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Managing Carbon on Federal Public Lands: Opportunities and Challenges in Southwestern Colorado

机译:在联邦公共土地上管理碳:科罗拉多州西南部的机遇与挑战

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摘要

Federal lands in the United States have been identified as important areas where forests could be managed to enhance carbon storage and help mitigate climate change. However, there has been little work examining the context for decision making for carbon in a multiple-use public land environment, and how science can support decision making. This case study of the San Juan National Forest and the Bureau of Land Management Tres Rios Field Office in southwestern Colorado examines whether land managers in these offices have adequate tools, information, and management flexibility to practice effective carbon stewardship. To understand how carbon was distributed on the management landscape we added a newly developed carbon map for the SJNF-TRFO area based on Landsat TM texture information (Kelsey and Neff in Remote Sens 6:6407-6422. doi:10.3390/rs6076407, 2014). We estimate that only about 22 % of the aboveground carbon in the SJNF-TRFO is in areas designated for active management, whereas about 38 % is in areas with limited management opportunities, and 29 % is in areas where natural processes should dominate. To project the effects of forest management actions on carbon storage, staff of the SJNF are expected to use the Forest Vegetation Simulator (FVS) and extensions. While identifying FVS as the best tool generally available for this purpose, the users and developers we interviewed highlighted the limitations of applying an empirically based model over long time horizons. Future research to improve information on carbon storage should focus on locations and types of vegetation where carbon management is feasible and aligns with other management priorities.
机译:美国的联邦土地已被确定为可以管理森林以增加碳储存和帮助缓解气候变化的重要地区。但是,很少有工作研究在多种用途的公共土地环境中进行碳决策的背景,以及科学如何支持决策。这项针对圣胡安国家森林局和科罗拉多州西南部土地管理局Tres Rios外地办事处的案例研究探讨了这些办事处中的土地管理者是否具有足够的工具,信息和管理灵活性来实施有效的碳管理。为了了解碳在管理景观中的分布方式,我们基于Landsat TM纹理信息为SJNF-TRFO地区添加了新开发的碳图(Kelsey和Neff in Remote Sens 6:6407-6422。doi:10.3390 / rs6076407,2014) 。我们估计SJNF-TRFO中仅约22%的地上碳位于指定用于主动管理的区域,而约38%的区域位于管理机会有限的区域,而29%的区域应由自然过程主导。为了预测森林经营活动对碳储存的影响,SJNF的员工应使用森林植被模拟器(FVS)和扩展。在将FVS确定为通常可用于此目的的最佳工具的同时,我们采访的用户和开发人员强调了在很长时间内应用基于经验的模型的局限性。未来有关改善碳储存信息的研究应集中在可行的碳管理并与其他管理重点保持一致的植被位置和类型上。

著录项

  • 来源
    《Environmental Management》 |2016年第2期|283-296|共14页
  • 作者单位

    Environmental Studies Program, Center for Science and Technology Policy Research, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, USA,Western Water Assessment, University of Colorado Boulder, Boulder, CO 80309, USA;

    Environmental Studies Program, University of Colorado Boulder, Boulder, CO 80309, USA,Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK 99501, USA;

    Environmental Studies Program, University of Colorado Boulder, Boulder, CO 80309, USA;

    Environmental Studies Program, University of Colorado Boulder, Boulder, CO 80309, USA;

    Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA;

    Environmental Studies Program, University of Colorado Boulder, Boulder, CO 80309, USA;

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

    Carbon management; Sequestration; Public lands; Decision Making; modeling; Climate change;

    机译:碳管理;隔离;公共土地;做决定;造型;气候变化;

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