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Wednesday 8 March 2017

Multiple-use tradeoffs in Swedish mountain region forests

Published Date
Forest Policy and Economics
January 2005, Vol.7(1):3952, doi:10.1016/S1389-9341(03)00010-8
  • Author 
  • Wenchao Zhou ,
  • Peichen Gong
  • Department of Forest Economics, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden

Abstract

This paper examines the tradeoffs between different uses of forests in three communes in the mountain region in northern Sweden. The most important uses of the forests include timber production, preservation of biodiversity, reindeer grazing and recreation. Management outcomes with respect to the different uses are measured in terms of the net present value (NPV) of timber production profits, the sum of deadwood volume over time, the minimum periodic lichen production, and a minimum periodic recreation index (RI). The analysis shows that the forests can be managed to achieve dramatically different mixes of NPV, deadwood volume, and lichen production, whereas the RI varies only within a narrow range. To maximize the NPV, lichen production would reduce by 40% from its maximum level, and the volume of deadwood would be close to 0 in period 2 and thereafter. Maximization of deadwood volume would lead to the maximum lichen production, while the NPV would fall below 0. Maximization of lichen production reduces the NPV by at least 20%, and could reduce the amount of deadwood by up to 75%. When lichen production is restricted to its maximum, there is a wide range of possible choices with respect to the mix of the NPV and deadwood volume. The marginal cost of increasing the deadwood volume ranges from 1.12 to 20 SEK/m3. The choice between lichen production and deadwood volume is most flexible when the NPV is fixed at approximately 93% of its maximum.
Keywords

  • Biodiversity
  • Recreation
  • Reindeer grazing
  • Multiobjective programming
  • Noninferior set estimation method
  • Forest planning

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      Corresponding author. Tel.: +46-90-786-9840; fax: +46-90-786-6073.
    Copyright © 2003 Elsevier B.V. All rights reserved.

    For further details log on website :
    http://www.sciencedirect.com/science/article/pii/S1389934103000108

    Economic effects of environmental concerns in forest management: an analysis of the cost of achieving environmental goals

    Published Date
    Journal of Forest Economics
    14 September 2004, Vol.10(2):97113doi:10.1016/j.jfe.2004.05.003
    • Author 
    • Wenchao Zhou
    • Peichen Gong ,
    • Department of Forest Economics, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden

    Abstract
    This study analyzes the economic effects of environmental concerns in forest management in the Swedish mountain region. The environmental concerns include the amount of deadwood, the area of broad-leaved forest, and the area of old-growth forest. The analysis is performed by formulating a fuzzy linear programming model for the forests in three communes. The model is solved using the modeling to generate alternative approach to generate a number of management plans, which are maximally different from each other in the decision space and are satisfactory with respect to the timber production objective. The results show that, if the forests are managed to meet the interim targets for Healthy Forests, the net present value of the profits of timber production is considerably reduced and this reduction could be as high as 55%. The results also show that among the three environmental goals the increase in deadwood volume is the most restrictive one.


    Keywords

  • Modeling to generate alternatives
  • Ranking of fuzzy numbers
  • Forest planning
  • Multiple-use forestry
  • Biodiversity

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    • Corresponding author. Tel.: +46-90-786-62-71; fax: +46-90-786-60-73
    Copyright © 2004 Elsevier GmbH. All rights reserved.

    For further details log on website :
    http://www.sciencedirect.com/science/article/pii/S1104689904000194

    National spatial crop yield simulation using GIS-based crop production model

    Published Date
    Ecological Modelling
    20 January 2001, Vol.136(2):113129, doi:10.1016/S0304-3800(00)00364-1

    Author 
    • Satya Priya ,
    • Ryosuke Shibasaki 
    • Center for Spatial Information Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan

    Abstract

    Traditional decision support systems based on crop simulation models are normally site-specific. In policy formulation, however, spatial variability of crop production often need to be evaluated due to different soil conditions, weather conditions and agricultural practices within a target-region. To address the spatial variability, a spatial model ‘Spatial EPIC’ was developed based on a crop simulation model EPIC (Erosion Productivity Impact Calculator). Since site-specific crop simulation models require point-based or fine resolution data, it is necessary to feed the fine resolution data at each grid-cell in order to ‘spatialize’ crop simulation models. The authors proposed a method to generate fine resolution data from coarse resolution data, which are usually available at regional or national level. In addition, since the original EPIC crop management practices are static in nature, a dynamic adaptation loop is added to evaluate the impacts of agricultural practice changes over temporal scale. Validation of the spatial EPIC was conducted at different spatial scales, i.e. national scale (approx. 50 km cell-size) and regional scale (approx. 10 km cell-size) in India. Results showed that at both resolutions level crop yield varied significantly as a function of seasonal climatic variation, soil water holding characteristics and applied crop management strategies. Also, the study successfully demonstrated model applicability in evaluating an impact of climate changes over major cereal crops productivity at national level taking spatial variability into account.
    Keywords

  • Crop simulation models
  • Geographic Information Systems
  • Agroecosystem
  • National analysis and planning
  • Crop productivity

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    • Corresponding author. Tel.: +81-3-54526412; fax: +81-3-54526414
    Copyright © 2001 Elsevier Science B.V. All rights reserved.

    For further details log on website :
    http://www.sciencedirect.com/science/article/pii/S0304380000003641

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