4.7 Article

Ecosystem service supply-demand and socioecological drivers at different spatial scales in Zhejiang Province, China

Journal

ECOLOGICAL INDICATORS
Volume 140, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2022.109058

Keywords

Supply -demand; Forest ecosystem; Spatial mismatch; Influencing factors; Multiscale; Zhejiang Province

Funding

  1. Pioneer and Leading Goose R&D Program of Zhejiang [2022C02038]
  2. National Natural Science Foundation of China [41601209]

Ask authors/readers for more resources

This study examines the scale effects of ecosystem service supply-demand balances and drivers in Zhejiang Province, China. The findings highlight the differences in ES supply-demand relationships and the impact of drivers at different scales. The study emphasizes the importance of considering scale effects in sustainable ecosystem management.
Understanding the scale effects of ecosystem service (ES) supply-demand balances and drivers is critical to hierarchical ecosystem management. However, it remains unclear how the relationships of ES supply-demand and driving factors change with the scale. In this study, we first quantified food production (FP), water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ) at pixel and county scales in 2000 and 2020 in Zhejiang Province. Then, we analyzed the ES supply-demand balances and trade-offs/synergies at different scales. Finally, we performed correlation analysis and applied a random forest model to explore the socioecological drivers of these ESs. Our work showed that the supplies of FP, WY, and SC increased, while those of CS and HQ decreased from 2000 to 2020. ESs at the pixel scale were more spatially heterogeneous than those at the county scale. FP and CS were in short supply, and the gaps between their supply and demand grew over time. Some ES supply-demand mismatches at the pixel scale disappeared at the county scale. From the pixel scale to the county scale, the correlation directions of the ES trade-offs/synergies changed slightly, but their intensities changed significantly. The temperature, altitude, percentage of forestland and normalized difference vegetation index (NDVI) had positive effects on HQ, CS and SC, while the population density (POP), gross domestic product and percentage of artificial land (PA) had negative effects. The degree of influence of most socioecological drivers on the ESs increased with increasing scale. NDVI was the most important factor for CS, while precipitation was the most important for WY. The importance of POP and PA increased with both time and scale. Ultimately, overall ES supply-demand balances should be considered at the county scale, while more accurate management measures should be implemented at the pixel scale to promote effective hierarchical ES management. This study emphasizes the necessity of considering the scale effects for ES supply-demand balances in sustainable ecosystem management.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available