DOONIES: A process-based ecogeomorphological functional community model for coastal dune vegetation and landscape dynamics

Charbonneau, Bianca R.; Duarte, A.; Swannack, Todd M.; Johnson, Bradley D.; Piercy, Candice D.

doi:10.1016/j.geomorph.2021.108037

Cited by 9 publications

(4 citation statements)

References 106 publications

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“…Eight models include vegetation in this manner: de Castro (1995), Baas (2002), DECAL (Nield & Baas, 2008), de Luna et al (2011), Coastal Dune Model (CDM; Durán & Moore, 2013, 2015), a modified version of the CDM (Moore et al, 2016), Dune, Beach, and Vegetation model (DUBEVEG; Keijsers et al, 2016), and DUNA (Roelvink & Costas, 2019). In comparison, the DOONIES model (Charbonneau et al, 2022) is centered around plant biology as its main emphasis while the geomorphological elements are comparatively simple.…”

Section: Coastal Zone Habitat Vegetation Simulation Modelsmentioning

confidence: 99%

“…Most models, with the exception of seagrass, rely on implicit, empirically‐derived relationships linking biomass and/or growth and mortality to abiotic drivers such as water depth or temperature. In addition to seagrass models, four models simulated photosynthesis and/or respiration explicitly (DOONIES, Charbonneau et al, 2022; Integrated Biophysical Model, Baustian et al, 2018; SWAT, Neitsch et al, 2011; and VEGMOD, Visser et al, 2013 & 2017).…”

Section: Model Commonalities and Gapsmentioning

confidence: 99%

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Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models

Piercy

Charbonneau

Russ

et al. 2023

Earth Surf Processes Landf

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Models can be powerful tools to help scientists, policymakers, and practitioners forecast vegetation dynamics and inform management decisions in a variety of ecosystems. In coastal environments, vegetation moderates physical and hydrodynamic processes that conversely affect vegetation dynamics. Coastal management and the implementation of nature‐based solutions in the coastal environment requires models that can predict vegetation dynamics that are driven by ecological processes as well as physical processes (e.g., storms, sea level rise). To determine models that are capable of simulating biomass dynamics and assess their ability to make predictions within the context of climate change and environmental management, we reviewed coastal dynamic vegetation simulation models across the following coastal zone habitats: tidal wetlands (salt marsh, mangroves, and freshwater wetlands), seagrass beds, coastal forests (maritime and floodplain forests), and dune habitats. Fifty‐four models met the review criteria and were examined to assess their ability to simulate relevant ecological processes and the spatiotemporal scales at which they are applied. These models included a variety of exogenous and endogenous processes and integrate complex ecogeomorphological feedbacks affecting plant and soil community, hydrodynamic, and sediment transport dynamics. Most models reviewed utilized implicit approaches to predicting vegetation biomass and simulated a limited number of processes based on the principal drivers of habitat of interest. Key gaps identified were the exclusion of below‐ground biomass dynamics, limited inclusion of processes such as competition, facilitation, and succession, and the inability to simulate management actions. Future models should seek to move towards process‐based approaches where appropriate to enable their application to different systems and facilitate their use under novel environmental conditions.

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Section: Coastal Zone Habitat Vegetation Simulation Modelsmentioning

confidence: 99%

Section: Model Commonalities and Gapsmentioning

confidence: 99%

Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models

Piercy

Charbonneau

Russ

et al. 2023

Earth Surf Processes Landf

Self Cite

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“…However, damage assessments show that mangrove tree limbs break during extreme events due to wind or debris impact, and can be at risk of delayed mortality due to extreme ponding or other ecological stressors (Tomiczek et al, 2020a;Radabaugh et al, 2020). In the future, process-based ecological models (Charbonneau et al, 2022) could be adapted for emergent vegetation. These models could also be coupled with wave and nearshore hydrodynamic models for better predictions over time (Hagen et al, 2013).…”

Section: Future Research Prioritiesmentioning

confidence: 99%

State of the practice and engineering framework for using emergent vegetation in coastal infrastructure

Ostrow

Guannel

Biondi

et al. 2022

Front. Built Environ.

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Natural and Nature-Based Features (NNBF) are promoted as alternatives to structural flood protection measures. Progress has been made in understanding the physics and engineering of these systems; however, engineering, ecological, and social barriers to implementation remain. This paper identifies these barriers using the results of a literature review and summary of expert opinion; contrasts the state of the practice of NNBF with traditional structures; and details the main engineering challenges to NNBF implementation, including the uncertainty in current calculation techniques and lack of engineering design guidelines. We suggest that, emergent vegetation systems can be designed with the current body of information, and an example framework is proposed for assessing these systems for their wave attenuation performance. The framework is discussed in the context of risk, and future research priorities are presented.

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“…To simulate the complex processes governing coastal dune change, data‐driven models often employ statistical and semiempirical expressions and/or learning algorithms (i.e., genetic, or neural networks), while process‐based models employ analytic expressions and numerical methods. DOONIES (Charbonneau et al., 2022) is a stochastic, grid‐based ecogeomorphic community model for coastal dune vegetation, incorporating biological, physiological, and geomorphological drivers. Statistical approaches, such as cellular automaton (CA) models or genetic programming (GP), that describe complex interactions using probabilistic rules have also been developed.…”

Section: Introductionmentioning

confidence: 99%

Exploring Controls on Coastal Dune Growth Through a Simplified Model

Kombiadou

Roelvink

2023

JGR Earth Surface

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Process‐based morphodynamic models can be useful in understanding coastal dune responses to disturbances, as well as possible evolutionary patterns. To this aim, we employ Duna, a simplified 1D morphodynamic model, to assess the influence of dune morphology (height and slope) on sand transfer and deposition across the dune profile for different beach widths and wind incidence angles through idealized experiments. Simulations of real conditions show good model performance, both in wind flow reproduction and in topographic change along the dune profiles tested. The idealized experiments show that wind speed increases and sand accumulation decreases logarithmically with dune height and linearly with stoss slope along the dune profile. Fetch and cosine transport limiting parameters are reflected in the sand accumulated windwards from the toe, while sand transfer to the dune appears controlled by multiple factors; the higher the dune and/or the narrower the beach, the likelier that maximum accumulation occurs under oblique winds. Results point to two different types of evolution for high dunes. Either the vegetation is dense enough to maintain the stoss position, in which case vertical growth near‐ceases and seaward progradation is promoted, or the stoss is eroded and landward retreat dominates, in which case sand transfer to the crest and lee continues as a mixture of low input from the beach and recycled sand from the stoss.

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DOONIES: A process-based ecogeomorphological functional community model for coastal dune vegetation and landscape dynamics

Cited by 9 publications

References 106 publications

Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models

Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models

State of the practice and engineering framework for using emergent vegetation in coastal infrastructure

Exploring Controls on Coastal Dune Growth Through a Simplified Model

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