Highest Ecosystem Service Value Research Articles

Responses of Ecosystem Services to Land Use/Cover Changes in Rapidly Urbanizing Areas: A Case Study of the Shandong Peninsula Urban Agglomeration

The rapid expansion of built-up land, a hallmark of accelerated urbanization, has emerged as a pivotal factor contributing to regional climate change and the degradation of ecosystem functions. The decline in ecosystem service value (ESV) has consequently garnered significant attention in global sustainable development research. The Shandong Peninsula urban agglomeration is crucial for promoting the construction of the Yellow River Economic Belt in China, with its ecological status increasingly gaining prominence. This study investigated the ESV response to land use/cover change (LUCC) through the elasticity coefficient in order to analyze the degree of disturbance caused by land use activities on ecosystem functions in the Shandong Peninsula urban agglomeration. This analysis was based on the examination of LUCC characteristics and ESV from 1990 to 2020. The findings reveal that (1) the Shandong Peninsula urban agglomeration experienced a continuous increase in the proportion of built-up land from 1990 to 2020, alongside a highly complex transfer between different land use types, characterized by diverse transfer trajectories. The most prominent features were noted to be the rapid expansion of built-up land and the simultaneous decline in agricultural land. (2) The analysis of four landscape pattern indices, encompassing Shannon’s diversity index, indicates that the continuous development of urbanization has led to increased fragmentation in land use and decreased connectivity. However, obvious spatial distribution differences exist among different districts and counties. (3) The ESV was revised using the normalized difference vegetation index, revealing a slight decrease in the total ESV of the Shandong Peninsula urban agglomeration. However, significant differences were observed among districts and counties. The number of counties and districts exhibiting low and high ESVs continuously increased, whereas those with intermediate levels generally remained unchanged. (4) The analysis of the elasticity coefficient reveals that LUCC exerts a substantial disturbance and influence on ecosystem services, with the strongest disturbance ability occurring from 2000 to 2010. The elasticity coefficient exhibits obvious spatial heterogeneity across both the entire urban agglomeration and within individual cities. Notably, Qingdao and Jinan, the dual cores of the Shandong Peninsula urban agglomeration, exhibit markedly distinct characteristics. These disparities are closely related to their development foundations in 1990 and their evolution over the past 30 years. The ESV response to LUCC displays significant variation across different time periods and spatial locations. Consequently, it is imperative to formulate dynamic management policies on the basis of regional characteristics. Such policies aim to balance social and economic development while ensuring ecological protection, thereby promoting the social and economic advancement and ecological environment preservation of the Shandong Peninsula urban agglomeration.

Dynamic Changes in Ecosystem Service Value and Ecological Compensation in Original Continuous Poverty-Stricken Areas of China

The original contiguous poverty-stricken areas of China (OCPSAC) are a regional complex with natural and human attributes. Their ecosystem services are highly complex in their contribution to human well-being. The region’s ecosystem is unstable and socio-economic development is unbalanced, making it a key area for research and the implementation of the United Nations Sustainable Development Goals. Therefore, it has become the focus of social attention. This study obtained satellite remote sensing images of the Landsat8 based on the Google Earth Engine. The dynamic characteristics of the spatial and temporal distribution of the OCPSAC’s land use changes in 2015 and 2022 were analyzed. The characteristics of the changes in ecosystem service value (ESV) were quantitatively evaluated through the revised ESV equivalent scale, and the ecological compensation (EC) standards and EC priority level suitable for the region were explored. The research results showed that: (1) the OCPSAC land use types were mainly grassland, forests, and deserts, accounting for more than 80% of the research area; (2) the OCPSAC’s ESV reached CNY 115.578 billion, and the Tibet Region (TR) and Tibetan Region of Four Provinces (TRFP) had the highest ESVs, accounting for 32.28% and 19.64%, respectively. Among individual ESVs, hydrological regulation (HR) and climate regulation (CR) had the highest values, accounting for 55.23% of the research area; (3) the ESV of the research area presented the characteristics of being high in the middle and low at both ends. From the terrain perspective, the areas with a higher ESV per unit area were distributed in the second altitude gradient, followed by China’s third altitude gradient, and the first altitude gradient was the lowest; (4) in the period of 2015–2022, the ESV increased by CNY 21.39 billion, of which TR’s ESV increased by CNY 17.44 billion. From the perspective of a single ESV, the value of waste treatment (WT), HR, nutrient cycle (NC), and provide aesthetic landscape (PAL) increased by CNY 24.38 billion; and (5) in 2022, the EC standard of the OCPSAC was CNY 917.14 billion. High-EC-value areas were mainly distributed in TR and TRFP, accounting for 72.79% of the total compensation amount, of which only TR’s EC amount exceeded a GDP of 2022, accounting for 4.77% of the total compensation. The purpose of this study was to provide a reference for ecosystem sustainability and EC.

