Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests
Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests
复制标题
可变的树木生根策略是模拟热带常绿森林的分布、生产力和蒸散量的关键
作者:
B. Sakschewski;Werner von Bloh;Markus Drüke;A. Sörensson;R. Ruscica;F. Langerwisch;Maik Billing;S. Bereswill;M. Hirota;R. Oliveira;J. Heinke;K. Thonicke
Abstract. A variety of modelling studies have suggested tree rooting depth
as a key variable to explain evapotranspiration rates, productivity and the
geographical distribution of evergreen forests in tropical South America.
However, none of those studies have acknowledged resource investment, timing and
physical constraints of tree rooting depth within a competitive environment,
undermining the ecological realism of their results. Here, we present an
approach of implementing variable rooting strategies and dynamic root growth
into the LPJmL4.0 (Lund-Potsdam-Jena managed Land) dynamic global vegetation model (DGVM) and apply it to tropical and sub-tropical
South America under contemporary climate conditions. We show how competing
rooting strategies which underlie the trade-off between above- and
below-ground carbon investment lead to more realistic simulation of
intra-annual productivity and evapotranspiration and consequently of
forest cover and spatial biomass distribution. We find that climate and soil
depth determine a spatially heterogeneous pattern of mean rooting depth and
below-ground biomass across the study region. Our findings support the
hypothesis that the ability of evergreen trees to adjust their rooting
systems to seasonally dry climates is crucial to explaining the current
dominance, productivity and evapotranspiration of evergreen forests in
tropical South America.
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影响因子:
5.2
作者:
Aragao, Luiz Eduardo O. C.;Malhi, Yadvinder;Shimabukuro, Yosio Edemir
通讯作者:
Shimabukuro, Yosio Edemir
影响因子:
3.9
作者:
Langan;Higgins;Scheiter
通讯作者:
Scheiter
影响因子:
18.3
作者:
Ciemer, Catrin;Boers, Niklas;Winkelmann, Ricarda
通讯作者:
Winkelmann, Ricarda
影响因子:
6.3
作者:
Balsamo, G.;Albergel, C.;Vitart, F.
通讯作者:
Vitart, F.