Journal of Environmental Management
Volume 284,
15 April 2021
, 112042
Author links open overlay panel, , , ,
Abstract
Ecosystem services (ESs) play an important supporting role in the development of human society and the economy. Despite the increasing number of ESs quantitative evaluation studies that have been conducted at different scales, the assessment of ESs flows between different administrative regions, which provides valuable implications for ecological protection and compensation, has drawn little attention. The aim of this study is to fill in this gap by providing a comprehensive ES interregional flow analysis method that evaluates ecosystem service values (ESVs) and quantifies the interregional flows in the Yangtze River Delta (YRD), which is home to one of the largest urban agglomerations in China. The results showed that the total ESV of the YRD increased from 2.02E+12 Chinese Yuan (CNY) in 2000 to 2.33E+12 CNY in 2019, a 15.23% increase rate. All types of ESVs displayed an increasing trend during the 20 years. According to the analysis of interregional ES flows in the YRD, Zhejiang province played a crucial role as a service providing area (SPA) for the spatial value transfer at the provincial level in both 2000 and 2019. Anhui province was the largest service benefitting area (SBA) of water conservation and CSOP, while Jiangsu province was the largest SBA of soil retention. The recognition of interregional ESV flows can provide valuable information for environmental planning and management to help improve China's ecological compensation policies for different administrative divisions.
Introduction
Ecosystem services (ESs) generally refer to the benefits that humans acquire from ecosystems, which directly or indirectly ontribute to sustainable human wellbeing (Costanza, 2020; Hasan et al., 2020). In the early stage, Daily (1997) introduced people's cognitive process of ESs and the related research progress in detail. Costanza et al. (1997) classified and valued global ESs at the same year. Based on the former researches, the Millennium Ecosystem Assessment (MA) formally summarized ESs into four categories, namely, provisioning services, regulating services, cultural services, and supporting services (MA, 2005). After the report was submitted, it was widely recognized by scholars worldwide and resulted in numerous related studies. Most of the subsequent studies on the evaluation of ESs have adopted the classification framework proposed in the MA. Since then, for more than two decades, a large number of studies have been conducted on ESs using different scales, such as global, countries, regions, and cities. These studies have included an accounting of the physical quantities and economic values (Costanza et al., 2014; de Groot et al., 2012; Jiang et al., 2020; Sannigrahi et al., 2019).
In recent years, with the deepening of research on ESs, the assessment of ESs has become more detailed and comprehensive, and researchers have attempted to pay more attention to the combinability of evaluation results and actual policy applications. In the aspect of ESs evaluation, Viglizzo et al. (2012) discussed the link to nature in state-controlled and market-controlled policies. The results indicated that both economic and bio-physical valuations of ESs are valuable to compare with social and economic indicators and to make subsequent decisions. Cord et al. (2017) reviewed the literature on ESs relationships and proposed directions for future study. In the aspect of specific ecological projects evaluation, Zheng et al. (2013) evaluated the Paddy Land-to-Dry Land (PLDL) program in Beijing, China. The results showed that this program was a successful example of water users paying upstream landholders to improve water quantity and quality through land use changes. A synthesis study was conducted on the ESs of the Miyun Reservoir, and the results showed that effectively resolved trade-offs among multiple ESs were suggested for the formulation of regional development policies (Zheng et al., 2016). In the aspect of ESs based policy formulation and management, the importance of ES trade-offs analyses was discussed related to the spatial planning of stakeholder choices (Turkelboom et al., 2018). An ecosystem asset account was established based on ESs valuations that offered policy implications for the national government (Vačkářů and Grammatikopoulou, 2019). According to the above research, it can be concluded that in recent years, scholars have conducted in-depth research both on ES method theories and case studies. The value accounting of ESs provides a reference for the formulation of ecological management policies. In addition, when combined with sustainable development policies and an exploration of the trade-offs and synergies between the different types of ESs, the assessment results are more targeted and practical.
Despite the continued growth of research regarding ESs assessments, there have been few studies that have investigated interregional ESs flows (Kleemann et al., 2020). Most of the current ESs accounting research is conducted based on administrative borders, such as countries or cities, while the scope of spatial flows and influence of ESs typically cross regions and administrative boundaries (López-Hoffman et al., 2010). Since ecological policies, like ecological compensation, are typically formulated using different administrative units and implemented within their administrative jurisdiction, the scope of impact of ESs is typically ignored. The ESs flows across administrative regions are not fully quantified and not taken into consideration in policy-making. In fact, cross-administrative ESs flows can benefit multiple administrative units at the same time. Quantifying the impact of interregional ES flows is important, as it will provide evidence to develop metrics and national indicators and inform certification schemes, trade, and natural resource management (Costanza, 2020; Koellner et al., 2019).
