Towards better mapping of forest management patterns: A global allocation approach

dc.contributor.authorSchulze, K.
dc.contributor.authorMalek, Ž.
dc.contributor.authorVerburg, P.H.
dc.titleTowards better mapping of forest management patterns: A global allocation approachen
dcterms.abstractForests provide numerous ecosystem services, such as timber yields, biodiversity protection and climate change mitigation. The type of management has an e?ect on the provision of these services. Often the demands for these services can lead to con?ict – wood harvest can negatively impact biodiversity and climate change mitigation capacity. Although forest management di?erences are important, spatially explicit data is lacking, in particular on a global scale. We present here a ?rst systematic approach which integrates existing data to map forest management globally through downscaling national and subnational forest data. In our forest management classi?cation, we distinguished between two levels of forest management, with three categories each. Level 1 comprised primary, naturally regrown and planted forests. Level 2 distinguished between di?erent forest uses. We gathered documented locations, where these forest categories were observed, from the literature and a database on ecological diversity. We then performed multinomial logit regression and estimated the e?ect of 21 socio-economic and bio-physical predictor variables on the occurrence of a forest category. Model results on signi?cance and e?ect direction of predictor variables were in line with ?ndings of previous studies. Soil and environmental properties, forest conditions and accessibility are important determinants of the occurrence of forest management types. Based on the model results, likelihood maps were calculated and used to spatially allocate national extents of level 1 and level 2 forest categories. When compared to previous studies, our maps showed higher agreement than random samples. Deviations between observed and predicted plantation locations were mostly below 10 km. Our map provides an estimation of global forest management patterns, enhancing previous methodologies and making the best use of data available. Next to having multiple applications, for example within global conservation planning or climate change mitigation analyses, it visualizes the currently available data on forest management on a global level.en
dcterms.accessRightsOpen access
dcterms.bibliographicCitationSchulze, K., Malek, Ž., and Verburg, P.H., 2019. Towards better mapping of forest management patterns: A global allocation approach. Forest Ecology and Management, 432, 776-785.en
dcterms.licenseCopyrighted; all rights reserveden
dcterms.typeJournal Article
is.availability.fullTextFull text available
is.contributor.funderTypePublic funds (government, EU funding, public research grants)
is.evaluation.collectionMapping e.g. remote sensing
is.evaluation.dataSourceGeospatial data layers
is.evidenceSubTypeModeling study - patterns at a large scale using context variables
is.evidenceTypeModeling study
is.focus.productsEco-system services
is.focus.sdgSDG 15 - Life on Land
is.focus.sdgSDG 12 - Responsible Production and Consumption
is.focus.sustainIssueClimate change
is.focus.sustainIssueForests and other ecosystems
is.focus.sustainLensInnovation / innovative solutions
is.focus.sustainLensLandscape approaches
is.focus.sustainOutcomeClimate change adaptation/resilience
is.focus.sustainOutcomeEcosystem quality
is.focus.sustainOutcomeDeforestation and forest protection
is.focus.systemElementMandE outcomes and impacts
is.focus.systemElementMandE performance monitoring
is.item.reviewStatusPeer reviewed
is.journalNameForest Ecology and Management