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Avian Conservation Areas as a Proxy for Contaminated Soil Remediation

Remediation prioritization frequently falls short of systematically evaluating the underlying ecological value of different sites. This study presents a novel approach to delineating sites that are both contaminated by any of eight heavy metals and have high habitat value to high-priority species. T...

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Autores principales: Lin, Wei-Chih, Lin, Yu-Pin, Anthony, Johnathen, Ding, Tsun-Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515724/
https://www.ncbi.nlm.nih.gov/pubmed/26193297
http://dx.doi.org/10.3390/ijerph120708312
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author Lin, Wei-Chih
Lin, Yu-Pin
Anthony, Johnathen
Ding, Tsun-Su
author_facet Lin, Wei-Chih
Lin, Yu-Pin
Anthony, Johnathen
Ding, Tsun-Su
author_sort Lin, Wei-Chih
collection PubMed
description Remediation prioritization frequently falls short of systematically evaluating the underlying ecological value of different sites. This study presents a novel approach to delineating sites that are both contaminated by any of eight heavy metals and have high habitat value to high-priority species. The conservation priority of each planning site herein was based on the projected distributions of eight protected bird species, simulated using 900 outputs of species distribution models (SDMs) and the subsequent application of a systematic conservation tool. The distributions of heavy metal concentrations were generated using a geostatistical joint-simulation approach. The uncertainties in the heavy metal distributions were quantified in terms of variability among 1000 realization sets. Finally, a novel remediation decision-making approach was presented for delineating contaminated sites in need of remediation based on the spatial uncertainties of multiple realizations and the priorities of conservation areas. The results thus obtained demonstrate that up to 42% of areas of high conservation priority are also contaminated by one or more of the heavy metal contaminants of interest. Moreover, as the proportion of the land for proposed remediated increased, the projected area of the pollution-free habitat also increased. Overall uncertainty, in terms of the false positive contamination rate, also increased. These results indicate that the proposed decision-making approach successfully accounted for the intrinsic trade-offs among a high number of pollution-free habitats, low false positive rates and robustness of expected decision outcomes.
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spelling pubmed-45157242015-07-28 Avian Conservation Areas as a Proxy for Contaminated Soil Remediation Lin, Wei-Chih Lin, Yu-Pin Anthony, Johnathen Ding, Tsun-Su Int J Environ Res Public Health Article Remediation prioritization frequently falls short of systematically evaluating the underlying ecological value of different sites. This study presents a novel approach to delineating sites that are both contaminated by any of eight heavy metals and have high habitat value to high-priority species. The conservation priority of each planning site herein was based on the projected distributions of eight protected bird species, simulated using 900 outputs of species distribution models (SDMs) and the subsequent application of a systematic conservation tool. The distributions of heavy metal concentrations were generated using a geostatistical joint-simulation approach. The uncertainties in the heavy metal distributions were quantified in terms of variability among 1000 realization sets. Finally, a novel remediation decision-making approach was presented for delineating contaminated sites in need of remediation based on the spatial uncertainties of multiple realizations and the priorities of conservation areas. The results thus obtained demonstrate that up to 42% of areas of high conservation priority are also contaminated by one or more of the heavy metal contaminants of interest. Moreover, as the proportion of the land for proposed remediated increased, the projected area of the pollution-free habitat also increased. Overall uncertainty, in terms of the false positive contamination rate, also increased. These results indicate that the proposed decision-making approach successfully accounted for the intrinsic trade-offs among a high number of pollution-free habitats, low false positive rates and robustness of expected decision outcomes. MDPI 2015-07-17 2015-07 /pmc/articles/PMC4515724/ /pubmed/26193297 http://dx.doi.org/10.3390/ijerph120708312 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Wei-Chih
Lin, Yu-Pin
Anthony, Johnathen
Ding, Tsun-Su
Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title_full Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title_fullStr Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title_full_unstemmed Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title_short Avian Conservation Areas as a Proxy for Contaminated Soil Remediation
title_sort avian conservation areas as a proxy for contaminated soil remediation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515724/
https://www.ncbi.nlm.nih.gov/pubmed/26193297
http://dx.doi.org/10.3390/ijerph120708312
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