Structured decision making as a framework for large‐scale wildlife harvest management decisions
Abstract Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structu...
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Online Access: | https://doi.org/10.1002/ecs2.1613 |
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doaj-6cd2fb8c51c541bb8d8b7e332947da942020-11-25T00:04:56ZengWileyEcosphere2150-89252016-12-01712n/an/a10.1002/ecs2.1613Structured decision making as a framework for large‐scale wildlife harvest management decisionsKelly F. Robinson0Angela K. Fuller1Jeremy E. Hurst2Bryan L. Swift3Arthur Kirsch4James Farquhar5Daniel J. Decker6William F. Siemer7New York Cooperative Fish and Wildlife Research Unit Department of Natural Resources Cornell University Ithaca New York 14853 USAU.S. Geological Survey New York Cooperative Fish and Wildlife Research Unit Department of Natural ResourcesCornell University Ithaca New York 14853 USADivision of Fish and Wildlife New York State Department of Environmental Conservation Albany New York 12233 USADivision of Fish and Wildlife New York State Department of Environmental Conservation Albany New York 12233 USADivision of Fish and Wildlife New York State Department of Environmental Conservation Avon New York 14414 USADivision of Fish and Wildlife New York State Department of Environmental Conservation Albany New York 12233 USADepartment of Natural Resources Cornell University Ithaca New York 14853 USADepartment of Natural Resources Cornell University Ithaca New York 14853 USAAbstract Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values‐driven process. This decision‐aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision‐aiding tool for management decision making at large scales. We evaluated alternative white‐tailed deer (Odocoileus virginianus) buck‐harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck‐harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.https://doi.org/10.1002/ecs2.1613decision analysisOdocoileus virginianuspopulation demographicsstructured decision makinguncertaintywhite‐tailed deer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kelly F. Robinson Angela K. Fuller Jeremy E. Hurst Bryan L. Swift Arthur Kirsch James Farquhar Daniel J. Decker William F. Siemer |
spellingShingle |
Kelly F. Robinson Angela K. Fuller Jeremy E. Hurst Bryan L. Swift Arthur Kirsch James Farquhar Daniel J. Decker William F. Siemer Structured decision making as a framework for large‐scale wildlife harvest management decisions Ecosphere decision analysis Odocoileus virginianus population demographics structured decision making uncertainty white‐tailed deer |
author_facet |
Kelly F. Robinson Angela K. Fuller Jeremy E. Hurst Bryan L. Swift Arthur Kirsch James Farquhar Daniel J. Decker William F. Siemer |
author_sort |
Kelly F. Robinson |
title |
Structured decision making as a framework for large‐scale wildlife harvest management decisions |
title_short |
Structured decision making as a framework for large‐scale wildlife harvest management decisions |
title_full |
Structured decision making as a framework for large‐scale wildlife harvest management decisions |
title_fullStr |
Structured decision making as a framework for large‐scale wildlife harvest management decisions |
title_full_unstemmed |
Structured decision making as a framework for large‐scale wildlife harvest management decisions |
title_sort |
structured decision making as a framework for large‐scale wildlife harvest management decisions |
publisher |
Wiley |
series |
Ecosphere |
issn |
2150-8925 |
publishDate |
2016-12-01 |
description |
Abstract Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values‐driven process. This decision‐aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision‐aiding tool for management decision making at large scales. We evaluated alternative white‐tailed deer (Odocoileus virginianus) buck‐harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck‐harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns. |
topic |
decision analysis Odocoileus virginianus population demographics structured decision making uncertainty white‐tailed deer |
url |
https://doi.org/10.1002/ecs2.1613 |
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