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On October 22, 2024, 5:09:30 PM UTC,
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Added resource README.pdf.zip to Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications]
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| 11 | C. van de Vijsel - Royal Netherlands Institute for Sea Research - | 11 | C. van de Vijsel - Royal Netherlands Institute for Sea Research - | ||
| 12 | ORCID: 0000-0002-5615-8101 - Corresponding Author - | 12 | ORCID: 0000-0002-5615-8101 - Corresponding Author - | ||
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| 48 | "deposit_date": "2022-09-13", | 48 | "deposit_date": "2022-09-13", | ||
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| 52 | Institute for Sea Research)", | 52 | Institute for Sea Research)", | ||
| 53 | "doi_date_published": "2023-10-05", | 53 | "doi_date_published": "2023-10-05", | ||
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| 87 | "notes": "Spatial patterns are omnipresent in nature1\u20136 and | 87 | "notes": "Spatial patterns are omnipresent in nature1\u20136 and | ||
| 88 | directly affect the functioning and resilience of the (eco)systems in | 88 | directly affect the functioning and resilience of the (eco)systems in | ||
| 89 | which they manifest themselves7\u201313. Scale-dependent feedback, | 89 | which they manifest themselves7\u201313. Scale-dependent feedback, | ||
| 90 | which typically is positive locally and negative further away, | 90 | which typically is positive locally and negative further away, | ||
| 91 | provides a widely accepted explanation for the formation of simple, | 91 | provides a widely accepted explanation for the formation of simple, | ||
| 92 | single-scale patterns3\u20135. However, it is unclear whether the more | 92 | single-scale patterns3\u20135. However, it is unclear whether the more | ||
| 93 | complex, multi-scale patterns that characterize many natural systems | 93 | complex, multi-scale patterns that characterize many natural systems | ||
| 94 | can be explained by equally generic mechanisms. As a model system, we | 94 | can be explained by equally generic mechanisms. As a model system, we | ||
| 95 | here study the tidal channels that characterize coastal wetlands14, as | 95 | here study the tidal channels that characterize coastal wetlands14, as | ||
| 96 | these channels constitute patterns that vary greatly in geometry, | 96 | these channels constitute patterns that vary greatly in geometry, | ||
| 97 | ranging from simple parallel channels9,14\u201316 to complexly | 97 | ranging from simple parallel channels9,14\u201316 to complexly | ||
| 98 | branching networks1,17, with direct consequences for the functioning | 98 | branching networks1,17, with direct consequences for the functioning | ||
| 99 | and resilience of valuable wetland ecosystems. We reveal that one | 99 | and resilience of valuable wetland ecosystems. We reveal that one | ||
| 100 | scale-dependent feedback provides a plausible explanation for the | 100 | scale-dependent feedback provides a plausible explanation for the | ||
| 101 | broad spectrum of geometries typical for tidal channel patterns. This | 101 | broad spectrum of geometries typical for tidal channel patterns. This | ||
| 102 | is a biogeomorphic feedback that roughly follows Turing\u2019s | 102 | is a biogeomorphic feedback that roughly follows Turing\u2019s | ||
| 103 | activator-inhibitor principle4,6 and results from flow deflection and | 103 | activator-inhibitor principle4,6 and results from flow deflection and | ||
| 104 | channel incision around biotically (biofilms, algae, plants) | 104 | channel incision around biotically (biofilms, algae, plants) | ||
| 105 | stabilized sediment9,15,16,18. Using a mathematical model that is | 105 | stabilized sediment9,15,16,18. Using a mathematical model that is | ||
| 106 | supported by field observations, we now show that as the biogeomorphic | 106 | supported by field observations, we now show that as the biogeomorphic | ||
| 107 | feedback gets stronger, complex multi-scale patterns emerge due to | 107 | feedback gets stronger, complex multi-scale patterns emerge due to | ||
| 108 | self-induced recursion of the scale-dependent feedback, which results | 108 | self-induced recursion of the scale-dependent feedback, which results | ||
| 109 | in nesting of regular channel patterns at successively finer scales. | 109 | in nesting of regular channel patterns at successively finer scales. | ||
| 110 | This recursive mechanism provides an explanation for earlier | 110 | This recursive mechanism provides an explanation for earlier | ||
| 111 | observations that vegetation increases network complexity19. Our model | 111 | observations that vegetation increases network complexity19. Our model | ||
| 112 | results further demonstrate how biogeomorphic feedback strength does | 112 | results further demonstrate how biogeomorphic feedback strength does | ||
| 113 | not only increase network complexity, but ecosystem functioning as | 113 | not only increase network complexity, but ecosystem functioning as | ||
| 114 | well (vegetation density, sediment accretion rate and drainage | 114 | well (vegetation density, sediment accretion rate and drainage | ||
| 115 | density). Future field research should confirm our study\u2019s | 115 | density). Future field research should confirm our study\u2019s | ||
| 116 | implications that vegetation-induced self-organization contributes to | 116 | implications that vegetation-induced self-organization contributes to | ||
| 117 | the storm surge buffering capacity20,21 of coastal wetlands and their | 117 | the storm surge buffering capacity20,21 of coastal wetlands and their | ||
| 118 | resilience to flooding22 and sea level rise23, and with that for the | 118 | resilience to flooding22 and sea level rise23, and with that for the | ||
| 119 | potential of these ecosystems to mitigate the effects of global change | 119 | potential of these ecosystems to mitigate the effects of global change | ||
| 120 | that threaten densely populated coastal lowlands worldwide20,24.", | 120 | that threaten densely populated coastal lowlands worldwide20,24.", | ||
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