Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland

Long, Xiangren; Lin, Hui; An, Xuexian; Chen, Shudan; Qi, Shuaiyang; Zhang, Meng

doi:10.1016/j.ecolind.2022.108619

Cited by 112 publications

(39 citation statements)

References 38 publications

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“…ESV in the study area reached its peak in 2018. This may be attributed to the increase in precipitation, which provided sufficient water for the growth of vegetation and crops (Long et al, 2022). At the same time, the construction of new roads also enabled the transmission of Frontiers in Environmental Science frontiersin.org human and material resources, which was also conducive to the growth of vegetation (Klarenberg et al, 2018;Carvalho and Szlafsztein, 2019).…”

Section: Influencing Factors and Strategies Based On Spatial Correlationmentioning

confidence: 99%

Spatiotemporal evolution and driving forces of ecosystem service value and ecological risk in the Ulan Buh Desert

Liu

Wang

Sun

et al. 2023

Front. Environ. Sci.

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A clear understanding of the spatiotemporal evolution and driving factors of ecosystem service value (ESV) and the landscape ecological risk index (ERI) can effectively link human well-being and ecosystem security, which is essential for sustainable ecosystem management. Based on multitemporal land use data (1990, 2000, 2010, and 2018), the spatiotemporal evolution of ESV and the ERI in the Ulan Buh Desert was evaluated. The driving forces of ESV and the ERI were quantitatively evaluated by the Geodetector model. The results show that 1) from 1990 to 2018, total ESV in the Ulan Buh Desert increased from 7.00×108 yuan to 11.09×108 yuan. Low-ESV areas accounted for approximately 72.28% of the study area. High-ESV and moderate-high-ESV areas were mainly distributed along the Yellow River and the northeastern region. 2) During the study period, the ecological risk of the Ulan Buh Desert generally decreased; only the ecological risk of the northeastern region improved significantly, and high-risk areas were mainly distributed across sand dunes located in the middle of the desert. 3) There was a negative correlation between ESV and the ERI in the study area, and the main relationship was low value-high risk. 4) Driving force analysis results show that natural and human impact factors jointly affected the spatiotemporal differentiation of ESV and the ERI in the Ulan Buh Desert. Among the influencing factors, the interaction between the distance to a highway and annual precipitation had the strongest impact. The implementation of relevant policies in the study area should be guided by ESV and the ERI, and the protection and restoration of various ecosystems in the study area must be strengthened.

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Section: Influencing Factors and Strategies Based On Spatial Correlationmentioning

confidence: 99%

Spatiotemporal evolution and driving forces of ecosystem service value and ecological risk in the Ulan Buh Desert

Liu

Wang

Sun

et al. 2023

Front. Environ. Sci.

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“…The non-wetlands in this study include forest, grassland, construction land and unused land. Zhang et al [49] and Long et al [50] believed that the conversion of wetlands into paddy fields and the conversion of paddy fields into non-wetlands could be considered a kind of damage. To better analyze the damage or recovery degree of wetland changes in the GBA, we set a definition of five types for wetland changes.…”

Section: ) Identification Of Wetland Change Typesmentioning

confidence: 99%

Assessing and Characterizing Carbon Storage in Wetlands of the Guangdong–Hong Kong–Macau Greater Bay Area, China, During 1995–2020

Deng

Jiang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Wetland carbon storage plays an essential role in the global carbon cycle. However, in recent decades, intensive human activities and rapid urbanization have reduced wetland C stocks in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA). Long-term assessment of carbon storage in the wetland ecosystems of the GBA is needed for promoting regional sustainable development. Therefore, we proposed a framework integrating the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model and water inundation frequency, which was retrieved via multiple index water detection rule (MIWDR) based on Google Earth Engine platform, to estimate yearly carbon storage in wetlands across the GBA at a 30-m spatial resolution during 1995~2020. The incorporation of water inundation frequency in estimating carbon storage in wetlands presents features of long time series and higher temporal frequency. The results showed that: (1) the carbon storage of wetlands estimated by the InVEST model decreased from 33.38 Tg•C to 16.64 Tg•C between 1995 and 2020 in the GBA, mainly owning to the loss of paddy fields. (2) There is a significant exponentially decreasing relationship between water inundation frequency and carbon storage density within the potential wetland extent, with the R 2 reaching 0.998, which denotes huge potential for estimating wetland carbon storage; (3) annual wetland carbon storage estimated were divided into three main stages: a rapidly increasing period (1995-2004), a falling period (2005-2013) and a slightly fluctuating period (2015-2020). This research may provide references for supporting decision-making in implementing wetland-related sustainable development and carbon-neutrality policies in the GBA.

