Combining Structured Decision Making and Value-of-Information Analyses to Identify Robust Management Strategies
Structured decision making and value-of-information analyses can be used to identify robust management strategies even when uncertainty about the response of the system to management is high. We used these methods in a case study of management of the non-native invasive species gray sallow willow (S...
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Veröffentlicht in: | Conservation biology 2012-10, Vol.26 (5), p.810-820 |
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description | Structured decision making and value-of-information analyses can be used to identify robust management strategies even when uncertainty about the response of the system to management is high. We used these methods in a case study of management of the non-native invasive species gray sallow willow (Salix cinerea) in alpine Australia. Establishment of this species is facilitated by wildfire. Managers are charged with developing a management strategy despite extensive uncertainty regarding the frequency of fires, the willow's demography, and the effectiveness of management actions. We worked with managers in Victoria to conduct a formal decision analysis. We used a dynamic model to identify the best management strategy for a range of budgets. We evaluated the robustness of the strategies to uncertainty with value-of-information analyses. Results of the value-of-information analysis indicated that reducing uncertainty would not change which management strategy was identified as the best unless budgets increased substantially. This outcome suggests there would be little value in implementing adaptive management for the problem we analyzed. The value-of-information analyses also highlighted that the main driver of gray sallow willow invasion (i.e., fire frequency) is not necessarily the same factor that is most important for decision making (i.e., willow seed dispersal distance). Value of-information analyses enables managers to better target monitoring and research efforts toward factors critical to making the decision and to assess the need for adaptive management. La toma de decisiones estructurada y el análisis del valor de la información pueden ser utilizados para identificar estrategias de manejo robustas aun cuando la incertidumbre sobre la respuesta del sistema al manejo es alta. Utilizamos estos métodos en un estudio de caso del manejo de la especie exótica invasora Salix cinerea en Australia alpina. El establecimiento de esta especie fue facilitada por incendios. Los manejadores son responsables del desarrollo de una estrategia de manejo no obstante la gran incertidumbre relacionada con la frecuencia de incendios, la demografía de S. cinerea y la efectividad de las acciones de manejo. Trabajamos con manejadores en Victoria para llevar a cabo un análisis de decisiones formal. Utilizamos un modelo dinámico para identificar la mejor estrategia para una gama de presupuestos. Evaluamos la robustez de las estrategias a la incertidumbre con análisis del valor |
doi_str_mv | 10.1111/j.1523-1739.2012.01907.x |
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We used these methods in a case study of management of the non-native invasive species gray sallow willow (Salix cinerea) in alpine Australia. Establishment of this species is facilitated by wildfire. Managers are charged with developing a management strategy despite extensive uncertainty regarding the frequency of fires, the willow's demography, and the effectiveness of management actions. We worked with managers in Victoria to conduct a formal decision analysis. We used a dynamic model to identify the best management strategy for a range of budgets. We evaluated the robustness of the strategies to uncertainty with value-of-information analyses. Results of the value-of-information analysis indicated that reducing uncertainty would not change which management strategy was identified as the best unless budgets increased substantially. This outcome suggests there would be little value in implementing adaptive management for the problem we analyzed. The value-of-information analyses also highlighted that the main driver of gray sallow willow invasion (i.e., fire frequency) is not necessarily the same factor that is most important for decision making (i.e., willow seed dispersal distance). Value of-information analyses enables managers to better target monitoring and research efforts toward factors critical to making the decision and to assess the need for adaptive management. La toma de decisiones estructurada y el análisis del valor de la información pueden ser utilizados para identificar estrategias de manejo robustas aun cuando la incertidumbre sobre la respuesta del sistema al manejo es alta. Utilizamos estos métodos en un estudio de caso del manejo de la especie exótica invasora Salix cinerea en Australia alpina. El establecimiento de esta especie fue facilitada por incendios. Los manejadores son responsables del desarrollo de una estrategia de manejo no obstante la gran incertidumbre relacionada con la frecuencia de incendios, la demografía de S. cinerea y la efectividad de las acciones de manejo. Trabajamos con manejadores en Victoria para llevar a cabo un análisis de decisiones formal. Utilizamos