Spatial and temporal differentiation and coupling analysis of land use change and ecosystem service value in Jiangsu Province

A detailed exploration of the nexus between land use change (LUC) and ecosystem service value (ESV) at the urban level is crucial for fostering high-quality urban economic growth alongside the sustainable management of land resources. This study focuses on Jiangsu Province, employing an enhanced and refined ESV assessment model to perform a dynamic examination of the spatial and temporal variations in land use and ESV across the region from 2000 to 2020. Additionally, it delves into the intricate coupled coordination dynamics between land use intensity and ESV by developing a coupled coordination model. Key findings include: (1) Jiangsu Province experienced notable land use transformations over the two decades, with a marked reduction in cropland and a significant expansion of construction sites being the most prominent shifts. (2) The ESV in Jiangsu Province has exhibited fluctuating trends over the past 20 years, with water bodies and agricultural lands serving as the cornerstone for the province's ESV. Areas with high ESV are predominantly located around the Yangtze River's water bodies, along the coastline, and around lakes and radiate outward from these aquatic centers. (3) The coupling between LUC and ESV in Jiangsu Province has been upward, albeit with pronounced city disparities. This coupling displays distinct spatial patterns, characterized by higher levels in the east and lower levels in the west, as well as higher levels in the north and lower levels in the south. The outcomes of this analysis offer valuable insights and policy recommendations for enhancing land use planning, refining land use configurations, and promoting the synergistic development of land use and ecosystem service functions in Jiangsu Province.

Spatiotemporal differentiation of the ecosystem service value and its coupling relationship with urbanization: A case study of the Lanzhou-Xining urban agglomeration

Urbanization is a key factor that threatens the stability of ecosystem services (ESs), which are crucial for maintaining ecological security and enhancing human quality of life. Gaining insight into the spatiotemporal differentiation of the ecosystem service value (ESV) and its coupling relationship with urbanization is a key issue in promoting sustainable regional development. We employed various algorithms, including the improved equivalence factor method, random forest model, mixed geographically and temporally weighted regression model, and coupling coordination degree (CCD) model, to reveal the spatiotemporal evolution of the ESV and its driving mechanisms in the Lanzhou-Xining urban agglomeration (LXUA) from 1980 to 2020. In addition, we explored the coupling relationship between ESV and the combined urbanization index (CUI). The results showed the following: (1) From 1980 to 2020, the interannual variation in ESV first decreased and then increased, with an increase of 230 million yuan/annum in 2020 compared to that of 1980. Spatially, the ESV exhibits a distribution pattern of high in the south and low in the north, and high in the west and low in the east. (2) Land use intensity (LUI) and elevation contributed degree values exceeding 20% to the ESV and were the most important drivers of the ESV. (3) From 1980 to 2020, the average CCD values of the ESV and CUI transitioned from being severely unbalanced (0.19) to being slightly balanced (0.42). There was a negative spatial correlation between the ESV and CUI, with each cluster type was distributed discretely in space. Our study emphasizes that in areas characterized by robust ecosystem integrity and a high ESV, the increase in LUI was constitutes the main reason for the decline in the ESV. The findings of this study can provide a scientific basis for the coordinated development of ESVs and urbanization in the LXUA and other cities.

