Numerical modeling of the effects of water flow, sediment transport and vegetation growth on the spatiotemporal patterning of the ridge and slough landscape of the Everglades wetland

Lago, Marcelo; Miralles‐Wilhelm, Fernando; Mahmoudi, M.; Engel, V.

doi:10.1016/j.advwatres.2010.07.009

Cited by 25 publications

(28 citation statements)

References 32 publications

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“…Constraints to patch expansion are induced at the entire domain scale, and not over local and/or intermediate scales, as is the case in Ross et al (2006), Lago et al (2010), Cheng et al (2011 and . The principal reason for invoking a global rather than intermediate feedback is the inherent difference between focusing on hydroperiod/water depths, which are reasonably uniform over large areas, and flow velocity or solute redistribution, which are more spatially heterogeneous.…”

Section: Multi-metric Model Performancementioning

confidence: 99%

“…The ridge-slough landscape is often described as exhibiting a repeating geostatistical pattern with a wavelength of 50-400 m in the direction orthogonal to flow (Larsen and Harvey, 2010;Lago et al, 2010;Cheng et al, 2010;Cohen et al, 2011). Spatial periodicity in patterned ecosystems has been attributed to the interplay between positive and negative feedbacks acting at different spatial scales.…”

Section: Multi-metric Model Performancementioning

confidence: 99%

“…Using a process-based numerical model, Ross et al (2006) showed that differential evapotranspiration rates in higherelevation soils may lead to the concentration of dissolved nutrients (particularly phosphorus), suggesting that this nutrient redistribution, alone or in combination with sediment and nutrient transport, may generate the ridge-slough pattern in the Everglades. According to Harvey (2010, 2011) and Lago et al (2010), ridge-sloughlike flow-parallel patterns develop as the heterogeneous flow regimes caused by vegetation resistance and local elevation differences recursively dictate differential peat accretion, sediment transport, and erosion. Cheng et al (2011) incorporated anisotropic hydraulic conductivity in a scaledependent feedback (advection-diffusion) model to demonstrate the evolution of flow-parallel, elongated vegetation bands.…”

Section: Introductionmentioning

confidence: 99%

“…Cheng et al (2011) incorporated anisotropic hydraulic conductivity in a scaledependent feedback (advection-diffusion) model to demonstrate the evolution of flow-parallel, elongated vegetation bands. Crucially, however, all of these models generate pattern by coupling local positive feedbacks with a distal negative feedback at some intermediate distance imposed either explicitly (Cheng et al, 2011) or implicitly (e.g., erosion and sediment transport by flow; Harvey, 2010, 2011;Lago et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it has been shown elsewhere that different combinations of processes may generate similar patterns (Eppinga et al, 2009), making inference of a single dominant mechanism challenging. Models of ridge-slough pattern genesis have invoked differential sediment transport Lago et al, 2010), nutrient redistribution (Ross et al, 2006), and biased subsurface flow induced by anisotropic hydraulic conductivity (Cheng et al, 2011) as driving mechanisms. Using a process-based numerical model, Ross et al (2006) showed that differential evapotranspiration rates in higherelevation soils may lead to the concentration of dissolved nutrients (particularly phosphorus), suggesting that this nutrient redistribution, alone or in combination with sediment and nutrient transport, may generate the ridge-slough pattern in the Everglades.…”

Section: Introductionmentioning

confidence: 99%

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Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland

