globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13926
Scopus记录号: 2-s2.0-85042143469
论文题名:
Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks
作者: Bailey V.L.; Bond-Lamberty B.; DeAngelis K.; Grandy A.S.; Hawkes C.V.; Heckman K.; Lajtha K.; Phillips R.P.; Sulman B.N.; Todd-Brown K.E.O.; Wallenstein M.D.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期:3
起始页码: 895
结束页码: 905
语种: 英语
英文关键词: clay ; CUE ; models ; soil carbon ; soil organic matter
英文摘要: The complexity of processes and interactions that drive soil C dynamics necessitate the use of proxy variables to represent soil characteristics that cannot be directly measured (correlative proxies), or that aggregate information about multiple soil characteristics into one variable (integrative proxies). These proxies have proven useful for understanding the soil C cycle, which is highly variable in both space and time, and are now being used to make predictions of the fate and persistence of C under future climate scenarios. However, the C pools and processes that proxies represent must be thoughtfully considered in order to minimize uncertainties in empirical understanding. This is necessary to capture the full value of a proxy in model parameters and in model outcomes. Here, we provide specific examples of proxy variables that could improve decision-making, and modeling skill, while also encouraging continued work on their mechanistic underpinnings. We explore the use of three common soil proxies used to study soil C cycling: metabolic quotient, clay content, and physical fractionation. We also consider how emerging data types, such as genome-sequence data, can serve as proxies for microbial community activities. By examining some broad assumptions in soil C cycling with the proxies already in use, we can develop new hypotheses and specify criteria for new and needed proxies. © 2017 John Wiley & Sons Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110482
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Pacific Northwest National Laboratory, Richland, WA, United States; Pacific Northwest National Laboratory, Joint Global Change Research Institute, University of Maryland, College Park, MD, United States; Department of Microbiology, University of Massachusetts Amherst, Amherst, MA, United States; Department of Natural Resources and Environment, University of New Hampshire, Durham, NH, United States; Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States; Northern Research Station, USDA Forest Service, Houghton, MI, United States; Department of Crop and Soil Sciences, Oregon State University, Corvallis, OR, United States; Department of Biology, Indiana University Bloomington, Bloomington, IN, United States; Program in Atmospheric and Oceanic Sciences, Department of Geosciences, Princeton University, Princeton, NJ, United States; Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States

Recommended Citation:
Bailey V.L.,Bond-Lamberty B.,DeAngelis K.,et al. Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks[J]. Global Change Biology,2018-01-01,24(3)
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