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Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes

Four criteria are generally used to prioritize agricultural lands for placing conservation buffers. The criteria include soil erodibility, hydrological sensitivity, wildlife habitat, and impervious surface rate that capture conservation buffers’ benefits in reducing soil erosion, controlling runoff...

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Detalles Bibliográficos
Autores principales: Qiu, Zeyuan, Dosskey, Michael G., Kang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865647/
https://www.ncbi.nlm.nih.gov/pubmed/27222843
http://dx.doi.org/10.1016/j.dib.2016.04.006
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author Qiu, Zeyuan
Dosskey, Michael G.
Kang, Yang
author_facet Qiu, Zeyuan
Dosskey, Michael G.
Kang, Yang
author_sort Qiu, Zeyuan
collection PubMed
description Four criteria are generally used to prioritize agricultural lands for placing conservation buffers. The criteria include soil erodibility, hydrological sensitivity, wildlife habitat, and impervious surface rate that capture conservation buffers’ benefits in reducing soil erosion, controlling runoff generation, enhancing wildlife habitat, and mitigating stormwater impacts, respectively. This article describes the data used to derive the values of those attributes and a scheme to classify the values in multi-criteria analysis of conservation buffer placement in “Choosing between alternative placement strategies for conservation buffers using borda count” [1].
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spelling pubmed-48656472016-05-24 Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes Qiu, Zeyuan Dosskey, Michael G. Kang, Yang Data Brief Data Article Four criteria are generally used to prioritize agricultural lands for placing conservation buffers. The criteria include soil erodibility, hydrological sensitivity, wildlife habitat, and impervious surface rate that capture conservation buffers’ benefits in reducing soil erosion, controlling runoff generation, enhancing wildlife habitat, and mitigating stormwater impacts, respectively. This article describes the data used to derive the values of those attributes and a scheme to classify the values in multi-criteria analysis of conservation buffer placement in “Choosing between alternative placement strategies for conservation buffers using borda count” [1]. Elsevier 2016-04-08 /pmc/articles/PMC4865647/ /pubmed/27222843 http://dx.doi.org/10.1016/j.dib.2016.04.006 Text en © 2016 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Qiu, Zeyuan
Dosskey, Michael G.
Kang, Yang
Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title_full Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title_fullStr Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title_full_unstemmed Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title_short Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
title_sort data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865647/
https://www.ncbi.nlm.nih.gov/pubmed/27222843
http://dx.doi.org/10.1016/j.dib.2016.04.006
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