Matches in SemOpenAlex for { <https://semopenalex.org/work/W2071159813> ?p ?o ?g. }
- W2071159813 endingPage "553" @default.
- W2071159813 startingPage "539" @default.
- W2071159813 abstract "Land use, land use change and forestry (LULUCF) can play a positive role in mitigating global warming by sequestering carbon from the atmosphere into vegetation and soils. Local entities (e.g. local government, community, stockholders) have been making great efforts in enhancing carbon sequestration (CS) of local forests for mitigating global climate change and participating in international carbon-trade promoted by the Kyoto Protocol. Approaches and tools are needed to assess the enhancement of CS through land use changes and proper policy decisions. This paper presents an integrated assessment framework and a spatial decision support system (IA-SDSS) as a tool to support land-use planning and local forestry development with consideration of CS. The IA-SDSS integrates two process-based carbon models, a spatial decision (EMDS) module, a spatial cost-benefit analysis (CBA) module, and the analytic hierarchy process (AHP) module. It can provide spatially explicit CS information as well as CS-induced economic benefits under various scenarios of the carbon credit market. A case study conducted in Liping County, Guizhou Province, China demonstrated that the IA-SDSS developed in this study is applicable in supporting decision-making on ‘where’ and ‘how’ to adopt forestry land use options in favor of CS." @default.
- W2071159813 created "2016-06-24" @default.
- W2071159813 creator A5010493327 @default.
- W2071159813 creator A5010577970 @default.
- W2071159813 creator A5042241049 @default.
- W2071159813 creator A5073738580 @default.
- W2071159813 date "2010-04-01" @default.
- W2071159813 modified "2023-10-03" @default.
- W2071159813 title "IA-SDSS: A GIS-based land use decision support system with consideration of carbon sequestration" @default.
- W2071159813 cites W1490476406 @default.
- W2071159813 cites W1520428197 @default.
- W2071159813 cites W1598118275 @default.
- W2071159813 cites W1599878228 @default.
- W2071159813 cites W180211088 @default.
- W2071159813 cites W1964020029 @default.
- W2071159813 cites W1966717358 @default.
- W2071159813 cites W1967663443 @default.
- W2071159813 cites W1968962043 @default.
- W2071159813 cites W1978665925 @default.
- W2071159813 cites W1981703273 @default.
- W2071159813 cites W1985391856 @default.
- W2071159813 cites W1986201657 @default.
- W2071159813 cites W1989229840 @default.
- W2071159813 cites W1990731120 @default.
- W2071159813 cites W1991463109 @default.
- W2071159813 cites W1992709528 @default.
- W2071159813 cites W1996562254 @default.
- W2071159813 cites W2006184023 @default.
- W2071159813 cites W2007954874 @default.
- W2071159813 cites W2010784770 @default.
- W2071159813 cites W2017550274 @default.
- W2071159813 cites W2020434667 @default.
- W2071159813 cites W2021343987 @default.
- W2071159813 cites W2021874608 @default.
- W2071159813 cites W2026277896 @default.
- W2071159813 cites W2028891572 @default.
- W2071159813 cites W2030647864 @default.
- W2071159813 cites W2034401345 @default.
- W2071159813 cites W2037317818 @default.
- W2071159813 cites W2038960719 @default.
- W2071159813 cites W2040425954 @default.
- W2071159813 cites W2046857879 @default.
- W2071159813 cites W2047522724 @default.
- W2071159813 cites W2047937954 @default.
- W2071159813 cites W2048756844 @default.
- W2071159813 cites W2052878663 @default.
- W2071159813 cites W2064095519 @default.
- W2071159813 cites W2064136391 @default.
- W2071159813 cites W2066359438 @default.
- W2071159813 cites W2067116006 @default.
- W2071159813 cites W2070388047 @default.
- W2071159813 cites W2072452205 @default.
- W2071159813 cites W2073488963 @default.
- W2071159813 cites W2077799957 @default.
- W2071159813 cites W2080537593 @default.
- W2071159813 cites W2081215008 @default.
- W2071159813 cites W2085917989 @default.
- W2071159813 cites W2093337454 @default.
- W2071159813 cites W2093973748 @default.
- W2071159813 cites W2096329109 @default.
- W2071159813 cites W2102494754 @default.
- W2071159813 cites W2102752058 @default.
- W2071159813 cites W2110287480 @default.
- W2071159813 cites W2110492507 @default.
- W2071159813 cites W2111109366 @default.
- W2071159813 cites W2113447408 @default.
- W2071159813 cites W2115941647 @default.
- W2071159813 cites W2129692438 @default.
- W2071159813 cites W2130795176 @default.
- W2071159813 cites W2133488074 @default.
- W2071159813 cites W2136904626 @default.
- W2071159813 cites W2140415013 @default.
- W2071159813 cites W2146568763 @default.
- W2071159813 cites W2149682752 @default.
- W2071159813 cites W2151304280 @default.
- W2071159813 cites W2151405382 @default.
- W2071159813 cites W2155064735 @default.
- W2071159813 cites W2159758382 @default.
- W2071159813 cites W2162066644 @default.
- W2071159813 cites W2167957097 @default.
- W2071159813 cites W2272908325 @default.
- W2071159813 cites W2405929682 @default.
- W2071159813 cites W3148016898 @default.
- W2071159813 doi "https://doi.org/10.1016/j.envsoft.2009.09.010" @default.
- W2071159813 hasPublicationYear "2010" @default.
- W2071159813 type Work @default.
- W2071159813 sameAs 2071159813 @default.
- W2071159813 citedByCount "52" @default.
- W2071159813 countsByYear W20711598132012 @default.
- W2071159813 countsByYear W20711598132013 @default.
- W2071159813 countsByYear W20711598132014 @default.
- W2071159813 countsByYear W20711598132015 @default.
- W2071159813 countsByYear W20711598132016 @default.
- W2071159813 countsByYear W20711598132017 @default.
- W2071159813 countsByYear W20711598132018 @default.
- W2071159813 countsByYear W20711598132019 @default.
- W2071159813 countsByYear W20711598132020 @default.
- W2071159813 countsByYear W20711598132022 @default.