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Knowledge production and learning for sustainable forest landscapes: the European continent's west and east as a laboratory

Angelstam, Per and Manton, Michael and Khaulyak, Olga and Naumov, Vladimir and Pedersen, Simen and Stryamets, Natalie and Törnblom, Johan and Valasiuk, Sviataslau and Yamelynets, Taras (2019). Knowledge production and learning for sustainable forest landscapes: the European continent's west and east as a laboratory. Lesnoy zhurnal , 9-31
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Abstract

To support human well-being, green (or ecological) infrastructure policy stresses the need to sustain functional networks of representative terrestrial and aquatic ecosystems for the sus- tainable provision of multiple ecosystem services. Implementing this means that the com- plexity of interactions between social and ecological systems at multiple spatial scales and levels of governance needs to be understood. Place-based knowledge production and learn- ing through integration of different research disciplines in collaboration with actors and stakeholders (i.e. transdisciplinary research) is a key feature to achieve this goal. Using a suite of local landscapes and regions on the European continent’s West and East as a labora- tory, we developed and applied a step-wise approach to produce knowledge and encourage learning towards functional green infrastructures. Our diagnoses of forest landscapes show that the functionality for wood production and biodiversity conservation was inversely relat- ed in the gradient from long to short forest management histories. In Europe’s West there is a need for increased quantity of, and more functional, protected areas; diversification of management methods; and landscape restoration. In NW Russia there are opportunities to intensify forest management, and to continue the land-sparing approach with zoning for different functions, thus reducing biodiversity loss. Examples of diagnoses of social systems included the evaluation of comprehensive planning in Sweden, outcomes for biodiversity conservation of forest certification in Lithuania, and learning from environmental managers. We conclude that the main challenge for securing functional green infrastructure is poor cross-sectoral integration. Treatment of social-ecological systems requires knowledge-based collaboration and learning. The diversity of landscape histories and governance legacies on the European continent’s West and East, including Russia, offers grand opportunities for both knowledge production about performance targets for green infrastructure functionality, as well as learning to adapt governance and management to regional contexts. Integrating project funding for both researchers and stakeholder collaboration is a necessary strategy to fill the transdisciplinary research agenda. However, formal and informal disciplinary and administrative barriers can limit team building despite self-reflection and experience.

Authors/Creators:Angelstam, Per and Manton, Michael and Khaulyak, Olga and Naumov, Vladimir and Pedersen, Simen and Stryamets, Natalie and Törnblom, Johan and Valasiuk, Sviataslau and Yamelynets, Taras
Title:Knowledge production and learning for sustainable forest landscapes: the European continent's west and east as a laboratory
Series Name/Journal:Lesnoy zhurnal
Year of publishing :2019
Page range:9-31
Number of Pages:23
ISSN:0536-1036
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:biodiversity, bio-economy, collaboration, ecosystem services, environmental history, gap analysis, governance, green infrastructure, habitat modelling, intensification, landscape approach, planning, stakeholder mapping, transdisciplinary, rural development
URN:NBN:urn:nbn:se:slu:epsilon-p-101094
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-101094
Additional ID:
Type of IDID
DOI10.17238/issn0536-1036.2019.1.9
Web of Science (WoS)000459110300001
ID Code:22644
Faculty:S - Faculty of Forest Sciences
Department:(S) > School for Forest Management
Deposited By: SLUpub Connector
Deposited On:23 Feb 2021 08:23
Metadata Last Modified:23 Feb 2021 08:31

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