Analyzing spatio-temporal changes and trade-offs/synergies of gross ecosystem product based on water-energy-food nexus

• Published in: Environmental science and pollution research international 2024-05, Vol.31 (21), p.30592-30619
• Main Authors: He, Jia, Wang, Lingjing, Wen, Chuanhao
• Format: Article
• Language: English
• Subjects: Agricultural resources; Agrivoltaics; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Bivariate analysis; Canyons; Correlation coefficient; Correlation coefficients; Cultivated lands; Earth and Environmental Science; Ecological function; Ecosystem; Ecosystem services; Ecosystems; Ecotoxicology; Energy; Energy resources; Energy sources; Environment; Environmental Chemistry; Environmental Health; Erosion control; Exhaust gases; Food; Food resources; Heterogeneity; Research Article; Research hot spots; Soil erosion; Spatio-Temporal Analysis; Subsystems; Tradeoffs; Waste Water Technology; Wastewater treatment; Water; Water conservation; Water Management; Water Pollution Control; Water resources; Water treatment plants
• ISSN: 1614-7499; 0944-1344; 1614-7499
• DOI: 10.1007/s11356-024-32842-9

The value of the ecosystem’s ultimate goods and services for human welfare and long-term economic and social development is known as the gross ecosystem product (GEP). For the study of GEP accounting, the suggested water-energy-food (WEF) nexus offers a fresh viewpoint. This work aims to build a GEP accounting index system based on WEF, investigate its spatio-temporal evolution characteristics, and assess trade-offs and synergies between and within the water, energy, and food subsystems. Using the Three Gorges Reservoir area (TGRA) as an illustration, the findings revealed that, firstly, the comprehensive benefit of GEP based on WEF showed an upward trend in TGRA. Still, it was worth noting that the total production of the food ecosystem decreased. Secondly, the GEP based on WEF in five periods showed a spatial pattern of “high east and west, low middle.” Thirdly, the Pearson correlation coefficient indicated that the GEP trade-off relationships based on WEF were dominant in TGRA, with the strongest trade-offs between AQV, SCV, APV, and LEV. In addition, in bivariate local spatial autocorrelation, the value of the six ecosystem service function relationships was dominated by the trade-off relationship, and the distribution of trade-offs and synergies showed significant heterogeneity at the county scale in the TGRA. Finally, hot spot analysis showed that the hot spots of the gross water and energy ecosystem products were scattered in the tail area of the study area. In contrast, the hot spots of the gross food ecosystem product were concentrated in the belly region. The findings of this study provided a basis for the scientific formulation of territorial spatial pattern optimization for water, energy, and agricultural resources in the TGRA and can more accurately reflect the status of the ecological environment and changes of WEF over time. Moreover, this paper also gives full play to the growth advantages of shipping and aquatic products, implements effective soil erosion prevention and control measures, and establishes water-saving mechanisms and other measures in terms of water resources. Subregional plans for industrial structure and strengthening of waste gas and wastewater treatment facilities regarding energy resources are developed. Implement the cultivated land protection system and promote the superiority of crop varieties and other measures in terms of food resources.