A tribute to the use of minimalistic spatially-implicit models of savanna vegetation dynamics to address broad spatial scales in spite of scarce data

Q2 Agricultural and Biological Sciences Biomath Pub Date : 2018-12-20 DOI:10.11145/J.BIOMATH.2018.12.167
V. Yatat, Alexis Tamen Tchuinte, Y. Dumont, P. Couteron
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引用次数: 15

Abstract

The savanna biome encompasses a variety of vegetation physiognomies that traduce complex dynamical responses of plants to the rainfall gradients leading from tropical forests to hot deserts. Such responses are shaped by interactions between woody and grassy plants that can be either direct, disturbance-mediated or both. There has been increasing evidence that several vegetation physiognomies, sometimes highly contrasted, may durably coexist under similar rainfall conditions suggesting multi-stability or at least not abrupt transitions. These fascinating questions have triggered burgeoning modelling efforts which have, however, not yet delivered an integrated picture liable to furnish sensible predictions of potential vegetation at broad scales. In this paper, we will recall the key ecological processes and resulting vegetation dynamics that models should take into account. We will also present the main modelling options present in the literature and advocate the use of minimalistic models, capturing only the essential processes while retaining sufficient mathematical tractability and restricting themselves to a minimal set of parameters assessable from the overall literature.
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赞扬在数据稀少的情况下,使用草原植被动力学的极简空间隐式模型来处理广泛的空间尺度
稀树草原生物群落包括各种植被地貌,这些地貌使植物对从热带森林到炎热沙漠的降雨梯度产生复杂的动力反应。这种反应是由木本植物和草本植物之间的相互作用形成的,这种相互作用可以是直接的,也可以是干扰介导的,或者两者兼而有之。越来越多的证据表明,几种植被地貌(有时是高度对比的)可能在类似的降雨条件下持久共存,这表明存在多重稳定性或至少不会发生突变。这些迷人的问题引发了蓬勃发展的建模工作,然而,这些工作还没有提供一个能够在大范围内对潜在植被进行合理预测的综合图像。在本文中,我们将回顾模型应该考虑的关键生态过程和由此产生的植被动力学。我们还将介绍文献中的主要建模选项,并提倡使用极简主义模型,只捕捉基本过程,同时保持足够的数学可处理性,并将其限制在可从整体文献中评估的最小参数集内。
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来源期刊
Biomath
Biomath Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
6
审稿时长
20 weeks
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