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Forest decision support systems for the analysis of ecosystem services provisioning at the landscape scale under global climate and market change scenarios
Date Issued
2019-08-15
Date Available
2020-11-04T10:09:38Z
Abstract
Sustainable forest management is driving the development of forest decision support systems (DSSs) to include models and methods concerned with climate change, biodiversity and various ecosystem services (ESs). The future development of forest landscapes is very much dependent on how forest owners act and what goes on in the wider world; thus, models are needed that incorporate these aspects. The objective of this study is to assess how nine European state-of-the-art forest DSSs cope with these issues. The assessment focuses on the ability of these DSSs to generate landscape-level scenarios to explore the output of current and alternative forest management models (FMMs) in terms of a range of ESs and the robustness of these FMMs in the face of increased risks and uncertainty. Results show that all DSSs assessed in this study can be used to quantify the impacts of both stand- and landscape-level FMMs on the provision of a range of ESs over a typical planning horizon. DSSs can be used to assess how timber price trends may impact that provision over time. The inclusion of forest owner behavior as reflected by the adoption of specific FMMs seems to be also in the reach of all DSSs. Nevertheless, some DSSs need more data and development of models to estimate the impacts of climate change on biomass production and other ESs. Spatial analysis functionality needs to be further developed for a more accurate assessment of the landscape-level output of ESs from both current and alternative FMMs.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Portuguese Science Foundation
Type of Material
Journal Article
Publisher
Springer
Journal
European Journal of Forest Research
Volume
138
Issue
4
Start Page
561
End Page
581
Copyright (Published Version)
2019 Springer
Language
English
Status of Item
Peer reviewed
ISSN
1612-4669
This item is made available under a Creative Commons License
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ALTERFOR D3.1 Paper Nordstrom, Nieuwenhuis et al.pdf
Size
465.91 KB
Format
Adobe PDF
Checksum (MD5)
f1e05cd26291b55952ca39e99edda85c
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