Predicting wildlife distribution patterns in New England USA with expert elicitation techniques: Gray fox
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► Metadata Provider
- Forest Ecosystem Monitoring Cooperative
- Address:
705 Spear Street
South Burlington, Vermont 05403
United States of America
Phone: (802) 391-4135
Email: femc@uvm.edu
Website: www.uvm.edu/femc
► Abstract
In this project, we used expert elicitation techniques to develop species distribution models (SDMs) for harvested wildlife species (n = 10) in the New England region of the northeastern United States. We administered an online survey that elicited opinions from wildlife experts on the probability of species occurrence throughout the study region. We collected 3396 probability of occurrence estimates from 46 experts, and used linear mixed-effects methods and landcover variables at multiple spatial extents to develop SDMs. We applied models to rasters (30 × 30 m pixles) of the New England region to map each species’ distribution. Details of the project can be found in the following publication: Pearman-Gillman SB, Katz JE, Mickey R, Murdoch JD, and Donovan TM. 2020. Predicting wildlife distribution patterns in New England USA with expert elicitation techniques. Global Ecology and Conservation 21:e00853. doi:10.1016/j.gecco.2019.e00853
► People
- Terri Donovan: Content Provider
- James Murdoch: Content Provider
- Schuyler Pearman-Gillman: Principal Investigator
- Jon Katz: Content Provider
- Ruth Mickey: Content Provider
► Organizations
- United States Department of Agriculture (USDA) National Institute of Food and Agriculture: funder
- University of Vermont Rubenstein School of Environment and Natural Resources: lead
- Vermont Cooperative Fish and Wildlife Research Unit : partner
► Geographic Coverage
- Coordinates
► Data Table
- Title: Gray fox
- Start Date: 2016-05-01
- Description: This is a raster map of gray fox (Urocyon cinereoargenteus) distribution in the New England region of the northeastern United States. The value of each pixel in the map is an estimate of the species probability of occurrence. Occurrence estimates were calculated from species-specific distribution models fit using expert-opinion data and generalized linear mixed modeling. For details on the collection of expert opinion data, the modeling process, and the development of the distribution maps, please see: Pearman-Gillman, S, J. E. Katz, R. Mickey, J. Murdoch, and T. Donovan. 2020. Predicting wildlife distribution patterns in New England USA with expert elicitation techniques. Global Ecology and Conservation 21:e00853.
- Purpose:
- Condensed Title: 20200421112936_gray_fox_distribution_New_England.tif
- Object Name: VMC.1629.3254
- Data Type: mySQL
- Citation: Pearman-Gillman, S. B., Katz, J. E., Mickey, R. M., Murdoch, J. D., and Donovan, T. M. (2020). Predicting wildlife distribution patterns in New England USA with expert elicitation techniques. Global Ecology and Conservation. 21:e00853. doi: 10.1016/ j.gecco.2019.e00853
- Online Distribution: https://www.uvm.edu/femc/data/archive/project/new_england_wildlife/dataset/gray-fox
► Attribute List
► Methods
- No methods recorded for this dataset
► Sampling Equipment
- No sampling equipment recorded for this dataset
► Site Characteristics
- No site characteristics recorded for this dataset