Log in

Evaluating and optimizing the ecosystem health of China’s Yellow River Basin based on emergy analysis and multi-objective decision method

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

The Yellow River is an important ecological shelter zone and one of China’s economic belts. Under the national strategy of ecological protection and high-quality development of the Yellow River Basin (YRB) and the goal of carbon peak and carbon neutralization, there is an imperative to achieve healthy development of the YRB’s ecosystem. This study uses emergy analysis, multi-objective decision method, synergy degree model, and obstacle degree model to evaluate and optimize the ecosystem health of nine cities along the YRB in Shandong Province. Results show that the ecosystem health levels of the nine cities continuously improved from 2010 to 2019, spatially presenting the characteristics that the upstream and midstream cities were lower than the downstream, and the midstream cities rose rapidly. The synergy degree of health in this region fluctuated in the range of [− 0.009, 0.080]. The key obstacle factors of the nine cities changed a lot from 2010 to 2019. It transformed from indicators focused on the driving force layer in 2010 to the state layer and response layer in 2019, which means optimization measures should be concentrated in energy resource structure and ecological environment quality. Three ecosystem health optimization paths are proposed related to regional synergy, energy resources, and ecological environment. The methodology and results of this study provide references for ecosystem health research at the regional level.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

Download references

Funding

This research is supported by National Key R&D Plan of China (2020YFC1910000), Natural Science Foundation of China (71974116), Key R&D Program of Shandong Province, China (2023SFGC0101), Shandong Social Science Planning Research Project (21BKRJ02) and Taishan Scholar Project (tsqn202103010).

Author information

Authors and Affiliations

Authors

Contributions

L.C.: Investigation, Conceptualization, Methodology, Data curation, Writing-original draft, Writing-review & editing. Y.L., S.T. and M.L.: Visualization, Writing-review & editing. X.Y.: Conceptualization, Methodology, Data curation, Writing-review & editing. Y.J. and Y.Y.: Investigation. Q.W.: Data curation, Visualization. Q.M.: Conceptualization, Methodology. Y.L. and J.Z.: Visualization.

Corresponding author

Correspondence to Xueliang Yuan.

Ethics declarations

Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical approval and consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (DOCX 57 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, L., Li, Y., Tian, S. et al. Evaluating and optimizing the ecosystem health of China’s Yellow River Basin based on emergy analysis and multi-objective decision method. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-04175-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10668-023-04175-z

Keywords

Navigation