Analysis of driving forces on wetland ecosystem services value change: A case in Northeast China

Song, Fei; Su, Fangli; Mi, Chenxi; Sun, Di

doi:10.1016/j.scitotenv.2020.141778

Cited by 142 publications

(55 citation statements)

References 49 publications

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“…Mander [12] believed that traditional methods such as economy and currency can only quantify the value of part of the ecology that can be monetized while ignoring some non-monetary values. In addition, scholars' research mostly focus on evaluation of the value of ecosystem services such as forests [13][14][15][16], grasslands [17][18][19], and wetlands [20][21][22], while comprehensive evaluation and calculation of the value of lake ecosystem services are relatively rare. However, value assessments of Hangzhou West Lake [23] and Wuhan East Lake [24] as well as global meta-analysis of the value of ecosystem services provided by lakes [25] were assessed.…”

Section: Introductionmentioning

confidence: 99%

Water Ecosystem Service Quality Evaluation and Value Assessment of Taihu Lake in China

Zhao

Wang

2021

Water

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Taihu Lake is the third largest freshwater lake in China. Water ecosystems play an important role in the survival and development of human society. The evaluation of water ecosystem services is helpful to understand and grasp the changing rules of Taihu Lake’s ecosystem services value in recent years. First, we used the Water Environment Qualities Index (WQI) to evaluate the water ecological quality of Taihu Lake; second, on the basis of the survey data from 2010 to 2018, we combined economic and ecological methods to evaluate the water ecosystem of Taihu Lake. The evaluation system includes four major service functions, 11 second-class evaluation indicators and 19 index factor. Research indicates that, (1) in the past 8 years, the WQI of Taihu Lake increased year by year and Taihu Lake changed from moderate pollution to light pollution; (2) provisioning services are the main service of Taihu Lake’s water ecosystem and the order of various service values was provisioning service value > regulation service value > cultural service value > support service value, with water supply as the core function of provisioning services; and (3) the total values in 2010, 2014, and 2018 were 115.39 billion yuan, 113.31 billion yuan, and 119.96 billion yuan, respectively, showing a trend of first decreasing and then increasing. To a certain extent, the improvement in Taihu Lake’s water ecological quality has led to an increase in the value of regulation services.

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Section: Introductionmentioning

confidence: 99%

Water Ecosystem Service Quality Evaluation and Value Assessment of Taihu Lake in China

Zhao

Wang

2021

Water

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“…Currently, research concerning the driving factors of ESV changes are plentiful [ 37 , 38 , 39 , 40 , 41 ], while direct drivers, such as land use change, and the application of new technologies attracts more attention [ 42 , 43 ]. For example, Liu et al [ 44 ] superimposed the impact of future climate scenarios and land use change on ESs to explore the overall effect of the changes on ESs.…”

Section: Introductionmentioning

confidence: 99%

Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China

Pan

Liang

Chen

et al. 2021

IJERPH

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A sound ecosystem is the prerequisite for the sustainable development of human society, and the karst ecosystem is a key component of the global ecosystem, which is essential to human welfare and livelihood. However, there remains a gap in the literature on the changing trend and driving factors of ecosystem services value (ESV) in karst areas. In this study, Guizhou Province, a representative region of karst mountainous areas, was taken as a case to bridge the gap. ESV in the karst areas was predicted, based on the land use change data in 2009–2018, and the driving mechanisms were explored through the gray correlation analysis method. Results show that a total loss of CNY 21.47 billion ESV from 2009 to 2018 is due to the conversion of a total of 22.566% of the land in Guizhou, with forest land as the main cause of ESV change. By 2025 and 2030, the areas of garden land, water area, and construction land in Guizhou Province will continue to increase, whereas the areas of cultivated land, forest land, and garden land will decline. The total ESV shows a downward trend and will decrease to CNY 218.71 billion by 2030. Gray correlation analysis results illuminate that the total population and tertiary industry proportion are the uppermost, among all the driving factors that affect ESV change. The findings in this study have important implications for optimizing and adjusting the land use structure ecological protection and will enrich the literature on ESV in ecologically fragile areas.

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“…The economic value of ecosystem services is subject to the interactions between ecosystem supply and social demand [12], [13], which is usually quantified by the direct benefit transfer method [12], [14], [15]. At present, NDVI has been effectively applied in assessments of the ecosystem service values [16], [17] of forests, grasslands, wetlands, and so on; however, there are very few studies on island areas.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution Characteristics of Ecosystem Service Values Based on NDVI Changes in Island Cities

Cui

Cai

et al. 2021

IEEE Access

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Vegetation plays a dominant role in and serves as the structural foundation of island-land ecosystems. Island cities, as sea-land ecological complexes, are able to somewhat reflect the general realities of island ecological environments. By using the Landsat series remote-sensing images and an ecosystem service value (ESV) evaluation system, in this paper, the temporal and spatial evolution characteristics of the NDVIs and ESVs of China's 12 island counties over the past three decades are analyzed. According to the research results, (1) The average NDVI of China's island counties dropped from 0.380 to 0.347 in 1990-2018, reflecting a continuous downtrend. The NDVIs of Changhai County and Changdao County show significant changes, with decreases of 45.24% and 37.57%, respectively. (2) The total ESV of China's island counties showed a ''V''-shaped change trend from 1990-2018; the minimum value reached USD 362 million in 2010, then essentially recovered to the 2000 level in 2018. (3) The high and low values of NDVI and ESV in island counties over the years were distributed with the spatial characteristics of high values in the center of the islands and low values at the edges of the islands. The island counties north of the Yangtze River showed the largest changes in NDVI and ESV. (4) Forest cover is the main factor that drives ESV reduction in China's island counties, followed by grassland cover. This study provides an effective method to study the changes in the NDVI and ESV of island cities and proposes the strengthening of island vegetation protection and the promotion of sustainable development in the ecological environments and economies of island cities.INDEX TERMS Spatiotemporal evolution characteristics, ecosystem service values, NDVI, island cities.

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Analysis of driving forces on wetland ecosystem services value change: A case in Northeast China

Cited by 142 publications

References 49 publications

Water Ecosystem Service Quality Evaluation and Value Assessment of Taihu Lake in China

Water Ecosystem Service Quality Evaluation and Value Assessment of Taihu Lake in China

Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China

Spatiotemporal Evolution Characteristics of Ecosystem Service Values Based on NDVI Changes in Island Cities

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