In this study, we adopted breaking point theory to analyze the interregional flows of the primary ESs, and it is applied to the Yangtze River Delta (YRD) region as a case study. Breaking point theory is originated from Newton's law of gravity, and has been developed and widely used in economic and social science research, the result is indicating the linkage force among different regions (Anderson et al., 2010; Converse, 1949; Hodder, 1974; Simini et al., 2012). Here we adopt it to qualify the ES flow in the YRD both at provincial and city level with and input of ESVs distribution. In recent years, the breaking point model has also been applied to the research of spatial transfer of ecological assets (Chen et al., 2014; Fan et al., 2007). The YRD contains the largest urban agglomeration in China, as well as one of the most economically developed regions in China (Yu et al., 2020; Zhang et al., 2020). As one of the most economically dynamic regions of China, it is very necessary to pay more attention to its environmental protection and ecological conservation, which has been widely recognized both at local and national level. As one of the key regional economic integration plans in China, to better understand how its intra-regional ESs flow will be crucial for policy formation and eco-environmental governance. The framework of this study by adopting breaking point theory into ESs flow analysis which be potentially useful for ESs evaluations especially when it comes to inter- or intra-regional scale study. The rest of this paper is structured as follows: section 2 presents the methodology and data sources, section 3 Results, 4 Discussion present the results and discussion respectively, section 5 presents the conclusion of this paper.
Section snippets
Study area and data sources
The Yangtze River Delta (YRD) region is located along the east coast of China between 27°1′–35°20′N and 114°5′–123°10′E. The area of the YRD is approximately 358,000km2 and includes one municipality (Shanghai) and three provinces, i.e., Jiangsu, Zhejiang, and Anhui (Fig. 1). In addition to the high level of economic development, the YRD also possesses abundant ecological resources. For example, Zhejiang was ranked as the first ecological province in China in 2020, with a high comprehensive
ESV
The land uses in the YRD in 2000 and 2019 were generated using ArcGIS 10.7, and the result is presented in Supplementary Figure S1. The statistical analysis of the transfer matrix of land use during 2000–2019 is shown in Table 1. The spatial distribution of land use transfer between 2000 and 2019 is represented in Supplementary Figure S2. According to the statistical results in Table 1, the area of forest, grassland, and cropland all show a decreasing trend, indicating that the area of
Discussion
The regional differences for each ESV were significant, with Zhejiang having much higher ESVs for each type than the other regions. This was primarily due to the abundant forest resources and water resources in Zhejiang. The economic value of ecosystems was 1.09E+12 CNY in Zhejiang in 2019, which was 46.59% of the total ESVs in the YRD. During the past 19 years, the spatial pattern of ESVs has changed slightly. The value of soil retention in mountainous areas has become higher, for instance, in
Conclusion
This study quantified the main ESVs in the YRD. The total ESV of the YRD was 2.02E+12 CNY and 2.33E+12 CNY in 2000 and 2019, respectively, indicating an increase of 15.23% of the total YRD's ESVs from 2000 to 2019. The spatial distribution of soil retention, water conservation, and CSOP in the YRD were revealed. The overall trend of the ESVs indicated that they were high in the south and low in the north. This was consistent with the status quo of land use changes, that is, forests and
Credit author statement
Wang, C.: Conceptualization, Methodology, Software, Funding acquisition, Writing – original draft. Li, W., Sun, M.,: Conceptualization, Writing – review & editing. Wang, Y.: Conceptualization, Supervision, Funding acquisition, Project administration, Writing – review & editing. Wang, S.: Formal analysis, Supervision, Writing – review, revision & editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No.71904031; No.71774032), Newton Advanced Fellowship from the British Academy and the Newton Fund (NAFR2180103), and Shanghai Committee of Science and Technology Fund (19DZ1203300 and 19DZ1203304).
