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RESEARCH PRODUCT
Projecting biodiversity and wood production in future forest landscapes: 15 key modeling considerations
Adam FeltonJari HynynenTomas LundmarkArtti JuutinenThomas RaniusAnnika NordinUrban NilssonTomas LämåsMikko MönkkönenJean-michel RobergeKarin ÖHmansubject
forest dynamics0106 biological sciencesConservation of Natural ResourcesEnvironmental Engineering010504 meteorology & atmospheric sciencesComputer sciencepopulation modelsForestsManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesEcosystem servicessensitivity analysisForest ecologyNatural resource managementWaste Management and DisposalEcosystem0105 earth and related environmental sciencesForest dynamicsWood productiondiscountingbusiness.industryEnvironmental resource managementBiodiversityGeneral Medicineta4112WoodVariety (cybernetics)natural resource managementSustainabilityvirtual speciesta1181Conservation biologybusinessdescription
A variety of modeling approaches can be used to project the future development of forest systems, and help to assess the implications of different management alternatives for biodiversity and ecosystem services. This diversity of approaches does however present both an opportunity and an obstacle for those trying to decide which modeling technique to apply, and interpreting the management implications of model output. Furthermore, the breadth of issues relevant to addressing key questions related to forest ecology, conservation biology, silviculture, economics, requires insights stemming from a number of distinct scientific disciplines. As forest planners, conservation ecologists, ecological economists and silviculturalists, experienced with modeling trade-offs and synergies between biodiversity and wood biomass production, we identified fifteen key considerations relevant to assessing the pros and cons of alternative modeling approaches. Specifically we identified key considerations linked to study question formulation, modeling forest dynamics, forest processes, study landscapes, spatial and temporal aspects, and the key response metrics - biodiversity and wood biomass production, as well as dealing with trade-offs and uncertainties. We also provide illustrative examples from the modeling literature stemming from the key considerations assessed. We use our findings to reiterate the need for explicitly addressing and conveying the limitations and uncertainties of any modeling approach taken, and the need for interdisciplinary research efforts when addressing the conservation of biodiversity and sustainable use of environmental resources.
year | journal | country | edition | language |
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2017-01-05 | Journal of Environmental Management |