A spatially explicit method to examine the impact of urbanisation on natural ecosystem service values

Coal plays a crucial role in global economic development and remains the most common and widely distributed fossil fuel worldwide. As the world's largest developing country, China's mining and utilization of coal resources have contributed significantly to the country’s rapid economic growth. Inner Mongolia is an ecologically fragile arid and semi-arid area of China. The exploitation of opencast mining has seriously hindered the sustainable use of regional land and the residents' well-being. Using ENVI-based remote sensing images from 2000, 2005, 2010, 2015, and 2020, this study employed a random forest algorithm to divide land utilization types into construction land, vegetation, cultivated land, bare land, and water areas and analyzed the characteristics of land use and ecosystem service value changes over the past 20 years. The results were as follows: (1) Construction land in the mining area changed minimally from 2000 to 2020; vegetation and water bodies showed a decreasing trend, whereas bare and cultivated lands showed an increasing trend. Bare land exhibited the largest change in area proportion and water bodies the smallest. (2) The total ecosystem service value of the mining area declined from 10.939 to 9.527 billion Yuan. Vegetation ecosystem service value was the highest, followed by cultivated land and water, with the bare land ecosystem service value the lowest. (3) On a spatial scale, the total ecosystem service value of the Shengli mining area decreased year by year, indicating that land use changes in the mining area do have an impact on ecosystem service value.

The aim of this study was to provide a new method for dynamic and continuous assessment of ecosystem service value (ESV) and reveal the impact of land use change on ESV in Dasi River Basin within Jinan's startup area from replacing old growth drivers with new ones. Based on four remote sensing images from 2002 to 2020, four ecological indicators were extracted, and the ecological environmental quality index (EEQI) was obtained through the approach of principal component analysis (PCA). Then, the traditional ESV evaluation method was modified by using the EEQI, grain yield, the biomass factor of cropland ecosystem, and the consumer price index (CPI). Finally, the impact of land use change on ESV was further analyzed based on the improved evaluation model. The result showed that (1) during 2002-2020, the area of forestland, grassland, and built-up land showed an increasing trend. The area of cropland and bare land showed a decreasing trend, and the water body area showed a slightly decreasing trend. (2) The total ESVS overall increased by 2.1759 × 107 yuan; the increased ESVS from air quality regulation, maintain biodiversity, and climate regulation were the main reasons for the increased of total ESVS, with contribution rates of 53.18%, 12.46%, and 11.29% respectively. (3) The sensitivity of ecosystem services to land use change showed a decreasing trend, and the order of elasticity index of different land use types was cropland > water body > forestland > grassland > bare land. The conversion of cropland and bare land to forestland was the main type of ESVs increase, with contribution rates of 18.35% and 10.13%, respectively. The cropland reclamation and built-up land expansion were the most significant land use changes that lead to the decline of ESVS, with contribution rates of 20.14% and 19.03% respectively. (4) The ESV showed a significant positive auto-correlation in terms of spatial distribution. The area of high-high region was mainly distributed in water body, forestland, and its surrounding areas. The area of low-low region was mainly distributed in built-up land and wasteland areas where human disturbance is relatively serious. The high-low and low-high regions were affected by landscape transition process and randomly distributed around the low-low and high-high regions, respectively. This study cannot only put forward a new method for the dynamic continuous evaluation of ESV, but also provide a reference for the rational allocation of land resources in the startup area to realize the balanced development of regional environment and economy.

Assessment of ecosystem services value in response to prevailing and future land use/cover changes in Lahore, Pakistan

Integrating landscape ecological risk into ecosystem service value assessment: A case study of Nanjing City, China