Research on the Spatiotemporal Dynamic Relationship between Human Activity Intensity and Ecosystem Service Value in the Three Gorges Reservoir Area

The Three Gorges Dam project and other human activities, including regional urbanization and industrialization, have had a substantial influence on the biological environment of the Three Gorges Reservoir Area (TGRA). They have changed the surface land use pattern, disrupted ecosystem structure and function, and influenced changes in the value of ecosystem services. The human activity intensity (HAI) assessment model, the ecosystem services value (ESV) assessment model, and the bivariate spatial autocorrelation model were used based on the spatiotemporal evolution data of towns along the Yangtze River in the TGRA in 1995, 2000, 2005, 2010, 2015, and 2020. At the same time, the spatiotemporal impact of the HAI on land use patterns was evaluated and the magnitude of the spatiotemporal influences on the ESV was investigated. The findings demonstrate the following: (1) The TGRA’s higher reaches are occupied by forested land, while the middle and lower portions are characterized by agricultural land. Land change in the reservoir region has mostly featured transitions between wooded land, agricultural land, grassland, and building land during the last 25 years. Because of differences in natural geography and administrative divisions, the intensity of human activity in the TGRA changes throughout the Yangtze River, with higher intensity in Chongqing and lower intensity in Hubei. By comparing the ESV and the HAI and validating with Moran scatter plots, it was determined that there is a negative relationship between the value of ecosystem services and the intensity of human activities. (2) The ESV rose from CNY 1017.16 × 108 in 1995 to CNY 1052.73 × 108 in 2020, suggesting that the policies of converting farmland back into forests, eliminating outdated production capacity, and developing green industries, among other ecological conservation measures, are effective. (3) In the research area, the effect coefficient of HAI on ESV ranges from −0.02 to −0.032 to −0.031. This coefficient represents the correlation between the HAI and ESV and can preliminarily judge the change in the degree of correlation between the HAI and ESV. The increase in HAI leads to a decrease in the value of ecosystem services, and there is a clear negative spatial correlation between the two. The low human activity area and low ecosystem service value area in the Chongqing section have been transformed into a high ecosystem service value area through years of returning farmland to forest and ecological management measures for sustainable development.

Variations in ecosystem service value in response to land use changes in Dhaka and Gazipur Districts of Bangladesh

Urban sprawl is a global phenomenon that has resulted in a substantial impact on ecosystem services. This study assessed how land use changes have affected the ecosystem services in Dhaka and Gazipur districts, two important economic centers of Bangladesh. This study analyzed changes in land use categories and their effects on ecosystem services during a thirty-year period, from 1990 to 2020, using LandSat data and published coefficient values. Additionally, a sensitivity analysis was undertaken to evaluate the ramifications of altering these coefficients on the resultant estimated values. The study revealed that in both Dhaka and Gazipur districts, the expansion of settlement areas and the reduction in tree vegetation cover have led to a significant decline in the overall value of ecosystem services. Over a 30-year timeframe, Gazipur experienced a more substantial loss in tree vegetation cover compared to Dhaka, whereas Dhaka witnessed a greater increase in settlement areas than Gazipur. Remarkably, during the most recent decade (2010–2020), the Gazipur district encountered heightened urban expansion and a more significant reduction in tree vegetation compared to Dhaka. The loss of the entire ecosystem service value was significant, amounting to USD 206.24 million for Dhaka and USD 381.27 million for Gazipur. This loss was primarily attributed to the decline in agricultural land, water bodies, rivers, and a reduction in tree vegetation. The study recommends that a more responsible land-use plan be created to protect tree vegetation, sustainable agriculture, and water bodies, which have the highest ecosystem service value in the study area. Overall, this study highlights the need for sustainable land-use techniques and offers insightful information about how urbanization affects ecosystem services in the investigated areas.

Analysis of Spatial and Temporal Variability of Ecosystem Service Values and Their Spatial Correlation in Xinjiang, China

Xinjiang is located in arid northwest China, which is a key area for promoting the high-quality development of the regional ecological environment. In recent years, against a background of increasing human activities and rapid natural changes, Xinjiang has faced enormous ecological challenges. This paper utilizes land-use data from 2000 to 2020 to verify the region’s current state of the ecosystem. Additionally, it uses the value equivalent factor per unit area, ecosystem service value (ESV) loss and gain matrix, and double-factor spatial autocorrelation analysis to study the spatial and temporal variabilities of ESV in Xinjiang and its attribution to spatial correlation. The results show that (1) the ESV in Xinjiang exhibits an overall increasing trend during 2000–2020, with a total increase of about CNY 18.202 billion. Regulation-service ESV takes the main position in the single-service function, accounting for about 67.18% of the total ESV. In northern Xinjiang, the ESV demonstrates a decreasing trend, dropping by about CNY 16.885 billion, while in southern Xinjiang, the ESV shows an increasing trend, rising by CNY 35.086 billion. (2) For the study period, the main loss of ESV in Xinjiang is the conversion of ecological land with a high ESV into cropland or barren land with a low ESV. The conversion of bare land to grassland led to the largest increase in ESV (about CNY 209.308 billion), whereas the conversion of grassland to barren land led to the largest loss (about CNY 183.046 billion). (3) There are positive correlations among ESV, net primary productivity (NPP), and human activity intensity (HAI). However, all of the relationships weaken year by year. The spatial agglomeration of ESV ∩ NPP is significantly greater than that of ESV ∩ HAI, so NPP is the dominant factor in the spatial correlation of ESV in Xinjiang. The findings of this study provide a scientific basis for promoting high-quality regional ecological development in China’s arid northwest.

