Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models

17271 9 94424 3 274899 document 94424 nph.17558.pdf application/pdf 4c5f89af60d3932cd25dec8e80709a39 MD5 26478336 2021-06-17 12:15:43 https://pure.iiasa.ac.at/id/eprint/17271/1/nph.17558.pdf 17271 1 1 application/pdf text en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/94424 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/94424 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/94424 archive 353 disk0/00/01/72/71 2021-06-17 12:19:34 2022-06-17 03:00:20 2021-06-17 12:19:34 article show 1 Harrison S.P. Cramer W. Franklin O. 1791 0000-0002-0376-4140 Prentice I.C. Wang H. Brännström Å. 8085 de Boer H. Dieckmann U. 1668 0000-0001-7089-0393 Joshi J. 8895 Keenan T.F. Lavergne A. Manzoni S. Mengoli G. Morfopoulos C. Peñuelas J. Pietsch S. 2054 0000-0001-6431-2212 Rebel K.T. Ryu Y. Smith N.G. Stocker B.D. Wright I.J. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models pub ASA EM SYRR BNR AFE 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 studies that 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 to environmental change. 2021-09 published Wiley-Blackwell 10.1111/nph.17558 95 39 66 3189 232 public New Phytologist 231 6 2125-2141 TRUE 1469-8137 FALSE no info:eu-repo/semantics/article