Search Results
Tree mortality submodels drive simulated long-term forest dynamics: assessing 15 models from the stand to global scale
2019, Bugmann, Harald, Seidl, Rupert, Hartig, Florian, Bohn, Friedrich, Bruna, Josef, Cailleret, Maxime, Francois, Louis, Heinke, Jens, Henrot, Alexandra-Jane, Hickler, Thomas, Huelsmann, Lisa, Huth, Andreas, Jacquemin, Ingrid, Kollas, Chris, Lasch-Born, Petra, Lexer, Manfred J., Merganic, Jan, Merganicova, Katarna, Mette, Tobias, Miranda, Brian R., Nadal-Sala, Daniel, Rammer, Werner, Rammig, Anja, Reineking, Bjoern, Roedig, Edna, Sabate, Santi, Steinkamp, Jorg, Suckow, Felicitas, Vacchiano, Giorgio, Wild, Jan, Xu, Chonggang, Reyer, Christopher P.O.
Models are pivotal for assessing future forest dynamics under the impacts of changing climate and management practices, incorporating representations of tree growth, mortality, and regeneration. Quantitative studies on the importance of mortality submodels are scarce. We evaluated 15 dynamic vegetation models (DVMs) regarding their sensitivity to different formulations of tree mortality under different degrees of climate change. The set of models comprised eight DVMs at the stand scale, three at the landscape scale, and four typically applied at the continental to global scale. Some incorporate empirically derived mortality models, and others are based on experimental data, whereas still others are based on theoretical reasoning. Each DVM was run with at least two alternative mortality submodels. Model behavior was evaluated against empirical time series data, and then, the models were subjected to different scenarios of climate change. Most DVMs matched empirical data quite well, irrespective of the mortality submodel that was used. However, mortality submodels that performed in a very similar manner against past data often led to sharply different trajectories of forest dynamics under future climate change. Most DVMs featured high sensitivity to the mortality submodel, with deviations of basal area and stem numbers on the order of 10–40% per century under current climate and 20–170% under climate change. The sensitivity of a given DVM to scenarios of climate change, however, was typically lower by a factor of two to three. We conclude that (1) mortality is one of the most uncertain processes when it comes to assessing forest response to climate change, and (2) more data and a better process understanding of tree mortality are needed to improve the robustness of simulated future forest dynamics. Our study highlights that comparing several alternative mortality formulations in DVMs provides valuable insights into the effects of process uncertainties on simulated future forest dynamics. © 2019 The Authors.
No polarization–Expected Values of Climate Change Impacts among European Forest Professionals and Scientists
2020, Persson, Johannes, Blennow, Kristina, Gonçalves, Luísa, Borys, Alexander, Dutcă, Ioan, Hynynen, Jari, Janeczko, Emilia, Lyubenova, Mariyana, Martel, Simon, Merganic, Jan, Merganičová, Katarína, Peltoniemi, Mikko, Petr, Michal, Reboredo, Fernando H., Vacchiano, Giorgio, Reyer, Christopher P.O.
The role of values in climate-related decision-making is a prominent theme of climate communication research. The present study examines whether forest professionals are more driven by values than scientists are, and if this results in value polarization. A questionnaire was designed to elicit and assess the values assigned to expected effects of climate change by forest professionals and scientists working on forests and climate change in Europe. The countries involved covered a north-to-south and west-to-east gradient across Europe, representing a wide range of bio-climatic conditions and a mix of economic–social–political structures. We show that European forest professionals and scientists do not exhibit polarized expectations about the values of specific impacts of climate change on forests in their countries. In fact, few differences between forest professionals and scientists were found. However, there are interesting differences in the expected values of forest professionals with regard to climate change impacts across European countries. In Northern European countries, the aggregated values of the expected effects are more neutral than they are in Southern Europe, where they are more negative. Expectations about impacts on timber production, economic returns, and regulatory ecosystem services are mostly negative, while expectations about biodiversity and energy production are mostly positive.