Sustainable land use scenarios generated by optimizing ecosystem distribution based on temporal and spatial patterns of ecosystem services in the southern China hilly region

Urban expansion and inappropriate land uses in the southern China hilly region have caused a decline in the regional ecosystem services capacity. The exploration of regional ecosystem services under the principle of protecting and improving ecological functions is essential for optimizing land use. Therefore, we determined the ecosystem service value (ESV) in the southern China hilly region from 2000 to 2020 and attempted to analyse the drivers that caused these changes. The ESV decreased from 2000 to 2005 and then increased from 2005 to 2020, with the changes being correlated with changes in regional precipitation, temperature, GDP, and population density. We optimized the land use in 2035 based on these results and conducted simulation experiments to optimize the spatial pattern in three future scenarios: business as usual scenario (BUS), coordinated development scenario (CDS), and ecological priority scenario (EPS). The highest ESV was achieved in the EPS, followed by the CDS, and the lowest ESV was in the BUS. An optimized CDS was regarded as the most feasible approach for the future because it could effectively balance the synergistic relationships between social and ecological factors. The results are a practical scientific resource for future planning and the study provides a feasible method for the implementation of a national ecological protection strategy in the southern China hilly region.

Impact of Urbanization on Ecosystem Service Value from the Perspective of Spatio-Temporal Heterogeneity: A Case Study from the Yellow River Basin

Ecosystem services are the beneficial goods and services that ecosystems provide to humans. Urbanization is an important feature of human social development. While promoting economic and social development, it also brings about land degradation, resource depletion, environmental pollution and other problems, intensifying the transformation of natural ecosystems into semi-natural and artificial ecosystems, ultimately leading to the loss of ecosystem service functions and declining value. The study of the impact of urbanization on the value of ecosystem services is of critical importance for the conservation of ecosystems and sustainable development. This study examined the spatio-temporal patterns of urbanization’s impacts on ecosystem service value in the Yellow River Basin from the perspective of spatio-temporal heterogeneity. Findings: (1) Both the ecosystem service value (ESV) and urbanization level (UL) in the Yellow River Basin were on the rise on the whole, but they were significantly spatially negatively correlated and mainly characterized by the high–low spatial clustering of “low ESV–high UL” and “high ESV–low UL”. This negative correlation was gradually weakened with the transformation of the urbanization development mode and ecological restoration projects in the Yellow River Basin. (2) The impacts of the five urbanization subsystems on the value of ecosystem services were diverse. Landscape urbanization had a negative impact on the value of ecosystem services in all regions; economic urbanization and innovation urbanization changed from having a negative to a positive impact; and demographic urbanization and social urbanization had both a positive and a negative impact. (3) To promote the coordinated development of ecological environmental protection and urbanization in the YRB, this paper proposes to change the urbanization development model, implement ecological restoration by zoning, and formulate classified development plans. This study compensates for the shortcomings of current studies that ignore the different impacts of urbanization subsystems on ecosystem service value and lack sufficient consideration of the spatio-temporal heterogeneity characteristics of urbanization and ESVs, enriches the theoretical understanding of the interrelationships between natural and human systems in basin areas, and provides a scientific basis for the rational formulation of urban planning and ecological protection policies in the region, which is of great theoretical and practical significance.

