Investigating the compounding effects of environmental factors on ecosystem services relationships for Ecological Conservation Red Line areas

Abstract

Quantitative attribution of the relationships between ecosystem services (ES) is crucial for ecosystem management and the sustainable development of the ecological environment. However, analyses of determinants and their interactions of ES tradeoffs/synergies are generally inadequate, especially in Ecological Conservation Red Line (ECRL) areas that maintain national and regional ecological security. Soil conservation (SC), water yield (WY), and carbon sequestration (CS) were simulated in the Beijing ECRL areas. The geographical weighted regression considering local parameters was used to explore the trade-offs/synergies, and the geographical detector utilizing spatial heterogeneity was applied to quantitatively identify their driving factors.Results show that:(1) trade-offs and synergies were present between these three ES in space, and the SC and CS show marked synergies which characterized more than 80% of each ECRL area; (2) in the ECRL areas of Beijing, the synergies of the three pairs of ES was most sensitive to terrain factors. The determinants of the spatial trade-offs between SC and WY, SC and CS, and WY and CS are potential evapotranspiration, precipitation, and temperature, respectively; (3) compounding effects of nonlinear enhancement exists between the environmental factors. The interaction between precipitation and other factors had the greatest explanatory power on the trade-offs/synergies between SC and WY. Precipitation and relief amplitude are the main interactive factors respectively affecting the trade-offs and synergies between SC and CS. The trade-offs and synergies between WY and CS were most sensitive to the interaction between climate factors and terrain factors.

Multiple ecological effects and their drivers of ecological restoration programmes in the Qinghai‐Tibet Plateau, China

“…Carbon storage was represented by net primary productivity (NPP), which was calculated by the CASA model (Liu, Ren, et al, 2021; Zuo & Gao, 2021). The formula is as follows: Where : , , and represent the NPP, photosynthetic active radiation, and total solar radiation on pixel , respectively.…”

“…Carbon storage was represented by net primary productivity (NPP), which was calculated by the CASA model (Liu, Ren, et al, 2021;Zuo & Gao, 2021). The formula is as follows:…”

Co-benefits of the National Key Ecological Function Areas in China for carbon sequestration and environmental quality

“…NKEFAs undertake important ecological functions, such as water and soil conservation, windbreak sand fixation, and biodiversity maintenance (Pan et al, 2021). The difference in the leading ecological function determines the direction of development and protection of each NKEFA (Zuo and Gao, 2021). The water conservation type can realize precipitation retention, runoff regulation, soil desertification control and vegetation restoration.…”

Quantifying the Ecosystem Services of Soda Saline-Alkali Grasslands in Western Jilin Province, NE China

“…Researchers have applied these methods to investigate grassland water conservation, windbreak and sand-fixing, and culture based on landscape patterns [24,29]. Developments in ecosystem services research have resulted in numerous researchers using the InVEST model to study how land use changes impact ecosystem services [26,28,30]. Grassland ecosystem services are closely related to human well-being [31].…”