Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1016/j.physd.2020.132695 |
| Resolving soil and surface water flux as drivers of pattern formation in Turing models of dryland vegetation: A unified approach | |
| Siero, Eric | |
| 通讯作者 | Siero, E |
| 来源期刊 | PHYSICA D-NONLINEAR PHENOMENA
 |
| ISSN | 0167-2789 |
| EISSN | 1872-8022 |
| 出版年 | 2020 |
| 卷号 | 414 |
| 英文摘要 | Over the past two decades, multi-component dryland vegetation models have been successful in qualitatively reproducing the spatial vegetation patterns widely observed in nature. In the two-component (water, vegetation) Klausmeier model, water flow from bare to vegetated areas drives pattern formation. The more elaborate Rietkerk and Gilad three-component models make a distinction between soil and surface water. In this article the three models are approximated from within a unifying framework, with a focus on processes that drive pattern formation, in order to promote the understanding of similarities and differences between these models. Reduction from a model with a separate soil and surface water component, to a model with a single water component, preserves Turing instability in all but one of the cases studied. (c) 2020 The Author. Published by Elsevier B.V. |
| 英文关键词 | Reaction-diffusion Desertification Self-organization Model comparison Model reduction Minimal model |
| 类型 | Article |
| 语种 | 英语 |
| 开放获取类型 | hybrid |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000579773600006 |
| WOS关键词 | SELF-ORGANIZATION ; REGIME SHIFTS ; INSTABILITIES ; PATCHINESS ; DISCOVERY ; CIRCLES ; SYSTEM |
| WOS类目 | Mathematics, Applied ; Physics, Fluids & Plasmas ; Physics, Multidisciplinary ; Physics, Mathematical |
| WOS研究方向 | Mathematics ; Physics |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/326880 |
| 作者单位 | [Siero, Eric] Carl von Ossietzky Univ Oldenburg, Inst Math, D-26111 Oldenburg, Germany; [Siero, Eric] Univ Utrecht, Dept Earth Sci, NL-3584 CB Utrecht, Netherlands |
| 推荐引用方式 GB/T 7714 | Siero, Eric. Resolving soil and surface water flux as drivers of pattern formation in Turing models of dryland vegetation: A unified approach[J],2020,414. |
| APA | Siero, Eric.(2020).Resolving soil and surface water flux as drivers of pattern formation in Turing models of dryland vegetation: A unified approach.PHYSICA D-NONLINEAR PHENOMENA,414. |
| MLA | Siero, Eric."Resolving soil and surface water flux as drivers of pattern formation in Turing models of dryland vegetation: A unified approach".PHYSICA D-NONLINEAR PHENOMENA 414(2020). |
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