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Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems

Reasoning about the factors underlying habitat connectivity and the inter-habitat movement of species is essential to many areas of biological inquiry. In order to better describe and understand the ways in which the landscape may support species movement, an increasing amount of research has focuse...

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Autores principales: Matisziw, Timothy C., Gholamialam, Ashkan, Trauth, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793291/
https://www.ncbi.nlm.nih.gov/pubmed/33370775
http://dx.doi.org/10.1371/journal.pcbi.1008540
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author Matisziw, Timothy C.
Gholamialam, Ashkan
Trauth, Kathleen M.
author_facet Matisziw, Timothy C.
Gholamialam, Ashkan
Trauth, Kathleen M.
author_sort Matisziw, Timothy C.
collection PubMed
description Reasoning about the factors underlying habitat connectivity and the inter-habitat movement of species is essential to many areas of biological inquiry. In order to better describe and understand the ways in which the landscape may support species movement, an increasing amount of research has focused on identification of paths or corridors that may be important in providing connectivity among habitat. The least-cost path problem has proven to be an instrumental analytical tool in this sense. A complicating aspect of such path identification methods is how to best reconcile and integrate the array of criteria or objectives that species may consider in traversal of a landscape. In cases where habitat connectivity is thought to be influenced or guided by multiple objectives, numerous solutions to least-cost path problems can exist, representing tradeoffs between the objectives. In practice though, identification of these solutions can be very challenging and as such, only a small proportion of them are typically examined leading to a weak characterization of habitat connectivity. To address this computational challenge, a multiobjective optimization framework is proposed. A generalizable multiobjective least-cost path model is first detailed. A non-inferior set estimation (MONISE) algorithm for identifying supported efficient solutions to the multiobjective least-cost path model is then described. However, it is well known that unsupported efficient solutions (which are equally important) can also exist, but are typically ignored given that they are more difficult to identify. Thus, to enable the identification of the full set of efficient solutions (supported and unsupported) to the multiobjective model, a multi-criteria labeling algorithm is then proposed. The developed framework is applied to assess different conceptualizations of habitat connectivity supporting amphibian movement in a wetland system. The results highlight the range of tradeoffs in characterizations of connectivity that can exist when multiple objectives are thought to contribute to movement decisions and that the number of unsupported efficient solutions (which are typically ignored) can vastly outweigh that of the supported efficient solutions.
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spelling pubmed-77932912021-01-27 Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems Matisziw, Timothy C. Gholamialam, Ashkan Trauth, Kathleen M. PLoS Comput Biol Research Article Reasoning about the factors underlying habitat connectivity and the inter-habitat movement of species is essential to many areas of biological inquiry. In order to better describe and understand the ways in which the landscape may support species movement, an increasing amount of research has focused on identification of paths or corridors that may be important in providing connectivity among habitat. The least-cost path problem has proven to be an instrumental analytical tool in this sense. A complicating aspect of such path identification methods is how to best reconcile and integrate the array of criteria or objectives that species may consider in traversal of a landscape. In cases where habitat connectivity is thought to be influenced or guided by multiple objectives, numerous solutions to least-cost path problems can exist, representing tradeoffs between the objectives. In practice though, identification of these solutions can be very challenging and as such, only a small proportion of them are typically examined leading to a weak characterization of habitat connectivity. To address this computational challenge, a multiobjective optimization framework is proposed. A generalizable multiobjective least-cost path model is first detailed. A non-inferior set estimation (MONISE) algorithm for identifying supported efficient solutions to the multiobjective least-cost path model is then described. However, it is well known that unsupported efficient solutions (which are equally important) can also exist, but are typically ignored given that they are more difficult to identify. Thus, to enable the identification of the full set of efficient solutions (supported and unsupported) to the multiobjective model, a multi-criteria labeling algorithm is then proposed. The developed framework is applied to assess different conceptualizations of habitat connectivity supporting amphibian movement in a wetland system. The results highlight the range of tradeoffs in characterizations of connectivity that can exist when multiple objectives are thought to contribute to movement decisions and that the number of unsupported efficient solutions (which are typically ignored) can vastly outweigh that of the supported efficient solutions. Public Library of Science 2020-12-28 /pmc/articles/PMC7793291/ /pubmed/33370775 http://dx.doi.org/10.1371/journal.pcbi.1008540 Text en © 2020 Matisziw et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Matisziw, Timothy C.
Gholamialam, Ashkan
Trauth, Kathleen M.
Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title_full Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title_fullStr Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title_full_unstemmed Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title_short Modeling habitat connectivity in support of multiobjective species movement: An application to amphibian habitat systems
title_sort modeling habitat connectivity in support of multiobjective species movement: an application to amphibian habitat systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793291/
https://www.ncbi.nlm.nih.gov/pubmed/33370775
http://dx.doi.org/10.1371/journal.pcbi.1008540
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