Climate‐biomes, pedo‐biomes or pyro‐biomes: which world view explains the tropical forest–savanna boundary in South America?
Climate‐biomes, pedo‐biomes or pyro‐biomes: which world view explains the tropical forest–savanna boundary in South America?
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气候生物群落、土壤生物群落或火热生物群落:哪种世界观解释了南美洲的热带森林稀树草原边界?
DOI:
10.1111/jbi.13018
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发表时间:
2015
影响因子:
3.9
通讯作者:
Scheiter
中科院分区:
文献类型:
--
作者:
Langan;Higgins;Scheiter
AimIt remains poorly understood why the position of the forest–savanna biome boundary, in a domain defined by precipitation and temperature, differs in South America, Africa and Australia. Process based Dynamic Global Vegetation Models (DGVMs) are a valuable tool to investigate the determinants of vegetation distributions; however, many DGVMs fail to predict the spatial distribution or indeed presence of the South American savanna biome. Evidence suggests that fire plays a significant role in mediating forest–savanna biome boundaries; however, fire alone appears to be insufficient to predict these boundaries in South America. We hypothesize that interactions between precipitation, constraints on tree rooting depth and fire affect the probability of savanna occurrence and the position of the savanna–forest boundary.LocationTropical forest and savanna sites in Brazil and Venezuela north of 23S.MethodsWe tested our hypotheses using a novel DGVM, aDGVM2, which allows plant trait spectra, constrained by trade‐offs between traits, to evolve in response to abiotic and biotic conditions. Plant hydraulics is represented by the cohesion–tension theory, this allowed us to explore how soil and plant hydraulics control biome distributions and plant traits. The resulting community trait distributions are emergent properties of model dynamics.ResultsWe showed that across much of South America the biome state is not determined by climate alone. Interactions between plant rooting depth, fire and precipitation affected the probability of observing a given biome state and the emergent traits of plant communities. Simulations where plant rooting depth varied in space provided the best match to satellite derived biomass estimates and generated biome distributions that reproduced contemporary biome maps well.Main conclusionsOur findings support the contention that areas where multiple vegetation states are possible are widespread and highlight the importance of considering the influence of fire and constraints on plant rooting depth for predicting biome boundaries.
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影响因子:
6.4
作者:
Buitenwerf, Robert;Higgins, Steven I.
通讯作者:
Higgins, Steven I.
影响因子:
3
作者:
M. Cole
通讯作者:
M. Cole
DOI:
--
发表时间:
2016
期刊:
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子:
--
作者:
I. Oliveras;Y. Malhi
通讯作者:
Y. Malhi
影响因子:
2.9
作者:
J. Macedo;R. Bryant
通讯作者:
R. Bryant
DOI:
10.1111/nph.12551
发表时间:
2014-02
期刊:
The New phytologist
影响因子:
--
作者:
Glenn R. Moncrieff;S. Scheiter;W. Bond;S. Higgins
通讯作者:
Glenn R. Moncrieff;S. Scheiter;W. Bond;S. Higgins