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A local optimization framework for addressing conservation conflicts in mosaic ecosystems

An effective strategy to resolve conservation conflicts on lands outside of nature reserves is to consider the spatial arrangement of agricultural and native vegetation parcels such that the ecological value of the landscape is improved without reducing the amount of land used for agricultural produ...

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Detalles Bibliográficos
Autores principales: Nowack, Shane, Bauch, Chris T., Anand, Madhur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544304/
https://www.ncbi.nlm.nih.gov/pubmed/31150510
http://dx.doi.org/10.1371/journal.pone.0217812
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author Nowack, Shane
Bauch, Chris T.
Anand, Madhur
author_facet Nowack, Shane
Bauch, Chris T.
Anand, Madhur
author_sort Nowack, Shane
collection PubMed
description An effective strategy to resolve conservation conflicts on lands outside of nature reserves is to consider the spatial arrangement of agricultural and native vegetation parcels such that the ecological value of the landscape is improved without reducing the amount of land used for agricultural production. Global optimization methods have been used to identify the best spatial arrangement of land parcels for a given project goal, but these methods are not designed to provide pathways to reach the optimum from the initial landscape. Here we describe how local search algorithms can be used to develop land parcel rearrangement pathways to obtain a landscape that sustains greater species richness than the initial landscape without changing the amount of land used for agricultural production. To demonstrate how the local optimization framework can be applied, an ecological setting based on a forest-grassland mosaic ecosystem in Rio Grande do Sul, Brazil was constructed. Plant samples collected from this region were used to construct species area curves. Multiple locally optimal solutions that improved the modeled species richness of the landscape almost to globally optimal levels were identified. To support the results, the algorithm was also applied to a 306,250 ha forest-grassland region of Rio Grande do Sul. The case study results suggested that conservation polices solely based on landowners satisfying a legal reserve percentage on their property should be revised to consider landscape-level connectivity. Providing multiple possible solutions for landscape configurations using local optimization methods may improve managerial flexibility for decision-makers, compared to global optimization approaches providing a single solution. Furthermore, the algorithm details the parcel exchange pathways that are required to reach the optimal land state. We conclude that local and global optimization approaches can be used in combination to improve land use decision-making for conservation, in mosaic ecosystems as well as other terrestrial ecosystems.
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spelling pubmed-65443042019-06-17 A local optimization framework for addressing conservation conflicts in mosaic ecosystems Nowack, Shane Bauch, Chris T. Anand, Madhur PLoS One Research Article An effective strategy to resolve conservation conflicts on lands outside of nature reserves is to consider the spatial arrangement of agricultural and native vegetation parcels such that the ecological value of the landscape is improved without reducing the amount of land used for agricultural production. Global optimization methods have been used to identify the best spatial arrangement of land parcels for a given project goal, but these methods are not designed to provide pathways to reach the optimum from the initial landscape. Here we describe how local search algorithms can be used to develop land parcel rearrangement pathways to obtain a landscape that sustains greater species richness than the initial landscape without changing the amount of land used for agricultural production. To demonstrate how the local optimization framework can be applied, an ecological setting based on a forest-grassland mosaic ecosystem in Rio Grande do Sul, Brazil was constructed. Plant samples collected from this region were used to construct species area curves. Multiple locally optimal solutions that improved the modeled species richness of the landscape almost to globally optimal levels were identified. To support the results, the algorithm was also applied to a 306,250 ha forest-grassland region of Rio Grande do Sul. The case study results suggested that conservation polices solely based on landowners satisfying a legal reserve percentage on their property should be revised to consider landscape-level connectivity. Providing multiple possible solutions for landscape configurations using local optimization methods may improve managerial flexibility for decision-makers, compared to global optimization approaches providing a single solution. Furthermore, the algorithm details the parcel exchange pathways that are required to reach the optimal land state. We conclude that local and global optimization approaches can be used in combination to improve land use decision-making for conservation, in mosaic ecosystems as well as other terrestrial ecosystems. Public Library of Science 2019-05-31 /pmc/articles/PMC6544304/ /pubmed/31150510 http://dx.doi.org/10.1371/journal.pone.0217812 Text en © 2019 Nowack 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
Nowack, Shane
Bauch, Chris T.
Anand, Madhur
A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title_full A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title_fullStr A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title_full_unstemmed A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title_short A local optimization framework for addressing conservation conflicts in mosaic ecosystems
title_sort local optimization framework for addressing conservation conflicts in mosaic ecosystems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544304/
https://www.ncbi.nlm.nih.gov/pubmed/31150510
http://dx.doi.org/10.1371/journal.pone.0217812
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