Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China.
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| Title: | Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China. |
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| Authors: | Li Q; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China., Zhang L; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China., Peng J; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China. pengjiaoting@163.com., Zhao L; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China., Wang Y; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China. |
| Source: | Environmental science and pollution research international [Environ Sci Pollut Res Int] 2026 Feb; Vol. 33 (8), pp. 3508-3531. Date of Electronic Publication: 2026 Feb 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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