities at multiple spatial scales, water resources, habitat configuration, urbanization,
roads, elevation, ruggedness, and slope. Vegetation data was derived from various mapping products, which included NV SynthMap,
SageStitch, LANDFIRE, and the CA Fire and Resource Assessment Program. The analysis was updated to include high resolution
percent cover within 30 x 30 m pixels for Sagebrush, non-sagebrush, herbaceous vegetation, and bare ground (C. Homer, unpublished)
and conifer (P. Coates, unpublished). The pool of telemetry data included the same data from 1998 - 2013 used by Coates et
al. (2014) as well as additional telemetry location data from field sites in 2014. The dataset was then split according to
calendar date into three seasons (spring, summer, winter). Spring included telemetry locations (n = 14,058) from mid-March
to June; summer included locations (n = 11,743) from July to mid-October; winter included locations (n = 4862) from November
to March. All age and sex classes of marked grouse were used in the analysis. Sufficient data (i.e., a minimum of 100 locations
from at least 20 marked Sage-grouse) for modeling existed in 10 subregions for spring and summer, and seven subregions in
winter, using all age and sex classes of marked grouse. It is important to note that although this map is composed of HSI
values derived from the seasonal data, it does not explicitly represent habitat suitability for reproductive females (i.e.,
nesting and with broods). Insufficient data were available to allow for estimation of this habitat type for all seasons throughout
the study area extent. A Resource Selection Function (RSF) was calculated for each subregion using R software (v 3.13) using
generalized linear models to derive model-averaged parameter estimates for each covariate across a set of additive models.
Subregional RSFs were transformed into Habitat Suitability Indices, and averaged together to produce an overall statewide
HSI whereby a relative probability of occurrence was calculated for each raster cell for each season. In order to account
for discrepancies in HSI values caused by varying ecoregions within Nevada, the HSI was divided into north and south extents
using a slightly modified flood region boundary (Mason 1999) that was designed to represent respective mesic and xeric regions
of the state. North and south HSI rasters were each relativized according to their maximum value to rescale between zero and
one, then mosaicked once more into a state-wide extent. The three seasonal HSIs were then multiplied to create a composite
annual HSI. REFERENCES: California Forest and Resource Assessment Program. 2006. Statewide Land Use / Land Cover Mosaic. [Geospatial
data.] California Department of Forestry and Fire Protection, http://frap.cdf.ca.gov/data/frapgisdata-sw-rangeland-assessment_data.php
Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T.,
Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater
sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern CaliforniaA decision-support tool for management:
U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online) Comer,
P., Kagen, J., Heiner, M., and Tobalske, C. 2002. Current distribution of sagebrush and associated vegetation in the western
United States (excluding NM). [Geospatial data.] Interagency Sagebrush Working Group, http://sagemap.wr.usgs.gov Homer, C.G.,
Aldridge, C.L., Meyer, D.K., and Schell, S.J. 2014. Multi-Scale Remote Sensing Sagebrush Characterization with Regression
Trees over Wyoming, USA; Laying a Foundation for Monitoring. International Journal of Applied Earth Observation and Geoinformation
14, Elsevier, US. LANDFIRE. 2010. 1.2.0 Existing Vegetation Type Layer. [Geospatial data.] U.S. Department of the Interior,
Geological Survey, http://landfire.cr.usgs.gov/viewer/ Mason, R.R. 1999. The National Flood-Frequency ProgramMethods For Estimating
Flood Magnitude And Frequency In Rural Areas In Nevada U.S. Geological Survey Fact Sheet 123-98 September, 1999, Prepared
by Robert R. Mason, Jr. and Kernell G. Ries III, of the U.S. Geological Survey; and Jeffrey N. King and Wilbert O. Thomas,
Jr., of Michael Baker, Jr., Inc. http://pubs.usgs.gov/fs/fs-123-98/ Peterson, E. B. 2008. A Synthesis of Vegetation Maps for
Nevada (Initiating a 'Living' Vegetation Map). Documentation and geospatial data, Nevada Natural Heritage Program,
Carson City, Nevada, http://www.heritage.nv.gov/gis NOTE: This file does not include habitat areas for the Bi-State management
area and the spatial extent is modified in comparison to Coates et al. 2014; abstract: This raster represents a continuous
surface of sage-grouse habitat suitability index (HSI) values for Nevada. HSIs were calculated for spring, summer, and winter
sage-grouse seasons, and then multiplied together to create this composite dataset. Summary of steps to create Habitat Categories:
HABITAT SUITABILITY INDEX: The HSI was derived from a generalized linear mixed model (specified by binomial distribution and
created using ArcGIS 10.2.2) that contrasted data from multiple environmental factors at used sites (telemetry locations)
and available sites (random locations). Predictor variables for the model represented vegetation communities at multiple spatial
scales, water resources, habitat configuration, urbanization, roads, elevation, ruggedness, and slope. Vegetation data was
derived from various mapping products, which included NV SynthMap, SageStitch, LANDFIRE, and the CA Fire and Resource Assessment
Program. The analysis was updated to include high resolution percent cover within 30 x 30 m pixels for Sagebrush, non-sagebrush,
herbaceous vegetation, and bare ground (C. Homer, unpublished) and conifer (P. Coates, unpublished). The pool of telemetry
data included the same data from 1998 - 2013 used by Coates et al. (2014) as well as additional telemetry location data from
field sites in 2014. The dataset was then split according to calendar date into three seasons (spring, summer, winter). Spring
included telemetry locations (n = 14,058) from mid-March to June; summer included locations (n = 11,743) from July to mid-October;
winter included locations (n = 4862) from November to March. All age and sex classes of marked grouse were used in the analysis.
