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

Resource information

Date of publication: 
January 2019
Resource Language: 
ISBN / Resource ID: 
NARCIS:vu:oai:research.vu.nl:publications/595b97e5-a0f9-41a6-b822-4656730e6c8c
Pages: 
10
Copyright details: 
Open Access, this refers to access without restrictions, and without financial incentives. Access to the resource is gained directly, without any obstacles. From info:eu-repo/semantics/openAccess

Forests provide numerous ecosystem services, such as timber yields, biodiversity protection and climate change mitigation. The type of management has an effect on the provision of these services. Often the demands for these services can lead to conflict – wood harvest can negatively impact biodiversity and climate change mitigation capacity. Although forest management differences are important, spatially explicit data is lacking, in particular on a global scale. We present here a first systematic approach which integrates existing data to map forest management globally through downscaling national and subnational forest data. In our forest management classification, 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 different 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 effect of 21 socio-economic and bio-physical predictor variables on the occurrence of a forest category. Model results on significance and effect direction of predictor variables were in line with findings 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.

Authors and Publishers

Author(s), editor(s), contributor(s): 

Schulze, Katharina
Malek, Žiga
Verburg, Peter H.
Environmental Geography

Data provider

National Academic Research and Collaborations Information System (NARCIS) is the main Dutch national portal for those looking for information about researchers and their work. NARCIS aggregates data from around 30 institutional repositories. Besides researchers, NARCIS is also used by students, journalists and people working in educational and government institutions as well as the business sector.

 

Share this page