Keith Paustian

Colorado State University

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i-10 index

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Co-Authors

Mark Easter

Indigo Information Services (United States)

Richard T. Conant

Colorado State University

Stephen M. Ogle

Colorado State University

Edward T. Elliott

Carilion Roanoke Memorial Hospital

Johan Six

ETH Zurich

Carlos Eduardo Pellegrino Cerri

Forest Science and Research Institute

Stephen Williams

Colorado State University

Eleanor Milne

Food and Agriculture Organization of the United Nations

John M. Antle

Oregon State University

Amy Swan

Colorado State University

Cooperative Institutions

Colorado State University

187

Agricultural Research Service

108

United States Department of Agriculture

Cornell University

Michigan State University

University of California, Berkeley

Universidade de São Paulo

Ecological Society of America

University of Nebraska–Lincoln

University of California, Davis

Author Statistics

Papers

Citation

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Research Field

Soil organic matter pools under management intensification of loblolly pine plantations

Forest Ecology and Management (2019)

Samantha Mosier Keith Paustian Christian A. Davies Michael B. Kane Maurizio Cotrufo

Soil carbon

Thinning

Soil Management

10.1016/j.foreco.2019.05.056

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Citations (17)

Nutrient Cycling in Agroecosystems (1997)

C. V. Cole J. M. Duxbury J. R. Freney O. Heinemeyer Keiichiro Minami

Nitrous oxide

10.1023/a:1009731711346

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Citations (427)

Soil Carbon Saturation: Linking Concept and Measurable Carbon Pools

Soil Science Society of America Journal (2008)

Catherine E. Stewart Alain F. Plante Keith Paustian Richard T. Conant Johan Six

The soil C saturation concept suggests a limit to whole soil organic carbon (SOC) accumulation determined by inherent physicochemical characteristics of four soil C pools: unprotected, physically protected, chemically protected, and biochemically protected. Previous attempts to quantify soil C sequestration capacity have focused primarily on silt and clay protection and largely ignored the effects of soil structural protection and biochemical protection. We assessed two contrasting models of SOC accumulation, one with no saturation limit (i.e., linear first‐order model) and one with an explicit soil C saturation limit (i.e., C saturation model). We isolated soil fractions corresponding to the C pools (i.e., free particulate organic matter [POM], microaggregate‐associated C, silt‐ and clay‐associated C, and nonhydrolyzable C) from eight long‐term agroecosystem experiments across the United States and Canada. Due to the composite nature of the physically protected C pool, we fractioned it into mineral‐ vs. POM‐associated C. Within each site, the number of fractions fitting the C saturation model was directly related to maximum SOC content, suggesting that a broad range in SOC content is necessary to evaluate fraction C saturation. The two sites with the greatest SOC range showed C saturation behavior in the chemically, biochemically, and some mineral‐associated fractions of the physically protected pool. The unprotected pool and the aggregate‐protected POM showed linear, nonsaturating behavior. Evidence of C saturation of chemically and biochemically protected SOC pools was observed at sites far from their theoretical C saturation level, while saturation of aggregate‐protected fractions occurred in soils closer to their C saturation level.

Saturation (graph theory)

Silt

Soil carbon

Agroecosystem

10.2136/sssaj2007.0104

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Citations (306)

The potential for microfinance as a channel for carbon payments: Fred Werneck

Routledge eBooks (2013)

Lydia Olander Stephen J. Del Grosso Karen Haugen-Kozyra R. C. Izaurralde Daniella Malin

To conduct inventories and monitor climate change mitigation in agriculture, we need to be able to quantify the greenhouse gas (GHG) impacts resulting from different agricultural management activities. While we have a rough, but relatively clear picture about the most important opportunities for mitigating agricultural greenhouse gases (Smith et al. 2008, see Seeberg-Elverfeld and Tapio-Biström, this volume), we have considerably less clarity on how to quantify the changes due to mitigation. The purpose of this chapter is to review process-based biogeochemical modeling as one approach to cost-effective and reliable quantification of agricultural greenhouse gases (GHGs) in agriculture.

10.4324/9780203144510-23

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Citations (0)

Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change

Scientific Reports (2020)

Yao Zhang Ernie Marx Stephen Williams Ram Gurung Stephen M. Ogle

Abstract Increasing the amount of soil organic carbon (SOC) has agronomic benefits and the potential to mitigate climate change. Previous regional predictions of SOC trends under climate change often ignore or do not explicitly consider the effect of crop adaptation (i.e., changing planting dates and varieties). We used the DayCent biogeochemical model to examine the effect of adaptation on SOC for corn and soybean production in the U.S. Corn Belt using climate data from three models. Without adaptation, yields of both corn and soybean tended to decrease and the decomposition of SOC tended to increase leading to a loss of SOC with climate change compared to a baseline scenario with no climate change. With adaptation, the model predicted a substantially higher crop yield. The increase in yields and associated carbon input to the SOC pool counteracted the increased decomposition in the adaptation scenarios, leading to similar SOC stocks under different climate change scenarios. Consequently, we found that crop management adaptation to changing climatic conditions strengthen agroecosystem resistance to SOC loss. However, there are differences spatially in SOC trends. The northern part of the region is likely to gain SOC while the southern part of the region is predicted to lose SOC.

