1. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models
- Author
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Stephan A. Pietsch, Åke Brännström, Trevor F. Keenan, Aliénor Lavergne, Sandy P. Harrison, Youngryel Ryu, Oskar Franklin, Stefano Manzoni, Ulf Dieckmann, Nicholas G. Smith, Wolfgang Cramer, Iain Colin Prentice, Karin T. Rebel, Benjamin D. Stocker, Catherine Morfopoulos, Jaideep Joshi, Han Wang, Josep Peñuelas, Hugo J. de Boer, Giulia Mengoli, Ian J. Wright, School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading (UOR), Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), International Institute for Applied Systems Analysis (IIASA), Ecosystems Services and Management, Schlossplatz 1, A-2361 Laxenburg, Austria, Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Department of Life Sciences, Imperial College London, Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia, Department of Mathematics and Mathematical Statistics, Umeå University, 901 87 Umeå, Sweden, Copernicus Institute of Sustainable Development, Environmental Sciences, Faculty of Geosciences, Utrecht University, Vening Meinesz building, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands, Department of Evolutionary Studies of Biosystems, The Graduate University for Advanced Studies (Sokendai), Hayama, Kanagawa 240-0193, Japan, Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA, Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA 94720, USA, Department of Physics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK, Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, SE-106 91, Stockholm, Sweden, Spanish National Research Council (CSIC), CREAF, Cerdanyola del Valles, 08193 Barcelona, Catalonia, Spain, University of Natural Resources and Life Sciences (BOKU), Dept. Landscape Architecture and Rural Systems Engineering, Department of Landscape Architecture and Rural Systems Engineering, Seoul National University [Seoul] (SNU)-Seoul National University [Seoul] (SNU), Department of Biological Sciences, Texas Tech University, 2901 Main Street, Lubbock, TX 79409, USA, Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland, Commission of the European Communities, Swedish University of Agricultural Sciences (SLU), Imperial College London, University of California [Berkeley] (UC Berkeley), University of California (UC), Stockholm University, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Global Ecohydrology and Sustainability, and Environmental Sciences
- Subjects
0106 biological sciences ,010504 meteorology & atmospheric sciences ,Eco evolutionary ,Environmental change ,Physiology ,Plant Science ,acclimation ,TRAIT VARIATION ,01 natural sciences ,CARBON-DIOXIDE ,water and carbon trade-offs ,stomatal behaviour ,TROPICAL MOIST FORESTS ,Water cycle ,CLIMATE-CHANGE ,Environmental resource management ,Vegetation ,Biological Sciences ,Plants ,[SDE]Environmental Sciences ,ISOPRENE EMISSIONS ,Life Sciences & Biomedicine ,WATER-USE EFFICIENCY ,Process (engineering) ,Climate Change ,STOMATAL CONDUCTANCE ,Plant Biology & Botany ,land-surface model ,PLANT FUNCTIONAL TYPES ,07 Agricultural and Veterinary Sciences ,Production (economics) ,Ecosystem ,Plant Physiological Phenomena ,0105 earth and related environmental sciences ,Science & Technology ,Agricultural and Veterinary Sciences ,QUANTUM YIELD ,plant functional ecology ,business.industry ,leaf economics spectrum ,Plant Sciences ,eco-evolutionary optimality ,Plant community ,15. Life on land ,06 Biological Sciences ,Plant Leaves ,global vegetation model ,13. Climate action ,Environmental science ,business ,ELEVATED CO2 ,010606 plant biology & botany - Abstract
International audience; Global vegetation and land-surface models embody interdisciplinary scientific understanding of the behaviour of plants and ecosystems, and are indispensable to project the impacts of environmental change on vegetation and the interactions between vegetation and climate. However, systematic errors and persistently large differences among carbon and water cycle projections by different models highlight the limitations of current process formulations. In this review, focusing on core plant functions in the terrestrial carbon and water cycles, we show how unifying hypotheses derived from eco-evolutionary optimality (EEO) principles can provide novel, parameter-sparse representations of plant and vegetation processes. We present case studiesthat demonstrate how EEO generate parsimonious representations of core, leaf-level processes that are individually testable and supported by evidence. EEO approaches to photosynthesis and primary production, dark respiration, and stomatal behaviour are ripe for implementation in global models. EEO approaches to other important traits, including the leaf economics spectrum and applications of EEO at the community level are active research areas. Independently tested modules emerging from EEO studies could profitably be integrated into modelling frameworks that account for the multiple time scales on which plants and plant communities adjust toenvironmental change.
- Published
- 2021