Li Y, Guan K, Gentine P, Konings AG, Meinzer FC, Kimball JS, Xu X, Anderegg WRL, McDowell NG, Martinez-Vilalta J, et al. Estimating global ecosystem isohydry/anisohydry using active and passive microwave satellite data. Journal of Geophysical Research: Biogeosciences. 2017 :122.
Publisher's Version
li_et_al-2017-journal_of_geophysical_research_biogeosciences.pdf Fisher RA, Koven CD, Anderegg WRL, Christoffersen BO, Dietze MC, Farrior CE, Holm JA, Hurtt GC, Knox RG, Lawrence PJ, et al. Vegetation demographics in Earth System Models: A review of progress and priorities. Global Change Biology. 2017.
Publisher's Version
vegetation_demographics_in_earth_system_models.pdf Pereira FF, Farinosi F, Arias ME, Lee E, Moorcroft PR.
A hydrological routing scheme for the Ecosystem Demography model (ED2+R). Hydrology and Earth System Sciences. 2017;(21) :4629-4648.
Publisher's Version
pereira_et_al_2017.pdf Xu X, Medvigy D, Wright SJ, Kitajima K, Wu J, Albert LP, Martins GA, Saleska SR, Pacala SW.
Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model. Ecology Letters. 2017.
Publisher's VersionAbstract
Leaf longevity (LL) varies more than 20-fold in tropical evergreen forests, but it remains unclear how to capture these variations using predictive models. Current theories of LL that are based on carbon optimisation principles are challenging to quantitatively assess because of uncertainty across species in the ‘ageing rate:’ the rate at which leaf photosynthetic capacity declines with age. Here, we present a meta-analysis of 49 species across temperate and tropical biomes, demonstrating that the ageing rate of photosynthetic capacity is positively correlated with the mass-based carboxylation rate of mature leaves. We assess an improved trait-driven carbon optimality model with in situ LL data for 105 species in two Panamanian forests. We show that our model explains over 40% of the cross-species variation in LL under contrasting light environment. Collectively, our results reveal how variation in LL emerges from carbon optimisation constrained by both leaf structural traits and abiotic environment.