How to promote sustainable land use in Hangzhou Bay, China? A decision framework based on fuzzy multiobjective optimization and spatial simulation

Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision framework based on fuzzy multiobjective optimization and spatial simulation to achieve sustainable land use development. Specifically, we first investigate the evolution of LUCC in Hangzhou Bay, China, and assess its ecosystem service value (ESV) using the equivalence coefficient table method based on land use data in 2000, 2010 and 2020. Then, we construct a multiobjective fuzzy linear programming model to optimize the land use decision that can balance the ESV and economic benefits of the land. Finally, a future land use simulation model is established to perform spatial simulation to find the most likely land use scenario for Hangzhou Bay in 2030 using the optimization results as input. Our results show that the LUCC in Hangzhou Bay became more frequent between 2000 and 2020, especially the area of built-up land, which increased by 179.74%. The ESV in Hangzhou Bay shows an accelerated decreasing trend, with a total decrease of 1.22 × 108 yuan. We observe spatial heterogeneity in both LUCC and ESV in Hangzhou Bay, with LUCC occurring more frequently in the coastal area, while high ESV areas are concentrated in the eastern coastal area and southern forest. The land use decisions obtained through land use structure optimization and spatial simulation can significantly slow down the decreasing trend of ESV (from −14.5% to −0.17%), effectively reduce the fragmentation of the landscape, prevent the disorder of LUCC, and help the government formulate sustainable land use policies.

Multi-Scenario Simulation and Assessment of Ecosystem Service Value at the City Level from the Perspective of “Production–Living–Ecological” Spaces: A Case Study of Haikou, China

Structural changes in land use caused by urban development are one of the most important threats to ecosystem services. An in-depth study of the impacts that different land use patterns have on ecosystem service value (ESV) can provide guidance for sustainable urban planning and ecological conservation. In this research, we sought to explore the response mechanisms of ecosystem services under different urban development scenarios from the perspective of “production–living–ecological” space (PLES). This study combined the Patch-generating Land Use Simulation (PLUS) model and ESV equivalent factor method to simulate the PLES and ESV of Haikou in 2035 under three scenarios of business as usual (BAU), ecological conservation (EC) and economic development (ED), and used the spatial superposition method, transfer matrix, and optimized cross-sensitivity analysis to explore the influence of the PLES on ecosystem services. The ESV of Haikou showed a declining trend from 2010 to 2020 under the influence of PLES changes and was at risk of further decline in the future. The reduction in the value of the water supply service constituted a major part of the loss of ESV. The simulation results demonstrated that the EC scenario had the most rational and ecologically efficient allocation of PLES, with the highest ESV and the lowest sensitivity to PLES changes. The results of this research can serve as an important reference for optimizing the urban land use structure and maintaining the stability of ecosystem services.

Dynamic Assessment and Change Analysis of Ecosystem Service Value Based on Physical Assessment Method in Cili County, China

The effective implementation of ecological protection policies requires the adequate assessment of temporal and spatial changes in the environment. To understand how ecosystem services can be used to track environmental changes, we carried out a study which focused on assessing the changes in the ecosystem services over time and space in Cili County, which is an important forestry region. The method we used was to evaluate the value of the regional ecological services based on the method for evaluating the value equivalent factor per unit area; then, by introducing multi-source data, the InVEST model was optimized to accurately assess the function of the regional ecosystem services, such as carbon storage, soil conservation, and water production. In addition, the values of the ecosystem services and the function assessment results were compared. Finally, based on the results of the optimized InVEST model, the value of the ecosystem services in the study area was regulated and re-evaluated. After re-evaluation, the total value of the ecosystem services in Cili county between 2000 and 2020 still showed an upward trend, increasing from CNY 26.136 billion to CNY 35.444 billion, with a total increase of CNY 9.308 billion. Compared to before the re-evaluation, the total value of the ecosystem services only increased from CNY 32.243 billion to CNY 32.473 billion, with a total increase of CNY 0.23 billion; the change in the value of the ecosystem services was more obvious, with a stronger spatial heterogeneity. The areas with high ecosystem service value in Cili County are mainly concentrated in the eastern parts, as well as the northwestern and southern parts, while the areas with low value are mainly concentrated in the central part of Cili County. The value of the central, southern, and northwestern parts of Cili County increased significantly. Such changes are closely related to China’s implementation of ecological protection policies in this region since 2000, such as returning farmland to forest and natural forest protection. The evaluation results of the ecosystem services and the method for evaluating the value equivalent factor in this study are more consistent with the changes in the ecosystem services in the study area. The dynamic assessment method of ecosystem service value proposed in this study is helpful in achieving accurate assessments of the regional ecosystem services and thus provides a useful reference for the formulation of more reasonable regional ecological protection policies.

