Multistability of model and real dryland ecosystems through spatial self-organization
patial self-organization of dryland vegetation constitutes one of the most promising indicators for an ecosystem’s proximity to desertification. This insight is based on studies of reaction–diffusion models that reproduce visual characteristics of vegetation patterns observed on aerial photographs....
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
National Academy of Sciences
2018
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| Acceso en línea: | https://hdl.handle.net/10568/98305 |
| _version_ | 1855522666636640256 |
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| author | Bastiaansen, R. Jaibi, O. Deblauwe, V. Eppinga, M.B. Siteur, K. Siero, E. Mermoz, S. Bouvet, A. Doelman, A. Rietkerk, M. |
| author_browse | Bastiaansen, R. Bouvet, A. Deblauwe, V. Doelman, A. Eppinga, M.B. Jaibi, O. Mermoz, S. Rietkerk, M. Siero, E. Siteur, K. |
| author_facet | Bastiaansen, R. Jaibi, O. Deblauwe, V. Eppinga, M.B. Siteur, K. Siero, E. Mermoz, S. Bouvet, A. Doelman, A. Rietkerk, M. |
| author_sort | Bastiaansen, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | patial self-organization of dryland vegetation constitutes one of the most promising indicators for an ecosystem’s proximity to desertification. This insight is based on studies of reaction–diffusion models that reproduce visual characteristics of vegetation patterns observed on aerial photographs. However, until now, the development of reliable early warning systems has been hampered by the lack of more in-depth comparisons between model predictions and real ecosystem patterns. In this paper, we combined topographical data, (remotely sensed) optical data, and in situ biomass measurements from two sites in Somalia to generate a multilevel description of dryland vegetation patterns. We performed an in-depth comparison between these observed vegetation pattern characteristics and predictions made by the extended-Klausmeier model for dryland vegetation patterning. Consistent with model predictions, we found that for a given topography, there is multistability of ecosystem states with different pattern wavenumbers. Furthermore, observations corroborated model predictions regarding the relationships between pattern wavenumber, total biomass, and maximum biomass. In contrast, model predictions regarding the role of slope angles were not corroborated by the empirical data, suggesting that inclusion of small-scale topographical heterogeneity is a promising avenue for future model development. Our findings suggest that patterned dryland ecosystems may be more resilient to environmental change than previously anticipated, but this enhanced resilience crucially depends on the adaptive capacity of vegetation patterns. |
| format | Journal Article |
| id | CGSpace98305 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | National Academy of Sciences |
| publisherStr | National Academy of Sciences |
| record_format | dspace |
| spelling | CGSpace983052024-10-17T09:47:53Z Multistability of model and real dryland ecosystems through spatial self-organization Bastiaansen, R. Jaibi, O. Deblauwe, V. Eppinga, M.B. Siteur, K. Siero, E. Mermoz, S. Bouvet, A. Doelman, A. Rietkerk, M. vegetation arid zones ecosystems resilience patial self-organization of dryland vegetation constitutes one of the most promising indicators for an ecosystem’s proximity to desertification. This insight is based on studies of reaction–diffusion models that reproduce visual characteristics of vegetation patterns observed on aerial photographs. However, until now, the development of reliable early warning systems has been hampered by the lack of more in-depth comparisons between model predictions and real ecosystem patterns. In this paper, we combined topographical data, (remotely sensed) optical data, and in situ biomass measurements from two sites in Somalia to generate a multilevel description of dryland vegetation patterns. We performed an in-depth comparison between these observed vegetation pattern characteristics and predictions made by the extended-Klausmeier model for dryland vegetation patterning. Consistent with model predictions, we found that for a given topography, there is multistability of ecosystem states with different pattern wavenumbers. Furthermore, observations corroborated model predictions regarding the relationships between pattern wavenumber, total biomass, and maximum biomass. In contrast, model predictions regarding the role of slope angles were not corroborated by the empirical data, suggesting that inclusion of small-scale topographical heterogeneity is a promising avenue for future model development. Our findings suggest that patterned dryland ecosystems may be more resilient to environmental change than previously anticipated, but this enhanced resilience crucially depends on the adaptive capacity of vegetation patterns. 2018-10-30 2018-11-23T15:16:18Z 2018-11-23T15:16:18Z Journal Article https://hdl.handle.net/10568/98305 en Open Access National Academy of Sciences Bastiaansen, R., Jaïbi, O., Deblauwe, V., Eppinga, M.B., Siteur, K., Siero, E., ... & Rietkerk, M. (2018). Multistability of model and real dryland ecosystems through spatial self-organization. Proceedings of the National Academy of Sciences, 1-6. |
| spellingShingle | vegetation arid zones ecosystems resilience Bastiaansen, R. Jaibi, O. Deblauwe, V. Eppinga, M.B. Siteur, K. Siero, E. Mermoz, S. Bouvet, A. Doelman, A. Rietkerk, M. Multistability of model and real dryland ecosystems through spatial self-organization |
| title | Multistability of model and real dryland ecosystems through spatial self-organization |
| title_full | Multistability of model and real dryland ecosystems through spatial self-organization |
| title_fullStr | Multistability of model and real dryland ecosystems through spatial self-organization |
| title_full_unstemmed | Multistability of model and real dryland ecosystems through spatial self-organization |
| title_short | Multistability of model and real dryland ecosystems through spatial self-organization |
| title_sort | multistability of model and real dryland ecosystems through spatial self organization |
| topic | vegetation arid zones ecosystems resilience |
| url | https://hdl.handle.net/10568/98305 |
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