Data from: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA
	Dataset DOI: 10.7923/9CFT-9G84

Dataset published to support the following peer-reviewed manuscript:
	Title: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA
	Journal: Journal of Environmental Management
	Manuscript DOI: https://doi.org/10.1016/j.jenvman.2020.111720 

Data use:
	License: CC-BY 4.0 - https://creativecommons.org/licenses/by/4.0/
	Recommended Citation: Fremgen-Tarantino, M. R., Olsoy, P., Frye, G. G., Connelly, J. W., Krakauer, A. H., Patricelli, G. L., Child, A. W., & Sorensen Forbey, J. (2022). Data from: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA [Data set]. University of Idaho. https://doi.org/10.7923/9CFT-9G84
	
Dataset file structure:
	accuraccy_by_radius:
		4sites_GAP_es_accuracybyradius.csv
		4sites_Lfcommunity_accuracybyra.csv
		4sites_LFspecies_accuracybyradi.csv
		AccuracyByRadius.R
		readme.txt
	confusion_matrices:
		confusion_matrices_2022.03.24.xlsx
		readme.txt
	gap_landfire_extracted_data:
		Field_GAP_LANDFIRE_LandCover.csv
		Figures_Height_and Cover.xlsx
		Vegetation_Cover_and_Height.csv
		readme.txt
		LANDFIRE_Height_Cover_Patches:
			All_Datums.csv
			NAD83_11N_Extract.csv
			NADCONUS27_11N.csv			
			WGS84_11N_Extract.csv
			WGS84_12N_Extract.csv
			WGS84_12N.csv
			WGS84_LatLong_Extract.csv
			readme.txt
	master_data:
		All_ActualOutput.csv
		All_BySpecies(Big_Dwarf).csv
		All_GAP_Data.csv
		GF1.csv
		GF2.csv
		GF3.csv
		MF1.csv
		MF2.csv
		readme.txt

Resource URL: https://data.nkn.uidaho.edu/dataset/data-assessing-accuracy-gap-and-landfire-land-cover-datasets-winter-habitats-used-greater

Creator(s):
	1. Marcella R. Fremgen-Tarantino
		ORCiD: NULL
		Affiliation: Boise State University
	2. Peter J. Olsoy
		ORCiD: https://orcid.org/0000-0002-8785-0459
		Affiliation: Boise State University
	3. Graham G. Frye
		ORCiD:
		Affiliation: University of Alaska Fairbanks
	4. John W. Connelly
		ORCiD:
		Affiliation: Idaho Department of Fish and Game
	5. Alan H. Krakauer
		ORCiD:
		Affiliation: University of California Davis
	6. Gail L. Patricelli
		ORCiD:
		Affiliation: University of California Davis
	7. Andrew Wright Child
		ORCiD: https://orcid.org/0000-0001-6666-0739
		Affiliation: University of Idaho
	8. Jennifer Sorensen Forbey
		ORCiD: https://orcid.org/0000-0001-6069-4049
		Affiliation: Boise State University

Other Contributor(s): NA

Title(s): Data from: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA

Description:
	Remotely sensed land cover datasets have been increasingly employed in studies of wildlife habitat use. However, meaningful interpretation of these datasets is dependent on how accurately they estimate habitat features that are important to wildlife. We evaluated the accuracy of the GAP dataset, which is commonly used to classify broad cover categories (e.g., vegetation communities) and LANDFIRE datasets, which are classify narrower cover categories (e.g., plant species) and structural features of vegetation.  To evaluate accuracy, we compared classification of cover types and estimates of percent cover and height of sagebrush (Artemisia spp.) derived from GAP and LANDFIRE datasets to field-collected data in winter habitats used by greater sage-grouse (Centrocercus urophasianus). Accuracy was dependent on the type of dataset used as well as the spatial scale (point, 100-m, 1-km and 5-km) and biological level (community versus dominant species) investigated. GAP datasets had the highest overall classification accuracy of broad sagebrush cover types (46.1%) compared to LANDFIRE datasets for narrower cover types (43.8% community-level; 42.6% species-level). Percent cover and height were not accurately estimated in the LANDFIRE dataset. Our results suggest that researchers must be cautious when applying GAP or LANDFIRE datasets to classify narrow categories of land cover types or to predict percent cover or height of sagebrush within sagebrush-dominated landscapes. We conclude that ground-truthing is critical for successful application of land cover datasets in landscape-scale evaluations and management planning, particularly when wildlife use relatively rare habitat types compared to what is available.

Publisher: University of Idaho

Publication Year: 2022

Language(s): American English

Subject(s):
	1. Natural Sciences
		1.5 Earth and related Environmental sciences 
		1.6 Biological science 
	2. Engineering and Technology
		2.7 Environmental engineering

Keywords/Tags: Gap analysis program (GAP); Habitat classification; LANDFIRE; Sagebrush (Artemisia spp.); Centrocercus sp

Resource Type General: Dataset
		
Dates: NA

Date available for the public: 2022-03-24

Sizes: 41MB
 
Format(s): csv, txt, xlsx, r	
 
Version: NULL

Funding References: 
	Idaho Department of Fish and Game-Pittman-Robertson funds
	US National Science Foundation Award: IOS-1258217 
	US National Science Foundation Award: DEB-1146194
	US National Science Foundation Award: DEB-1540085
	Bureau of Land Management grant #L09AC16253
	Sigma Xi Grants-In-Aid
	USDA Hatch funds (Project #CA-D-EVE-2264-H)
	US National Science Foundation Award: OIA-1757324 (Idaho EPSCoR)
	US National Science Foundation Award: OIA-1826801 (Idaho EPSCoR)
	 
Spatial/Geographical Coverage Location: 
	Location-Idaho and Wyoming USA
	Geographic bounding box
		N: 43.5
		S: 42
		E: -108.5
		W: -117
 
Temporal Coverage: 2011 to 2015
 
License: CC-BY 4.0
	https://creativecommons.org/licenses/by/4.0/
 
Granularity of the Data: NULL
 
Contact Info:
	Contact Name: Jennifer Forbey
	Contact Email: jenniferforbey@boisestate.edu
 
Related Content:   
	https://doi.org/10.1016/j.jenvman.2020.111720-Peer reviewed manuscript-Journal of environmental management
	USGS, 2014. National Gap Analysis Program (GAP) Land Cover. U.S. Department of Inerior. http://gapanalysis.usgs.gov/gapland cover/data/download/
	USGS, 2015. LANDFIRE Vegetation Data. U.S. Department of the Interior. http://www.landfire.gov/.	