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Changed title to Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications] (previously Vegetation controls on channel network complexity in coastal wetlands - Dataset)

Updated description of Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications] from
This is the full dataset that supports the findings of the following manuscript: van de Vijsel, R.C., van Belzen, J., Bouma, T.J., van der Wal, D., Borsje, B.W., Temmerman, S., Cornacchia, L., Gourgue, O., van de Koppel, J. (2023, Nature Communications). Vegetation controls on channel network complexity in coastal wetlands. This dataset is archived and publicly available via https://doi.org/10.25850/nioz/7b.b.cd. The model (SFERE v1.0) introduced and used in this study is available via GitHub (https://github.com/RCvandeVijsel/SFERE) and Zenodo (https://doi.org/10.5281/zenodo.8411955).
to
Spatial patterns are omnipresent in nature1–6 and directly affect the functioning and resilience of the (eco)systems in which they manifest themselves7–13. Scale-dependent feedback, which typically is positive locally and negative further away, provides a widely accepted explanation for the formation of simple, single-scale patterns3–5. However, it is unclear whether the more complex, multi-scale patterns that characterize many natural systems can be explained by equally generic mechanisms. As a model system, we here study the tidal channels that characterize coastal wetlands14, as these channels constitute patterns that vary greatly in geometry, ranging from simple parallel channels9,14–16 to complexly branching networks1,17, with direct consequences for the functioning and resilience of valuable wetland ecosystems. We reveal that one scale-dependent feedback provides a plausible explanation for the broad spectrum of geometries typical for tidal channel patterns. This is a biogeomorphic feedback that roughly follows Turing’s activator-inhibitor principle4,6 and results from flow deflection and channel incision around biotically (biofilms, algae, plants) stabilized sediment9,15,16,18. Using a mathematical model that is supported by field observations, we now show that as the biogeomorphic feedback gets stronger, complex multi-scale patterns emerge due to self-induced recursion of the scale-dependent feedback, which results in nesting of regular channel patterns at successively finer scales. This recursive mechanism provides an explanation for earlier observations that vegetation increases network complexity19. Our model results further demonstrate how biogeomorphic feedback strength does not only increase network complexity, but ecosystem functioning as well (vegetation density, sediment accretion rate and drainage density). Future field research should confirm our study’s implications that vegetation-induced self-organization contributes to the storm surge buffering capacity20,21 of coastal wetlands and their resilience to flooding22 and sea level rise23, and with that for the potential of these ecosystems to mitigate the effects of global change that threaten densely populated coastal lowlands worldwide20,24.

Removed the following tags from Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications]
- Nature Communications.
- The dataset supporting the findings in the following manuscript van de Vijsel et al. 2023

Added the following tags to Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications]

Changed the source URL of Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications] from https://dataportal.nioz.nl/doi/10.33591/nioz/7b.b.cd to https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.cd

Changed the version of Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications] to 1 (previously 4)

Changed value of field dataset_persistent_id to DOI:10.25850/nioz/7b.b.cd in Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications]

              
    
          
          
        
        