un modelo dinámico para identificar la mejor estrategia para una gama de presupuestos. Evaluamos la robustez de las estrategias a la incertidumbre con análisis del valor de la información. Los resultados del análisis del valor de la información indicaron que la reducción de la incertidumbre no cambiaría la estrategia de manejo identificada como la mejor a menos que los presupuestos incrementaran sustancialmente. Este resultado sugiere que la implementación de manejo adaptativo tendría poco valor para el problema que analizamos. El análisis del valor de la información también destacó que el factor principal de la invasión de S. cinerea (i.e., frecuencia de incendios) no necesariamente es el mismo factor más importante para la toma de decisiones (i.e., distancia de dispersión de semillas). El análisis del valor de información posibilita a los manejadores a realizar un mejor monitoreo y esfuerzos de investigación enfocada a factores críticos para la toma de decisiones y para evaluar la necesidad de implementar manejo adaptativo.</description><identifier>ISSN: 0888-8892</identifier><identifier>EISSN: 1523-1739</identifier><identifier>DOI: 10.1111/j.1523-1739.2012.01907.x</identifier><identifier>PMID: 22862796</identifier><identifier>CODEN: CBIOEF</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>adaptive management ; Agricultural management ; Animal, plant and microbial ecology ; Applied ecology ; Biological and medical sciences ; Bogs ; Budget allocation ; Conservation biology ; Conservation of Natural Resources - economics ; Conservation of Natural Resources - methods ; Conservation, protection and management of environment and wildlife ; Decision Making ; decision model ; Decision Support Techniques ; Ecosystem ; especies exóticas invasoras ; Expected values ; Fires ; Fisheries management ; Fundamental and applied biological sciences. Psychology ; General aspects ; gray sallow willow ; Information value ; Introduced Species ; manejo adaptativo ; modelo de decisiones ; Models, Biological ; non-native invasive species ; Parks, reserves, wildlife conservation. Endangered species: population survey and restocking ; Population Dynamics ; Salix - physiology ; Salix cinerea ; Sustainable water management ; Uncertainty ; Victoria ; Water management ; Wildlife management</subject><ispartof>Conservation biology, 2012-10, Vol.26 (5), p.810-820</ispartof><rights>2012 Society for Conservation Biology</rights><rights>2015 INIST-CNRS</rights><rights>2012 Society for Conservation Biology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4607-c279e402a9f603eb0d352fc7884dcda7cccb0411270eb1ac704067f0514a6c073</citedby><cites>FETCH-LOGICAL-c4607-c279e402a9f603eb0d352fc7884dcda7cccb0411270eb1ac704067f0514a6c073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/23255334$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/23255334$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,1416,27922,27923,58015,58248</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26390324$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22862796$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>MOORE, JOSLIN L.</creatorcontrib><creatorcontrib>RUNGE, MICHAEL C.</creatorcontrib><title>Combining Structured Decision Making and Value-of-Information Analyses to Identify Robust Management Strategies</title><title>Conservation biology</title><addtitle>Conserv Biol</addtitle><description>Structured decision making and value-of-information analyses can be used to identify robust management strategies even when uncertainty about the response of the system to management is high. We used these methods in a case study of management of the non-native invasive species gray sallow willow (Salix cinerea) in alpine Australia. Establishment of this species is facilitated by wildfire. Managers are charged with developing a management strategy despite extensive uncertainty regarding the frequency of fires, the willow's demography, and the effectiveness of management actions. We worked with managers in Victoria to conduct a formal decision analysis. We used a dynamic model to identify the best management strategy for a range of budgets. We evaluated the robustness of the strategies to uncertainty with value-of-information analyses. Results of the value-of-information analysis indicated that reducing uncertainty would not change which management strategy was identified as the best unless budgets increased substantially. This outcome suggests there would be little value in implementing adaptive management for the problem we analyzed. The value-of-information analyses also highlighted that the main driver of gray sallow willow invasion (i.e., fire frequency) is not necessarily the same factor that is most important for decision making (i.e., willow seed dispersal distance). Value of-information analyses enables managers to better target monitoring and research efforts toward factors critical to making the decision and to assess the need for adaptive management. La toma de decisiones estructurada y el análisis del valor de la información pueden ser utilizados para identificar estrategias de manejo robustas aun cuando la incertidumbre sobre la respuesta del sistema al manejo es alta. Utilizamos estos métodos en un estudio de caso del manejo de la especie exótica invasora Salix cinerea en Australia