Acharya

Kaplan

Casey

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Self-organized landscape patterning can arise in response to multiple processes. Discriminating among alternative patterning mechanisms, particularly where experimental manipulations are untenable, requires process-based models. Previous modeling studies have attributed patterning in the Everglades (Florida, USA) to sediment redistribution and anisotropic soil hydraulic properties. In this work, we tested an alternate theory, the self-organizing-canal (SOC) hypothesis, by developing a cellular automata model that simulates pattern evolution via local positive feedbacks (i.e., facilitation) coupled with a global negative feedback based on hydrology. The model is forced by global hydroperiod that drives stochastic transitions between two patch types: ridge (higher elevation) and slough (lower elevation). We evaluated model performance using multiple criteria based on six statistical and geostatistical properties observed in reference portions of the Everglades landscape: patch density, patch anisotropy, semivariogram ranges, power-law scaling of ridge areas, perimeter area fractal dimension, and characteristic pattern wavelength. Model results showed strong statistical agreement with reference landscapes, but only when anisotropically acting local facilitation was coupled with hydrologic global feedback, for which several plausible mechanisms exist. Critically, the model correctly generated fractal landscapes that had no characteristic pattern wavelength, supporting the invocation of global rather than scale-specific negative feedbacks.

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Section: Multi-metric Model Performancementioning

confidence: 99%

Section: Multi-metric Model Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland

Acharya

Kaplan

Casey

et al. 2015

Hydrol. Earth Syst. Sci.

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Doing ecohydrology backward: Inferring wetland flow and hydroperiod from landscape patterns

Acharya

Kaplan

Jawitz

et al. 2017

Water Resources Research

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Human alterations to hydrology have globally impacted wetland ecosystems. Preventing or reversing these impacts is a principal focus of restoration efforts. However, restoration effectiveness is often hampered by limited information on historical landscape properties and hydrologic regime. To help address this gap, we developed a novel statistical approach for inferring flows and inundation frequency (i.e., hydroperiod, HP) in wetlands where changes in spatial vegetation and geomorphic patterns have occurred due to hydrologic alteration. We developed an analytical expression for HP as a transformation of the landscape‐scale stage‐discharge relationship. We applied this model to the Everglades “ridge‐slough” (RS) landscape, a patterned, lotic peatland in southern Florida that has been drastically degraded by compartmentalization, drainage, and flow diversions. The new method reliably estimated flow and HP for a range of RS landscape patterns. Crucially, ridge‐patch anisotropy and elevation above sloughs were strong drivers of flow‐HP relationships. Increasing ridge heights markedly increased flow required to achieve sufficient HP to support peat accretion. Indeed, ridge heights inferred from historical accounts would require boundary flows 3–4 times greater than today, which agrees with restoration flow estimates from more complex, spatially distributed models. While observed loss of patch anisotropy allows HP targets to be met with lower flows, such landscapes likely fail to support other ecological functions. This work helps inform restoration flows required to restore stable ridge‐slough patterning and positive peat accretion in this degraded ecosystem, and, more broadly, provides tools for exploring interactions between landscape and hydrology in lotic wetlands and floodplains.

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Methodologies and Management Framework for Restoration of Wetland Hydrologic Connectivity: A Synthesis

Meng

Liu

Bao

et al. 2020

Integr Envir Assess & Manag

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Under the dual influences of high‐intensity anthropogenic activity and climate change, wetland hydrologic connectivity (HC) has decreased significantly, resulting in the severe fragmentation of wetlands, a decrease in wetland area, and a degradation of hydrological functions, resulting in a worsening disaster response to floods and droughts. Dynamic changes in wetland HC are affected by a variety of factors. Many degraded wetlands have undergone measures to restore HC. Recovery can improve the HC pattern of degraded wetlands. Based on the knowledge of practitioners and a review of the literature, it was found that recovery measures can be divided into structural recovery and functional recovery according to the specific recovery objectives. However, the current recovery method lacks a holistic analysis of the HC pattern. To this end, we propose a hydrologic network–water balance‐based HC recovery and management framework that overcomes the limitations of single‐drive‐factor repair and local repair effects. Integr Environ Assess Manag 2020;16:438–451. © 2020 SETAC

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Numerical modeling of the effects of water flow, sediment transport and vegetation growth on the spatiotemporal patterning of the ridge and slough landscape of the Everglades wetland

Cited by 25 publications

References 32 publications

Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland

Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland

Doing ecohydrology backward: Inferring wetland flow and hydroperiod from landscape patterns

Methodologies and Management Framework for Restoration of Wetland Hydrologic Connectivity: A Synthesis

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