A framework for modeling adaptive forest management and decision making under climate change
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A framework for modeling adaptive forest management and decision making under climate change. / Yousefpour, Rasoul; Temperli, Christian ; Jacobsen, Jette Bredahl; Thorsen, Bo Jellesmark; Meilby, Henrik; Lexer, Manfred J.; Lindner, Marcus; Bugmann, Harald; Borges, Jose G.; Palma, João H.N. ; Ray, Duncan; Zimmermann, Niklaus E. ; Delzon, Sylvain; Kremer, Antoine; Kramer, Koen; Reyer, Christopher P. O. ; Lasch-Born, Petra ; Garcia-Gonzalo , Jordi ; Hanewinkel, Marc .
In: Ecology and Society, Vol. 22, No. 4, 40, 2017.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A framework for modeling adaptive forest management and decision making under climate change
AU - Yousefpour, Rasoul
AU - Temperli, Christian
AU - Jacobsen, Jette Bredahl
AU - Thorsen, Bo Jellesmark
AU - Meilby, Henrik
AU - Lexer, Manfred J.
AU - Lindner, Marcus
AU - Bugmann, Harald
AU - Borges, Jose G.
AU - Palma, João H.N.
AU - Ray, Duncan
AU - Zimmermann, Niklaus E.
AU - Delzon, Sylvain
AU - Kremer, Antoine
AU - Kramer, Koen
AU - Reyer, Christopher P. O.
AU - Lasch-Born, Petra
AU - Garcia-Gonzalo , Jordi
AU - Hanewinkel, Marc
PY - 2017
Y1 - 2017
N2 - Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future bioclimatic and socioeconomic conditions, and the ways decisions are evaluated and made. We investigate the adaptive management process and develop a framework including these three aspects, thus providing a structured way to analyze the challenges and opportunities of managing forests in the face of climate change. We apply the framework for a range of case studies that differ in the way climate and its impacts are projected to change, the available management options, and how decision makers develop, update, and use their beliefs about climate change scenarios to select among adaptation options, each being optimal for a certain climate change scenario. We describe four stylized types of decision-making processes that differ in how they (1) take into account uncertainty and new information on the state and development of the climate and (2) evaluate alternative management decisions: the “no-change,” the “reactive,” the “trend-adaptive,” and the “forward-looking adaptive” decision-making types. Accordingly, we evaluate the experiences with alternative management strategies and recent publications on using Bayesian optimization methods that account for different simulated learning schemes based on varying knowledge, belief, and information. Finally, our proposed framework for identifying adaptation strategies provides solutions for enhancing forest structure and diversity, biomass and timber production, and reducing climate change-induced damages. They are spatially heterogeneous, reflecting the diversity in growing conditions and socioeconomic settings within Europe.
AB - Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future bioclimatic and socioeconomic conditions, and the ways decisions are evaluated and made. We investigate the adaptive management process and develop a framework including these three aspects, thus providing a structured way to analyze the challenges and opportunities of managing forests in the face of climate change. We apply the framework for a range of case studies that differ in the way climate and its impacts are projected to change, the available management options, and how decision makers develop, update, and use their beliefs about climate change scenarios to select among adaptation options, each being optimal for a certain climate change scenario. We describe four stylized types of decision-making processes that differ in how they (1) take into account uncertainty and new information on the state and development of the climate and (2) evaluate alternative management decisions: the “no-change,” the “reactive,” the “trend-adaptive,” and the “forward-looking adaptive” decision-making types. Accordingly, we evaluate the experiences with alternative management strategies and recent publications on using Bayesian optimization methods that account for different simulated learning schemes based on varying knowledge, belief, and information. Finally, our proposed framework for identifying adaptation strategies provides solutions for enhancing forest structure and diversity, biomass and timber production, and reducing climate change-induced damages. They are spatially heterogeneous, reflecting the diversity in growing conditions and socioeconomic settings within Europe.
U2 - 10.5751/ES-09614-220440
DO - 10.5751/ES-09614-220440
M3 - Journal article
VL - 22
JO - Ecology and Society
JF - Ecology and Society
SN - 1708-3087
IS - 4
M1 - 40
ER -
ID: 188265382