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“…Based on the global equivalent factor table proposed by Costanza et al [ 5 ], a large number of studies on ecosystem service values (ESVs) have emerged [ 39 , 40 ]. ESVs have been assessed at different scales, including regions [ 41 , 42 , 43 ], basins [ 44 , 45 , 46 ], coastal areas [ 47 , 48 ], island [ 49 ], and cities [ 50 , 51 ], and for different ecosystem types such as forest [ 52 , 53 ], grassland [ 54 ], plateau [ 55 ], lake [ 56 , 57 ], wetland [ 58 , 59 ], farmland [ 60 , 61 ], and ocean [ 62 ]. Although a large amount of research work has been conducted on the valuation methods of ESVs [ 5 , 63 , 64 ], a unified valuation system has not yet been formed [ 65 , 66 , 67 ], and the differences in methods have led to large differences in research results, thus limiting the objective perception of ES functions and their values.…”

Section: Introductionmentioning

confidence: 99%

Study on the Evaluation and Assessment of Ecosystem Service Spatial Differentiation at Different Scales in Mountainous Areas around the Beijing–Tianjin–Hebei Region, China

Yang

Cao

Hou

2023

IJERPH

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Ecosystem services are closely related to human wellbeing—which refers to the basic material conditions required to maintain high standards of quality of life, of health, and of safety and security, as well as good social relationships, and freedom of choice and action—and have a high potential value. The adequate valuation of ecosystem service values (ESV) is now an urgent need for the implementation of policy measures such as ecosystem asset management, ecological compensation and paid use of ecosystem services. Based on the method of ecosystem value equivalent factor per unit area, in this paper we investigated the variability of total ESV spatial distribution and regional differences in the value of 11 ecosystem service types provided by ecosystems in the mountainous areas of the Beijing–Tianjin–Hebei (BTH) region at different spatial scales and discussed the relationship between ESV and land use land cover (LULC). The results show that the total ESVs in 2015 and 2020 in the mountainous areas of BTH region were 5671 × 108 CNY and 6381 × 108 CNY, respectively. The change trend of each ecosystem service value from 2015 to 2020 was dominated by an increase of water supply service, and the maintenance of soil and nutrient cycle services in the mountainous area of BTH and the Yanshan Mountain (YSM). The change patterns of the value of ecosystem service categories in the Taihang Moutain (THM) and Bashang region (BSR) are dominated by an increase in the value of maintained soil and water supply services and a decrease in the value of regulating services. The calculation of ESV can be made more accurate by considering climate and vegetation conditions at the region, ecosystem, county or township scales rather than at grid scale, as, for calculating the interannual variation of total ESV, the spatial scale variability is large. The assessment of ESVs is important from the point of view of planning the use of the environment, of spatial planning, and of nature conservation. The ecosystem service of woodland and water bodies are more prominent compared with other land-use types and construction land and bare land provide the lowest value of service. There is some similarity between the value changes of ecosystem service categories and the distribution of LULC types. This study strengthens the understanding of the spatial scales of different ESV in mountain areas, which is beneficial to ecosystem management policies.

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Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland

Cited by 112 publications

References 38 publications

Spatiotemporal evolution and driving forces of ecosystem service value and ecological risk in the Ulan Buh Desert

Spatiotemporal evolution and driving forces of ecosystem service value and ecological risk in the Ulan Buh Desert

Assessing and Characterizing Carbon Storage in Wetlands of the Guangdong–Hong Kong–Macau Greater Bay Area, China, During 1995–2020

Study on the Evaluation and Assessment of Ecosystem Service Spatial Differentiation at Different Scales in Mountainous Areas around the Beijing–Tianjin–Hebei Region, China

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