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Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed
Wetland restoration is an important water quality and climate resilience strategy. Wetland restoration rarely considers tradeoffs at large spatial and temporal scales, which limits capacity to aid decision makers. High resolution data can reveal hundreds to thousands of possible restoration options...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622542/ https://www.ncbi.nlm.nih.gov/pubmed/36208345 http://dx.doi.org/10.1007/s00267-022-01725-5 |
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author | Martin, David M. Jacobs, Amy D. McLean, Chase Canick, Michelle R. Boomer, Kathleen |
author_facet | Martin, David M. Jacobs, Amy D. McLean, Chase Canick, Michelle R. Boomer, Kathleen |
author_sort | Martin, David M. |
collection | PubMed |
description | Wetland restoration is an important water quality and climate resilience strategy. Wetland restoration rarely considers tradeoffs at large spatial and temporal scales, which limits capacity to aid decision makers. High resolution data can reveal hundreds to thousands of possible restoration options across a landscape, but guidance for setting restoration targets at these scales is limited. This study uses structured decision making (SDM) as a process for evaluating the desirability of numerous restoration options, with a case study on the Outer Coastal Plain of the Chesapeake Bay watershed, USA. The Nature Conservancy, in partnership with federal, state, and nonprofit organizations, evaluated a decision to target large-scale wetland restoration based on two fundamental objectives: improve water quality and enhance climate resilience. A total of 964 potentially restorable alternatives were delineated across the study area. The alternatives were evaluated on seven water quality and climate resilience criteria. High-priority alternatives were mapped based on multi-criteria ranking methods and principal component analysis. Sensitivity analysis included varying nutrient load data, implementing multiple ranking methods with different assumptions, and varying criteria weights. The maps revealed seven distinct regions of restoration opportunities. Tradeoffs were evaluated to distinguish between desirable and less desirable regions. Results indicated that three regions were promising choices to initiate landowner engagement and outreach. This study highlights the advantages of SDM to structure large-scale restoration decisions. In doing so, our work offers a roadmap toward further developing SDM in future applied restoration contexts. |
format | Online Article Text |
id | pubmed-9622542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96225422022-11-02 Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed Martin, David M. Jacobs, Amy D. McLean, Chase Canick, Michelle R. Boomer, Kathleen Environ Manage Article Wetland restoration is an important water quality and climate resilience strategy. Wetland restoration rarely considers tradeoffs at large spatial and temporal scales, which limits capacity to aid decision makers. High resolution data can reveal hundreds to thousands of possible restoration options across a landscape, but guidance for setting restoration targets at these scales is limited. This study uses structured decision making (SDM) as a process for evaluating the desirability of numerous restoration options, with a case study on the Outer Coastal Plain of the Chesapeake Bay watershed, USA. The Nature Conservancy, in partnership with federal, state, and nonprofit organizations, evaluated a decision to target large-scale wetland restoration based on two fundamental objectives: improve water quality and enhance climate resilience. A total of 964 potentially restorable alternatives were delineated across the study area. The alternatives were evaluated on seven water quality and climate resilience criteria. High-priority alternatives were mapped based on multi-criteria ranking methods and principal component analysis. Sensitivity analysis included varying nutrient load data, implementing multiple ranking methods with different assumptions, and varying criteria weights. The maps revealed seven distinct regions of restoration opportunities. Tradeoffs were evaluated to distinguish between desirable and less desirable regions. Results indicated that three regions were promising choices to initiate landowner engagement and outreach. This study highlights the advantages of SDM to structure large-scale restoration decisions. In doing so, our work offers a roadmap toward further developing SDM in future applied restoration contexts. Springer US 2022-10-08 2022 /pmc/articles/PMC9622542/ /pubmed/36208345 http://dx.doi.org/10.1007/s00267-022-01725-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Martin, David M. Jacobs, Amy D. McLean, Chase Canick, Michelle R. Boomer, Kathleen Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title | Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title_full | Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title_fullStr | Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title_full_unstemmed | Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title_short | Using Structured Decision Making to Evaluate Wetland Restoration Opportunities in the Chesapeake Bay Watershed |
title_sort | using structured decision making to evaluate wetland restoration opportunities in the chesapeake bay watershed |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622542/ https://www.ncbi.nlm.nih.gov/pubmed/36208345 http://dx.doi.org/10.1007/s00267-022-01725-5 |
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