Spatio-temporal Evolution and Driving Factors of Ecosystem Services in the Luo River Basin

Authors

  • Jing Zhang
  • Yanjing Yang

DOI:

https://doi.org/10.62051/ijnres.v3n2.02

Keywords:

Ecosystem Service; Luo River Basin; Spatial-Temporal Evolution; Drivers; Optimal Parameter Geodetector.

Abstract

To assess the ecosystem service levels in the Luo River Basin and promote sustainable environmental development in the region, this study utilized land use and meteorological data from 2000 to 2020. The InVEST and optimal parameter Geodetector models were employed to analyze the spatiotemporal evolution and driving mechanisms of water yield, soil conservation, carbon storage, and habitat quality in the Luo River Basin. Spatially, water yield generally decreases from south to north, while soil conservation shows a more dispersed distribution of high values. Carbon storage and habitat quality exhibit a west-high and east-low distribution. Temporally, water yield, soil conservation, and carbon storage initially decreased before increasing, whereas habitat quality declined year by year. Annual precipitation and slope are the key factors influencing water yield and soil conservation, respectively, while land use types are the primary factors affecting carbon storage and habitat quality. The research findings provide valuable reference data for making ecological and environmental protection decisions in the Luo River Basin.

References

[1] Costanza, R., d' Arge, R., De Groot, R., et al. (1997). The value of the world's ecosystem services and natural capital. nature, 387(6630), 253-260.

[2] Jing, H. C., Liu, Y. H., He, P., et al. (2022). Spatial heterogeneity of ecosystem services and it’s influencing factors in typical areas of the Qinghai-Tibet Plateau: A case study of Nagqu City. Acta Ecol. Sin, 42(7), 265.

[3] Fu, M., Xiao, N., Zhao, Z., et al. (2016). Effects of urbanization on ecosystem services in Beijing. Research of Soil and Water Conservation, 23(5), 235-239.

[4] Zhuo, L. I., Peng, H. O. U., Weiguo, J, et al. (2023). The driving effect of land use changes on ecosystem services: a case study at the Qinling Natural Reserves. Journal of Bei**g Normal University (Natural Science), 59(2), 196-205.

[5] Wang, C., Zhao, M., Zhao, Y., & Xu, Y. (2023). A review of the impacts of climate change on agro-ecosystem services and adaptation measures. Chinese Journal of Ecology, 42(5), 1214.

[6] Li, G. E., Li, J., Zhao, C., Jiao, Y. Y., & Yan, Q. W. (2022). Spatiotemporal dynamics of ecosystem services and their nonlinear influencing factors-A case study in the Qiantang River Basin. China Environmental Science, 42(12), 5941-5952.

[7] Qu, L. L., Liu, Y. S., Zhou, Y., & Li, Y. R. (2019). Spatio-temporal evolution of ecologically-sustainable land use in the Luoxiao Mountains and responses of its ecosystem services: a case study of Jinggangshan City in Jiangxi Province. Acta Ecologica Sinica, 39(10), 3468-3481.

[8] Hou, W., Gao, J., Dai, E., Peng, T., Wu, S., & Wang, H. (2018). The runoff generation simulation and its spatial variation analysis in Sanchahe basin as the south source of Wujiang. Acta Geographica Sinica, 73(7), 1268-1282.

[9] Wang, L., & Wei, W. (2023). Characteristics and driving factors of ecosystem services changes in a typical county of the Loess Plateau. Ecology and Environmental Sciences, 32(6): 1140-1148.

[10] Zhang, X. D., Wu, D., Wang, Y., et al. (2024). Spatiotemporal evolution characteristics and influencing factors of habitat quality in Yinchuan City by coupling InVEST and Geodetector models. Arid Land Geography, 47(07):1242-1251.

[11] Wang, J. F., & Xu, Ch., D. (2017). Geodetector: Principle and prospective. Acta Geographica Sinica, 72(01): 116-134.

[12] Song, Y., Wang, J., Ge, Y., & Xu, C. (2020). An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data. GIScience & Remote Sensing, 57(5), 593-610.

[13] Peng, Ch. B, Qian Zh, Jiang, H., et al. (2023). Spatial-temporal variation and driving force analysis of water production service function in Yuanjiang River Basin. Yangtze River, 54(06): 95-102.

[14] Wang, X. M., Liu, X. C., Long, Y. X., Zhang, Y., Liang, W., Hong, M., & Yu, X. (2020). Spatial-temporal changes and influencing factors of ecosystem services in Shaoguan City based on improved InVEST. Research of Soil and Water Conservation, 27(5), 381-388.

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Published

30-08-2024

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Section

Articles

How to Cite

Zhang, J., & Yang, Y. (2024). Spatio-temporal Evolution and Driving Factors of Ecosystem Services in the Luo River Basin. International Journal of Natural Resources and Environmental Studies, 3(2), 5-12. https://doi.org/10.62051/ijnres.v3n2.02