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Western Montana Ecological Forecasting: Modeling Habitat Suitability of Mustelid Species to Guide Detection Dog Surveys for Contaminants Monitoring, via Collected Scats in River Systems of Western MontanaEnvironmental contaminants are becoming increasingly prevalent in riverine ecosystems. The status of contaminants in western Montana’s relatively pristine river systems is largely unknown. Monitoring for heavy metals, brominated flame-retardants (BFRs), and pharmaceuticals is important due to their negative effects on ecosystems. Exposure to these contaminants can have significant endocrine, neurological, and reproductive effects. Contaminants easily travel up the food chain and bioaccumulate in apex predators. As predators with a largely aquatic diet, American mink (Mustela vison) and North American river otter (Lontra canadensis) serve as reliable indicator species of environmental health and the status of contaminants. Analysis of scat from these species is a noninvasive method to measure contaminant levels, and detection dogs from Working Dogs for Conservation (WD4C) have been used to locate these scat samples. To aid in the search of these samples, habitat suitability models were created for mink and otter for the years 2013-2020 and projected to 2040 using the random forest algorithm in the Software for Assisted Habitat Modeling (SAHM). Predictor variable data were acquired from Landsat 8 Operational Land Imager (OLI), Terra Moderate Resolution Imaging Spectroradiometer (MODIS), Global Precipitation Measurement Integrated Multi-satellite Retrievals for GPM (GPM IMERG), Shuttle Radar Topography Mission (SRTM), and Soil Moisture Active Passive (SMAP). Within these models, the most important variable for mink and otter habitat was distance to river. Suitable
habitat also corresponded with emergent herbaceous land cover and deeper river locations. These habitat suitability models will inform sampling site section for further contaminant analysis. 
Document ID
20210013845
Acquisition Source
Langley Research Center
Document Type
Other - DEVELOP Spring 2021 Tech Paper
Authors
Anna Winter
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Kergis Hiebert
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Kjirsten Coleman
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Madeleine Gregory
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
April 16, 2021
Publication Date
April 1, 2021
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 970315.02.02.01.01
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
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