alpina. El establecimiento de esta especie fue facilitada por incendios. Los manejadores son responsables del desarrollo de una estrategia de manejo no obstante la gran incertidumbre relacionada con la frecuencia de incendios, la demografía de S. cinerea y la efectividad de las acciones de manejo. Trabajamos con manejadores en Victoria para llevar a cabo un análisis de decisiones formal. Utilizamos un modelo dinámico para identificar la mejor estrategia para una gama de presupuestos. Evaluamos la robustez de las estrategias a la incertidumbre con análisis del valor de la información. Los resultados del análisis del valor de la información indicaron que la reducción de la incertidumbre no cambiaría la estrategia de manejo identificada como la mejor a menos que los presupuestos incrementaran sustancialmente. Este resultado sugiere que la implementación de manejo adaptativo tendría poco valor para el problema que analizamos. El análisis del valor de la información también destacó que el factor principal de la invasión de S. cinerea (i.e., frecuencia de incendios) no necesariamente es el mismo factor más importante para la toma de decisiones (i.e., distancia de dispersión de semillas). El análisis del valor de información posibilita a los manejadores a realizar un mejor monitoreo y esfuerzos de investigación enfocada a factores críticos para la toma de decisiones y para evaluar la necesidad de implementar manejo adaptativo.</description><subject>adaptive management</subject><subject>Agricultural management</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Bogs</subject><subject>Budget allocation</subject><subject>Conservation biology</subject><subject>Conservation of Natural Resources - economics</subject><subject>Conservation of Natural Resources - methods</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Decision Making</subject><subject>decision model</subject><subject>Decision Support Techniques</subject><subject>Ecosystem</subject><subject>especies exóticas invasoras</subject><subject>Expected values</subject><subject>Fires</subject><subject>Fisheries management</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>gray sallow willow</subject><subject>Information value</subject><subject>Introduced Species</subject><subject>manejo adaptativo</subject><subject>modelo de decisiones</subject><subject>Models, Biological</subject><subject>non-native invasive species</subject><subject>Parks, reserves, wildlife conservation. Endangered species: population survey and restocking</subject><subject>Population Dynamics</subject><subject>Salix - physiology</subject><subject>Salix cinerea</subject><subject>Sustainable water management</subject><subject>Uncertainty</subject><subject>Victoria</subject><subject>Water management</subject><subject>Wildlife management</subject><issn>0888-8892</issn><issn>1523-1739</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkF1v0zAYhS0EYmXwE0C5QdpNwms7sZMbpK2wrqIwie87y3GcKl1iD9sR7b_HIaW7xTe2fJ5zXvsglGDIcFxvdhkuCE0xp1VGAJMMcAU82z9Ci5PwGC2gLMu0LCtyhp55vwOAqsD5U3RGSMkIr9gC2aUd6s50Zpt8CW5UYXS6Sd5p1fnOmuSjvJskaZrku-xHndo2XZvWukGGSb80sj947ZNgk3WjTejaQ_LZ1qMP0WvkVg_xcoqWQW877Z-jJ63svX5x3M_Rt-v3X5c36eZ2tV5eblKVM-Cpiq_TORBZtQyorqGhBWkVL8u8UY3kSqkacowJB11jqTjkwHgL8XuSKeD0HF3MuffO_hq1D2LovNJ9L422oxfRyhjJcQkRLWdUOeu90624d90g3UFgEFPdYiemVsXUqpjqFn_rFvtofXWcMtaDbk7Gf_1G4PURkF7JvnXSxGYfOEYroCSP3NuZ-931-vDfDxDL26v1dIwBL-eAnQ_WPQygpCgonQaks975oPcnXbo7wTjlhfjxaSWuyOrnh-sNFjf0D26btL0</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>MOORE, JOSLIN L.</creator><creator>RUNGE, MICHAEL C.</creator><general>Blackwell Publishing Inc</general><general>Wiley-Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201210</creationdate><title>Combining Structured Decision Making and Value-of-Information Analyses to Identify Robust Management Strategies</title><author>MOORE, JOSLIN L. ; RUNGE, MICHAEL C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4607-c279e402a9f603eb0d352fc7884dcda7cccb0411270eb1ac704067f0514a6c073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>adaptive management</topic><topic>Agricultural management</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Bogs</topic><topic>Budget allocation</topic><topic>Conservation biology</topic><topic>Conservation of Natural Resources - economics</topic><topic>Conservation of Natural Resources - methods</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Decision Making</topic><topic>decision model</topic><topic>Decision Support Techniques</topic><topic>Ecosystem</topic><topic>especies exóticas invasoras</topic><topic>Expected values</topic><topic>Fires</topic><topic>Fisheries management</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>gray sallow willow</topic><topic>Information value</topic><topic>Introduced Species</topic><topic>manejo adaptativo</topic><topic>modelo de decisiones</topic><topic>Models, Biological</topic><topic>non-native invasive species</topic><topic>Parks, reserves, wildlife conservation. Endangered species: population survey and restocking</topic><topic>Population Dynamics</topic><topic>Salix - physiology</topic><topic>Salix cinerea</topic><topic>Sustainable water management</topic><topic>Uncertainty</topic><topic>Victoria</topic><topic>Water management</topic><topic>Wildlife management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MOORE, JOSLIN L.