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Optimizing spatial habitat suitability and timber revenue in long-term forest planning

Öhman, Karin and Edenius, Lars and Mikusinski, Grzegorz (2011). Optimizing spatial habitat suitability and timber revenue in long-term forest planning. Canadian journal of forest research. 41:3, 543-551
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Official URL: http://dx.doi.org/10.1139/X10-232

Abstract

Effective tools must be developed that include consideration of biodiversity in the traditional forest planning process. The objective of this study is to present a spatial habitat suitability model that could be included in the optimization of long-term forest planning where the problem can be solved with an exact solution method. This could be an advantage, since, e.g., many forest planning systems available today are designed for problems that could be solved with an exact solution method. The habitat model consists of two parts: suitability assessment of stand-wise conditions and spatial conditions. To investigate whether the model works in a realistic setting, we used a case study and applied the model to the habitat demands for Hazel Grouse (Bonasa bonasia L.). The results from the case study indicate that the model is effective for including spatial habitat consideration and that the model could be used for creating different degrees of the clustering of habitats. Further, the loss in net present value as a result of the spatial habitat demands was limited in the case study. We suggest that this modeling approach could be extended to other species with large area requirements and add to the existing tools for forest biodiversity assessment in forest management planning.

Authors/Creators:Öhman, Karin and Edenius, Lars and Mikusinski, Grzegorz
Title:Optimizing spatial habitat suitability and timber revenue in long-term forest planning
Series/Journal:Canadian journal of forest research (1208-6037)
Year of publishing :2011
Volume:41
Number:3
Page range:543-551
Publisher:NRC Research Press
ISSN:1208-6037
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:K Forestry > K10 Forestry production
L Animal production > L20 Animal ecology
U Auxiliary disciplines > U10 Mathematical and statistical methods
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Hazel Grouse, mixed-integer programming, optimization, spatial planning
URN:NBN:urn:nbn:se:slu:epsilon-e-774
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-774
Additional ID:
Type of IDID
DOI10.1139/X10-232
ID Code:9307
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
External funders:MISTRA
Deposited By: Skogsbiblioteket Umeå
Deposited On:13 Dec 2012 11:16
Metadata Last Modified:02 Dec 2014 10:53

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