Optimization of spatial layout based on ESV-FLUS model from the perspective of “Production-Living-Ecological”: A case study of Wuhan City

As the ecological problems deteriorated through the progress of modernization, exploring the optimization strategy from the ecological perspective is of great significance. Ecosystem Services (ESs) bridge the ecological and social systems, and planning geographical spatial patterns with consideration of reliable Ecosystem Service Value (ESV) assessment can improve land use efficiency and harmonize the human-environment relationship. This study aims to explore the spatial layout optimization strategy under the "Production-Living-Ecological" (PLE) space perspective. Taking Wuhan as the study area, we constructed ecological scenarios according to the synergies and trade-offs mechanism among different ecosystem services, and further combined the scenario restraints with economy, population, traffic, and environment factors to simulate the future geographical spatial layout of Wuhan. The methods of Ecosystem Service Value (ESV) assessment, Future Land-Use Simulation (FLUS) model, GIS technologies and scenario analysis were applied in this study. In this study, we evaluated the ESV of Wuhan and then established a natural growth scenario and two ecological scenarios to simulate the spatial layout of Wuhan in 2035. Meanwhile, we evaluated the carbon emissions to further examine the contributions of our ecological scenarios. The results showed that: (1) From 2010 to 2018, the spatial layout transformation of Wuhan was primarily from ecological to production space, and the high ESV area was mainly in the East Lake District. (2) Without effective consideration for ecological constraints, the living and production space in Wuhan will expand excessively in 2035. (3) The regulation-provision scenario had the highest ecosystem service value and the smallest carbon emissions. In conclusion, introducing ecosystem services into the FLUS model impact factor system is conducive to improving the ecological benefits of China's spatial pattern under scenario simulations.

Simulation of land utilization change and ecosystem service value evolution in Tibetan area of Sichuan Province

Dynamic monitoring and prediction of ecosystem service value (ESV) under land utilization change is of great significance to maintaining regional ecological security. In order to enrich the study of ESV changes in plateau region by using the improved equivalent factor method of unit area value, the western Sichuan Plateau was taken as the research object. In this paper, given the land use data of the western Sichuan Plateau in 2000, 2010 and 2020, efforts have been made to construct the suitability image collection of the study area and to amend the CA-Markov model as to predict the land use pattern in 2030. In addition, the improved ESV evaluation model was constructed to study the spatial and temporal dynamic variation features of ESV. The results showed that: Woodland and grassland are the main types of land utilization in the study area. There are frequent interchanges between various land utilization types. The overall reduction of ESV, decrease of 3.4917 × 109 yuan/a, mainly due to the conversion of woodland to other land types. The high-value areas of ESV in the study area are closely tied to rivers. Two areas with high ESV value were formed in the study area. The findings of the study enriched the research system of land use and ecosystem service value in the plateau region, provided basic data for the construction of regional ecological security pattern, and enhanced regional sustainable development.

Spatiotemporal Distribution and Driving Force Analysis of the Ecosystem Service Value in the Fujiang River Basin, China

Identification of spatiotemporal changes in ecosystem service value and their drivers is the basis for ecosystem services management and decision making. This research selects Fujiang River Basin (FJRB) as the area of study, using the equivalent factor method to estimate the ecosystem service value (ESV) variation and characteristics of its spatial distribution. The contributions of the drivers of ecosystem service value and their interactions were also explored using the optimal parameters-based geographical detectors (OPGD) model. The results showed the following: (1) the total ESV increased from 104,891.22 × 106 yuan to 105,032.08 × 106 yuan from 2000 to 2020, and displayed an upward trend from the southeast to northwest; (2) The distribution of ESV showed a strong positive spatial autocorrelation. High ESVs were concentrated upstream of the study region with a higher elevation and vegetation coverage, whereas low values were mainly found in the midstream and downstream regions, where frequent human activity occurs; (3) The elevation of natural factors, HAI and LA of human-social factors, and PEL of landscape pattern factors were the main forces leading to ESV differentiation, and the spatial heterogeneity of ESV in the study area resulted from the synergistic effect of natural factors, human socioeconomic activities, and landscape pattern factors. This research reveals the spatial and temporal patterns and drivers of ecosystem service values in the FJRB, and provides a scientific reference for the establishment of land-use planning and ecological environmental protection mechanisms in this region.