</creatorcontrib><creatorcontrib>RUNGE, MICHAEL C.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Conservation biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MOORE, JOSLIN L.</au><au>RUNGE, MICHAEL C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining Structured Decision Making and Value-of-Information Analyses to Identify Robust Management Strategies</atitle><jtitle>Conservation biology</jtitle><addtitle>Conserv Biol</addtitle><date>2012-10</date><risdate>2012</risdate><volume>26</volume><issue>5</issue><spage>810</spage><epage>820</epage><pages>810-820</pages><issn>0888-8892</issn><eissn>1523-1739</eissn><coden>CBIOEF</coden><abstract>Structured decision making and value-of-information analyses can be used to identify robust management strategies even when uncertainty about the response of the system to management is high. We used these methods in a case study of management of the non-native invasive species gray sallow willow (Salix cinerea) in alpine Australia. Establishment of this species is facilitated by wildfire. Managers are charged with developing a management strategy despite extensive uncertainty regarding the frequency of fires, the willow's demography, and the effectiveness of management actions. We worked with managers in Victoria to conduct a formal decision analysis. We used a dynamic model to identify the best management strategy for a range of budgets. We evaluated the robustness of the strategies to uncertainty with value-of-information analyses. Results of the value-of-information analysis indicated that reducing uncertainty would not change which management strategy was identified as the best unless budgets increased substantially. This outcome suggests there would be little value in implementing adaptive management for the problem we analyzed. The value-of-information analyses also highlighted that the main driver of gray sallow willow invasion (i.e., fire frequency) is not necessarily the same factor that is most important for decision making (i.e., willow seed dispersal distance). Value of-information analyses enables managers to better target monitoring and research efforts toward factors critical to making the decision and to assess the need for adaptive management. La toma de decisiones estructurada y el análisis del valor de la información pueden ser utilizados para identificar estrategias de manejo robustas aun cuando la incertidumbre sobre la respuesta del sistema al manejo es alta. Utilizamos estos métodos en un estudio de caso del manejo de la especie exótica invasora Salix cinerea en Australia alpina. El establecimiento de esta especie fue facilitada por incendios. Los manejadores son responsables del desarrollo de una estrategia de manejo no obstante la gran incertidumbre relacionada con la frecuencia de incendios, la demografía de S. cinerea y la efectividad de las acciones de manejo. Trabajamos con manejadores en Victoria para llevar a cabo un análisis de decisiones formal. Utilizamos un modelo dinámico para identificar la mejor estrategia para una gama de presupuestos. Evaluamos la robustez de las estrategias a la incertidumbre con análisis del valor de la información. Los resultados del análisis del valor de la información indicaron que la reducción de la incertidumbre no cambiaría la estrategia de manejo identificada como la mejor a menos que los presupuestos incrementaran sustancialmente. Este resultado sugiere que la implementación de manejo adaptativo tendría poco valor para el problema que analizamos. El análisis del valor de la información también destacó que el factor principal de la invasión de S. cinerea (i.e., frecuencia de incendios) no necesariamente es el mismo factor más importante para la toma de decisiones (i.e., distancia de dispersión de semillas). El análisis del valor de información posibilita a los manejadores a realizar un mejor monitoreo y esfuerzos de investigación enfocada a factores críticos para la toma de decisiones y para evaluar la necesidad de implementar manejo adaptativo.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>22862796</pmid><doi>10.1111/j.1523-1739.2012.01907.x</doi><tpages>11</tpages></addata></record> |
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subjects | adaptive management Agricultural management Animal, plant and microbial ecology Applied ecology Biological and medical sciences Bogs Budget allocation Conservation biology Conservation of Natural Resources - economics Conservation of Natural Resources - methods Conservation, protection and management of environment and wildlife Decision Making decision model Decision Support Techniques Ecosystem especies exóticas invasoras Expected values Fires Fisheries management Fundamental and applied biological sciences. Psychology General aspects gray sallow willow Information value Introduced Species manejo adaptativo modelo de decisiones Models, Biological non-native invasive species Parks, reserves, wildlife conservation. Endangered species: population survey and restocking Population Dynamics Salix - physiology Salix cinerea Sustainable water management Uncertainty Victoria Water management Wildlife management |
title | Combining Structured Decision Making and Value-of-Information Analyses to Identify Robust Management Strategies |
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