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Under a background of unbalanced regional economic development and ecological environments, the accurate identification of ecological compensation (EC) areas and the determination of compensation standards have become research key and hotspots. Their aim is to improve the long-term mechanisms of interregional EC. In this study, ecosystem services value (ESV) in the Beijing-Tianjin-Hebei region (BTH) in 2000, 2010 and 2019 are calculated using modelling and ecological economics methods. The region is divided into ecological output and input areas according to ecosystem services supply and demand. The breakpoint formula and field strength model are introduced to reveal the characteristics of ecosystem services flow (ESF) from output areas to input areas. By integrating a transfer correction coefficient system of natural, economic and social factors, an EC model based on ESF is constructed, and EC amounts for the BTH are calculated. The results are as follows: (1) The ESV of the BTH shows an increasing trend, with little change in spatial distribution characteristics. The high-value areas are distributed in the Taihang and Yanshan Mountains and Bashang Plateau in the northwest, while the low-value areas are concentrated in the Southeast Hebei Plain. (2) ESF mainly occurs in the western and northern regions of the BTH. Output areas are mainly distributed in the Taihang and Yanshan Mountains and Bashang Plateau, and their number is increasing. The flow radius, flow intensity and ESV transfer amounts also show increasing trends. (3) The ratio of EC paid by Beijing, Tianjin and Hebei is 1:0.2:2.56, the EC amounts are all provided to the Hebei Province, and the funds mainly flow to Chengde City, Zhangjiakou City and Baoding City. The proposed EC model based on ESF provides a basis and reference for the construction of an inter-regional EC mechanism in the BTH.
Is China approaching the inflection point of the ecological Kuznets curve? Analysis based on ecosystem service value at the county level
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Citation Excerpt :
However, the ESVs of all six land types are severely reduced, with 19.36%, 32.72%, 32.55%, and 30.24% for farmland, forest, grassland, and watershed, respectively. Wang et al. (2021a) concluded that the influence of population density on the ESVs in the PRD urban agglomeration was gradually increasing. Meanwhile, Jiao et al. (2021) argued that the rapidly increasing population density in the PRD urban agglomeration had a serious impact on ESVs.
Accounting for the ecosystem service values (ESVs) and discussing the relationship between the ESVs and economic development can help achieve sustainable ecological development. Therefore, this paper evaluates the county-level ESVs of various land types in China, and depicts the distribution of ESVs in various urban agglomerations. In addition, the nonlinear relationship between ESVs and economic development is revealed. The main findings are as follows: (1) From 2000 to 2018, the ESVs in China decreased, and the decline rate of ESVs in urban agglomerations is much higher than that of China as a whole. (2) The decline rate of ESVs in core cities is much higher than in urban agglomerations, and the decline rate of ESVs is higher in areas close to core cities and lower in areas far from core cities. (3) The ecological Kuznets curve of China has a positive “U” shape, and the ecological Kuznets curve of urban agglomerations has an “N” shape; the ecological Kuznets curve of core cities has a positive “U” shape, while the ESVs of other cities decreases monotonically with the increase of the economic level.
Predicting payment for ecosystem services regarding land use: A simulation study in China
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Citation Excerpt :
The contribution of construction land to ESV change is relatively low, while that of other types of land is relatively high. This is one of the main reasons for the change of ESV in the study area, which is consistent with the research of Wang et al. (2021). For example, from 2010 to 2020, the water and wetland increased by 68,200 ha and 1000 ha respectively.
Payment for ecosystem services (PES) is an important policy aiming to promote environmental protection. However, existing studies only focus on the historical PES and ignore their predictions, which leads to the mismatch and inefficient use in funds for supporting PES (PES funds). This paper takes the regions of Zhejiang-Jiangsu-Shanghai in China as the study area, and develops a systematic method integrating land-use change, CA-Markov model and ecosystem service value (ESV) model to predict the PES standards and optimizes PES funds allocation from 2025 to 2040. The results show that farmland and forest will be largely transformed into construction land. ESV will increase and its distribution will involve significant spatial differences caused by the increase in wetland, water, and forest, and the equivalent factor. The PES funds obtained by this region are obviously underestimated; Taking ecological gain as the basis for optimizing PES fund allocation, Zhejiang, Jiangsu and Shanghai obtained 274 million USD, 168 million USD and 150 million USD from 2025 to 2040, respectively. This study can provide a reference for governments of developing countries to manage these funds, improve their use efficiency and alleviate regional contradictions.
