4.6 Article

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

期刊

BIOGEOCHEMISTRY
卷 156, 期 1, 页码 75-96

出版社

SPRINGER
DOI: 10.1007/s10533-020-00745-9

关键词

Soil carbon stocks; Pedogenesis; Climate; Land use; Parent material; National ecological observatory network

资金

  1. National Science Foundation [EF-1340681, EF-1340504, EF-1340516, EF-1340250]
  2. Battelle [US001-0000757206]
  3. USDA-Forest Service [16-CR-11242306-071, 17-CR-11242306-028]
  4. National Institute of Food and Agriculture [2017-67003-26481]
  5. University of Michigan Biological Station
  6. National Science Foundation

向作者/读者索取更多资源

This study highlights the importance of within-site replication in investigating the patterns and predictors of SOC stocks, which may reveal localized variations obscured by broad climate patterns. It also shows that factors influencing SOC stocks at continental scales may not necessarily apply within landscapes, emphasizing the need for site-specific studies in understanding soil carbon dynamics.
The 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.

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