Spatial-Temporal Evolution and Influencing Factors Analysis of Ecosystem Services Value: A Case Study in Sunan Canal Basin of Jiangsu Province, Eastern China

The continuing degradation of ecosystem functioning, particularly in areas of fast-growing economies, is a common challenge facing humanity today and a focus of global research on sustainable development. A typical fast-developing economic region in Southeastern China, namely Sunan Canal Basin of Jiangsu Province (SCBJ), was selected for this study. Based on remote sensing monitoring data of land use for five periods of 2000, 2005, 2010, 2015, and 2019, the ecosystem service value (ESV) of SCBJ was measured using the equivalent factor method, and the spatial and temporal evolution of the ESV was analyzed using contribution and spatial statistical methods. Panel quantile regression was employed to explore in depth the segmental effects of the ecosystem service influencing factors and to increase the understanding of ecosystem service influencing mechanisms. Our results showed the following: (1) From 2000 to 2019, the land use structure was stable, and the comprehensive land use dynamic degree was continuously reduced. There were significant differences in the single land use dynamic degree of each land type, especially for built-up land. (2) During the study period, the total ESV increased first and then decreased, with the decreasing regions mainly distributed in the southeast of SCBJ and the urban rapid expansion areas on both sides of the canal. (3) In areas with different levels of ESV, the influencing factors had different impact effects. The mean proximity index (MPI), i.e., land use integrity, had a significant enhancement effect at the low ESV region and a significant dampening effect at the high ESV region. As the quantile points increase, the positive effects of the annual mean temperature (ATE), annual mean precipitation (APR), and net primary productivity (NPP) on ecosystem services gradually increase, which increased the gap between high and low ESV areas, creating a “natural Matthew effect”, while the negative effects of economic density (GDP) and population density (POP) on ecosystem services gradually decreased.

Evaluation of ecosystem services from 2000 to 2020 and their trade-offs/synergies in a coalfield: a case study in the Pingshuo mining area of the Loess Plateau, China.

Determining the spatiotemporal dynamics in land use and ecosystem service value (ESV) and understanding the trade-offs/synergy relationships between ecosystem services (ESs) are crucial for ecosystem management and achieving sustainable development in mining areas. However, existing research on ESV and ESs has not paid sufficient attention to the special coalfield in arid/semiarid areas. In this study, we investigated the Pingshuo mining area and used the standard equivalent factor to evaluate ESV variations resulting from the spatiotemporal changes of land use based on remote sensing and land use data (2000, 2010, and 2020). Simultaneously, the trade-offs/synergies between ESs were further explored using the ESs trade-offs/synergies degree (ESTD) model. We found that (1) the land use changed considerably in this area, which was mainly reflected in farmland decrease and built-up land increase by 3580.60 hm2 and by 5103.44 hm2, respectively, from 2000 to 2020. (2) ESV in our study area declined by 7116.53 × 104 RMB yuan over the investigated period. High ESV mainly appeared in the north/south of the study area, while the low ESV was concentrated in the middle and northeast/southeast of the mining area. (3) The interactions between paired ESs were mainly the synergies that generally appeared among eight ESs except soil conservation, while trade-offs mainly existed between soil conservation and other paired ESs in the study region. To achieve socio-economic and ecological benefits, the local government should take effective measures to improve the environment of the coalfield and reverse the falling tendency of ESV.

Response of ecosystem services in Beijing-Tianjin Sandstorm Source Control Project to differing engineering measures scenarios

Changed land use patterns are the most direct manifestation of ecological engineering implemented by humans, being among the driving factors for changes in ecosystem services (ESs). However, different ecological engineering governance measures can lead to different changes in land use, resulting in corresponding changes to ESs and ecosystem service value (ESV), yet these changes is the content that needs to be clarified. In this study, four kinds of ESs, namely water yield, soil conservation, carbon storage and water purification, were quantified in part region of the Beijing-Tianjin Sandstorm Source Control Project (BTSSCP). In addition, eight scenarios were simulated according to the land use change caused by engineering management measures, and the ESs and ESV ensuing under these differing scenarios quantified accordingly. The results show that the main land use types in the study area from 2000 to 2020 were cropland and forestland, while during this period land use change mainly consisted of the expansion of grassland (+466.79 km2) and loss of cropland (−2095.27 km2). For different engineering management measures, protective governance will play a greater role in improving ESs than restoration governance. Protecting the existing governance outcomes from degrading can maintain a water yield of 36.85 × 108 m3, soil conservation of 73.72 × 106 t, carbon storage of 89.01 × 106 t, the purified water nitrogen content of 1.21 × 106 t, with the total ESV maintained at 54.237 billion yuan. Moreover, the high-investment counties clearly engage in ecological restoration that provides high ESV. Yet, there are still some counties with high project investment where the gains in ESV are low, such as Luanping county and Pingquan county. Therefore, it should be reasonably distributed based on the existing governance results in the next round of project investment allocation. In the past 20 years, engineering governance measures have significantly improved the ESs in the region. Nevertheless, looking ahead, it remains necessary to strengthen the emphasis on protecting governance outcomes.

