Modeling Habitat Quality for American Martens in Western Newfoundland, Canada

The "Den Mother" marten habitat quality models were created to provide insight into American marten habitat selection behavior and to promote the recovery of the Newfoundland marten (Martes americana atrata) population. Although these objectives are typical of most wildlife habitat modelin...

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Main Author: Adair, William A.
Format: Text
Language:unknown
Published: DigitalCommons@USU 2003
Subjects:
Online Access:https://digitalcommons.usu.edu/etd/6589
https://doi.org/10.26076/825e-95c8
https://digitalcommons.usu.edu/context/etd/article/7652/viewcontent/2003_Adair_William.pdf
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spelling ftutahsudc:oai:digitalcommons.usu.edu:etd-7652 2023-09-05T13:11:41+02:00 Modeling Habitat Quality for American Martens in Western Newfoundland, Canada Adair, William A. 2003-05-01T07:00:00Z application/pdf https://digitalcommons.usu.edu/etd/6589 https://doi.org/10.26076/825e-95c8 https://digitalcommons.usu.edu/context/etd/article/7652/viewcontent/2003_Adair_William.pdf unknown DigitalCommons@USU https://digitalcommons.usu.edu/etd/6589 doi:10.26076/825e-95c8 https://digitalcommons.usu.edu/context/etd/article/7652/viewcontent/2003_Adair_William.pdf Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. All Graduate Theses and Dissertations habitat quality American martens selection behavior Den Mother Animal Sciences Environmental Sciences text 2003 ftutahsudc https://doi.org/10.26076/825e-95c8 2023-08-17T17:36:46Z The "Den Mother" marten habitat quality models were created to provide insight into American marten habitat selection behavior and to promote the recovery of the Newfoundland marten (Martes americana atrata) population. Although these objectives are typical of most wildlife habitat modeling projects, the marten's idiosyncratic habitat ecology and apparently intractable conflicts associated with timber harvesting motivated a unique, process-oriented approach to appraising landscapes. The Den Mother models used optimal decision-making principles to synthesize critical resources (den sites and foraging opportunities) and constraints (adverse thermal situations and exposure to predations) into a single hierarchical framework. The resulting spatially explicit, combinatorial optimization models depend on a complex array of interacting assumptions. However, in mechanistic models, explicit assumptions provide the means by which insights are gained. For example, manipulating prey population parameters provided a clear demonstration of how resource conditions confound the relationship between landscape configuration and marten fitness, thereby challenging conventional definitions of habitat based on vegetation alone. Likewise, the models' sensitivity to spatial circumstances argued against the concept of an "optimal landscape," a traditional objective for wildlife habitat analyses. Although the model analyses did not refute the conventional wisdom that marten are strongly associated with (and may depend on) large contiguous blocks of senescing and defoliated forests, they did suggest that the marten is an opening-sensitive, rather than coresensitive, species. The models also suggested new avenues for research addressing marten den site selection, predator avoidance behavior, foraging efficiency, and space use strategies, as well as new techniques for assessing the trade-offs that govern marten habitat selection behavior. Finally, the models also suggested new guidelines for promoting marten recovery in an adaptive ... Text American marten Martes americana Newfoundland Utah State University: DigitalCommons@USU Canada
institution Open Polar
collection Utah State University: DigitalCommons@USU
op_collection_id ftutahsudc
language unknown
topic habitat quality
American martens
selection behavior
Den Mother
Animal Sciences
Environmental Sciences
spellingShingle habitat quality
American martens
selection behavior
Den Mother
Animal Sciences
Environmental Sciences
Adair, William A.
Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
topic_facet habitat quality
American martens
selection behavior
Den Mother
Animal Sciences
Environmental Sciences
description The "Den Mother" marten habitat quality models were created to provide insight into American marten habitat selection behavior and to promote the recovery of the Newfoundland marten (Martes americana atrata) population. Although these objectives are typical of most wildlife habitat modeling projects, the marten's idiosyncratic habitat ecology and apparently intractable conflicts associated with timber harvesting motivated a unique, process-oriented approach to appraising landscapes. The Den Mother models used optimal decision-making principles to synthesize critical resources (den sites and foraging opportunities) and constraints (adverse thermal situations and exposure to predations) into a single hierarchical framework. The resulting spatially explicit, combinatorial optimization models depend on a complex array of interacting assumptions. However, in mechanistic models, explicit assumptions provide the means by which insights are gained. For example, manipulating prey population parameters provided a clear demonstration of how resource conditions confound the relationship between landscape configuration and marten fitness, thereby challenging conventional definitions of habitat based on vegetation alone. Likewise, the models' sensitivity to spatial circumstances argued against the concept of an "optimal landscape," a traditional objective for wildlife habitat analyses. Although the model analyses did not refute the conventional wisdom that marten are strongly associated with (and may depend on) large contiguous blocks of senescing and defoliated forests, they did suggest that the marten is an opening-sensitive, rather than coresensitive, species. The models also suggested new avenues for research addressing marten den site selection, predator avoidance behavior, foraging efficiency, and space use strategies, as well as new techniques for assessing the trade-offs that govern marten habitat selection behavior. Finally, the models also suggested new guidelines for promoting marten recovery in an adaptive ...
format Text
author Adair, William A.
author_facet Adair, William A.
author_sort Adair, William A.
title Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
title_short Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
title_full Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
title_fullStr Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
title_full_unstemmed Modeling Habitat Quality for American Martens in Western Newfoundland, Canada
title_sort modeling habitat quality for american martens in western newfoundland, canada
publisher DigitalCommons@USU
publishDate 2003
url https://digitalcommons.usu.edu/etd/6589
https://doi.org/10.26076/825e-95c8
https://digitalcommons.usu.edu/context/etd/article/7652/viewcontent/2003_Adair_William.pdf
geographic Canada
geographic_facet Canada
genre American marten
Martes americana
Newfoundland
genre_facet American marten
Martes americana
Newfoundland
op_source All Graduate Theses and Dissertations
op_relation https://digitalcommons.usu.edu/etd/6589
doi:10.26076/825e-95c8
https://digitalcommons.usu.edu/context/etd/article/7652/viewcontent/2003_Adair_William.pdf
op_rights Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu.
op_doi https://doi.org/10.26076/825e-95c8
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