Agroecosystem

Soil carbon

Representative Concentration Pathways

Biogeochemical Cycle

Baseline (sea)

10.1038/s41598-020-70819-z

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Citations (9)

An empirically based approach for estimating uncertainty associated with modelling carbon sequestration in soils

Ecological Modelling (2007)

Stephen M. Ogle F. Jay Breidt Mark Easter Steve Williams Keith Paustian

Simulation Modeling

Soil carbon

10.1016/j.ecolmodel.2007.03.007

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Citations (80)

Enhancing simulations of biomass and nitrous oxide emissions in vineyard, orchard, and vegetable cropping systems

Agricultural Systems (2024)

Mu Hong Yao Zhang Lidong Li Keith Paustian

Nitrous oxide

Vineyard

Orchard

10.1016/j.agsy.2024.104243

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Citations (0)

Soil organic carbon as an indicator of environmental quality at the national scale: Inventory monitoring methods and policy relevance

Canadian Journal of Soil Science (2005)

Stephen M. Ogle Keith Paustian

Soil organic carbon (SOC) storage is an indicator of environmental quality for mineral soils because of the influence that organic matter has on key functional properties, such as fertility, soil structure and water relations. Historically, agricultural management has caused large losses of SOC relative to native ecosystems, leading to degradation. However, new technologies and conservation practices have been developed during the past few decades that can enhance SOC storage, and thus improve environmental quality. Our objective was to describe a national inventory procedure to estimate SOC storage for purposes of monitoring environmental quality. The major steps in this procedure include: (1) model selection/development, (2) model verification, (3) identification of model input data, (4) uncertainty assessment, (5) model implementation, and (6) validation of results. Applying this approach with a simple C accounting method, the upper 30 cm of US agricultural soils were estimated to have accumulated 10.8 Tg C yr -1 between 1982 and 1997, with an uncertainty of ± 40%. A simple index was developed to relate estimated SOC stocks to the potential amounts under native conditions and conventional agricultural management. An index value of 0% on the proposed scale would be equivalent to the SOC under conventional a gricultural use, while an index value of 100% would be equivalent to native levels. With an estimated 1997 stock of 22 400 Tg C, the index value for US agricultural soils was about 60%. Using this inventory procedure, environmental issues related to soil, water and air quality could be informed by SOC in combination with other key indicators, in addition to using the inventory for evaluating sustainability of agricultural lands for food and fiber production. Key words: Natural resource inventory, environmental quality indicators, soil organic carbon, land use and management, national inventory, Organization for Economic Co-operation and Develop

Soil carbon

Soil Quality

Environmental Quality

10.4141/s04-087

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Citations (47)

Modelling SOC response to land use change and management practices in sugarcane cultivation in South-Central Brazil

Plant and Soil (2016)

Adriana M. Silva‐Olaya Carlos Eduardo Pellegrino Cerri Stephen Williams Carlos Eduardo Pellegrino Cerri Christian A. Davies

Soil carbon

Stock (firearms)

10.1007/s11104-016-3030-y

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Citations (38)

Biofuel production and soil GHG emissions after land‐use change to switchgrass and giant reed in the U.S. Southeast

Food and Energy Security (2017)

Andrea Nocentini John Field Andrea Monti Keith Paustian

Abstract United States mandated the production of biofuel from lignocellulosic feedstocks. Nonetheless, the cultivation of these feedstocks may produce debates, as agricultural land is scarce and it is primarily needed for food production and grazing. Thus, it is thought that biofuel production should be placed on land with low economical value (i.e., marginal land). At the same time, depending on what land is considered marginal and therefore available for lignocellulosic crops, different greenhouse gas impacts will be generated upon land use change. Here, we attempted to estimate the biomass production and soil greenhouse gas emissions of the cultivation of switchgrass ( Panicum virgatum L.) and giant reed ( Arundo donax L.) in the U.S. Southeast, when converting distinct former land uses. We employed the NLCD and the SSURGO databases to select grasslands, shrublands, and marginal croplands and to then allocate switchgrass and giant reed on this land basing on biophysical parameters included in the Land Capability Classification. After calibration, the DAYCENT model was employed to simulate 15‐year cultivation of both crops in the U.S. Southeast. Florida, Georgia, Mississippi and South Carolina were the States with the highest availability of land, thus the highest potential for biofuel production. Among scenarios, the one converting poor grazing land and marginal croplands yielded the greatest benefits: converting 3.6 Mha of land, 44 Mt/year of dry biomass could be produced, storing 0.05 Mt/year of soil organic C at the same time. In this scenario, considering 80‐km supply areas, nineteen biorefineries could deliver 7,124 Ml/year of advanced ethanol across the region. When minimizing giant reed invasion risks through reallocating giant reed outside flooded areas, 4,695 Ml/year of advanced ethanol could be still delivered from thirteen biorefineries, but the scenario turned in a biogenic greenhouse gas source (3.2 Mt CO 2 eq/year).

Panicum virgatum

Marginal land

Arundo donax

Agricultural land

Soil carbon

10.1002/fes3.125

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Citations (16)