Open Access
Issue
E3S Web Conf.
Volume 711, 2026
2026 2nd International Conference on Environmental Monitoring and Ecological Restoration (EMER 2026)
Article Number 01024
Number of page(s) 6
Section Environmental Monitoring and Assessment
DOI https://doi.org/10.1051/e3sconf/202671101024
Published online 19 May 2026
  1. W. Kuang, G. Du, D. Lu, et al., Global observation of urban expansion and land-cover dynamics using satellite big data, Sci. Bull. 66, 297–300 (2021) [Google Scholar]
  2. J.Y. Liu, J. Ning, W.H. Kuang, et al., Spatio-temporal patterns and new characteristics of land use change in China during 2010-2015, Acta Geogr. Sin. 73, 789–802 (2018) [Google Scholar]
  3. D.J. Guan, W. Yang, L.L. Zhou, et al., Identification of urban sprawl characteristics and simulation of evolution trends in the Yangtze River Basin based on multi-dimensional indicators, Geogr. Res. 42, 2940–2964 (2023) [Google Scholar]
  4. Central Committee of the CPC, State Council of the PRC, Opinions on promoting high-quality development of the Central Region in the new era, Gazette of the State Council of the PRC 22, 8–14 (2021) [Google Scholar]
  5. Q. Ning, X. Ouyang, S. Liu, Spatio-temporal evolution and quality analysis of construction land in urban agglomerations in Central China, Front. Ecol. Evol. 10, 912127(2022) [Google Scholar]
  6. J. Wang, X. Zhu, H. Wang, et al., Spatial heterogeneity of urban expansion and its influencing factors based on multiscale geographically weighted regression: A case study of the Central Plains urban agglomeration, Geocarto Int. 41, 2605750 (2026) [Google Scholar]
  7. G.J. Zhang, Y.Z. Wang, Y. Chen, et al., Spatio-temporal characteristics and differentiation mechanisms of high-quality development in Chinese urban agglomerations, Geogr. Res. 41, 2109–2124 (2022) [Google Scholar]
  8. Y.Z. Wu, L.P. Shan, et al., Cultivated land protection policies in China facing 2030: Dynamic balance system versus basic farmland zoning, Habitat Int. 69, 126–138 (2017) [Google Scholar]
  9. J.T. Wang, S.T. Qu, et al., Quantifying urban sprawl and its driving forces in China, Discrete Dyn. Nat. Soc. 1, 1–14 (2019) [Google Scholar]
  10. Y. Feng, X.H. Wang, et al., Spatiotemporal characteristics and driving forces of urban sprawl in China during 2003-2017, J. Clean. Prod. 241, 118061 (2019) [Google Scholar]
  11. X. Zhang, F. Zhang, Evolution characteristics of landscape ecological patterns in mega-city regions under rapid urbanization, J. China Agric. Univ. 24, 157–166 (2019) [Google Scholar]
  12. H. Zhai, C.Q. Lv, et al., Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China (2000-2019), Remote Sens. 13, 3331 (2021) [Google Scholar]
  13. Y.D. Tian, X.C. Zhao, Simulation of built-up land expansion and carbon emission response in the Chang-Zhu-Tan urban agglomeration based on the Markov-PLUS model, Acta Ecol. Sin. 44, 129–142 (2024) [Google Scholar]
  14. J.J. Zhao, S. Zhou, Y.X. Ge, et al., Multi-scenario land use simulation and carbon storage assessment in the Taihu Lake urban agglomeration based on the PLUS-InVEST-Geodetector model, Environ. Sci. 47, 880–891 (2026) [Google Scholar]
  15. L.M. La, M.M. Gou, L. Li, et al., Spatio-temporal dynamics and scenario simulation of ecosystem service trade-offs in the Three Gorges Reservoir area: A case study of Zigui County, Ecol. Rural Environ. J. 37, 1368–1377 (2021) [Google Scholar]
  16. J. Yang, X. Huang, The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019, Earth Syst. Sci. Data 13, 3907–3925 (2021) [Google Scholar]
  17. Ministry of Land and Resources of the PRC, Current Land Use Classification (GB/T 21010—2017) (China Standards Press, Beijing, 2017) [Google Scholar]
  18. D. Sun, Y. Liang, Multi-scenario simulation of land use dynamics in the Loess Plateau using an improved Markov-CA model, J. Geo-Inf. Sci. 23, 825–836 (2021) [Google Scholar]
  19. L. Zhao, X. Liu, P. Liu, et al., Urban expansion simulation and early warning based on geospatial partition and FLUS model, J. Geo-Inf. Sci. 22, 517–530 (2020) [Google Scholar]
  20. X. Liang, Q. Guan, K.C. Clarke, et al., Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China, Comput. Environ. Urban Syst. 85, 101569 (2021) [Google Scholar]
  21. B.S. Wang, J.F. Liao, W. Zhu, et al., Neighborhood weight setting of the FLUS model based on historical scenarios: A case study of land use simulation in Southern Fujian, Acta Ecol. Sin. 39, 4284–4298 (2019) [Google Scholar]
  22. Z.L. Yu, M.S. Zhao, Y.F. Gao, et al., Spatio-temporal evolution and prediction of carbon storage in Huaibei City based on the InVEST-PLUS model, Environ. Sci. 45, 3270–3283 (2024) [Google Scholar]
  23. P. Li, J. Chen, Y. Li, et al., Using the InVEST-PLUS model to predict and analyze ecosystem carbon storage in Liaoning Province, Remote Sens. 15, 4050 (2023) [Google Scholar]
  24. X. Liu, X. Li, et al., A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data, Landscape Ecol. 25, 671–682 (2010) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.