Patterns and predictors of soil organic carbon storage across a continental-scale network

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dc.contributor.authorNave, Lucas E.en
dc.contributor.authorBowman, Maggie M.en
dc.contributor.authorGallo, Adrian C.en
dc.contributor.authorHatten, Jeff A.en
dc.contributor.authorHeckman, Katherine A.en
dc.contributor.authorMatosziuk, Lauren M.en
dc.contributor.authorPossinger, Angela R.en
dc.contributor.authorSanClements, Michael D.en
dc.contributor.authorSanderman, J.en
dc.contributor.authorStrahm, Brian D.en
dc.contributor.authorWeiglein, Tyler L.en
dc.contributor.authorSwanston, Christopher W.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2021-03-03T18:23:17Zen
dc.date.available2021-03-03T18:23:17Zen
dc.date.issued2021-01-30en
dc.description.abstractThe rarity of rapid campaigns to characterize soils across scales limits opportunities to investigate variation in soil carbon stocks (SOC) storage simultaneously at large and small scales, with and without site-level replication. We used data from two complementary campaigns at 40 sites in the United States across the National Ecological Observatory Network (NEON), in which one campaign sampled profiles from closely co-located intensive plots and physically composited similar horizons, and the other sampled dozens of pedons across the landscape at each site. We demonstrate some consistencies between these distinct designs, while also revealing that within-site replication reveals patterns and predictors of SOC stocks not detectable with non-replicated designs. Both designs demonstrate that SOC stocks of whole soil profiles vary across continental-scale climate gradients. However, broad climate patterns may mask the importance of localized variation in soil physicochemical properties, as captured by within-site sampling, especially for SOC stocks of discrete genetic horizons. Within-site replication also reveals examples in which expectations based on readily explained continental-scale patterns do not hold. For example, even wide-ranging drainage class sequences within landscapes do not duplicate the clear differences in profile SOC stocks across drainage classes at the continental scale, and physicochemical factors associated with increasing B horizon SOC stocks at continental scales frequently do not follow the same patterns within landscapes. Because inferences from SOC studies are a product of their context (where, when, how), this study provides context-in terms of SOC stocks and the factors that influence them-for others assessing soils and the C cycle at NEON sites.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesThe authors wish to acknowledge Kate Lajtha, Samantha Weintraub, and Will Wieder for their dedication to the special journal issue to which this paper was submitted, and to the anonymous reviewers whose comments improved it from its manuscript form. James Klapperich, Dave Mitchem, Paula Zermeno, and Rommel Zulueta made critical contributions to the acquisition of samples and data used in this analysis, and the USDA-NRCS NSSC, Kellogg Soil Survey Laboratory considerably facilitated data access. The National Ecological Observatory Network is a project sponsored by the National Science Foundation and managed under cooperative agreement by Battelle Memorial Institute, and this work was made possible by support from the National Science Foundation (Award Nos. EF-1340681, EF-1340504, EF-1340516, EF-1340250), Battelle (US001-0000757206), the USDA-Forest Service (Award Nos. 16-CR-11242306-071,17-CR-11242306-028) and National Institute of Food and Agriculture (2017-67003-26481), and the University of Michigan Biological Station.en
dc.description.sponsorshipNational Science FoundationNational Science Foundation (NSF) [EF-1340681, EF-1340504, EF-1340516, EF-1340250]; Battelle [US001-0000757206]; USDA-Forest ServiceUnited States Department of Agriculture (USDA)United States Forest Service [16-CR-11242306-071, 17-CR-11242306-028]; National Institute of Food and AgricultureUnited States Department of Agriculture (USDA)National Institute of Food and Agriculture [2017-67003-26481]; University of Michigan Biological StationUniversity of Michigan System; National Science FoundationNational Science Foundation (NSF)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s10533-020-00745-9en
dc.identifier.eissn1573-515Xen
dc.identifier.issn0168-2563en
dc.identifier.urihttp://hdl.handle.net/10919/102584en
dc.language.isoenen
dc.rightsPublic Domainen
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.subjectSoil carbon stocksen
dc.subjectPedogenesisen
dc.subjectClimateen
dc.subjectLand useen
dc.subjectParent materialen
dc.subjectNational ecological observatory networken
dc.titlePatterns and predictors of soil organic carbon storage across a continental-scale networken
dc.title.serialBiogeochemistryen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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