ABSTRACTThe Guangxi Southwest Karst‐Beibu Gulf (GSK‐BG) is a complex mountain‐river‐sea transitional space made up of a special combination of karst mountains, river basins and coastal zones, presenting a slope zone tilted from northwest to southeast. At present, there is still a gap in identifying the characteristics of the topographic gradient response of past‐present‐future ecosystem service value (ESV) changes to land use and land cover (LULC) changes in the transitional space of mountains, rivers and seas. To that end, this study employed the Markov‐PLUS model, land use transfer matrix and land use mapping to portray the characteristics of the changes in LULC and ESV from 2000 to 2030, as well as to analyze the analyze the LULC change towards the ESV response. Then the role of LULC transformation on ESV under different terrain gradient topographic factors was further explored to fill the current research gap. The results show: (1) The highest ESV was 479,332 million yuan in 2010 and the lowest was 473,424 million yuan in the urban development scenario (UDS). The distribution of ESV in space is shown as “high in the northwest and low in the central and southeastern part of the country”, which shows a trend of increasing and then decreasing in time. (2) Forest land (FL) is the main contributor to total ESV. The improvement in ESV in the study area was mainly due to the transfer of other land uses to FL and water body (WB), and the decrease in ESV was mainly due to the conversion of FL and WB to other land uses. (3) The topographic gradient response of ESV changes to LULC changes is more pronounced for the 2030 natural development scenario (NDS), ecological protection scenario (EPS), and UDS. The types of land transfers that predominate mainly on steep slopes at lower elevations as well as in areas with steep slopes at higher elevations include grassland (GL) and FL to unutilized land, with terrain distribution index (TDI) of 5.27 and 4.02, and bare land (BL) and FL to GL, with TDI of 4.75 and 3.53. Therefore, the topographic gradient characteristics of the region should be taken into account in the development and utilization of land resources and improvement of ESV in the mountain‐river‐sea transitional complex geospatial space.

Impacts of Land Change on Ecosystem Services in the San Antonio River Basin, Texas, from 1984 to 2010

Global land cover changed significantly in the last several decades due to strong climate warming and intensive human activities, and those changes greatly affected ecosystem services all over the world. Using CCI-LC land cover data from 1992 to 2020, the spatiotemporal characteristics of land cover change in China were investigated, and the annual ecosystem service values (ESVs) were estimated with the equivalent factor method. The results showed that: (1) The overall accuracy and Kappa coefficient of CCI-LC products in China were 71.1% and 0.65, respectively. (2) From 1992 to 2020, the area of cropland in China increased generally first before 2004 then decreased after 2008; the area of forest land decreased before 2003 then increased after 2015; the area of grassland and bare land consistently decreased; and the area of built-up land continuously increased, with a total increase of 113,000 km2. The primary characteristics of land cover transitions in China were the mutual conversion of cropland, forestland, and grassland as well as the continuous increase of built-up land. (3) Forest land was the most significant contributor of ESV in China, making 62.9% of the total ESV by multi-year average, followed by grassland (18.5%) and water (10.3%); the ESV was roughly high in the southeast China and low in the northwest. (4) The total ESV in China decreased generally before 2015 and got stable in the last five years. The hot spots with rising ESV were mainly concentrated in the western, northern and southwestern parts of China, while the cold spots with declining ESV were mainly concentrated in the economically developed eastern and southern China. (5) Cropland, forest land, grassland, and water were the positive contributors to ESV change in China, while built-up land and bare land were the negative contributors. The findings provide a theoretical foundation for China’s harmonized socioeconomic and environmental development.

The Aral Sea started shrinking since the 1960s due to natural factors and human activities; however, the relationship between land cover change and ecosystem services (ES) in the Aral Sea basin has not been fully studied. To analyze and explore the spatiotemporal variation characteristics of ecosystem service values (ESVs) in this region, we used the European Space Agency CCI Global Land Cover product with a spatiotemporal resolution of 300 × 300 m and the annual scale. The land use data of 1993, 1998, 2003, 2008, 2013, and 2018 in the study area were extracted; the study area's ESV in the corresponding years was calculated; and the temporal and spatial evolution characteristics were analyzed. Additionally, the change rate and sensitivity were analyzed. The results revealed that the area of urban land, bare land, grassland, wetland, and cropland in the Aral Sea basin increased from 1993 to 2018; water body and forestland decreased. The integrated value of water bodies, cropland, and grassland ES accounted for more than 93.43% of the total ESV; the change rate of land use types differed. Urban land and water changed the fastest; cultivated land, woodland, grassland, and wetland changed the slowest. From 1993 to 2018, the total ESV of the Aral Sea basin decreased from 476.44 to 437.09 billion (overall decrease = -8.26%). The ESV study shows that the water area decreased sharply from 1993 to 2018, resulting in a loss of USD 46.84 billion. Biodiversity, food production, and water regulation were the main ES, accounting for 74.59% of the total ESV. The ESV of the Aral Sea basin declined from 1993 to 2018, and significant differences were observed among its regions. The sensitivity indexes of each period are far less than 1, indicating that the total estimated ecosystem values are inelastic with respect to the ecosystem value coefficients. Some regions should thus focus on this aspect. A close correlation was observed between the ESV and land use. Hence, effective land use policies can control the expansion of cropland; protect water bodies, ecological environments, grassland, and forestland; and promote a more sustainable ecosystem.

