Katharina Albrich1,2, Werner Rammer1,2, Monica G Turner3, Zak Ratajczak3, Kristin H Braziunas3, Winslow D Hansen4, Rupert Seidl1,2. 1. Institute of Silviculture University of Natural Resources and Life Sciences (BOKU) Vienna Wien Austria. 2. Ecosystem Dynamics and Forest Management Group Technical University of Munich Freising Germany. 3. Department of Integrative Biology University of Wisconsin-Madison Madison Wisconsin USA. 4. Earth Institute Columbia University New York City New York USA.
Abstract
AIM: Simulation models are important tools for quantifying the resilience (i.e., persistence under changed environmental conditions) of forest ecosystems to global change. We synthesized the modelling literature on forest resilience, summarizing common models and applications in resilience research, and scrutinizing the implementation of important resilience mechanisms in these models. Models applied to assess resilience are highly diverse, and our goal was to assess how well they account for important resilience mechanisms identified in experimental and empirical research. LOCATION: Global. TIME PERIOD: 1994 to 2019. MAJOR TAXA STUDIED: Trees. METHODS: We reviewed the forest resilience literature using online databases, selecting 119 simulation modelling studies for further analysis. We identified a set of resilience mechanisms from the general resilience literature and analysed models for their representation of these mechanisms. Analyses were grouped by investigated drivers (resilience to what) and responses (resilience of what), as well as by the type of model being used. RESULTS: Models used to study forest resilience varied widely, from analytical approaches to complex landscape simulators. The most commonly addressed questions were associated with resilience of forest cover to fire. Important resilience mechanisms pertaining to regeneration, soil processes, and disturbance legacies were explicitly simulated in only 34 to 46% of the model applications. MAIN CONCLUSIONS: We found a large gap between processes identified as underpinning forest resilience in the theoretical and empirical literature, and those represented in models used to assess forest resilience. Contemporary forest models developed for other goals may be poorly suited for studying forest resilience during an era of accelerating change. Our results highlight the need for a new wave of model development to enhance understanding of and management for resilient forests.
AIM: Simulation models are important tools for quantifying the resilience (i.e., persistence under changed environmental conditions) of forest ecosystems to global change. We synthesized the modelling literature on forest resilience, summarizing common models and applications in resilience research, and scrutinizing the implementation of important resilience mechanisms in these models. Models applied to assess resilience are highly diverse, and our goal was to assess how well they account for important resilience mechanisms identified in experimental and empirical research. LOCATION: Global. TIME PERIOD: 1994 to 2019. MAJOR TAXA STUDIED: Trees. METHODS: We reviewed the forest resilience literature using online databases, selecting 119 simulation modelling studies for further analysis. We identified a set of resilience mechanisms from the general resilience literature and analysed models for their representation of these mechanisms. Analyses were grouped by investigated drivers (resilience to what) and responses (resilience of what), as well as by the type of model being used. RESULTS: Models used to study forest resilience varied widely, from analytical approaches to complex landscape simulators. The most commonly addressed questions were associated with resilience of forest cover to fire. Important resilience mechanisms pertaining to regeneration, soil processes, and disturbance legacies were explicitly simulated in only 34 to 46% of the model applications. MAIN CONCLUSIONS: We found a large gap between processes identified as underpinning forest resilience in the theoretical and empirical literature, and those represented in models used to assess forest resilience. Contemporary forest models developed for other goals may be poorly suited for studying forest resilience during an era of accelerating change. Our results highlight the need for a new wave of model development to enhance understanding of and management for resilient forests.
Authors: Anja Rammig; Tim Jupp; Kirsten Thonicke; Britta Tietjen; Jens Heinke; Sebastian Ostberg; Wolfgang Lucht; Wolfgang Cramer; Peter Cox Journal: New Phytol Date: 2010-06-09 Impact factor: 10.151
Authors: Volker Grimm; Eloy Revilla; Uta Berger; Florian Jeltsch; Wolf M Mooij; Steven F Railsback; Hans-Hermann Thulke; Jacob Weiner; Thorsten Wiegand; Donald L DeAngelis Journal: Science Date: 2005-11-11 Impact factor: 47.728
Authors: Nate G McDowell; Rosie A Fisher; Chonggang Xu; J C Domec; Teemu Hölttä; D Scott Mackay; John S Sperry; Amanda Boutz; Lee Dickman; Nathan Gehres; Jean Marc Limousin; Alison Macalady; Jordi Martínez-Vilalta; Maurizio Mencuccini; Jennifer A Plaut; Jérôme Ogée; Robert E Pangle; Daniel P Rasse; Michael G Ryan; Sanna Sevanto; Richard H Waring; A Park Williams; Enrico A Yepez; William T Pockman Journal: New Phytol Date: 2013-09-05 Impact factor: 10.151