预测不同气候和土壤pH值下矿物相关而非颗粒有机碳的土壤基质容量指数

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Biogeochemistry Pub Date : 2023-07-19 DOI:10.1007/s10533-023-01066-3
Alison E. King, Joseph P. Amsili, S. Carolina Córdova, Steve Culman, Steven J. Fonte, James Kotcon, Mark Liebig, Michael D. Masters, Kent McVay, Daniel C. Olk, Meagan Schipanski, Sharon K. Schneider, Catherine E. Stewart, M. Francesca Cotrufo
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引用次数: 0

摘要

了解对土壤有机碳(SOC)的控制对于管理土壤以减缓气候变化和粮食安全至关重要。气候对土壤有机碳具有全面的影响,既影响土壤的碳(C)输入,也影响参与碳保持的土壤理化性质。为了验证我们的假设,即气候、碳输入和土壤性质会对颗粒有机碳(POC)和矿物相关有机碳(MAOC)产生不同的影响,我们采样了16个农业地点(n?=?)124个样地),范围包括气候(年平均降水(MAP) -潜在蒸散(PET;MAP-PET)、土壤pH值(5.8-7.9)和土壤质地(粉土+粘土= 13-96%)。随着MAP-PET含量的增加,土壤中草酸可萃取铁(FeO)和铝(AlO)含量增加,交换性钙(Caex)和镁(Mgex)含量减少,碳输入增加。土壤理化性质不能很好地预测POC,这证实了土壤有机碳组分与土壤基质的相对独立性。相比之下,结合AlO?+?[1/2]FeO与Caex?+?在“基质容量指数”中,Mgex的表现优于所有pH水平下的单个土壤理化性质(r?>?0.79)。结构方程模型表明,MAP-PET对MAOC和POC的总效应相似,该效应受总碳输入和MAOC的基质容量指数的调节,但不受POC的调节。我们的研究结果强调,有必要分别对MAOC和POC进行概念化控制,并证明使用统一的土壤基质容量指数来预测土壤MAOC储量是合理的。
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A soil matrix capacity index to predict mineral-associated but not particulate organic carbon across a range of climate and soil pH

Understanding controls on soil organic carbon (SOC) will be crucial to managing soils for climate change mitigation and food security. Climate exerts an overarching influence on SOC, affecting both carbon (C) inputs to soil and soil physicochemical properties participating in C retention. To test our hypothesis that climate, C inputs, and soil properties would differently affect particulate organic carbon (POC) and mineral-associated organic carbon (MAOC), we sampled 16 agricultural sites (n?=?124 plots) in the United States, ranging in climate (mean annual precipitation (MAP)—potential evapotranspiration (PET; MAP-PET)), soil pH (5.8–7.9), and soil texture (silt?+?clay?=?13–96%). As MAP-PET increased, soils increased in oxalate-extractable iron (FeO) and aluminum (AlO), decreased in exchangeable calcium (Caex) and magnesium (Mgex), and received greater C inputs. Soil physicochemical properties did not strongly predict POC, confirming the relative independence of this SOC fraction from the soil matrix. In contrast, MAOC was well predicted by combining AlO?+?[1/2]FeO with Caex?+?Mgex in a ‘matrix capacity index’, which performed better than individual soil physicochemical properties across all pH levels (r?>?0.79). Structural equation modeling indicated a similar total effect of MAP-PET on MAOC and POC, which was mediated by total C inputs and the matrix capacity index for MAOC but not POC. Our results emphasize the need to separately conceptualize controls on MAOC and POC and justify the use of a unified soil matrix capacity index for predicting soil MAOC storage.

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来源期刊
Biogeochemistry
Biogeochemistry 环境科学-地球科学综合
CiteScore
7.10
自引率
5.00%
发文量
112
审稿时长
3.2 months
期刊介绍: Biogeochemistry publishes original and synthetic papers dealing with biotic controls on the chemistry of the environment, or with the geochemical control of the structure and function of ecosystems. Cycles are considered, either of individual elements or of specific classes of natural or anthropogenic compounds in ecosystems. Particular emphasis is given to coupled interactions of element cycles. The journal spans from the molecular to global scales to elucidate the mechanisms driving patterns in biogeochemical cycles through space and time. Studies on both natural and artificial ecosystems are published when they contribute to a general understanding of biogeochemistry.
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