SDG 8’s goal is to promote sustained, inclusive, and sustainable economic growth; full and productive employment; and decent work for all. This chapter examines the experiences of East Asian developing countries in achieving rapid and inclusive economic growth by focusing on the role of international tradeand foreign direct investmentnexus created through global value chains (GVCs)by multinational corporations (MNCs). GVCs enabled participating companies and countries to improve productivity, contributing to economic growth. The factors attributable to the participation in GVCs include high competitiveness of local companies and open business environment created by the Asian government. Moreover, construction and maintaining well-functioning soft (e.g., education and legal systems) and hard (e.g., transportation and communication systems) infrastructure by the government and international donors contributed to the creation of business-friendly environment. Faced with growing protectionism and the threats of growing US-China rivalry, infectious diseases, climate change, etc., maintaining an open and transparent rules-based business environment is crucially important to further achieving sustained, inclusive, and sustainable economic growth. In the light of absence of effective global economic order, exemplified by ineffectiveness of the World Trade Organizationin trade liberalization as well as dispute settlement, regional economic frameworks such as the CPTPP and RCEP in the Asia and Pacific region would be proven to be effective to achieve the goal.

The rapid increase in economic development and urbanisation along the Eastern Economic Corridor (EEC) of Thailand has accelerated the change in its ecosystem service value (ESV), leading to the demand for related analysis to ensure sustainable growth in the area. The aim of this study is to: (1) evaluate the land use change in Chonburi Province; the most urbanised city in the EEC of Thailand between 2006 and 2016, and (2) assess the land use change impact on ESV. Secondary data from land use maps for 2006 and 2016 was used to evaluate land use change and its impact on ESV using the land use transition matrix, land use dynamic degree, and the benefit transfer method. Urban and built-up land use were found to dominate other use types. The top three highest annual rates of land use change were found in water bodies, rangeland, and urban and built-up land. The ESV in 2016 was found to be 1.31% higher than for 2006. The ecosystem service functions (ESFs) contributing to the increase in ESV were waste treatment, hydrological regulation, climate regulation and recreation and service culture. Future land use planning should focus on increasing wetlands and protecting agricultural land in the study area since these contribute to the highest ESV. In addition, it is essential to balance economic development with ecological enhancement.

More than 60% of the world’s ecosystem services have deteriorated over the past few decades. Studying the spatio-temporal fluctuations in ecosystem service value and its influencing factors is important for identifying regional ecosystem service value issues, upholding regional ecological harmony, and encouraging regionally healthy and coordinated sustainable development. Ecosystem service value has so far been studied primarily in relation to the effect of socioeconomic and physical–geographical variables. However, the trade-offs and synergies among ecosystem service values also drive the spatio-temporal variations in ecosystem service value. Few studies have been conducted to date to investigate the trade-offs and synergies between ecosystem service values and their impact on ecosystem service value. Therefore, this paper used sensitivity analysis, correlation analysis, trade-offs and synergies analysis, and a Geodetector to examine changes in ecosystem service value and their influencing factors within the Nanjing metropolitan region. The ecosystem service value decreased somewhat overall between 2000 and 2020, with a decline rate of 2.19 million CNY/year. In comparison to the north of the Nanjing metropolitan region, the ecosystem service value was relatively higher in the south. The water bodies had the highest total ecosystem service value, followed by forest land, cultivated land, and grassland, with construction land and unused land having the lowest ecosystem service values overall. The main socioeconomic factor influencing the spatial variations in ecosystem service value was population density, while the main physical–geographical factors were the digital elevation model, the normalized difference vegetation index, and precipitation. As a result, the Nanjing metropolitan area should tighten its grip on excessive population growth. In contrast to the expository strength of a single factor on the ecosystem service value, the influence of all individual elements on the ecosystem service value under interaction was significantly increased, and the interaction among the normalized difference vegetation index and gross economic product had the most obvious effect on the ecosystem service value. The spatial variation in the ecosystem service value was also influenced by trade-offs and synergies between the value of supply services, regulation services, support services, and cultural services. Therefore, trade-offs and synergies among ecosystem services also need to be considered in land-use decisions.

