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Projecting biodiversity and wood production in future forest landscapes: 15 key modeling considerations

机译:预测未来森林景观中的生物多样性和木材产量:15个主要建模考虑

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摘要

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.
机译:可以使用各种建模方法来预测森林系统的未来发展,并帮助评估不同管理替代方案对生物多样性和生态系统服务的影响。但是,对于试图决定采用哪种建模技术并解释模型输出的管理含义的人们来说,这种方法的多样性确实带来了机遇和障碍。此外,与解决与森林生态学,保护生物学,造林,经济学有关的关键问题有关的问题的广度,需要来自许多不同科学学科的见解。作为森林规划师,保护生态学家,生态经济学家和造林学家,他们在模拟折衷方案以及生物多样性和木材生物量生产之间的协同作用方面经验丰富,因此,我们确定了与评估替代建模方法的利弊有关的十五个关键考虑因素。具体来说,我们确定了与研究问题制定,森林动力学建模,森林过程,研究景观,时空方面以及关键响应指标(生物多样性和木材生物量生产以及权衡和不确定性)相关的关键考虑因素。我们还根据评估的关键因素提供了来自建模文献的说明性示例。我们使用我们的发现来重申需要明确解决和传达所采用的任何建模方法的局限性和不确定性,以及在解决生物多样性保护和环境资源的可持续利用时需要进行跨学科研究。

著录项

  • 来源
    《Journal of Environmental Management》 |2017年第15期|404-414|共11页
  • 作者单位

    Southern Swedish Forest Research Centre, SLU, SE-230 53 Alnarp, Sweden;

    Department of Ecology, SLU, Box 7044, SE-750 07 Uppsala, Sweden;

    Department of Wildlife, Fish and Environmental Studies, SLU, SE-901 83 Umea, Sweden , Department of Forest Resource Management, SLU, SE-901 83 Umed, Sweden;

    Department of Forest Resource Management, SLU, SE-901 83 Umed, Sweden;

    Department of Forest Resource Management, SLU, SE-901 83 Umed, Sweden;

    The Finnish Forest Research Institute, F1-01301 Vantaa, Finland;

    Natural Resources Institute Finland, F1-90014 University of Oulu, Finland ,Department of Economics, F1- 90014 University of Oulu, Finland;

    Department of Biological and Environmental Science, POB 35, F1-40014, University of Jyvaskyla, Finland;

    Southern Swedish Forest Research Centre, SLU, SE-230 53 Alnarp, Sweden;

    Department of Forest Ecology and Management, SLU, SE-901 83 Umea, Sweden;

    Department of Forest Genetics and Plant Physiology, SLU, SE-901 83 Umea, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Forest dynamics; Population models; Natural resource management; Discounting; Virtual species; Sensitivity analysis;

    机译:森林动力;人口模型;自然资源管理;折扣;虚拟物种;敏感性分析;

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