Wetland Ecosystem Services

Groot, Dolf de; Brander, Luke; Finlayson, Max

doi:10.1007/978-94-007-6172-8_66-1

Cited by 19 publications

(25 citation statements)

References 12 publications

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“…Groot et al. [] summarize several of the ecosystem services’ values provided by wetlands. The literature provides values ranging typically between 1000 and 10,000 €/ha (Costanza et al.…”

Section: Empirical Applicationmentioning

confidence: 99%

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The Role of Groundwater‐dependent Ecosystems in Groundwater Management

Esteban

Dinar

2015

Natural Resource Modeling

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Ecosystems provide a wide range of services essential for a proper environmental, economic, and social performance. While the estimated global value of ecosystem services in 2014 is very significant, the annual loss of ecosystem services value is alarming. Our paper focuses on groundwater‐dependent ecosystems (GDEs), some very important to society, which are under threat due to groundwater overexploitation. Considering the ecosystem health/status function is essential for sound groundwater regulation policy. The paper assesses the conjunctive management of groundwater and GDEs both in theory and in a relevant case study, using a certain type of an ecosystem health function. The theoretical results demonstrate how the change in the slope values of a general ecosystem health function affects the optimal groundwater management policy. The analysis also suggests a change in groundwater management strategies as a function of the value of the ecosystem. The theoretical findings are corroborated with data from an aquifer in Spain and its associated GDE—the Tablas de Daimiel Wetland. The paper highlights theoretically and empirically the necessity for a better understanding of GDEs behavior. It calls for groundwater regulation to protect these resources.

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Section: Empirical Applicationmentioning

confidence: 99%

“…Since the economic value of Tablas de Daimiel does not include all possible benefit values that presumably represent additional services observed in the literature (Groot et al. []), we use the 720 €/ha as a lower bound. Then we apply a sensitivity analysis with higher values of wetland services as is reported below.…”

Section: Empirical Applicationmentioning

confidence: 99%

The Role of Groundwater‐dependent Ecosystems in Groundwater Management

Esteban

Dinar

2015

Natural Resource Modeling

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“…1093 / QD-TCMT of the Vietnam Environment Administration in 2016-the Ministry of Natural Resources and Environment (MONRE) (http://www.monre.gov.vn/English) participated in the Ramsar Convention with the concept of "Wetlands are swampy areas, peatlands, areas of regular or temporary inundation, including coastal areas and island areas, with a depth not exceeding 06 meters when the tide is at the lowest tide". Particularly, coastal wetlands include salt and brackish lands along the coast and islands where are influenced by tides [52]. In the above definitions, the wetland is generally defined as an ecological transition zone, a transitional area between terrestrial and flooded environments, or the place where soil inundation creates the development of a typical flora.…”

Section: Selection Of the Wetland Types For This Researchmentioning

confidence: 99%

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam

Dang

Nguyen

Nguyễn³

et al. 2020

Remote Sensing

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The natural wetland areas in Vietnam, which are transition areas from inland and ocean, play a crucial role in minimizing coastal hazards; however, during the last two decades, about 64% of these areas have been converted from the natural wetland to the human-made wetland. It is anticipated that the conversion rate continues to increase due to economic development and urbanization. Therefore, monitoring and assessment of the wetland are essential for the coastal vulnerability assessment and geo-ecosystem management. The aim of this study is to propose and verify a new deep learning approach to interpret 9 of 19 coastal wetland types classified in the RAMSAR and MONRE systems for the Tien Yen estuary of Vietnam. Herein, a Resnet framework was integrated into the U-Net to optimize the performance of the proposed deep learning model. The Sentinel-2, ALOS-DEM, and NOAA-DEM satellite images were used as the input data, whereas the output is the predefined nine wetland types. As a result, two ResU-Net models using Adam and RMSprop optimizer functions show the accuracy higher than 85%, especially in forested intertidal wetlands, aquaculture ponds, and farm ponds. The better performance of these models was proved, compared to Random Forest and Support Vector Machine methods. After optimizing the ResU-Net models, they were also used to map the coastal wetland areas correctly in the northeastern part of Vietnam. The final model can potentially update new wetland types in the southern parts and islands in Vietnam towards wetland change monitoring in real time.

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“…The major ESs of wetlands are regulating ones e.g. climate mitigation, carbon sequestration, flood prevention, groundwater recharge, water purification [1][2][3]. The wildlife and biodiversity of wetlands are mostly the best out of their region, so recreation and tourism services of wetlands are also relevant [4][5].…”

Section: Introductionmentioning

confidence: 99%

Long-term Water Regime Studies of a Degraded Floating Fen in Hungary

Decsi

Ács

Kozma

2020

Period. Polytech. Civil Eng.

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Historical trends in water management and recent climatic variations put wetlands in the Carpathian basin under strong pressure and led to their degradation. The lack of extended site specific environmental data series inhibits the understanding of long-term eco-hydrological processes. This undermines the success of restoration and/or management efforts. As a precedent we analyzed a recently degraded Hungarian lowland wetland, the Nyárjas fen in order to identify the main cause of its drying. Our method is based on one-dimensional simulations of a variably saturated soil column representing the dominant hydrological conditions of the wetland. To properly define the necessary soil hydraulic parameters, soil sampling, laboratory measurements and inverse modelling were carried out. The hydrological simulations for the 1961-2010 period clearly suggest that (i) the wetland degraded due to a temporal unfavorable combination of regional groundwater depletion and decreased precipitation, (ii) and could not recover afterwards despite the improvement of hydrological conditions. The ecological water demand of the Nyárjas fen can be explicitly expressed in terms of groundwater level. However, water availability is a necessary, but not sufficient criteria of good habitat status. The elaborated methodology provides the basis of bottom-up type environmental water demand estimation on a regional/national scale.

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Wetland Ecosystem Services

Cited by 19 publications

References 12 publications

The Role of Groundwater‐dependent Ecosystems in Groundwater Management

The Role of Groundwater‐dependent Ecosystems in Groundwater Management

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam

Long-term Water Regime Studies of a Degraded Floating Fen in Hungary

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