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将我们的科学知识联网,以描述土壤有机质的状态、脆弱性和管理机会。

Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter.

机构信息

Department of Earth System Science, Stanford University, Stanford, CA, USA.

U.S. Geological Survey, Menlo Park, CA, USA.

出版信息

Glob Chang Biol. 2018 Feb;24(2):e705-e718. doi: 10.1111/gcb.13896. Epub 2017 Oct 5.

Abstract

Soil organic matter (SOM) supports the Earth's ability to sustain terrestrial ecosystems, provide food and fiber, and retains the largest pool of actively cycling carbon. Over 75% of the soil organic carbon (SOC) in the top meter of soil is directly affected by human land use. Large land areas have lost SOC as a result of land use practices, yet there are compensatory opportunities to enhance productivity and SOC storage in degraded lands through improved management practices. Large areas with and without intentional management are also being subjected to rapid changes in climate, making many SOC stocks vulnerable to losses by decomposition or disturbance. In order to quantify potential SOC losses or sequestration at field, regional, and global scales, measurements for detecting changes in SOC are needed. Such measurements and soil-management best practices should be based on well established and emerging scientific understanding of processes of C stabilization and destabilization over various timescales, soil types, and spatial scales. As newly engaged members of the International Soil Carbon Network, we have identified gaps in data, modeling, and communication that underscore the need for an open, shared network to frame and guide the study of SOM and SOC and their management for sustained production and climate regulation.

摘要

土壤有机质(SOM)支撑着地球维持陆地生态系统的能力,提供食物和纤维,并保持着最大的活跃碳循环库。超过 75%的表层土壤有机碳(SOC)直接受到人类土地利用的影响。由于土地利用实践,大量土地失去了 SOC,但通过改进管理实践,在退化土地上提高生产力和 SOC 储存仍然有补偿机会。有和没有故意管理的大面积土地也正在经历快速的气候变化,使得许多 SOC 储量容易因分解或干扰而损失。为了在田间、区域和全球范围内量化潜在的 SOC 损失或固存,需要进行 SOC 变化的检测测量。这些测量和土壤管理最佳实践应该基于对不同时间尺度、土壤类型和空间尺度下 C 稳定和不稳定过程的成熟和新兴科学认识。作为国际土壤碳网络的新成员,我们已经确定了数据、建模和交流方面的差距,这突显了需要一个开放的、共享的网络来构建和指导 SOM 和 SOC 的研究及其管理,以实现可持续生产和气候调节。

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