APA (7th ed.) Citation

Q, L., L, Z., J, P., L, Z., & Y, W. (2026). Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China. Environmental science and pollution research international, 33(8), 3508. https://doi.org/10.1007/s11356-026-37485-6

Chicago Style (17th ed.) Citation

Q, Li, Zhang L, Peng J, Zhao L, and Wang Y. "Integrating Bayesian Network and PLUS-InVEST Models for Spatial Optimization of Carbon Storage Under Future Land Use Scenarios in the Wujiang River Basin, China." Environmental Science and Pollution Research International 33, no. 8 (2026): 3508. https://doi.org/10.1007/s11356-026-37485-6.

MLA (9th ed.) Citation

Q, Li, et al. "Integrating Bayesian Network and PLUS-InVEST Models for Spatial Optimization of Carbon Storage Under Future Land Use Scenarios in the Wujiang River Basin, China." Environmental Science and Pollution Research International, vol. 33, no. 8, 2026, p. 3508, https://doi.org/10.1007/s11356-026-37485-6.