Sufficient data (i.e., a minimum of 100 locations from at least 20 marked Sage-grouse) for modeling existed in 10 subregions
for spring and summer, and seven subregions in winter, using all age and sex classes of marked grouse. It is important to
note that although this map is composed of HSI values derived from the seasonal data, it does not explicitly represent habitat
suitability for reproductive females (i.e., nesting and with broods). Insufficient data were available to allow for estimation
of this habitat type for all seasons throughout the study area extent. A Resource Selection Function (RSF) was calculated
for each subregion using R software (v 3.13) using generalized linear models to derive model-averaged parameter estimates
for each covariate across a set of additive models. Subregional RSFs were transformed into Habitat Suitability Indices, and
averaged together to produce an overall statewide HSI whereby a relative probability of occurrence was calculated for each
raster cell for each season. In order to account for discrepancies in HSI values caused by varying ecoregions within Nevada,
the HSI was divided into north and south extents using a slightly modified flood region boundary (Mason 1999) that was designed
to represent respective mesic and xeric regions of the state. North and south HSI rasters were each relativized according
to their maximum value to rescale between zero and one, then mosaicked once more into a state-wide extent. The three seasonal
HSIs were then multiplied to create a composite annual HSI. REFERENCES: California Forest and Resource Assessment Program.
2006. Statewide Land Use / Land Cover Mosaic. [Geospatial data.] California Department of Forestry and Fire Protection, http://frap.cdf.ca.gov/data/frapgisdata-sw-rangeland-assessment_data.php
Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T.,
Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater
sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern CaliforniaA decision-support tool for management:
U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online) Comer,
P., Kagen, J., Heiner, M., and Tobalske, C. 2002. Current distribution of sagebrush and associated vegetation in the western
United States (excluding NM). [Geospatial data.] Interagency Sagebrush Working Group, http://sagemap.wr.usgs.gov Homer, C.G.,
Aldridge, C.L., Meyer, D.K., and Schell, S.J. 2014. Multi-Scale Remote Sensing Sagebrush Characterization with Regression
Trees over Wyoming, USA; Laying a Foundation for Monitoring. International Journal of Applied Earth Observation and Geoinformation
14, Elsevier, US. LANDFIRE. 2010. 1.2.0 Existing Vegetation Type Layer. [Geospatial data.] U.S. Department of the Interior,
Geological Survey, http://landfire.cr.usgs.gov/viewer/ Mason, R.R. 1999. The National Flood-Frequency ProgramMethods For Estimating
Flood Magnitude And Frequency In Rural Areas In Nevada U.S. Geological Survey Fact Sheet 123-98 September, 1999, Prepared
by Robert R. Mason, Jr. and Kernell G. Ries III, of the U.S. Geological Survey; and Jeffrey N. King and Wilbert O. Thomas,
Jr., of Michael Baker, Jr., Inc. http://pubs.usgs.gov/fs/fs-123-98/ Peterson, E. B. 2008. A Synthesis of Vegetation Maps for
Nevada (Initiating a 'Living' Vegetation Map). Documentation and geospatial data, Nevada Natural Heritage Program,
Carson City, Nevada, http://www.heritage.nv.gov/gis NOTE: This file does not include habitat areas for the Bi-State management
area and the spatial extent is modified in comparison to Coates et al. 2014
Citation
- Title Composite Habitat Suitability Index for Greater Sage-grouse in Nevada and northeastern California.
-
- creation Date
2018-05-21T11:32:34.300517
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- URL: http://dx.doi.org/10.5066/F7CC0XRV
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- URL: http://dx.doi.org/10.3133/ofr20141163
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Metadata data stamp:
2018-08-06T20:53:12Z
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on a transform by Damian Ulbricht. Run on 2018-08-06T20:53:12Z
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