The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles

Bathmann, Jasper; Peters, Ronny; Naumov, Dmitri; Fischer, Thomas; Berger, Uta; Walther, Marc

doi:10.1016/j.ecolmodel.2020.108973

Cited by 15 publications

(11 citation statements)

References 56 publications

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“…Growth rates are reduced once the radii of neighbouring trees begin to overlap. Recently, a mechanistic alternative to the Shugart equation is being developed, in which mangrove tree growth has been directly related to prevailing environmental conditions such as salinity and ground water flows (Peters et al, 2014(Peters et al, , 2018Bathmann et al, 2020).…”

Section: Forest Structure and Ecological Processesmentioning

confidence: 99%

Nature-Based Engineering: A Review on Reducing Coastal Flood Risk With Mangroves

et al. 2021

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Integration of mangroves in projects to reduce coastal flood risk is increasingly being recognised as a sustainable and cost-effective alternative. In addition to the construction of conventional hard flood protection infrastructure, mangroves not only contribute to attenuating flood events (functionality), they also recover in, and adapt to, a changing climate (persistence). The implementation of mangroves in flood risk reduction, however, remains complex. This is because the innate functionality and persistence of mangroves depend on a range of environmental conditions. Importantly, mangroves may collapse when environmental impacts or climatic changes exceed key system thresholds, bringing uncertainty into a situation where failure could endanger lives and livelihoods. The uncertainties in mangrove functionality and persistence can be dealt with by (1) improving insights in how ecological and physical processes affect mangrove functionality and persistence across scales, (2) advancing tools to accurately assess and predict mangrove functionality and persistence, and (3) adopting an adaptive management approach combined with appropriate engineering interventions to enhance mangrove functionality and persistence. Here, we review existing evidence, monitoring techniques and modelling approaches from the viewpoint of mangrove functionality and persistence. Inspired by existing guidelines for Nature-based Solutions (NbS) to reduce flood risk, we provide an operationalization for this new approach. In addition, we identify where further research efforts are required for the practical application of mangroves in coastal flood risk management. Key aspects in the variability and uncertainty of the functionality and persistence of mangroves are their failure and recovery mechanisms, which are greatly site- and storm-specific. We propose five characteristic damage regimes that result in increasing reductions of mangrove functionality as well as post-storm recovery periods. Further research on the quantification of these regimes and their thresholds is required for the successful integration of mangroves in coastal flood risk management. Ultimately, the key challenge is the development of adaptive management strategies to optimise long-term mangrove functionality and persistence, or their resilience. Such adaptive strategies should be informed by continued mangrove functionality and persistence assessments, based on continued monitoring and modelling of key mangrove thresholds, and supported through well-established guidelines.

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Section: Forest Structure and Ecological Processesmentioning

confidence: 99%

Nature-Based Engineering: A Review on Reducing Coastal Flood Risk With Mangroves

et al. 2021

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“…With increasing soil salinity, photosynthetic rates and thus growth rates decline (Ball 1988). Prediction suggests that by salinizing the soil, trees may eventually limit water uptake and so soil salinity stabilize (Bathmann et al 2020).…”

Section: Empirical Evidencementioning

confidence: 99%

“…Numerical models that investigate feedback mechanisms between vegetation and porewater salinity in mangrove ecosystems can be categorized by the spatial scale of the model and the level of detail incorporated within the models. There are regional models (Zhang et al 2018;Liu et al 2019), site-specific models (Sternberg et al 2007;Teh et al 2008Teh et al , 2013Teh et al , 2015 and models which describe the interactions on the scale of individual plants (Bathmann et al 2020). Different scales of the models tend to incorporate different levels of detail.…”

Section: Modelling Approachesmentioning

confidence: 99%

“…org) to an individual-based mangrove model (BETTINA, Peters et al 2014)) that incorporates plant water use. This coupled model suggested that plant-soil feedbacks contribute to maintaining mangrove tree forms (scrub vs. taller) and species zonation patterns (Bathmann et al 2020(Bathmann et al , 2021.…”

Section: Modelling Approachesmentioning

confidence: 99%

“…Additionally, there are observations that mangrove trees can alter the soil pore water salinity through their influence on water uptake and the interplay of salt excretion, salt exclusion and transpiration (Passioura et al 1992;Lovelock and Feller 2003). However, there are very few research approaches that explicitly address such dynamics (Bathmann et al 2020;Peters et al 2020), yet these examples illustrate that mangrove habitat stability and habitat quality are influenced through plant-soil feedbacks, i.e. the interaction between the plant and its surrounding soil, which may be widespread (McKee et al 2012).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Plant–soil feedbacks in mangrove ecosystems: establishing links between empirical and modelling studies

Wimmler

Bathmann

Peters

et al. 2021

Trees

Self Cite

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Key message Plant–soil feedbacks in mangrove ecosystems are important for ecosystem resilience and can be investigated by establishing links between empirical and modelling studies. Abstract Plant–soil feedbacks are important as they provide valuable insights into ecosystem dynamics and ecosystems stability and resilience against multiple stressors and disturbances, including global climate change. In mangroves, plant–soil feedbacks are important for ecosystem resilience in the face of sea level rise, carbon sequestration, and to support successful ecosystem restoration. Despite the recognition of the importance of plant–soil feedbacks in mangroves, there is limited empirical data available. We reviewed empirical studies from mangrove ecosystems and evaluate numerical models addressing plant–soil feedbacks. The empirical evidence suggests that plant–soil feedbacks strongly influence ecological processes (e.g. seedling recruitment and soil elevation change) and forest structure in mangrove ecosystems. Numerical models, which successfully describe plant–soil feedbacks in mangrove and other ecosystems, can be used in future empirical studies to test mechanistic understanding and project outcomes of environmental change. Moreover, the combination of both, modelling and empirical approaches, can improve mechanistic understanding of plant–soil feedbacks and thereby ecosystem dynamics in mangrove ecosystems. This combination will help to support sustainable coastal management and conservation.

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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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The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles

Cited by 15 publications

References 56 publications

Nature-Based Engineering: A Review on Reducing Coastal Flood Risk With Mangroves

Nature-Based Engineering: A Review on Reducing Coastal Flood Risk With Mangroves

Plant–soil feedbacks in mangrove ecosystems: establishing links between empirical and modelling studies

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

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