Monitoring spatio-temporal changes in land use and land cover (LULC) and the value of ecosystem services (ESV) contributes significantly to sustainable development and management. Over the last 30 years, LULC has changed enormously in the Mila region of eastern Algeria, covering approximately 69,052 hectares. The Mila municipality, located on a minor affluent of the Oued Rhumel and dominated by the Marchau mountain, is one of the most crucial functional ecological and environmental zones in the country. Utilizing remote sensing, four satellite images of the study area, dated between 1994 and 2024, were visually interpreted to obtain LULC data classification and global value coefficients, which were then used to evaluate local spatio-temporal changes in ESV and LUC over this period. Five LULC types were identified in the study area: Urban Area, Active Agriculture, Vegetation, Soil (bare land), and Water Body. These classifications were used in conjunction with ecosystem service value coefficients to analyze the changes. The results indicated that from 1994 to 2024, vegetation (shrubs and grasslands) decreased, while built-up land (urban areas), water bodies (due to the construction of the Beni Haroun dam), and cultivated land increased. This study underscores the vital role of the wilaya of Mila in the regional system of maintaining landscape change and provides a scientific reference and cartographic tool for the sustainable development of land resources and ecosystem services in semi-arid regions.

Land is the key substrate for carrying ecosystems， and assessing ecosystem service value through multi-scenario simulation of land use has provided an important reference for coordinating ecological protection and economic development. Taking Jiangyin City as the study area， we utilize the intensity map of land use change， PLUS model， and ecosystem service value measurement model to analyze the characteristics of land use change in the developed county in China， portray the future land use pattern， and further explore the changes in ecosystem service value under multi-scenario simulation. The study produced several important results： ① The land use structure of Jiangyin City has shifted from a single structure dominated by cropland to a dual structure dominated by cropland and built-up land. The changes in the tendency types of water body to cropland and built-up land to water body reflect the regional law of land use change in the developed county along the Yangtze River in eastern China. ② The ecosystem service values under the scenarios of natural development， cropland conservation， ecological conservation， and eco-economics are 1.463， 1.638， 1.477， and 1.488 billion yuan， respectively. The ecological steering of county land use acts on the value differences of various scenarios. ③ The spatial heterogeneity of different ecosystem service values is remarkable， with the value of soil conservation， windbreak， and sand fixation showing a distribution pattern of high in the north and low in the south and the value of carbon fixation and oxygen provision showing a spatial characteristic of high in the middle and low in the north and south. Therefore， it is necessary to adopt classified and zonal policies to promote the enhancement of ecosystem service values. The research is a beneficial supplement to the existing progress on the impact of land use change on ecosystem service value and provides an empirical basis for sustainable development decision-making in rapidly urbanizing regions.

基于土地利用的博斯腾湖流域生态系统服务价值时空变化

“Land Use and Land Cover Change (LULCC)” is increasingly being affected by ecosystem services value. LULCC patterns have been subjected to significant changes over time, primarily due to an ever-increasing population. It is rare to attempt to analyze the influence of such changes on a large variety of ecosystem benefits in Madagascar island. The economic value of ecosystem services in Madagascar island is evaluated throughout the period from 2000 to 2019. The expansion of the human population affects the changing value of ecosystem services directly. The PROBA-V SR time series 300 m spatial resolution cover of land datasets from the “Climate Change Initiative of the European Space Agency (ESA)” were used to measure the values of ecosystem activities and the changes in those values caused by land use. A value transfer method was used to evaluate the value of ecosystem services to land use changes on Madagascar island. The findings show that from 2000 to 2019, at the annual rate of 2.17 percent, Madagascar island’s ecosystem service value (ESV) grew to 6.99 billion US dollars. The components that greatly contributed to the total change of ESV were waste treatment, genetic resources, food production, and habitat/refugia. These components in 2000 contributed 21.27%, 20.20%, 17.38%, and 13.80% of the total ESV, and 22.55%, 19.76%, 17.29%, and 13.78% of the total ESV in 2019, respectively. Furthermore, it was found that there was a great change in LULCC. From 2000 to 2019, bare land, built-up land, cultivated land, savannah, and wetland increased while other LULCC types decreased. The sensitivity coefficient ranged from 0.649 to 1.000, <1, with forestland registering the highest values. Wetland is in the second position for the most important land cover category in Madagascar, considering the total value of the ecosystem. The value of ecosystem benefits per unit of the land area was higher on cultivated land, despite the relatively low fraction of cultivated land area across these eras. The sensitivity indices of seven land types from 2000 to 2019 were mapped to understand better the geographical distribution patterns of ESV’s “equivalent value coefficient” (VC) across various land uses. It is suggested that the ESV should be included in Madagascar’s government land-use plan to manage it effectively and efficiently with fewer negative effects on the ecosystem.