Modeling fence location and density at a regional scale for use in wildlife management.

Barbed and woven wire fences, common structures across western North America, act as impediments to wildlife movements. In particular, fencing influences pronghorn (Antilocapra americana) daily and seasonal movements, as well as modifying habitat selection. Because of fencing's impacts to prong...

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Autores principales:	Erin E Poor, Andrew Jakes, Colby Loucks, Mike Suitor
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d0ee2b3978e47c38c52668b735cee13
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spelling	oai:doaj.org-article:7d0ee2b3978e47c38c52668b735cee132021-11-18T08:38:38ZModeling fence location and density at a regional scale for use in wildlife management.1932-620310.1371/journal.pone.0083912https://doaj.org/article/7d0ee2b3978e47c38c52668b735cee132014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416180/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Barbed and woven wire fences, common structures across western North America, act as impediments to wildlife movements. In particular, fencing influences pronghorn (Antilocapra americana) daily and seasonal movements, as well as modifying habitat selection. Because of fencing's impacts to pronghorn and other wildlife, it is a potentially important factor in both wildlife movement and habitat selection models. At this time, no geospatial fencing data is available at regional scales. Consequently, we constructed a regional fence model using a series of land tenure assumptions for the Hi-Line region of northern Montana--an area consisting of 13 counties over 103,400 km(2). Randomized 3.2 km long transects (n = 738) on both paved and unpaved roads were driven to collect information on habitat, fence densities and fence type. Using GIS, we constructed a fence location and a density model incorporating ownership, size, neighboring parcels, township boundaries and roads. Local knowledge of land ownership and land use assisted in improving the final models. We predict there is greater than 263,300 km of fencing in the Hi-Line region, with a maximum density of 6.8 km of fencing per km(2) and mean density of 2.4 km of fencing per km(2). Using field data to assess model accuracy, Cohen's Kappa was measured at 0.40. On-the-ground fence modification or removal could be prioritized by identifying high fence densities in critical wildlife areas such as pronghorn migratory pathways or sage grouse lekking habitat. Such novel fence data can assist wildlife and land managers to assess effects of anthropogenic features to wildlife at various scales; which in turn may help conserve declining grassland species and overall ecological functionality.Erin E PoorAndrew JakesColby LoucksMike SuitorPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e83912 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Erin E Poor Andrew Jakes Colby Loucks Mike Suitor Modeling fence location and density at a regional scale for use in wildlife management.
description	Barbed and woven wire fences, common structures across western North America, act as impediments to wildlife movements. In particular, fencing influences pronghorn (Antilocapra americana) daily and seasonal movements, as well as modifying habitat selection. Because of fencing's impacts to pronghorn and other wildlife, it is a potentially important factor in both wildlife movement and habitat selection models. At this time, no geospatial fencing data is available at regional scales. Consequently, we constructed a regional fence model using a series of land tenure assumptions for the Hi-Line region of northern Montana--an area consisting of 13 counties over 103,400 km(2). Randomized 3.2 km long transects (n = 738) on both paved and unpaved roads were driven to collect information on habitat, fence densities and fence type. Using GIS, we constructed a fence location and a density model incorporating ownership, size, neighboring parcels, township boundaries and roads. Local knowledge of land ownership and land use assisted in improving the final models. We predict there is greater than 263,300 km of fencing in the Hi-Line region, with a maximum density of 6.8 km of fencing per km(2) and mean density of 2.4 km of fencing per km(2). Using field data to assess model accuracy, Cohen's Kappa was measured at 0.40. On-the-ground fence modification or removal could be prioritized by identifying high fence densities in critical wildlife areas such as pronghorn migratory pathways or sage grouse lekking habitat. Such novel fence data can assist wildlife and land managers to assess effects of anthropogenic features to wildlife at various scales; which in turn may help conserve declining grassland species and overall ecological functionality.
format	article
author	Erin E Poor Andrew Jakes Colby Loucks Mike Suitor
author_facet	Erin E Poor Andrew Jakes Colby Loucks Mike Suitor
author_sort	Erin E Poor
title	Modeling fence location and density at a regional scale for use in wildlife management.
title_short	Modeling fence location and density at a regional scale for use in wildlife management.
title_full	Modeling fence location and density at a regional scale for use in wildlife management.
title_fullStr	Modeling fence location and density at a regional scale for use in wildlife management.
title_full_unstemmed	Modeling fence location and density at a regional scale for use in wildlife management.
title_sort	modeling fence location and density at a regional scale for use in wildlife management.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/7d0ee2b3978e47c38c52668b735cee13
work_keys_str_mv	AT erinepoor modelingfencelocationanddensityataregionalscaleforuseinwildlifemanagement AT andrewjakes modelingfencelocationanddensityataregionalscaleforuseinwildlifemanagement AT colbyloucks modelingfencelocationanddensityataregionalscaleforuseinwildlifemanagement AT mikesuitor modelingfencelocationanddensityataregionalscaleforuseinwildlifemanagement
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Modeling fence location and density at a regional scale for use in wildlife management.

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