A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning

Identifying new marine protected areas (MPAs) typically requires considering competing priorities from a large range of stakeholders. While balancing socioeconomic losses with biodiversity gains is challenging, it is central to the planning process and will influence the effectiveness of the MPAs to...

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Main Author: Agapito, Melinda T.
Format: Thesis
Language:English
Published: Memorial University of Newfoundland 2016
Subjects:
Online Access:https://research.library.mun.ca/11667/
https://research.library.mun.ca/11667/1/thesis.pdf
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spelling ftmemorialuniv:oai:research.library.mun.ca:11667 2023-10-01T03:57:38+02:00 A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning Agapito, Melinda T. 2016-04 application/pdf https://research.library.mun.ca/11667/ https://research.library.mun.ca/11667/1/thesis.pdf en eng Memorial University of Newfoundland https://research.library.mun.ca/11667/1/thesis.pdf Agapito, Melinda T. <https://research.library.mun.ca/view/creator_az/Agapito=3AMelinda_T=2E=3A=3A.html> (2016) A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning. Doctoral (PhD) thesis, Memorial University of Newfoundland. thesis_license Thesis NonPeerReviewed 2016 ftmemorialuniv 2023-09-03T06:48:25Z Identifying new marine protected areas (MPAs) typically requires considering competing priorities from a large range of stakeholders. While balancing socioeconomic losses with biodiversity gains is challenging, it is central to the planning process and will influence the effectiveness of the MPAs to be created. This paper presents a new decision-support method named Spatial Tier Framework-Ordered Weighted Averaging (STF-OWA) that allows stakeholders to share their values and explore alternative planning scenarios, by varying levels of losses and gains, in a collaborative setting. Unlike methods that aim at finding one optimal solution (e.g. Marxan), the STF-OWA provides stakeholders with alternative planning options based on weights reflecting their priorities among and between biodiversity interests (e.g. corals vs. birds) and socioeconomic interests (e.g. fishing employment vs. fishing dollars). The approach was tested in the Newfoundland and Labrador shelf bioregion, Atlantic Canada (~1.2x106 km²), using scientific survey data on groundfish, seabirds, and habitat-forming invertebrates, commercial fishing logbooks, data on marine transportation, and oil and gas activities. Results show that the STF-OWA can identify easy-to-implement conservation sites (i.e. high biodiversity with low socioeconomic activities), although they represent only <5% of the analyzed area. Subsequently, the STF-OWA demonstrated that identifying >5% of the study area as an MPA often involves hard decision areas (i.e. sites with both high socioeconomic impacts and high biodiversity gains). On making tradeoffs and hard decisions spatially explicit, the STF-OWA: (1) offers various options such as cheap, cost-effective, and expensive scenarios, making the toughest conservation decisions spatially explicit -- namely, tough decisions for and against biodiversity protection and tough decisions for and against socioeconomic protection; (2) allows visualizing multiple competing interests in a solution set that provides empirical evidence ... Thesis Newfoundland Memorial University of Newfoundland: Research Repository Newfoundland Canada Labrador Shelf ENVELOPE(-58.000,-58.000,56.000,56.000)
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collection Memorial University of Newfoundland: Research Repository
op_collection_id ftmemorialuniv
language English
description Identifying new marine protected areas (MPAs) typically requires considering competing priorities from a large range of stakeholders. While balancing socioeconomic losses with biodiversity gains is challenging, it is central to the planning process and will influence the effectiveness of the MPAs to be created. This paper presents a new decision-support method named Spatial Tier Framework-Ordered Weighted Averaging (STF-OWA) that allows stakeholders to share their values and explore alternative planning scenarios, by varying levels of losses and gains, in a collaborative setting. Unlike methods that aim at finding one optimal solution (e.g. Marxan), the STF-OWA provides stakeholders with alternative planning options based on weights reflecting their priorities among and between biodiversity interests (e.g. corals vs. birds) and socioeconomic interests (e.g. fishing employment vs. fishing dollars). The approach was tested in the Newfoundland and Labrador shelf bioregion, Atlantic Canada (~1.2x106 km²), using scientific survey data on groundfish, seabirds, and habitat-forming invertebrates, commercial fishing logbooks, data on marine transportation, and oil and gas activities. Results show that the STF-OWA can identify easy-to-implement conservation sites (i.e. high biodiversity with low socioeconomic activities), although they represent only <5% of the analyzed area. Subsequently, the STF-OWA demonstrated that identifying >5% of the study area as an MPA often involves hard decision areas (i.e. sites with both high socioeconomic impacts and high biodiversity gains). On making tradeoffs and hard decisions spatially explicit, the STF-OWA: (1) offers various options such as cheap, cost-effective, and expensive scenarios, making the toughest conservation decisions spatially explicit -- namely, tough decisions for and against biodiversity protection and tough decisions for and against socioeconomic protection; (2) allows visualizing multiple competing interests in a solution set that provides empirical evidence ...
format Thesis
author Agapito, Melinda T.
spellingShingle Agapito, Melinda T.
A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
author_facet Agapito, Melinda T.
author_sort Agapito, Melinda T.
title A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
title_short A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
title_full A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
title_fullStr A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
title_full_unstemmed A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
title_sort multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning
publisher Memorial University of Newfoundland
publishDate 2016
url https://research.library.mun.ca/11667/
https://research.library.mun.ca/11667/1/thesis.pdf
long_lat ENVELOPE(-58.000,-58.000,56.000,56.000)
geographic Newfoundland
Canada
Labrador Shelf
geographic_facet Newfoundland
Canada
Labrador Shelf
genre Newfoundland
genre_facet Newfoundland
op_relation https://research.library.mun.ca/11667/1/thesis.pdf
Agapito, Melinda T. <https://research.library.mun.ca/view/creator_az/Agapito=3AMelinda_T=2E=3A=3A.html> (2016) A multi-criteria method for making tradeoffs and hard decisions spatially explicit in marine conservation planning. Doctoral (PhD) thesis, Memorial University of Newfoundland.
op_rights thesis_license
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