Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China

Zhang, Zhiping; Xia, Fuqiang; Yang, Degang; Huo, Jinwei; Wang, Guiling; Hong-xing, Chen

doi:10.1016/j.ecolind.2019.105826

Cited by 118 publications

(73 citation statements)

References 65 publications

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“…Determining the value of the standard equivalent was the premise of applying the equivalent factor method. Most studies determine the value of the standard equivalent through the average area and average price of grain for many years [37,38]. However, the accuracy of these studies was usually restricted by a large error of the statistical data in the early stage.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Land Use Change on Ecosystem Service Value in the Upstream of Xiong’an New Area

2020

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The development of the Xiong’an New Area is a crucial strategy for the next millennium in China. The ecosystem upstream of the Xiong’an New Area, serving for the development of the Xiong’an New Area, changed with land use changes. To analyze the contribution rate of the land use change to the ecosystem service value, we analyzed the land use changes of three small watersheds (7318.56 km2) upstream of the Xiong’an New Area based on a total of six phases of land use data from 1980 to 2015. Then, the ecosystem service value (ESV) was calculated using the equivalent factor method. The results showed that the construction land and arable land were the largest land use types that increased and decreased in the area of the study area, respectively. The grassland and construction land were the land use types with the largest transfer-out area and transfer-in area, respectively. The regulating services accounted for the largest proportion of total ESV among different ecosystem service functions, and the grassland and woodland accounted for the largest proportion of total ESV among different land use types. ESV in the study area fluctuated slightly from 1980 to 2015. The decrease of ESV mainly occurred in the surrounding areas of mountain towns, and the conversion of cultivated land to construction land was the main reason for the decrease of ESV in this area. The conversion of grassland to construction land had the largest contribution rate to the decrease of ESV in the study area, while the conversion of grassland to waters had the largest contribution rate to the increase of ESV. In conclusion, controlling the development of construction land and strengthening water resources’ protection may improve the ecosystem service value in the upstream Xiong’an New Area in the future.

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Section: Discussionmentioning

confidence: 99%

The Impact of Land Use Change on Ecosystem Service Value in the Upstream of Xiong’an New Area

2020

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“…This study first analyzed the land-use and land-cover change characteristics and measured the ESV using the land-use and -cover change data in Hunan Province from 2000 to 2018 [14,[46][47][48][49]. Then, the spatial pattern of the sensitivity coefficients of different land use types in Hunan Province in 2018 was determined to verify the feasibility of the evaluation results [50][51][52]. The spatial interactions between the ESV and economic development were measured by bivariate spatial autocorrelation models [53,54].…”

Section: Methodsmentioning

confidence: 99%

Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China

et al. 2021

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Sound ecosystems are a precondition for the sustainable survival and development of human society. However, ecological deterioration caused by socioeconomic activities can result in increasing pressure on ecosystems. Exploration of the spatial interaction between ecosystem and economic development under the background of high-quality and green development is, therefore, necessary. In this study, we analyzed the spatial interaction between the ecosystem services value (ESV) and economic development with the economic and ecological coupling index method based on high-resolution remote-sensing land-use data and socioeconomic statistical data in Hunan Province from 2000 to 2018. The results revealed that the ESV provided by the ecosystems in Hunan Province decreased by US$1256.166 million from 2000 to 2018. The areas with high ESV per unit area were distributed in the mountainous areas, while the areas with low ESV per unit area were distributed in the major cities and their surroundings. The bivariate spatial autocorrelation analysis showed that the ESV had significant spatial dependence on the economic development. In addition, the coupling analysis documented that the relationship between the ESV and economic density was mostly in the low conflict and potential crisis states. These results provide important guidance for the coordinated development of the regional economy and ecosystem conservation.

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“…These effects are particularly significant in arid regions. Zhang et al (2020) shows that the population showed a sharp increase in NTMEZ from 1980 to 2015, especially during the "Western Development" period, which led to a sharp increase in the population in 2001. Population growth led to the overexploitation of water body, cropland and built-up land to meet demands of water, food, energy and land (Granit et al, 2012).…”

Section: Impact Of Lucc Change On Esvmentioning

confidence: 98%

“…The advantages of using the CA-Markov model in predicting large-scale ESV were demonstrated. However, the study is based on the assumption that the land use policy is basically unchanged (Zhang et al, 2020), and the natural and human driving factors of LUCC are selected based on the existing research results and experience (López-Marrero et al, 2011). The lack of quantitative analysis of the assumed conditions and the influence of various factors may cause certain e rrors in the prediction results (Kindu et al, 2016;Cao et al, 2018).…”

Section: Limitations and Future Workmentioning

confidence: 99%

“…However, the spatial heterogeneity of ecosystem structure eventually leads to the spatial heterogeneity of ESF ( Wilson & Howarth, 2002 ; Kindu et al, 2016 ). Since the limitations and uncertainties of land use and land cover changes (LUCC) are ignored, and simply using the global value coefficient to estimate the small-scale ESV limits the accuracy of the assessment ( Zhang et al, 2020 ). Based on the results of Costanza et al (2014) and Xie et al (2010) , it is an important issue to adjust the equivalent factor to a small scale and reflect the changing relationship between LUCC and ESV based on the social and economic status quo.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal variation of ecosystem services value in the Northern Tianshan Mountain Economic zone from 1980 to 2030

Shi

Halik

Mamat

et al. 2020

PeerJ

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Rapid agricultural land expansion and urbanization have accelerated land use and land cover changes (LUCC) in the Northern Tianshan Mountain Economic Zone and have significantly impacted on the ecosystem services (ESs). However, the spatiotemporal variations of ecosystem service value (ESV) to LUCC are not well understood. Based on the land use and land cover (LULC) data from 1980 to 2019, we used a CA-Markov model to predict LUCC in 2020 and 2030, assess the spatial-temporal changes of ESV and LULC during 1980–2030, and explore the elastic response of ESV to LUCC. We found that cropland and built-up land expanded rapidly by 34.38% and 196.66%, respectively between 1980 and 2030, while grassland and unutilized land decreased significantly by 11.45% and 10.26%, respectively. The ESV of water body, cropland, grassland and forestland accounts for more than 90% of the total ESV. Our research shows that the ESV of cropland increased 32 million yuan from 1980 to 2030, mainly due to the expansion of cropland area. However, the loss caused by the reduction of grassland area was 45 million yuan. Water conservation, waste treatment, soil formation and retention, and biodiversity conservation are the primary ecosystem service function, accounting for 71.82% of the total ESV. Despite notable increases in the ESV from 1980 to 2010, grassland degradation still remains a main ecological and environmental issue from 2010 to 2030. The results suggest that effective land use policies should be developed to control the expansion of croplands and protect water body, grassland and forestland to maintain more sustainable ESs.

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Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China

Cited by 118 publications

References 65 publications

The Impact of Land Use Change on Ecosystem Service Value in the Upstream of Xiong’an New Area

The Impact of Land Use Change on Ecosystem Service Value in the Upstream of Xiong’an New Area

Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China

Spatio-temporal variation of ecosystem services value in the Northern Tianshan Mountain Economic zone from 1980 to 2030

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