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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41691114 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+Q%22">Li Q</searchLink>; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China.<br /><searchLink fieldCode="AU" term="%22Peng+J%22">Peng J</searchLink>; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China. pengjiaoting@163.com.<br /><searchLink fieldCode="AU" term="%22Zhao+L%22">Zhao L</searchLink>; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, 550025, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229441769%22">Environmental science and pollution research international</searchLink> [Environ Sci Pollut Res Int] 2026 Feb; Vol. 33 (8), pp. 3508-3531. <i>Date of Electronic Publication: </i>2026 Feb 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9441769 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1614-7499 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209441344%22">09441344 </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Pollut Res Int <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41691114 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11356-026-37485-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3508 Titles: – TitleFull: Integrating Bayesian network and PLUS-InVEST models for spatial optimization of carbon storage under future land use scenarios in the Wujiang River Basin, China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li Q – PersonEntity: Name: NameFull: Zhang L – PersonEntity: Name: NameFull: Peng J – PersonEntity: Name: NameFull: Zhao L – PersonEntity: Name: NameFull: Wang Y IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Feb Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1614-7499 Numbering: – Type: volume Value: 33 – Type: issue Value: 8 Titles: – TitleFull: Environmental science and pollution research international Type: main |
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