Integrating Ecological Assessments to Target Priority Restoration Areas: A Case Study in the Pearl River Delta Urban Agglomeration, China

Spatial heterogeneity and management challenges of ecosystem service trade-offs: a case study in Guangdong Province, China

Ecosystem services (ESs) play a crucial connecting role between human well-being and natural ecosystems. Investigating ESs and their interrelationships can aid in the rational distribution of resources and benefits and inform planning decisions that align with the principles of ecological civilization. Nonetheless, our current understanding of these relationships remains limited; thus, further theoretical exploration is required. This study employs the InVEST model to assess the key ESs in Guangdong Province for 2000 and 2018 and applies the multi-scale geographically weighted regression (MGWR) method to identify the primary drivers of ES changes and capture trends in spatial variations. The results showed that (1) from 2000 to 2018, the total carbon storage (CS) and habitat quality (HQ) decreased while the water yield (WY) and net primary productivity (NPP) increased. These ESs also showed spatial differences, with higher values observed in the hilly and mountainous areas of the north compared with the coastal and plain areas of the south. (2) Although the spatial distribution of ES trade-off strength varied, the overall pattern remained consistent from 2000 to 2018. The pairwise trade-off strength of CS-WY and WY-HQ decreased significantly in the northern region of Guangdong due to low rainfall, while that of CS-HQ decreased significantly in the Pearl River delta as a result of urbanization. Cultivated and forested land displayed higher and lower levels of NPP and WY, respectively, with forested land exhibiting greater trade-off strength than the other land use types. (3) Evident spatial heterogeneity was observed in the properties and intensity of the correlations between driving factors and changes in ES trade-offs. Natural factors were the primary determinants of trade-offs among ESs. However, at a regional scale, the landscape index and socioeconomic factors tended to represent stronger drivers. Based on these findings, we suggest that ecological management should be adjusted based on the geographic scale. This study offers a valuable approach to understanding the relationship between ES trade-offs and their drivers in geographic space and serves as a reference for the sustainable provisioning of ESs both locally and globally.

Construction of Ecological Security Pattern and Identification of Ecological Restoration Zones in the City of Changchun, China

Identification of crucial regions in need of ecological conservation and restoration based on ecological security patterns is of utmost importance for ecological restoration across national land space with regard to China's promotion of ecological civilization. Using Changchun, the capital of northeast China, as an illustration, the study chooses ecological sources based on the importance of ecosystem services, builds an ecological security pattern using circuit theory, and organizes critical regions for ecological conservation and restoration. The findings reveal that the 20 ecological sources chosen based on ecosystem services are more concentrated on the eastern side of the city, whereas the western side of the city has a smaller overall area; 41 ecological corridors show a network distribution, among which the southeast is relatively densely distributed; 31 ecological pinch points and 15 ecological barrier points are also identified. Prioritized restoration zones, prioritized protection zones, key conservation zones, and general conservation zones were the four different types of ecological restoration regions identified by the study. Each district's prioritized restoration zones in the main metropolitan area are larger than the others; Gongzhuling's priority protection zones are the largest, and Yushu's natural substrate is the best. According to the grading, targeted solutions are suggested, offering helpful advice for the improvement of ecological patterns and ecological restoration of the aforementioned national areas.

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Urban agglomerations have become the new spatial unit of global economic competition. The intense socioeconomic activities attributed to the development of urban agglomerations are bound to cause damage to the ecosystem services of these urban agglomerations. This study adopts the Beijing-Tianjin-Hebei urban agglomeration in China as the research object, analyzes the spatiotemporal evolution of its critical ecosystem service capacity to address regional ++-development risks from 2000–2018, and employs the Moran’s I and geographically weighted regression model to explore the spatial correlation and spatial heterogeneity in the responses of urbanization and ecosystem services. The study indicates that (1) from 2000–2018, the ecosystem services of the Beijing-Tianjin-Hebei urban agglomeration exhibit an increase and then a decline, reaching the highest index in 2015; (2) the ecosystem services reveal obvious spatial heterogeneity with the Yan and Taihang Mountains region as the boundary; (3) built-up area ratio, GDP density, and population density exhibit highly obvious negative correlation driving characteristics on ecosystem services; and (4) the construction land ratio exerts a notable impact on areas with a high ecosystem services, while the spatial response of the effect magnitude of the population and GDP densities is largely influenced by intensive, high-pollution and energy-consuming industries. This article also proposes strategies for the optimization of ecological resources and spatial control, which are dedicated to mitigating the negative impacts of rapid urbanization processes on ecosystem services.

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Land use/land cover (LULC) and climate change are major driving forces that impact ecosystem services and affect human well-being directly and indirectly. Under the future interaction between LULC and climate change, the impact of different land management and climate change scenarios on water-related services is uncertain. Based on this, the CLUMondo model, which focuses on land use intensity, was used to simulate the land system under different land management scenarios in the future. By coupling the downscaled climate scenario data, this study used the InVEST and RUSLE models to estimate the annual water yield and soil erosion in 2050 in the Hengduan Mountain region and analyzed the variation differences in different sub-watersheds. The results indicated that, under the influence of LULC and climate change, when compared with the amount for 2020, the soil erosion in the Hengduan Mountain region in 2050 was reduced by 1.83, 3.40, and 2.91% under the TREND scenario, FOREST scenario, and CONSERVATION scenario, respectively, while the water yield decreased by 5.05, 5.37, and 5.21%, respectively. Moreover, the change in soil erosion in the study area was affected by precipitation and closely related to the precipitation intensity, and the impact of climate change on the water yield was significantly greater than that of LULC change. The spatial heterogeneity of soil erosion and water yield was obvious at the sub-watershed scale. In the future, soil erosion control should be strengthened in the northern regions, while water resource monitoring and early warning should be emphasized in the central-eastern regions. Our results provide scientific guidance for policy makers to formulate better LULC policies to achieve regional water and soil balance and sustainable management.