Soil carbon sequestration potential in the Hudson Valley, New York--A pilot study utilizing COMET-VR

Rosenzweig, Cynthia; Bartges, Sarah; Powell, Alison; Garcia, Jake; Neofotis, Peter; LaBelle, Judith; Snyder, Joan A.; Kong, Angela Y. Y.; Hillel, Daniel

doi:10.2489/jswc.65.3.68a

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Storing carbon in soils through sequestration not only reduces the emissions of CO 2 and increases the total content of soil organic matter (SOM) and associated SOC but also it improves soil health, air and water quality, increases crop yield and sustains agricultural production (Post and Kwon, 2000;Lal, 2002 and2004;Cai and Qin, 2006;Powlson et al, 2011). The loss of SOM from soils following conversion from native prairie or forest to crop production is well documented (Follett et al, 1997;Janzen et al, 1998;Paustian et al, 1998;Rasmussen and Albrecht, 1998;Lal et al, 1999;Bellamy et al, 2005;Leite et al, 2009;Plaza et al, 2012). Using historical records Liebig et al (2005) estimated an average loss of SOC in the northwest USA region at 12.1±7.9 g C kg -1 soil for soil depths ≤30 cm.…”

Section: Introductionmentioning

confidence: 99%

Simulating soil organic carbon changes across toposequences under dryland agriculture using CQESTR

Gollany

Elnaggar

2017

Ecological Modelling

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Walthall for his support to the modeling effort, and anonymous reviewers for helpful comment and suggestions. We thank Chris Roager, Amy Baker, Christopher Iacoboni and Wayne Polumsky at the USDA-ARS in Pendleton, Oregon for their help with preparing and analyzing the collected soil samples. The U.S. Department of Agriculture is an equal opportunity provider and employer. Mention of commercial products and organizations in this manuscript is solely to provide specific information. It does not constitute endorsement by USDA-ARS over other products and organizations not mentioned. This publication is based upon work supported by the U.

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Section: Introductionmentioning

confidence: 99%

Simulating soil organic carbon changes across toposequences under dryland agriculture using CQESTR

Gollany

Elnaggar

2017

Ecological Modelling

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CQESTR Simulation of Dryland Agroecosystem Soil Organic Carbon Changes under Climate Change Scenarios

Gollany

2015

Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation An

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Soil organic carbon assessment using the Carbon Management Evaluation Tool for Voluntary Reporting and the Soil Conditioning Index

Komé¹,

Andrews²,

Franzluebbers³

2013

Journal of Soil and Water Conservation

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Simple, yet reliable models are needed to quantify soil organic carbon (SOC) changes for the wide diversity of agricultural management conditions in the United States. We compared the outputs of two relatively simple models currently available for farmers and government-financed farm support agencies: the Carbon (C) Management Evaluation Tool for Voluntary Reporting of Greenhouse Gases (COMET-VR) and the Soil Conditioning Index (SCI). Simulations were conducted for 18 locations throughout the United States for five soil textural regimes (loamy sand, sandy loam, silt loam, clay loam, and silty clay loam), three tillage management systems (conventional tillage [CT], minimum tillage [MT], and no tillage [NT]), and two crop rotations (wheat [Triticum aestivum L.]-potato [Solanum tuberosum L.] and wheat-four-year alfalfa [Medicago sativa L.] in western states and corn [Zea mays L.]-soybean [Glycine max L.] and corn-soybean-wheat in eastern states). Both models ranked SOC change as NT > MT > CT, whereby SOC change decreased with increasing soil disturbance with tillage. However, models were divergent with regards to soil texture; SOC change was greater in coarse-textured than in fine-textured soils with COMET-VR, but SOC change was lower in coarse-textured than in fine-textured soils with SCI. For crop rotations, SOC change was greater or equal in simpler than in more complex rotation with COMET-VR, but smaller in simpler than in more complex rotations with SCI. Overall, SOC sequestration predicted by COMET-VR was positively related to SCI score, especially when accounting for differences in environmental conditions of a location. Our results suggest that both models have value and limitations and that measures of SOC sequestration are predictable with these tools under a diversity of typical management conditions in the United States.

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Soil carbon sequestration potential in the Hudson Valley, New York--A pilot study utilizing COMET-VR

Cited by 3 publications

References 9 publications

Simulating soil organic carbon changes across toposequences under dryland agriculture using CQESTR

Simulating soil organic carbon changes across toposequences under dryland agriculture using CQESTR

CQESTR Simulation of Dryland Agroecosystem Soil Organic Carbon Changes under Climate Change Scenarios

Soil organic carbon assessment using the Carbon Management Evaluation Tool for Voluntary Reporting and the Soil Conditioning Index

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