Ecosystem service valuation of bays in East China Sea and its response to sea reclamation activities

Liu, Rui-Qing; Xu, Hao; Li, Jialin; Pu, Ruiliang; Sun, Chao; Cao, Luodan; Jiang, Yimei; Tian, Peng; Wang, Lijia; Gong, Haimei

doi:10.1007/s11442-020-1772-1

Cited by 10 publications

(5 citation statements)

References 38 publications

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“…Some studies have indicated that in bay area basins, the value of ecosystem services tends to be higher in the inland hinterland than in the lower reaches offshore [57]. The areas where significant changes occur on a temporal scale are usually concentrated at the sea-land boundary [58]. This illustrates that the economic activities of stakeholders have become the main factors in the supply and demand patterns of ecosystem services [59].…”

Section: Analysis Of Supply and Demand Of Ecosystem Services In Different Scenariosmentioning

confidence: 99%

The Trade-Offs between Supply and Demand Dynamics of Ecosystem Services in the Bay Areas of Metropolitan Regions: A Case Study in Quanzhou, China

Shui

et al. 2021

Land

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Bay areas are endowed with unique sea and land resources, location advantages, and high environmental carrying capacities. The rapid urbanization process has intensified the demand for limited natural resources, leading to a series of problems in coastal zones such as land use conflicts and the degradation of ecosystem services. Taking Quanzhou, a bay city in a metropolitan region, as an example, this paper established an accounting model of ecosystem services supply and consumption demand based on multisource data (meteorological site data, land use data and statistical data). We estimated the supply capacity and consumption demand of provisioning services, regulating services, and cultural services in Quanzhou from 2005 to 2015. In addition, the supply and demand of ecosystem services were simulated for 2030 under different scenarios. The results showed that the supply capacity of ecosystem services in Quanzhou was greater than the demand in general, but the supply-demand difference showed a gradual decrease. The high-value areas of supply capacity were concentrated in the upstream basin in the non-bay area, while the high-value areas of consumption demand were located downstream of the river basin in the bay area. The supply-demand difference in the bay area was negative, indicating that it was in a state of supply-demand imbalance and that the ecological security was under threat. Among the three simulated scenarios in 2030, the balance between supply and demand declined compared with the results of 2015, with the most serious decline in the natural scenario. The method to quantify the evolution of spatial and temporal patterns in supply and demand of ecosystem services could provide a decision-making reference for natural resource management in Quanzhou. This is conducive to the improvement and establishment of urban ecological security research systems, especially in bay areas that are lacking research.

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Section: Analysis Of Supply and Demand Of Ecosystem Services In Different Scenariosmentioning

confidence: 99%

The Trade-Offs between Supply and Demand Dynamics of Ecosystem Services in the Bay Areas of Metropolitan Regions: A Case Study in Quanzhou, China

Shui

et al. 2021

Land

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“…In a study conducted by Shivaraj Thapa [12] on the Begnas Basin in Nepal, functional value methods were employed to determine the ecosystem service value. Liu [27] analyzed the spatiotemporal evolution of ESVs in the East China Sea Bay based on the modified equivalence factor method. Value assessment methods, on the other hand, have been widely used in ecosystem service evaluation due to their intuitive results and the possibility of aggregating values for different services [28,29].…”

Section: Introductionmentioning

confidence: 99%

Ecosystem Service Value Assessment of the Yellow River Delta Based on Satellite Remote Sensing Data

Li,

Guan,

Fan

et al. 2024

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The Yellow River Delta (YRD) stands as a globally significant wetland, playing a pivotal role in sustaining regional ecosystem stability and offering crucial ecosystem services to humanity. However, anthropogenic activities, particularly resource development, unavoidably disrupt the ecosystem, leading to the degradation of these vital services. Utilizing satellite remote sensing data, the InVEST model, and energy analysis, this study introduces the concept of ‘emergy’ as an ‘intermediate variable’ to investigate the spatiotemporal changes in the ecosystem service value of the YRD. Five distinct types of ecosystem services are selected for quantitative assessment and analysis of the YRD’s spatiotemporal evolution from 1990 to 2020. Results indicate a 63.7% decline in the total value of ecosystem services from 1990 to 2010, followed by a 16.5% increase from 2010 to 2020. The study also unveils spatial shifts in high- and low-value areas of ecosystem services and attributes these changes to rapid urbanization and alterations in land use and cover. The assessment of ecosystem service values concretizes the intangible ecosystem service functions of natural resources. This lays the foundation for establishing a mechanism that combines positive incentives and reverse pressure to achieve the economic valuation of ecosystem service.

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“…Similarly, the ecological footprint method determines the sustainability of ecological compensation by evaluating the supply and demand relationship between humans and ecological resources, but its sustainability is weak [33]. The ecological service value method, which is based on the theory of externalities, bridges the gap between natural ecosystems and economic systems by quantifying the direct or indirect available ecological value used to produce ecosystem services [34]. It quantifies ecological compensation by comparing the non-market ESV per unit area with the GDP per unit area of the area.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis

et al. 2023

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In recent years, the delicate balance between economic development and ecological environment protection in ecologically fragile arid areas has gradually become apparent. Although previous research has mainly focused on changes in ecological service value caused by land use, a comprehensive understanding of ecology–economy harmony and ecological compensation remains elusive. To address this, we employed a coupled deep learning model (convolutional neural network-gated recurrent unit) to simulate the ecological service value of the Wuwei arid oasis over the next 10 years. The ecology–economy harmony index was used to determine the priority range of ecological compensation, while the GeoDetector analyzed the potential impact of driving factors on ecological service value from 2000 to 2030. The results show the following: (1) The coupled model, which extracts spatial features in the neighborhood of historical data using a convolutional neural network and adaptively learns time features using the gated recurrent unit, achieved an overall accuracy of 0.9377, outperforming three other models (gated recurrent unit, convolutional neural network, and convolutional neural network—long short-term memory); (2) Ecological service value in the arid oasis area illustrated an overall increasing trend from 2000 to 2030, but urban expansion still caused a decrease in ecological service value; (3) Historical ecology–economy harmony was mainly characterized by low conflict and potential crisis, while future ecology–economy harmony will be characterized by potential crisis and high coordination. Minqin and Tianzhu in the north and south have relatively high coordination between ecological environment and economic development, while Liangzhou and Guluang in the west and east exhibited relatively low coordination, indicating a greater urgency for ecological compensation; (4) Geomorphic, soil, and digital elevation model emerged as the most influential natural factor affecting the spatial differentiation of ecological service value in the arid oasis area. This study is of great significance for balancing economic development and ecological protection and promoting sustainable development in arid areas.

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Ecosystem service valuation of bays in East China Sea and its response to sea reclamation activities

Cited by 10 publications

References 38 publications

The Trade-Offs between Supply and Demand Dynamics of Ecosystem Services in the Bay Areas of Metropolitan Regions: A Case Study in Quanzhou, China

The Trade-Offs between Supply and Demand Dynamics of Ecosystem Services in the Bay Areas of Metropolitan Regions: A Case Study in Quanzhou, China

Ecosystem Service Value Assessment of the Yellow River Delta Based on Satellite Remote Sensing Data

Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis

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