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碳、气候与自然干扰:对理解不确定未来森林碳稳定性的机制、挑战及工具的综述

Carbon, climate, and natural disturbance: a review of mechanisms, challenges, and tools for understanding forest carbon stability in an uncertain future.

作者信息

Dye Alex W, Houtman Rachel M, Gao Peng, Anderegg William R L, Fettig Christopher J, Hicke Jeffrey A, Kim John B, Still Christopher J, Young Kevin, Riley Karin L

机构信息

Department of Forest Ecosystems & Society, Oregon State University, Corvallis, OR, USA.

USDA Forest Service Rocky Mountain Research Station, Missoula Fire Sciences Lab, Missoula, MT, USA.

出版信息

Carbon Balance Manag. 2024 Oct 10;19(1):35. doi: 10.1186/s13021-024-00282-0.

Abstract

In this review, we discuss current research on forest carbon risk from natural disturbance under climate change for the United States, with emphasis on advancements in analytical mapping and modeling tools that have potential to drive research for managing future long-term stability of forest carbon. As a natural mechanism for carbon storage, forests are a critical component of meeting climate mitigation strategies designed to combat anthropogenic emissions. Forests consist of long-lived organisms (trees) that can store carbon for centuries or more. However, trees have finite lifespans, and disturbances such as wildfire, insect and disease outbreaks, and drought can hasten tree mortality or reduce tree growth, thereby slowing carbon sequestration, driving carbon emissions, and reducing forest carbon storage in stable pools, particularly the live and standing dead portions that are counted in many carbon offset programs. Many forests have natural disturbance regimes, but climate change and human activities disrupt the frequency and severity of disturbances in ways that are likely to have consequences for the long-term stability of forest carbon. To minimize negative effects and maximize resilience of forest carbon, disturbance risks must be accounted for in carbon offset protocols, carbon management practices, and carbon mapping and modeling techniques. This requires detailed mapping and modeling of the quantities and distribution of forest carbon across the United States and hopefully one day globally; the frequency, severity, and timing of disturbances; the mechanisms by which disturbances affect carbon storage; and how climate change may alter each of these elements. Several tools (e.g. fire spread models, imputed forest inventory models, and forest growth simulators) exist to address one or more of the aforementioned items and can help inform management strategies that reduce forest carbon risk, maintain long-term stability of forest carbon, and further explore challenges, uncertainties, and opportunities for evaluating the continued potential of, and threats to, forests as viable mechanisms for forest carbon storage, including carbon offsets. A growing collective body of research and technological improvements have advanced the science, but we highlight and discuss key limitations, uncertainties, and gaps that remain.

摘要

在本综述中,我们讨论了当前关于气候变化下美国自然干扰导致的森林碳风险的研究,重点关注分析制图和建模工具的进展,这些工具有可能推动森林碳未来长期稳定性管理的研究。作为碳储存的自然机制,森林是实现旨在对抗人为排放的气候缓解战略的关键组成部分。森林由寿命很长的生物体(树木)组成,这些树木可以储存碳达数百年甚至更久。然而,树木的寿命是有限的,野火、病虫害爆发和干旱等干扰会加速树木死亡或减缓树木生长,从而减缓碳固存,导致碳排放,并减少稳定库中的森林碳储存,特别是许多碳抵消计划中计算的活立木和枯立木部分。许多森林具有自然干扰模式,但气候变化和人类活动以可能对森林碳的长期稳定性产生影响的方式扰乱了干扰的频率和严重程度。为了将负面影响降至最低并使森林碳的恢复力最大化,必须在碳抵消协议、碳管理实践以及碳制图和建模技术中考虑干扰风险。这需要对美国乃至有望在全球范围内详细绘制森林碳的数量和分布;干扰的频率、严重程度和时间;干扰影响碳储存的机制;以及气候变化如何改变这些要素。有几种工具(例如火灾蔓延模型、估算森林清查模型和森林生长模拟器)可用于解决上述一个或多个问题,并有助于为降低森林碳风险、维持森林碳长期稳定性的管理策略提供信息,还能进一步探索评估森林作为森林碳储存可行机制(包括碳抵消)的持续潜力和面临的威胁所涉及的挑战、不确定性和机遇。越来越多的研究成果和技术改进推动了这一科学领域的发展,但我们也强调并讨论了仍然存在的关键局限性、不确定性和差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f1/11468384/db18d695329e/13021_2024_282_Fig1_HTML.jpg

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