Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Ecosystem services (ESs), the benefits nature provides to people, are an important basis for fulfilling sustainable development goals (SDGs). Therefore, an ES-based approach will help deepen our understanding of the relationships between natural systems and human well-being and provide co-benefit pathways for sustainable development. However, monitoring progress towards achieving the SDGs based on the contributions of ESs to SDGs is lacking. Using the linkages between ESs and SDGs, this study quantified progress towards the SDGs in China from 2000 to 2020 and determined future development priorities at both the national and provincial levels. Our results indicated that (1) during the period 2000–2020, China showed decreasing trends in the 11 SDGs and SDG index scores; (2) there were significant differences in the scores for SDGs and the SDG index across 31 provinces; (3) SDG 3, SDG6, SDG11, SDG13, and SDG15 were recognized as the highest national priorities, concerning health and environment; and (4) 31 provinces faced diverse economic, social, and environmental development challenges. The ES-based approach may assist policy-makers in monitoring and comparing progress towards the SDGs in an integrated and composite way, prioritizing local action, and providing a scientific basis for formulating policies to achieve SDG implementation.
Ecosystem services (ESs), the benefits nature provides to people, are an important basis for fulfilling sustainable development goals (SDGs). Therefore, an ES-based approach will help deepen our understanding of the relationships between natural systems and human well-being and provide co-benefit pathways for sustainable development. However, monitoring progress towards achieving the SDGs based on the contributions of ESs to SDGs is lacking. Using the linkages between ESs and SDGs, this study quantified progress towards the SDGs in China from 2000 to 2020 and determined future development priorities at both the national and provincial levels. Our results indicated that (1) during the period 2000–2020, China showed decreasing trends in the 11 SDGs and SDG index scores; (2) there were significant differences in the scores for SDGs and the SDG index across 31 provinces; (3) SDG 3, SDG6, SDG11, SDG13, and SDG15 were recognized as the highest national priorities, concerning health and environment; and (4) 31 provinces faced diverse economic, social, and environmental development challenges. The ES-based approach may assist policy-makers in monitoring and comparing progress towards the SDGs in an integrated and composite way, prioritizing local action, and providing a scientific basis for formulating policies to achieve SDG implementation.
The ecological conservation of nature reserves has garnered considerable attention and is subject to stringent management in China. However, the majority of these areas have a history of underdeveloped economies and require urgent improvements in the well-being of local communities. Effectively coupling and harmonizing the dynamic relationship between ecosystem services and socio-economic development has emerged as a crucial concern for nature reserves. Therefore, further exploration is needed to achieve a spatio-temporal balance and alignment between the supply and demand of ESs in nature reserves in China. Utilizing multiple datasets, RULSE, and bivariate autocorrelation methods, this study investigated the spatio-temporal evolution of the ecosystem services supply–demand ratio (ESDR) and supply–demand spatial matches for soil conservation services (SCSs) in the Qinling Mountains (QMs) from 2000 to 2020. The results indicated the following: (1) Over the years, the supply of SCSs exhibited a consistently high level, with an upward trend observed in 63.10% of the QMs, while the demand for SCSs is generally low, with a decreasing trend observed in 82.68% of the QMs. (2) The supply and demand of SCSs remained favorable, with a positive ESDR reaching 82.19% of the QMs. From 2000 to 2010, there was a significant decline in ESDR; however, a substantial rebound was observed in the ESDR across the region from 2010 to 2020. (3) Over years, the majority of counties and districts exhibited positive values in ESDR. When examining cities, Weinan, Xi’an, and Ankang demonstrated relatively consistent patterns with higher ESDR values over time. In 2000, the ESDR on the northern slope exhibited lower values than that on the southern slope; however, this situation subsequently underwent a reversal. (4) The spatial distribution of SCS supply and demand was predominantly characterized by matching regions exhibiting either High Supply–High Demand or Low Supply–Low Demand for years. This study suggests that the supply and demand dynamics of SCSs in the Qinling Mountains have been favorable in recent years, with consistent spatial supply–demand matches. These findings can provide valuable insights for similar nature reserves aiming to implement ecological environmental protection and achieve sustainable development. The future research endeavors, however, should strive to expand upon these findings by exploring the supply and demand patterns associated with other ESs across diverse nature reserves, while considering their unique geographical characteristics, in order to promote more rational ecological management strategies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.