Sensitivity of dryland vegetation patterns to storm characteristics
Sensitivity of dryland vegetation patterns to storm characteristics
复制标题
旱地植被格局对风暴特征的敏感性
DOI:
10.1002/eco.2269
复制
发表时间:
2021
期刊:
影响因子:
2.6
通讯作者:
Crompton, Octavia
Thompson
中科院分区:
文献类型:
--
作者:
Crompton, Octavia
Thompson
Ecohydrological phenomena are o ften multiscale in nature, with behavioTur that emerges from the interaction of tightly coupled systems having characteristic timescales that differ by orders of magnitude. Models address these differences using timescale separation methods, where each system is held in psuedo‐steady state while the other evolves. When the computational demands of solving the ‘fast’ system are large, this strategy can become numerically intractable. Here, we use emulation modelling to accelerate the simulation of a computationally intensive ‘fast’ system: overland flow. We focus on dryland ecosystems in which storms generate overland flow, on timescales of 101 − 2s. In these ecosystems, overland flow delivers crucial water inputs to vegetation, which grows and disperses ‘slowly’, on timescales of 107 − 9s. Emulation allows for a physically realistic treatment of flow, advancing on phenomenological descriptions used in previous studies. Resolving the within‐storm processes reveals novel dynamics, including new transition pathways from patchy vegetation to desertification, that are specifically controlled by storm processes.
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