Comparison of the Application of Different Process-Based Models in the Study of Spatio-Temporal Patterns of Ecosystem Service Value

Quantitative assessments of ecosystem service value (ESV) are of great significance for rational allocation of environmental resources and making regional ecological protection decisions. The method of equivalence factor per unit area is widely used for this purpose because of its simple algorithm. However, ESV is also affected by biotic and environmental factors (e.g., net ecosystem productivity (NEP) or precipitation), which are difficult to obtain at the regional scale, leading to uncertainty in ESV estimations. In this study, according to the equivalent factor modified by precipitation and NEP from four state-of-the-art process-based productivity models, i.e., CLM4.0, LPJDGVM, LPJGUESS and ORCHIDEE, we explored the temporal and spatial patterns of ESV of 15 administrative regions in northern China. The results show that the simulation accuracy of different models varied among four representative ecosystem types, i.e., typical steppe in northern China, alpine steppe in northwest China, farmland ecosystem in central China, and forest in northeast China, implying that model-based ESV estimates are ecosystem-specific. The ESV tends to decline from northeast to southwest in northern China. Regions with dense vegetation usually had high ESV due to better hydrological and thermal conditions. Low vegetation coverage areas, such as Qinghai and Xinjiang, had higher ESV because of their large geographical areas. The central and eastern developed regions without abundant natural resources had lower ESV due to their lower NEP. For different categories of ecosystem services, the regulation services (mainly water flow regulation services and climate regulation services) contributed the most to ESV. For the temporal dynamics, the total ESV of the 15 provinces, autonomous regions and municipalities showed an insignificant downward trend over the years. The regions with increasing trends of ESV were distributed in northwestern China, while pixels with decreasing trends of ESV were concentrated in northeastern China. Land use cover change may be the most important factor controlling the temporal dynamics of ESV. Our results can provide support for the enaction of reasonable strategies for ecological protection and economic development in northern China.

Understanding the linkage between ecosystem service values and ecological risk in the Yongding River basin, China

Evaluations of ecosystem services values (ESV) and ecological risk (ER) are crucially important for sustainable ecosystem management and ecological security. While numerous studies have been conducted for ecosystem service values and ecological risk assessment, respectively, few studies have investigated their linkage and correlation, especially from a social-ecological perspective. Additionally, the correlation is inconsistent, varying among studies conducted at different spatial scales, which makes it difficult to apply to a building regional ecological security pattern. Here, taking the Yongding River basin, China as an example, we first quantified the spatiotemporal variation of ecosystem service values and ecological risk from 2000 to 2020 using the evaluation models of ecosystem service and ecological risk. We then explored the spatiotemporal correlation between ecosystem service values and ecological risk by using bivariate spatial autocorrelation model to identify areas where prioritized ecosystem management is required in the process of urbanization and ecological restoration. We found: (1) the total ecosystem service value in the basin decreased first, but then continued to increase. The ecosystem service value in 2020 was 679.27 million yuan lower than that in 2000. The ecosystem service values had large spatial variations, with higher ecosystem service values in mountainous areas along the distribution of the river systems. (2) Ecological risk also varied in space, with most areas having low and medium risk levels in 2020, resulting from an overall continued decrease of the ecological risk, and a shift from medium, high, and extremely high ecological risk to low and extremely low in general. (3) There was a negative spatial correlation between ecosystem service value and ecological risk, showing widely distributed “Low ecological risk vs High ecosystem service value” in non-urbanized areas, and “High ecological risk vs Low ecosystem service value” located in newly constructed land in the southeast corner of the watershed dominated. This is a result of combined effects of urban expansion and ecological restoration. Our findings can provide insights on regulation of ecological risk in the Yongding River basin, help build a regional ecological security pattern, and achieve sustainable development.