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Added resource ExtractionResults_input.zip to Simple feedback explains complex channel patterns in coastal wetlands [Revision Nature Communications]
              
    
          
          
        
        
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            88   "name": "7bbcd", 88   "name": "7bbcd",
            89   "notes": "Spatial patterns are omnipresent in nature1\u20136 and  89   "notes": "Spatial patterns are omnipresent in nature1\u20136 and 
            90 directly affect the functioning and resilience of the (eco)systems in  90 directly affect the functioning and resilience of the (eco)systems in 
            91 which they manifest themselves7\u201313. Scale-dependent feedback,  91 which they manifest themselves7\u201313. Scale-dependent feedback, 
            92 which typically is positive locally and negative further away,  92 which typically is positive locally and negative further away, 
            93 provides a widely accepted explanation for the formation of simple,  93 provides a widely accepted explanation for the formation of simple, 
            94 single-scale patterns3\u20135. However, it is unclear whether the more  94 single-scale patterns3\u20135. However, it is unclear whether the more 
            95 complex, multi-scale patterns that characterize many natural systems  95 complex, multi-scale patterns that characterize many natural systems 
            96 can be explained by equally generic mechanisms. As a model system, we  96 can be explained by equally generic mechanisms. As a model system, we 
            97 here study the tidal channels that characterize coastal wetlands14, as  97 here study the tidal channels that characterize coastal wetlands14, as 
            98 these channels constitute patterns that vary greatly in geometry,  98 these channels constitute patterns that vary greatly in geometry, 
            99 ranging from simple parallel channels9,14\u201316 to complexly  99 ranging from simple parallel channels9,14\u201316 to complexly 
            100 branching networks1,17, with direct consequences for the functioning  100 branching networks1,17, with direct consequences for the functioning 
            101 and resilience of valuable wetland ecosystems. We reveal that one  101 and resilience of valuable wetland ecosystems. We reveal that one 
            102 scale-dependent feedback provides a plausible explanation for the  102 scale-dependent feedback provides a plausible explanation for the 
            103 broad spectrum of geometries typical for tidal channel patterns. This  103 broad spectrum of geometries typical for tidal channel patterns. This 
            104 is a biogeomorphic feedback that roughly follows Turing\u2019s  104 is a biogeomorphic feedback that roughly follows Turing\u2019s 
            105 activator-inhibitor principle4,6 and results from flow deflection and  105 activator-inhibitor principle4,6 and results from flow deflection and 
            106 channel incision around biotically (biofilms, algae, plants)  106 channel incision around biotically (biofilms, algae, plants) 
            107 stabilized sediment9,15,16,18. Using a mathematical model that is  107 stabilized sediment9,15,16,18. Using a mathematical model that is 
            108 supported by field observations, we now show that as the biogeomorphic  108 supported by field observations, we now show that as the biogeomorphic 
            109 feedback gets stronger, complex multi-scale patterns emerge due to  109 feedback gets stronger, complex multi-scale patterns emerge due to 
            110 self-induced recursion of the scale-dependent feedback, which results  110 self-induced recursion of the scale-dependent feedback, which results 
            111 in nesting of regular channel patterns at successively finer scales.  111 in nesting of regular channel patterns at successively finer scales. 
            112 This recursive mechanism provides an explanation for earlier  112 This recursive mechanism provides an explanation for earlier 
            113 observations that vegetation increases network complexity19. Our model  113 observations that vegetation increases network complexity19. Our model 
            114 results further demonstrate how biogeomorphic feedback strength does  114 results further demonstrate how biogeomorphic feedback strength does 
            115 not only increase network complexity, but ecosystem functioning as  115 not only increase network complexity, but ecosystem functioning as 
            116 well (vegetation density, sediment accretion rate and drainage  116 well (vegetation density, sediment accretion rate and drainage 
            117 density). Future field research should confirm our study\u2019s  117 density). Future field research should confirm our study\u2019s 
            118 implications that vegetation-induced self-organization contributes to  118 implications that vegetation-induced self-organization contributes to 
            119 the storm surge buffering capacity20,21 of coastal wetlands and their  119 the storm surge buffering capacity20,21 of coastal wetlands and their 
            120 resilience to flooding22 and sea level rise23, and with that for the  120 resilience to flooding22 and sea level rise23, and with that for the 
            121 potential of these ecosystems to mitigate the effects of global change  121 potential of these ecosystems to mitigate the effects of global change 
            122 that threaten densely populated coastal lowlands worldwide20,24.", 122 that threaten densely populated coastal lowlands worldwide20,24.",
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            476   ], 498   ],
            477   "title": "Simple feedback explains complex channel patterns in  499   "title": "Simple feedback explains complex channel patterns in 
            478 coastal wetlands [Revision Nature Communications]", 500 coastal wetlands [Revision Nature Communications]",
            479   "type": "dataset", 501   "type": "dataset",
            480   "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.cd", 502   "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.cd",
            481   "version": "1" 503   "version": "1"
            482 } 504 }