Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China

Dai, Xiaoai; Johnson, Brian Alan; Luo, Penglan; Yang, Kai; Dong, Linxin; Wang, Qiang; Liu, Chao; Li, Naiwen; Lü, Heng; Ma, Lei; Yang, Zhengli; Yao, Yuanzhi

doi:10.3390/rs13020207

Cited by 37 publications

(14 citation statements)

References 51 publications

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“…The ecosystem service value (ESV) is an important indicator used to measure regional sustainable development. Clarifying the influencing factors of ecosystem service functions is a prerequisite for rational ESV management, the regulation of ecosystem service functions, and optimal decision making [ 8 , 9 ]. Thus, this topic has attracted the attention of many ecologists and economists.…”

Section: Introductionmentioning

confidence: 99%

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Guo

Gao

Zhou

et al. 2021

IJERPH

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Water conservation areas play an important role in regional ecological security patterns. The Funiu Mountain water conservation area is located in the densely populated central region of China, where human disturbance to the ecosystem is strong and ecosystem services are facing a very serious situation. Identifying and evaluating the factors leading to changes in the ecosystem service value (ESV) of the Funiu Mountain water conservation area can provide scientific guidance for ecological management and sustainable development. Using multi-source data and machine learning methods, our research reveals the characteristics of the spatio-temporal variation in the ESV, constructs a system of ESV influencing factors from the comprehensive perspectives of the natural environment and human activities, and discusses the comprehensive effects of the influencing factors on the Funiu Mountain area from 2000 to 2015. The results are as follows. (1) From 2000 to 2005, the ESV increased 375 million yuan, and from 2005 to 2015, it decreased 154 million yuan. (2) Hydrological regulation, biodiversity maintenance, soil conservation, gas regulation, and climate regulation were the main types of ecosystem services in the Funiu Mountain area. (3) The ESV was influenced by the comprehensive effects of the natural environment and human activities. Population was the most important influencing factor of the ESV; in addition, the normalized difference vegetation index (NDVI), precipitation, and economic factors had important influences on the ESV. (4) With the intensification of human activities, humanistic factors have surpassed the relatively stable natural factors, becoming the main factors of the ESV. With economic development, the effect of human activities on the ESV may be further intensified in the future.

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Section: Introductionmentioning

confidence: 99%

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Guo

Gao

Zhou

et al. 2021

IJERPH

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“…Over the past decades, rapid urbanization has altered the natural cover on land surfaces by converting extensive areas of natural and seminatural lands into urban lands ( Jiang, Deng & Seto, 2013 ; Song, Pijanowski & Tayyebi, 2015 ; Su, Guo & Hong, 2019 ). Such conversion eventually causes a significant reduction in CS ( Dai et al, 2021 ; Grimm et al, 2008 ; Li et al, 2020a ; Wang et al, 2018b ; Zhang et al, 2012 ; Zhu et al, 2021 ) and leads to severe environmental consequences and ecosystem degradation at multiple scales ( Cao et al, 2015 ; De Carvalho & Szlafsztein, 2019 ; Tang et al, 2021 ). Moreover, the urbanization rate in China is predicted to reach 65.73% by 2030, which will place huge pressure on the urban ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Zhang

Wang

ChunLei

et al. 2022

PeerJ

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Carbon storage (CS) is closely linked to the global challenge of climate change. Land use/cover (LULC) change is the main factor driving changes in CS, and evaluating the impact of LULC changes on CS is important for carbon balance. Taking Jiangsu Province as an example, we used the Integrated Valuation of Ecosystem Services and Trade-offs model to analyze the spatiotemporal changes in CS during 2000–2015. Then we coupled it with the patch-generating land use simulation model to simulate and predict LULC and CS in 2050 under four different development plans. The results showed that LULC change in Jiangsu Province was manifested mainly as transformation of cropland to construction land (3,485 km2) and cropland to water body (470 km2). The high value area for CS was concentrated mainly in forest land, water body and grassland, whereas the low value area was concentrated mainly in construction land. During 2000–2015, CS decreased by 0.23 Tg, and during 2015–2050, CS was predicted to decrease by 0.16, 1.69, 0.02, and 0.10 Tg under the baseline, fast, slow and harmonious development scenarios. The conversion of a large amount of cropland to construction land was the main cause of CS loss. In all scenarios, the carbon loss was the largest in southern Jiangsu and lowest in central Jiangsu. It is necessary to balance the conflict between economic development and ecological protection during the process of urbanization. This study can provide an important reference for decision makers during the formulation of regional development models and ecological management strategies.

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“…Previous studies have analyzed the relationship between land use change and ESVs on the one hand [ 53 , 54 , 55 ], and the relationship between regional ESVs and driving factors on the other hand [ 56 , 57 ]. Therefore, the value coefficient and evaluation model were modified according to the actual situation in the study area.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China

Shao

Xian

2022

IJERPH

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Sichuan Province is an important ecological barrier in the upper reaches of the Yangtze River. Therefore, it is critical to investigate the temporal and spatial changes, as well as the driving factors, of ecosystem service values (ESVs) in Sichuan Province. This paper used land use data from 2000, 2005, 2010, 2015, and 2020 to quantify the spatiotemporal changes in the ESVs in Sichuan Province. Correlation coefficients and bivariate spatial autocorrelation methods were used to analyze the trade-offs and synergies of ESVs in the city (autonomous prefecture) and grid scales. At the same time, we used a Geographical Detector model (GDM) to explore the synergies between nine factors and ESVs. The results revealed that: (1) In Sichuan Province, the ESVs increased by 0.77% from 729.26 × 109 CNY in 2000 to 741.69 × 109 CNY in 2020 (unit: CNY = Chinese Yuan). Furthermore, ecosystem services had a dynamic degree of 0.13%. Among them, the ESVs of forestland were the highest, accounting for about 60.59% of the total value. Among the individual ecosystem services, only food production, environmental purification, and soil conservation decreased in value, while the values of other ecosystem services increased. (2) The ESVs increased with elevation, showing a spatial distribution pattern of first rising and then decreasing. The high-value areas of ESVs per unit area were primarily distributed in the forestland of the transition area between the basin and plateau; The low-value areas were distributed in the northwest, or the urban areas with frequent human activities in the Sichuan Basin. (3) The tradeoffs and synergies between multi-scale ecosystems showed that ecosystem services were synergies-dominated. As the scale of research increased, the tradeoffs between ecosystems gradually transformed into synergies. (4) The main driving factors for the spatial differentiation of ESVs in Sichuan Province were average annual precipitation, average annual temperature, and gross domestic product (GDP); the interaction between normalized difference vegetation index (NDVI) and GDP had the strongest driving effect on ESVs, generally up to 30%. As a result, the distribution of ESVs in Sichuan Province was influenced by both the natural environment and the social economy. The present study not only identified the temporal and spatial variation characteristics and driving factors of ESVs in Sichuan Province, but also provided a reference for the establishment of land use planning and ecological environmental protection mechanisms in this region.

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Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China

Cited by 37 publications

References 51 publications

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Factors of the Ecosystem Service Value in Water Conservation Areas Considering the Natural Environment and Human Activities: A Case Study of Funiu Mountain, China

Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China

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