Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.13926 |
Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks | |
Bailey, Vanessa L.1; Bond-Lamberty, Ben2; DeAngelis, Kristen3; Grandy, A. Stuart4; Hawkes, Christine V.5; Heckman, Kate6; Lajtha, Kate7; Phillips, Richard P.8; Sulman, Benjamin N.9; Todd-Brown, Katherine E. O.1; Wallenstein, Matthew D.10 | |
2018-03-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2018 |
卷号 | 24期号:3页码:895-905 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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. |
英文关键词 | clay CUE models soil carbon soil organic matter |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425396700005 |
WOS关键词 | ORGANIC-MATTER STABILIZATION ; MICROBIAL COMMUNITIES ; USE EFFICIENCY ; LAND-USE ; BACTERIAL RATIOS ; SURFACE-AREA ; EARTH SYSTEM ; FOREST ; STORAGE ; FUNGAL |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/16498 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Pacific Northwest Natl Lab, Richland, WA 99354 USA; 2.Univ Maryland, Joint Global Change Res Inst, Pacific Northwest Natl Lab, College Pk, MD 20742 USA; 3.Univ Massachusetts, Dept Microbiol, Amherst, MA 01003 USA; 4.Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA; 5.Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA; 6.US Forest Serv, USDA, Northern Res Stn, Houghton, MI USA; 7.Oregon State Univ, Dept Crop & Soil Sci, Corvallis, OR 97331 USA; 8.Indiana Univ, Dept Biol, Bloomington, IN USA; 9.Princeton Univ, Dept Geosci, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA; 10.Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Bailey, Vanessa L.,Bond-Lamberty, Ben,DeAngelis, Kristen,et al. Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks[J]. GLOBAL CHANGE BIOLOGY,2018,24(3):895-905. |
APA | Bailey, Vanessa L..,Bond-Lamberty, Ben.,DeAngelis, Kristen.,Grandy, A. Stuart.,Hawkes, Christine V..,...&Wallenstein, Matthew D..(2018).Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks.GLOBAL CHANGE BIOLOGY,24(3),895-905. |
MLA | Bailey, Vanessa L.,et al."Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks".GLOBAL CHANGE BIOLOGY 24.3(2018):895-905. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论