Importance of succession in estimating biomass loss: Combining remote sensing and individual-based forest models

DC ElementWertSprache
dc.contributor.authorHiltner, Ulrike
dc.contributor.authorHuth, Andreas
dc.contributor.authorFischer, Rico
dc.date.accessioned2022-04-19T14:06:55Z-
dc.date.available2022-04-19T14:06:55Z-
dc.date.issued2020
dc.identifier.issn1810-6277
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/54515-
dc.publisherCopernicus GmbH
dc.relation.ispartofBiogeosciences Discussions
dc.rightscc-by
dc.subjectVegetation (pathology)
dc.subjectChronosequence
dc.subjectEnvironmental science
dc.subjectEcosystem
dc.subjectEcological succession
dc.subjectBiomass (ecology)
dc.subjectRandom forest
dc.subjectRemote sensing
dc.subjectPrimary production
dc.titleImportance of succession in estimating biomass loss: Combining remote sensing and individual-based forest models
dc.typejournal article
dc.identifier.doihttps://doi.org/10.5194/bg-2020-264
dc.description.startpage1
dc.description.endpage23
dc.identifier.externalhttps://openalex.org/W3092105322
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptInstitut für Umweltsystemforschung-
crisitem.author.deptidresearchcenter5-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidHuAn907-
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