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            n 47   "dataset_persistent_id": "DOI:10.33591/nioz/7b.b.cd", n 47   "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.cd",
            48   "deposit_date": "2022-09-13", 48   "deposit_date": "2022-09-13",
            49   "depositor": "Roeland van de Vijsel", 49   "depositor": "Roeland van de Vijsel",
            50   "distribution_date": "2022-09-13", 50   "distribution_date": "2022-09-13",
            51   "distributor": "Research Data Management(NIOZ Royal Netherlands  51   "distributor": "Research Data Management(NIOZ Royal Netherlands 
            52 Institute for Sea Research)", 52 Institute for Sea Research)",
            53   "doi_date_published": "2023-10-05", 53   "doi_date_published": "2023-10-05",
            54   "funding_references": "[{\"name\":\"Nederlandse Organisatie voor  54   "funding_references": "[{\"name\":\"Nederlandse Organisatie voor 
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            69 with deltas in transition\u201d\"},{\"name\":\"Nederlandse Organisatie  69 with deltas in transition\u201d\"},{\"name\":\"Nederlandse Organisatie 
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            78   "groups": [], 78   "groups": [],
            79   "id": "6077f10c-31db-43a5-b5be-9790eba49a72", 79   "id": "6077f10c-31db-43a5-b5be-9790eba49a72",
            80   "isopen": false, 80   "isopen": false,
            81   "license_title": null, 81   "license_title": null,
            82   "maintainer": null, 82   "maintainer": null,
            83   "maintainer_email": null, 83   "maintainer_email": null,
            84   "metadata_created": "2024-10-22T11:47:00.988862", 84   "metadata_created": "2024-10-22T11:47:00.988862",
            n 85   "metadata_modified": "2024-10-22T11:47:03.681661", n 85   "metadata_modified": "2024-10-22T17:06:47.100936",
            86   "name": "7bbcd", 86   "name": "7bbcd",
            n 87   "notes": "This is the full dataset that supports the findings of the  n 87   "notes": "Spatial patterns are omnipresent in nature1\u20136 and 
            88 following manuscript:\n\nvan de Vijsel, R.C., van Belzen, J., Bouma,  88 directly affect the functioning and resilience of the (eco)systems in 
            89 T.J., van der Wal, D., Borsje, B.W., Temmerman, S., Cornacchia, L.,  89 which they manifest themselves7\u201313. Scale-dependent feedback, 
            90 Gourgue, O., van de Koppel, J. (2023, Nature Communications).  90 which typically is positive locally and negative further away, 
            91 Vegetation controls on channel network complexity in coastal  91 provides a widely accepted explanation for the formation of simple, 
            92 wetlands.\n\nThis dataset is archived and publicly available via  92 single-scale patterns3\u20135. However, it is unclear whether the more 
            93 https://doi.org/10.25850/nioz/7b.b.cd.\n\nThe model (SFERE v1.0)  93 complex, multi-scale patterns that characterize many natural systems 
            94 introduced and used in this study is available via GitHub  94 can be explained by equally generic mechanisms. As a model system, we 
            95 (https://github.com/RCvandeVijsel/SFERE) and Zenodo  95 here study the tidal channels that characterize coastal wetlands14, as 
            96 (https://doi.org/10.5281/zenodo.8411955).", 96 these channels constitute patterns that vary greatly in geometry, 
            97 ranging from simple parallel channels9,14\u201316 to complexly 
            98 branching networks1,17, with direct consequences for the functioning 
            99 and resilience of valuable wetland ecosystems. We reveal that one 
            100 scale-dependent feedback provides a plausible explanation for the 
            101 broad spectrum of geometries typical for tidal channel patterns. This 
            102 is a biogeomorphic feedback that roughly follows Turing\u2019s 
            103 activator-inhibitor principle4,6 and results from flow deflection and 
            104 channel incision around biotically (biofilms, algae, plants) 
            105 stabilized sediment9,15,16,18. Using a mathematical model that is 
            106 supported by field observations, we now show that as the biogeomorphic 
            107 feedback gets stronger, complex multi-scale patterns emerge due to 
            108 self-induced recursion of the scale-dependent feedback, which results 
            109 in nesting of regular channel patterns at successively finer scales. 
            110 This recursive mechanism provides an explanation for earlier 
            111 observations that vegetation increases network complexity19. Our model 
            112 results further demonstrate how biogeomorphic feedback strength does 
            113 not only increase network complexity, but ecosystem functioning as 
            114 well (vegetation density, sediment accretion rate and drainage 
            115 density). Future field research should confirm our study\u2019s 
            116 implications that vegetation-induced self-organization contributes to 
            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 
            119 potential of these ecosystems to mitigate the effects of global change 
            120 that threaten densely populated coastal lowlands worldwide20,24.",
            97   "num_resources": 0, 121   "num_resources": 0,
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            199 explains complex channel patterns in coastal",
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            209     },
            210     {
            211       "display_name": "O.",
            212       "id": "e8b35350-b4e8-4983-853f-49f175c75cf0",
            213       "name": "O.",
            214       "state": "active",
            215       "vocabulary_id": null
            216     },
            217     {
            218       "display_name": "R.C.",
            219       "id": "b70e186f-f7f3-4b0b-b409-18b97aa50eff",
            220       "name": "R.C.",
            221       "state": "active",
            222       "vocabulary_id": null
            223     },
            224     {
            225       "display_name": "S.",
            226       "id": "5a832339-34dc-4987-9dce-3adff630d145",
            227       "name": "S.",
            228       "state": "active",
            229       "vocabulary_id": null
            230     },
            231     {
            232       "display_name": "T.J.",
            233       "id": "28205603-0793-4c41-bd60-4a7e83772451",
            234       "name": "T.J.",
            235       "state": "active",
            236       "vocabulary_id": null
            237     },
            238     {
            239       "display_name": "Temmerman",
            240       "id": "9d267d38-9fb7-4890-86bd-38ab800559e8",
            241       "name": "Temmerman",
            242       "state": "active",
            243       "vocabulary_id": null
            244     },
            245     {
            129       "display_name": "The dataset supporting the findings in the  246       "display_name": "The dataset supporting the following manuscript 
            130 following manuscript van de Vijsel et al. 2023", 247 van de Vijsel",
            131       "id": "cc2616e1-26c1-4490-a9f5-0052fbb9dc1c", 248       "id": "adf2e454-a476-4953-91ff-6359710271f5",
            132       "name": "The dataset supporting the findings in the following  249       "name": "The dataset supporting the following manuscript van de 
            133 manuscript van de Vijsel et al. 2023", 250 Vijsel",
            251       "state": "active",
            252       "vocabulary_id": null
            253     },
            254     {
            255       "display_name": "van Belzen",
            256       "id": "5c6285cc-4feb-4288-8707-4787882b2e57",
            257       "name": "van Belzen",
            258       "state": "active",
            259       "vocabulary_id": null
            260     },
            261     {
            262       "display_name": "van de Koppel",
            263       "id": "c0a7bf37-9a17-488a-a1ce-9c3ef37eb020",
            264       "name": "van de Koppel",
            265       "state": "active",
            266       "vocabulary_id": null
            267     },
            268     {
            269       "display_name": "van der Wal",
            270       "id": "50187a37-3808-4b67-ad4f-eea19a342a20",
            271       "name": "van der Wal",
            134       "state": "active", 272       "state": "active",
            135       "vocabulary_id": null 273       "vocabulary_id": null
            136     } 274     }
            137   ], 275   ],
            n 138   "title": "Vegetation controls on channel network complexity in  n 276   "title": "Simple feedback explains complex channel patterns in 
            139 coastal wetlands - Dataset", 277 coastal wetlands [Revision Nature Communications]",
            140   "type": "dataset", 278   "type": "dataset",
            t 141   "url": "https://dataportal.nioz.nl/doi/10.33591/nioz/7b.b.cd", t 279   "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.cd",
            142   "version": "4" 280   "version": "1"
            143 } 281 }