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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/427SNPL
Repositorysid.inpe.br/mtc-m21c/2020/03.26.11.09   (restricted access)
Last Update2020:03.26.11.09.38 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/03.26.11.09.38
Metadata Last Update2022:01.04.01.35.02 (UTC) administrator
DOI10.3390/land9020052
ISSN2073-445X
Citation KeyStepanovCâmaVers:2020:QuEfLa
TitleQuantifying the effect of land use change model coupling
Year2020
MonthFeb.
Access Date2024, Apr. 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size9716 KiB
2. Context
Author1 Stepanov, Oleg
2 Câmara, Gilberto
3 Verstegen, Judith A.
Resume Identifier1
2 8JMKD3MGP5W/3C9JHB8
ORCID1 0000-0001-9315-1649
2 0000-0002-3681-487X
3 0000-0002-9082-4323
Group1
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 University of Münster
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Münster
Author e-Mail Address1 oleg.v.stepanov@gmail.com
2 gilberto.camara@inpe.br
3 j.a.verstegen@uni-muenster.de
JournalLand
Volume9
Number2
Pagese52
History (UTC)2020-03-26 11:10:01 :: simone -> administrator :: 2020
2020-03-26 13:36:00 :: administrator -> simone :: 2020
2020-06-23 22:44:27 :: simone -> administrator :: 2020
2022-01-04 01:35:02 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsland-use change
model coupling
partial equilibrium model
demand-driven model
Brazil
validation
AbstractLand-use change (LUC) is a complex process that is difficult to project. Model collaboration, an aggregate term for model harmonization, comparison and/or coupling, intends to combine the strengths of different models to improve LUC projections. Several model collaborations have been performed, but to the authors' knowledge, the effect of coupling has not been evaluated quantitatively. Therefore, for a case study of Brazil, we harmonized and coupled the partial equilibrium model GLOBIOM-Brazil and the demand-driven spatially explicit model PLUC, and then compared the coupled-model projections with those by GLOBIOM-Brazil individually. The largest differences between projections occurred in Mato Grosso and Para, frontiers of agricultural expansion. In addition, we validated both projections for Mato Grosso using land-use maps from remote sensing images. The coupled model clearly outperformed GLOBIOM-Brazil. Reductions in the root mean squared error (RMSE) for LUC dynamics ranged from 31% to 80% and for total land use, from 10% to 57%. Only for pasture, the coupled model performed worse in total land use (RMSE 9% higher). Reasons for a better performance of the coupled model were considered to be, inter alia, the initial map, more spatially explicit information about drivers, and the path-dependence effect in the allocation through the cellular-automata approach of PLUC.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Quantifying the effect...
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4. Conditions of access and use
Languageen
Target Fileland-09-00052-v2.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 3
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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