A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region
Over the past 15 years the endangered eastern timber wolf ( Canis lupus lycaon ) has been slowly recolonizing northern Wisconsin and, more recently, upper Michigan, largely by dispersing from Minnesota (where it is listed as threatened). We have used geographic information systems (GISs) and spatial...
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Online Access: | http://dx.doi.org/10.1046/j.1523-1739.1995.9020279.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1523-1739.1995.9020279.x http://onlinelibrary.wiley.com/wol1/doi/10.1046/j.1523-1739.1995.9020279.x/fullpdf |
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crwiley:10.1046/j.1523-1739.1995.9020279.x 2024-06-23T07:52:01+00:00 A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region Mladenoff, David J. Sickley, Theodore A. Haight, Robert G. Wydeven, Adrian P. 1995 http://dx.doi.org/10.1046/j.1523-1739.1995.9020279.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1523-1739.1995.9020279.x http://onlinelibrary.wiley.com/wol1/doi/10.1046/j.1523-1739.1995.9020279.x/fullpdf en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Conservation Biology volume 9, issue 2, page 279-294 ISSN 0888-8892 1523-1739 journal-article 1995 crwiley https://doi.org/10.1046/j.1523-1739.1995.9020279.x 2024-06-06T04:21:34Z Over the past 15 years the endangered eastern timber wolf ( Canis lupus lycaon ) has been slowly recolonizing northern Wisconsin and, more recently, upper Michigan, largely by dispersing from Minnesota (where it is listed as threatened). We have used geographic information systems (GISs) and spatial radiocollar data on recolonizing wolves in northern Wisconsin to assess the importance of factors in defining favorable wolf habitat. We built a multiple logistic regression model applied to the northern Great Lakes states to estimate the amount and spatial distribution of favorable wolf habitat at the regional landscape scale. Our results suggest that areas with high probability of favorable habitat are more extensive than previously estimated in the northern Great Lake States. Several variables were significant in comparing new pack areas in Wisconsin to nonpack areas, including land ownership class, land cover type, road density, human population, and spatial landscape indices such as fractal dimension (land cover patch boundary complexity), land cover type contagion, landscape diversity, and landscape dominance. Road density and fractal dimension were the most important predictor variables in the logistic regression models. The results indicate that public forest land and private industrial forest land are both important in managing for a broad‐ranging animal such as the wolf. Our data portray favorable habitat that is highly fragmented along development corridors in northern Wisconsin, which may be responsible for the slow growth of the wolf population. Upper Michigan, which is just beginning to be colonized by wolves, has very large, contiguous areas of likely habitat approaching the importance of those in northeastern Minnesota. If continuing development or wolf control restrict dispersing wolves from moving from Minnesota to Wisconsin, and Wisconsin habitat becomes more marginal through further fragmentation, Michigan has the potential to maintain a significant wolf population independent of Minnesota and ... Article in Journal/Newspaper Canis lupus gray wolf Wiley Online Library Conservation Biology 9 2 279 294 |
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Wiley Online Library |
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English |
description |
Over the past 15 years the endangered eastern timber wolf ( Canis lupus lycaon ) has been slowly recolonizing northern Wisconsin and, more recently, upper Michigan, largely by dispersing from Minnesota (where it is listed as threatened). We have used geographic information systems (GISs) and spatial radiocollar data on recolonizing wolves in northern Wisconsin to assess the importance of factors in defining favorable wolf habitat. We built a multiple logistic regression model applied to the northern Great Lakes states to estimate the amount and spatial distribution of favorable wolf habitat at the regional landscape scale. Our results suggest that areas with high probability of favorable habitat are more extensive than previously estimated in the northern Great Lake States. Several variables were significant in comparing new pack areas in Wisconsin to nonpack areas, including land ownership class, land cover type, road density, human population, and spatial landscape indices such as fractal dimension (land cover patch boundary complexity), land cover type contagion, landscape diversity, and landscape dominance. Road density and fractal dimension were the most important predictor variables in the logistic regression models. The results indicate that public forest land and private industrial forest land are both important in managing for a broad‐ranging animal such as the wolf. Our data portray favorable habitat that is highly fragmented along development corridors in northern Wisconsin, which may be responsible for the slow growth of the wolf population. Upper Michigan, which is just beginning to be colonized by wolves, has very large, contiguous areas of likely habitat approaching the importance of those in northeastern Minnesota. If continuing development or wolf control restrict dispersing wolves from moving from Minnesota to Wisconsin, and Wisconsin habitat becomes more marginal through further fragmentation, Michigan has the potential to maintain a significant wolf population independent of Minnesota and ... |
format |
Article in Journal/Newspaper |
author |
Mladenoff, David J. Sickley, Theodore A. Haight, Robert G. Wydeven, Adrian P. |
spellingShingle |
Mladenoff, David J. Sickley, Theodore A. Haight, Robert G. Wydeven, Adrian P. A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
author_facet |
Mladenoff, David J. Sickley, Theodore A. Haight, Robert G. Wydeven, Adrian P. |
author_sort |
Mladenoff, David J. |
title |
A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
title_short |
A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
title_full |
A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
title_fullStr |
A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
title_full_unstemmed |
A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region |
title_sort |
regional landscape analysis and prediction of favorable gray wolf habitat in the northern great lakes region |
publisher |
Wiley |
publishDate |
1995 |
url |
http://dx.doi.org/10.1046/j.1523-1739.1995.9020279.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1523-1739.1995.9020279.x http://onlinelibrary.wiley.com/wol1/doi/10.1046/j.1523-1739.1995.9020279.x/fullpdf |
genre |
Canis lupus gray wolf |
genre_facet |
Canis lupus gray wolf |
op_source |
Conservation Biology volume 9, issue 2, page 279-294 ISSN 0888-8892 1523-1739 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1046/j.1523-1739.1995.9020279.x |
container_title |
Conservation Biology |
container_volume |
9 |
container_issue |
2 |
container_start_page |
279 |
op_container_end_page |
294 |
_version_ |
1802643213483245568 |