Implementing adaptive management into a climate change adaptation strategy for a drowning New England salt marsh

Perry, Danielle C.; Chaffee, Caitlin; Wigand, Cathleen; Thornber, Carol S.

doi:10.1016/j.jenvman.2020.110928

Cited by 11 publications

(4 citation statements)

References 26 publications

(35 reference statements)

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“…Adaptive management can be an essential component of successful restoration projects (Buchsbaum and Wigand, 2012;Perry et al, 2020), but to what extent did adaptive management activities of the landscape and hydrology facilitate some of the outcomes documented after sediment placement in this study? We observed, but did not directly quantify, some apparent benefits (Supplementary Figure S4).…”

Section: Adaptive Managementmentioning

confidence: 97%

Laying it on thick: Ecosystem effects of sediment placement on a microtidal Rhode Island salt marsh

Raposa

Bradley

Chaffee

et al. 2022

Front. Environ. Sci.

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Heightened recognition of impacts to coastal salt marshes from sea-level rise has led to expanding interest in using thin-layer sediment placement (TLP) as an adaptation tool to enhance future marsh resilience. Building on successes and lessons learned from the Gulf and southeast U.S. coasts, projects are now underway in other regions, including New England where the effects of TLP on marsh ecosystems and processes are less clear. In this study, we report on early responses of a drowning, microtidal Rhode Island marsh (Ninigret Marsh, Charlestown, RI) to the application of a thick (10–48 cm) application of sandy dredged material and complimentary extensive adaptive management to quickly build elevation capital and enhance declining high marsh plant species. Physical changes occurred quickly. Elevation capital, rates of marsh elevation gain, and soil drainage all increased, while surface inundation, die-off areas, and surface ponding were greatly reduced. Much of the marsh revegetated within a few years, exhibiting aspects of classic successional processes leading to new expansive areas of high marsh species, although low marsh Spartina alterniflora recovered more slowly. Faunal communities, including nekton and birds, were largely unaffected by sediment placement. Overall, sediment placement provided Ninigret Marsh with an estimated 67–320 years of ambient elevation gain, increasing its resilience and likely long-term persistence. Project stakeholders intentionally aimed for the upper end of high marsh plant elevation growth ranges to build elevation capital and minimize maintenance costs, which also resulted in new migration corridors, providing pathways for future marsh expansion.

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Section: Adaptive Managementmentioning

confidence: 97%

Laying it on thick: Ecosystem effects of sediment placement on a microtidal Rhode Island salt marsh

Raposa

Bradley

Chaffee

et al. 2022

Front. Environ. Sci.

Self Cite

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“…Perry et al's 44 study of implicit Soft OR use in the development of coastal resource management planning in the eastern United States provides a good example of these kinds of efforts and illustrates some of the advantages to the government of implicit rather than explicit use. The team noted that maintaining stakeholder interests and commitment was an issue and acknowledged that the large funding required for their methodology can make its applications 'a significant challenge' .…”

Section: The Bristol Casementioning

confidence: 99%

Problems in applying Soft OR methods to climate actions: lessons from two cases of governmental use

et al. 2023

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The field of Soft Operational Research (Soft OR) has emerged from the attempt to address contextually rich, multi-actor ‘wicked’ problems that are not amenable to traditional ‘hard’ operational research techniques, which often rely on mathematical modelling. This study assesses the use of Soft OR techniques in climate change policymaking. Since climate change problems are classical wicked problems, many assume that Soft OR would be in high demand in developing climate change policy. And the review of the use of these techniques conducted here does find that in the cases where Soft OR methods have been used by academics and other non-governmental actors, they have consistently provided useful results for policymaking. It is puzzling therefore that there is little evidence of governments using Soft OR application in this area. We study two cases of explicit (in Bristol UK) and implicit use (Rhode Island, US) of such techniques by governments to explain why this is so. We argue that notwithstanding the challenges the two cases reveal in their application, Soft OR nevertheless has much to offer policymakers in the arena of climate change policymaking and deserve more attention and use.

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“…Third, we need to forecast our process under these future climate scenarios. Then, as the fourth step, we can work towards mitigating impacts, preferentially through an adaptive management framework [ 15 , 16 ]. Robust ecological and temperature data are essential cornerstones of this process.…”

Section: Introductionmentioning

confidence: 99%

Simple Bayesian reconstruction and forecasting of stream water temperature for ecologists—A tool using air temperature, optionally flow, in a time series decomposition approach

Bal,

de Eyto

2023

PLoS ONE

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Mitigating the impacts of global warming on wildlife entails four practical steps. First, we need to study how processes of interest vary with temperature. Second, we need to build good temperature scenarios. Third, processes can be forecast accordingly. Only then can we perform the fourth step, testing mitigating measures. While having good temperature data is essential, this is not straightforward for stream ecologists and managers. Water temperature (WT) data are often short and incomplete and future projections are currently not routinely available. There is a need for generic models which address this data gap with good resolution and current models are partly lacking. Here, we expand a previously published hierarchical Bayesian model that was driven by air temperature (AT) and flow (Q) as a second covariate. The new model can hindcast and forecast WT time series at a daily time step. It also allows a better appraisal of real uncertainties in the warming of water temperatures in rivers compared to the previous version, stemming from its hybrid structure between time series decomposition and regression. This model decomposes all-time series using seasonal sinusoidal periodic signals and time varying means and amplitudes. It then links the contrasted frequency signals of WT (daily and six month) through regressions to that of AT and optionally Q for better resolution. We apply this model to two contrasting case study rivers. For one case study, AT only is available as a covariate. This expanded model further improves the already good fitting and predictive capabilities of its earlier version while additionally highlighting warming uncertainties. The code is available online and can easily be run for other temperate rivers.

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Implementing adaptive management into a climate change adaptation strategy for a drowning New England salt marsh

Abstract: Implementing adaptive management into a climate change adaptation strategy for a drowning New England salt marsh.

Cited by 11 publications

References 26 publications

Laying it on thick: Ecosystem effects of sediment placement on a microtidal Rhode Island salt marsh

Laying it on thick: Ecosystem effects of sediment placement on a microtidal Rhode Island salt marsh

Problems in applying Soft OR methods to climate actions: lessons from two cases of governmental use

Simple Bayesian reconstruction and forecasting of stream water temperature for ecologists—A tool using air temperature, optionally flow, in a time series decomposition approach

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