BibTex format
@article{Harrison:2021:10.1111/nph.17558,
author = {Harrison, SP and Cramer, W and Franklin, O and Prentice, IC and Wang, H and Brännström, Å and de, Boer H and Dieckmann, U and Joshi, J and Keenan, TF and Lavergne, A and Manzoni, S and Mengoli, G and Morfopoulos, C and Peñuelas, J and Pietsch, S and Rebel, KT and Ryu, Y and Smith, NG and Stocker, BD and Wright, IJ},
doi = {10.1111/nph.17558},
journal = {New Phytologist},
pages = {2125--2141},
title = {Ecoevolutionary optimality as a means to improve vegetation and landsurface models},
url = {http://dx.doi.org/10.1111/nph.17558},
volume = {231},
year = {2021}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - <jats:title>Summary</jats:title><jats:p>Global vegetation and landsurface 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 ecoevolutionary optimality (EEO) principles can provide novel, parametersparse representations of plant and vegetation processes. We present case studies that demonstrate how EEO generates parsimonious representations of core, leaflevel 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.</jats:p>
AU - Harrison,SP
AU - Cramer,W
AU - Franklin,O
AU - Prentice,IC
AU - Wang,H
AU - Brännström,Å
AU - de,Boer H
AU - Dieckmann,U
AU - Joshi,J
AU - Keenan,TF
AU - Lavergne,A
AU - Manzoni,S
AU - Mengoli,G
AU - Morfopoulos,C
AU - Peñuelas,J
AU - Pietsch,S
AU - Rebel,KT
AU - Ryu,Y
AU - Smith,NG
AU - Stocker,BD
AU - Wright,IJ
DO - 10.1111/nph.17558
EP - 2141
PY - 2021///
SN - 0028-646X
SP - 2125
TI - Ecoevolutionary optimality as a means to improve vegetation and landsurface models
T2 - New Phytologist
UR - http://dx.doi.org/10.1111/nph.17558
UR - http://hdl.handle.net/10044/1/90033
VL - 231
ER -