Natural and anthropogenic factors on China's ecosystem services: Comparison and spillover effect perspective
2022, Journal of Environmental Management
Citation Excerpt :
Proper management of human activities would improve the ecological and natural environment in Northwest China's arid area(Ding and Xingming, 2021; Li et al., 2021). Previous studies on regions or urban agglomerations have proved that mobility in geographic space is the characteristic of ESs(Shen et al., 2020; Wang et al., 2021). In this paper, SLM and SDM are used to verify that ESV, like carbon dioxide, haze, and arable land transformation, has a geographical spillover effect, which is consistent with the conclusion of Kang, Liu and Tang (Kang et al., 2016; Liu et al., 2020; Tang et al., 2021).
With the development of urbanization, ecological space is increasingly disturbed and invaded by human activities. From 2000 to 2020, the value of ecosystem services in China decreased from 28.05 to 27.77 trillion yuan. This paper combines the natural and social data of 370 administrative units in China from 2000 to 2020 with the GTWR model. Our results show that in most regions of China, the coefficient value of factor GDP or POP is significantly higher than that of other factors. The regions with higher natural factors coefficient value are concentrated in the northwest and southeast. In addition, this study found that the driving factors and ESV have geographical spillover effects. The above conclusions have important practical significance for planning policies according to local conditions.
Systematic review of ecosystem services flow measurement: Main concepts, methods, applications and future directions
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Studying the whole process of ecosystem services (ES) realization by people (ecosystem services flow) is the key to ES management. However, varying concepts of relative ecosystem services flow (ESF) and different methods for measuring ESF have prevented its effective application in policy and management. In addition, there has been no systematic review of the concepts, methods and application of ESF. To address this research gap, we conducted a systematic review of ESF measurement, focusing on the main concepts, methods and applications. We used the key words ““ecosystem service*” AND (“flow*” OR “delivery*”)” in the core collection of the ISI Web of Science databases, with the aim of synthesizing the concepts, methods and applications of ESF. We propose future research directions to move the field of ESF toward a more accepted and consistent set of terminology and scientific practice. Eighty-two case studies were eventually selected for the review. We found that different understandings of the definition of ESF (actual use amount as flow, spatial connection as flow, flow process as flow and other flow) resulted in different measurement methods. Measuring the whole process of ESF may help us measure nature’s contribution to people, understand the relationship between supply and demand, which will facilitate the development of regional planning and policies (e.g. spatial conservation planning, infrastructure planning, interregional management), and in turn increase ESF. To effectively apply ESF in the future, first, we recommend combining existing flow definitions and redefining ESF as the whole ESF realization process with more focus on human needs. Second, ecological process-based dynamic models should be developed or improved to assess ESF by integrating the beneficiaries. Third, we should consider the impacts of both natural and human-derived capital on the delivery of ESF and ways to strengthen interregional flow management. Overall, this article contributes to a more comprehensive understanding of the definition, methods and application for measuring ESF, which in turn will inform ES policy implementation.
Inter-regional ecological compensation in the Yellow River Basin based on the value of ecosystem services
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Ecological compensation in the Yellow River Basin aims to improve its ecological and environmental management capacity. Based on data on land-use changes in the Yellow River Basin from 2010 to 2020, this study used the equivalent factor method to assess the value of ecosystem services in the basin. This was measured at three spatial scales in the upper, middle, and lower reaches, encompassing; nine provinces and 72 cities. The priority and amount of ecological compensation were determined for the Yellow River Basin regions. Results show that (1) The total value of ecosystem services in the Yellow River Basin increased from 1798.317 billion yuan in 2010 to 1838.259 billion yuan in 2020. Grasslands had the highest total ecosystem service value in 2020, accounting for 46.11%. (2) The value of ecosystem services in the Yellow River Basin region is upstream>midstream>downstream. Qinghai Province has the highest value of ecosystem services among the nine provinces, and the level of economic development in each region is inversely correlated with the value of ecosystem services. (3) The ecosystem service value and the economic development level of the cities in the Yellow River Basin are positively and negatively correlated with the priority of ecological compensation, respectively. Among them, the cities in the upper reaches are the most urgent targets for national ecological compensation. (4) The total ecological compensation in the Yellow River Basin in 2020 was approximately 122.63 billion yuan. Further, the amount of vertical ecological compensation to be paid by the state was approximately 114.673 billion yuan, and the horizontal compensation to be borne between provinces was approximately 7.957 billion yuan. The findings of this study provide novel insights into improving ecological compensation in the Yellow River Basin regions.
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