气候变化领域集成服务门户(CCPortal): Soil Organic Carbon Across Mexico and the Conterminous United States (1991

CCPortal

DOI	10.1029/2019GB006219
	Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010)
	Guevara M.; Arroyo C.; Brunsell N.; Cruz C.O.; Domke G.; Equihua J.; Etchevers J.; Hayes D.; Hengl T.; Ibelles A.; Johnson K.; de Jong B.; Libohova Z.; Llamas R.; Nave L.; Ornelas J.L.; Paz F.; Ressl R.; Schwartz A.; Victoria A.; Wills S.; Vargas R.
发表日期	2020
ISSN	0886-6236
EISSN	1944-9224
起始页码	no
卷号	34 期号:3
英文摘要	Soil organic carbon (SOC) information is fundamental for improving global carbon cycle modeling efforts, but discrepancies exist from country-to-global scales. We predicted the spatial distribution of SOC stocks (topsoil; 0–30 cm) and quantified modeling uncertainty across Mexico and the conterminous United States (CONUS). We used a multisource SOC dataset (>10 000 pedons, between 1991 and 2010) coupled with a simulated annealing regression framework that accounts for variable selection. Our model explained ~50% of SOC spatial variability (across 250-m grids). We analyzed model variance, and the residual variance of six conventional pedotransfer functions for estimating bulk density to calculate SOC stocks. Two independent datasets confirmed that the SOC stock for both countries represents between 46 and 47 Pg with a total modeling variance of ±12 Pg. We report a residual variance of 10.4 ±5.1 Pg of SOC stocks calculated from six pedotransfer functions for soil bulk density. When reducing training data to define decades with relatively higher density of observations (1991–2000 and 2001–2010, respectively), model variance for predicted SOC stocks ranged between 41 and 55 Pg. We found nearly 42% of SOC across Mexico in forests and 24% in croplands, whereas 31% was found in forests and 28% in croplands across CONUS. Grasslands and shrublands stored 29 and 35% of SOC across Mexico and CONUS, respectively. We predicted SOC stocks >30% below recent global estimates that do not account for uncertainty and are based on legacy data. Our results provide insights for interpretation of estimates based on SOC legacy data and benchmarks for improving regional-to-global monitoring efforts. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	simulated annealing; soil organic carbon; spatial variability; uncertainty
语种	英语
scopus关键词	bulk density; carbon cycle; data set; simulated annealing; soil carbon; soil organic matter; spatial distribution; uncertainty analysis; Mexico [North America]; United States
来源期刊	Global Biogeochemical Cycles
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/129656
作者单位	Department of Plant and Soil Sciences, University of Delaware, Newark, DE, United States; Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Mexico City, Mexico; Department of Geography and Atmospheric Science, The University of Kansas, Lawrence, KS, United States; Instituto Nacional de Estadística y Geografía, Aguascalientes, Mexico; U.S. Department of Agriculture, Forest Service, Northern Research Station, St. Paul, MN, United States; EnvirometriX Ltd—Research, Innovation and Consultancy, Wageningen, Netherlands; Colegio de Postgraduados, Campus Montecillo, Montecillo, Mexico; School of Forest Resources, University of Maine, Orono, ME, United States; Colegio de la Frontera Sur, Unidad Campeche, Campeche, Mexico; National Soil Resource Conservation Service, Lincoln, NE, United States; The International Soil Carbon Network, University of Michigan Biological Station, Pellston, MI, United States; Information Technologies, University of Delaware, Newark, DE, United States
推荐引用方式 GB/T 7714	Guevara M.,Arroyo C.,Brunsell N.,等. Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010)[J],2020,34(3).
APA	Guevara M..,Arroyo C..,Brunsell N..,Cruz C.O..,Domke G..,...&Vargas R..(2020).Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010).Global Biogeochemical Cycles,34(3).
MLA	Guevara M.,et al."Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010)".Global Biogeochemical Cycles 34.3(2020).