Vegetation controls on channel network complexity in coastal wetlands

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 7, 2023

Channel networks are key to coastal wetland functioning and resilience under climate change. Vegetation affects sediment hydrodynamics in many different ways, which calls for a coherent framework explain how vegetation shapes channel network geometry functioning. Here, we introduce an idealized model that shows creates more complexly branching by increasing the ratio of incision versus topographic diffusion rates, thereby amplifying channelization feedback recursively incises finer-scale side-channels. This complexification trend qualitatively agrees with provides explanation field data presented here as well earlier studies. Moreover, our demonstrates stronger biogeomorphic leads higher densely vegetated marsh platforms extensive drainage networks. These findings may inspire future research raising hypothesis vegetation-induced self-organization enhances storm surge buffering capacity wetlands their sea-level rise.

Language: Английский

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The hidden order of Turing patterns in arid and semi‐arid vegetation ecosystems

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(42)

Published: Oct. 10, 2023

Vegetation Turing patterns play a critical role in the ecological functioning of arid and semi-arid ecosystems. However, long-range spatial features these have been neglected compared to short-range like patch shape wavelength. Drawing inspiration from hyperuniform structures material science, we find that vegetation pattern exhibits dispersion similar hyperuniformity. As degree hyperuniformity increases, so does water-use efficiency vegetation. This finding supports previous studies suggest represent spatially optimized self-organization ecosystems for water acquisition. The Turing-type significant slowing down near tipping point, indicating non-negligible transient dynamical behavior. Reduced rainfall not only decreases resilience steady state ecosystem but also slows rate optimization long regimes. We propose indicates after strong, short-term disturbances. Spatially heterogeneous disturbances reduce lead longer recovery times than homogeneous maintain

Language: Английский

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Pattern formation – A missing link in the study of ecosystem response to environmental changes

Mathematical Biosciences, Journal Year: 2015, Volume and Issue: 271, P. 1 - 18

Published: Nov. 4, 2015

Language: Английский

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Spatial Self-Organization of Ecosystems: Integrating Multiple Mechanisms of Regular-Pattern Formation

Annual Review of Entomology, Journal Year: 2017, Volume and Issue: 62(1), P. 359 - 377

Published: Jan. 31, 2017

Large-scale regular vegetation patterns are common in nature, but their causes disputed. Whereas recent theory focuses on scale-dependent feedbacks as a potentially universal mechanism, earlier studies suggest that many spatial result from territorial interference competition between colonies of social-insect ecosystem engineers, leading to hexagonally overdispersed nest sites and associated vegetation. Evidence for this latter mechanism is scattered throughout decades disparate literature lacks unified conceptual framework, fueling skepticism about its generality debates over the origins patterned landscapes. We review these mechanisms debates, finding evidence spotted gapped generated by ants, termites, other subterranean animals globally widespread, locally important functioning, consistent with models intraspecific territoriality. Because regular-pattern formation not mutually exclusive can coexist interact at different scales, prevailing theoretical outlook self-organization ecology must expand incorporate dynamic interplay multiple processes.

Language: Английский

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On the complex dynamics of savanna landscapes

Proceedings of the National Academy of Sciences, Journal Year: 2018, Volume and Issue: 115(7)

Published: Jan. 29, 2018

Simple mathematical models can exhibit rich and complex behaviors. Prototypical examples of these drawn from biology other disciplines have provided insights that extend well beyond the situations inspired them. Here, we explore a set simple, yet realistic, for savanna-forest vegetation dynamics based on minimal ecological assumptions. These are aimed at understanding how interacts with both climate (a primary global determinant structure) feedbacks chronic disturbances fire. The model includes three plant functional types-grasses, savanna trees, forest trees. Grass (when they allow grass to persist in their subcanopy) trees promote spread fires, which turn, demographically limit exhibits spectacular range In addition bistability, analysis reveals (i) diverse cyclic behaviors (including homo- heteroclinic cycles) occur broad ranges parameter space, (ii) large shifts landscape structure result endogenous not just external drivers or noise, (iii) introducing noise into this system induces resonant inverse phenomena, some never been previously observed models. Ecologically, results raise questions about evaluate complicated data. Mathematically, lead classes likely similar structure.

Language: Английский

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