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  • 1.
    Angelstam, Per
    et al.
    SLU.
    Mikusinski, Grzegorz
    Örebro.
    Rönnbäck, Britt-Inger
    Östman, Anders
    Lazdinis, Marius
    SLU.
    Roberge, Jean-Michel
    SLU.
    Arnberg, W.
    Stockholms Universitet.
    Olsson, Jan
    Örebro.
    Two-dimensional gap analysis: a tool for efficient conservation planning and biodiversity policy implementation2003In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 32, no 8, p. 527-534Article in journal (Refereed)
    Abstract [en]

    The maintenance of biodiversity by securing representative and well-connected habitat networks in managed landscapes requires a wise combination of protection, management, and restoration of habitats at several scales. We suggest that the integration of natural and social sciences in the form of "Two-dimensional gap analysis" is an efficient tool for the implementation of biodiversity policies. The tool links biologically relevant "horizontal" ecological issues with "vertical" issues related to institutions and other societal issues. Using forest biodiversity as an example, we illustrate how one can combine ecological and institutional aspects of biodiversity conservation, thus facilitating environmentally sustainable regional development. In particular, we use regional gap analysis for identification of focal forest types, habitat modelling for ascertaining the functional connectivity of "green infrastructures", as tools for the horizontal gap analysis. For the vertical dimension we suggest how the social sciences can be used for assessing the success in the implementation of biodiversity policies in real landscapes by identifying institutional obstacles while implementing policies. We argue that this interdisciplinary approach could be applied in a whole range of other environments including other terrestrial biota and aquatic ecosystems where functional habitat connectivity, nonlinear response to habitat loss and a multitude of economic and social interests co-occur in the same landscape.

  • 2.
    Olofsson, Mats
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.
    Östman, Anders
    University of Gävle, Gävle GIS Institute.
    Optimizing dynamic network configurations2006In: Proceedings of the 9th AGILE Conference on Geographic Information Science, 2006, p. 247-254Conference paper (Other academic)
  • 3. Rönnbäck, Britt-Inger
    et al.
    Nordberg, Maj-Liz
    Department of Physical Geography, Quaternary Geology, Stockholm University.
    Olsson, Anders
    Luleå tekniska universitet.
    Östman, Anders
    Evaluation of environmental monitoring strategies2003In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 32, no 8, p. 495-501Article in journal (Refereed)
    Abstract [en]

    In environmental monitoring, it is important that the monitoring system should emit early warnings when undesired events occur. These events may be sudden or of a more subtle nature. In the design of such monitoring systems, a proper balance between cost and risk must be achieved. There are 2 classic types of risk connected with early warning systems, namely the risk of not detecting significant changes and the risk of false alarms. The purpose of this paper is to describe a method for comparing the performance of different monitoring systems, considering the classic types of risk and cost. The method is applied to the monitoring of the lichen cover as a test case. The expected utility has been used as a measure of performance. When estimating the probabilities of the events, spatial microsimulation and Monte-Carlo simulation techniques have been used. The monitoring programs studied are based on satellite images, aerial photos, field samples, and land-cover maps. The major conclusions of this study are that standardized quality measures are extremely useful for evaluating the usability of environmental monitoring methods. In addition, when estimating gains and costs, spatial microsimulation techniques are useful. To improve the method, however, macroconstraints should also be used for aligning the simulation model.

  • 4. Östman, Anders
    et al.
    Forsberg, Åke
    Luleå tekniska universitet.
    Lundborg, Glenn
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.
    Samhällsplanering: kunskapsunderlag och miljökonsekvenser1994Report (Other academic)
1 - 4 of 4
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