Improved modelling of the impacts of sea level rise on coastal wetland plant communities

Ward, Raymond D.; Burnside, Niall; Joyce, Christopher; Sepp, Kalev; Teasdale, Phillip

doi:10.1007/s10750-015-2374-2

Cited by 27 publications

(26 citation statements)

References 51 publications

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“…However, potential future acceleration in the rate of the climate-driven SLR may alter this relationship, and may further enhance and move northward the problem of shore erosion, which is already being experienced in areas south of the current average equilibrium line [8]. Accelerated SLR will particularly affect Baltic coastal wetlands with limited allochthonous sediment supplies [9], and the favorable combinations of micro-topographic, hydrological, and sea-level conditions [10].…”

Section: Introductionmentioning

confidence: 99%

“…Besides these relatively well-investigated effects of sea level changes [2,9,10], there are also additional weather/climate variabilities and change aspects that may affect coastal wetlands, [7], and the approximate positions of the zero average net sea level rise (purple lines), as reported by Strandmark et al [5]. The marine basins in (a) are BB: Bothnian Bay; Q: The Quark; BS: Bothnian Sea; ÅS: Åland Sea; AS: Archipelago Sea; NBP: Norhern Baltic Proper; GoF: Gulf of Finland; GoR: Gulf of Riga; WGB: Western Gotland Basin; EGB: Eastern Gotland Basin; SBP: Southern Baltic Proper; GoG: Gulf of Gdansk.…”

Section: Introductionmentioning

confidence: 99%

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Dominant Hydro-Climatic Drivers of Water Temperature, Salinity, and Flow Variability for the Large-Scale System of the Baltic Coastal Wetlands

Chen

Vigouroux

Bring

et al. 2019

Water

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For the large-scale coastal wetland system of the Baltic Sea, this study develops a methodology for investigating if and to what degree the variability and changes in certain hydro-climatic drivers control key coastal-marine physical conditions. The studied physical conditions include: (a) water temperature, (b) water salinity, and (c) flow structures (magnitudes and directions of flows between marine basins and the associated coastal zones and wetlands). We use numerical simulations of three hydro-climatically distinct cases to investigate the variations in hydro-climatic drivers and the resulting physical conditions (a-c) among the cases. The studied hydro-climatic forcing variables are: net surface heat flux, wind conditions, saltwater influx from the North Sea, and freshwater runoff from land. For these variables, the available observation-based data show that the total runoff from land is significantly and positively correlated with precipitation on the sea itself, and negatively correlated with saltwater influx from the North Sea to the Baltic Sea. Overall, the physical condition (a-c) variability in the Baltic Sea and its coastal zones is found to be pairwise well-explained by simulation case differences as follows: (a) Net heat flux is a main control of sea water temperature. (b) Runoff from land, along with the correlated salt water influx from the North Sea, controls average sea salinity; with the variability of local river discharges shifting some coastal zones to deviate from the average sea condition. (c) Wind variability and change control the Baltic Sea flow structure, primarily in terms of flow magnitude and less so in terms of flow direction. For specific coastal wetland zones, considerable salinity differences from average Baltic Sea conditions (due to variability in local river discharges) are found for the coasts of Finland and Estonia, while the coastal wetland zones of south-eastern Sweden, and of Estonia and Latvia, emerge as particularly sensitive to wind shifts.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dominant Hydro-Climatic Drivers of Water Temperature, Salinity, and Flow Variability for the Large-Scale System of the Baltic Coastal Wetlands

Chen

Vigouroux

Bring

et al. 2019

Water

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“…The ESI formula is shown in Equation (8) and the ESI levels are given in Table 3 ESI = ECC/(ECC + EF) (8) in which ESI is the environmental sustainability index, EF is the ecological footprint; and ECC is the ecological carrying capacity. …”

Section: (B) Efimentioning

confidence: 99%

“…Factors such as climate change, rural poverty, and increased human population size have resulted in a wetlands loss of~30%-50% in the last decade [1][2][3]. As well as providing ecosystem services such as flood control, coastline protection, nutrient recycling, carbon sequestration, and ecotourism, wetlands support many specialized plants and animal species [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Establishment and Application of Wetlands Ecosystem Services and Sustainable Ecological Evaluation Indicators

Chen

2017

Water

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Gaomei wetlands are national Taiwanese coastal wetlands. Over the past few years, they have grown into an important water bird habitat and popular bird-watching location. However, the rapid growth in tourism has begun to affect the environmental quality in the Gaomei wetlands. This study combined ecosystem services (ES) and ecological footprint (EF) assessments to evaluate the sustainability status according to the features of each ecosystem service for the different Gaomei wetlands land uses. The results found that (a) the total Gaomei wetlands ecosystem service value increased from 59.24 million TWD in 2008 to 98.10 million TWD in 2015, and the ecosystem service function was continuously improving; (b) the EF increased by 56.12% over 8 years; and (c) there was a negative growth rate of 106.54% in the ecological deficit (ED) in the sustainable ecological evaluation indicators (SEEI). The ecological footprint index (EFI) in 2015 was at Level 4 at 1.02, and the environmental sustainability index (ESI) was at Level 3 at 0.49. Results show that Gaomei wetlands have a low sustainability; therefore, the local, regional, and national governments need to implement regulations to strictly control the Gaomei wetlands land use. This study demonstrated that ES and EF theory application can give an objective guidance to decision-makers to ensure that wetlands eco-security can be maintained at safe levels.

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“…Finally, two contributions address coastal wetlands which are under threat due to sea level rise (Ward et al, 2016). By contrast, well-preserved salt marshes in the Southern Hemisphere are depicted to provide long-term carbon storage and buffering capacity against nutrients and metals (Negrin et al, 2016).…”

Section: 480 1995mentioning

confidence: 99%

Preface: Wetlands biodiversity and processes—tools for conservation and management

2016

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Improved modelling of the impacts of sea level rise on coastal wetland plant communities

Abstract: 8This study presents an enhanced methodology for modelling the impacts of sea level 9 rise on coastal wetlands. The tool integrates dGPS calibrated LiDAR data, isostatic 10 uplift and sediment accretion rates to predict the location and extent of plant

Cited by 27 publications

References 51 publications

Dominant Hydro-Climatic Drivers of Water Temperature, Salinity, and Flow Variability for the Large-Scale System of the Baltic Coastal Wetlands

Dominant Hydro-Climatic Drivers of Water Temperature, Salinity, and Flow Variability for the Large-Scale System of the Baltic Coastal Wetlands

Establishment and Application of Wetlands Ecosystem Services and Sustainable Ecological Evaluation Indicators

Preface: Wetlands biodiversity and processes—tools for conservation and management

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