Stephen M. Ogle

ORCID: 0000-0003-1899-7446
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About
Contact & Profiles
Research Areas
  • Soil Carbon and Nitrogen Dynamics
  • Soil and Water Nutrient Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Peatlands and Wetlands Ecology
  • Bioenergy crop production and management
  • Soil Geostatistics and Mapping
  • Atmospheric chemistry and aerosols
  • Forest Management and Policy
  • Fire effects on ecosystems
  • Agriculture Sustainability and Environmental Impact
  • Climate Change Policy and Economics
  • Environmental Impact and Sustainability
  • Climate change impacts on agriculture
  • Climate variability and models
  • Forest ecology and management
  • Crop Yield and Soil Fertility
  • Biofuel production and bioconversion
  • Water-Energy-Food Nexus Studies
  • Soil Management and Crop Yield
  • Forest Insect Ecology and Management
  • Groundwater and Isotope Geochemistry
  • Remote Sensing in Agriculture
  • Soil and Unsaturated Flow
  • Marine and coastal ecosystems
  • Remote Sensing and LiDAR Applications

Colorado State University
2016-2025

Culture Resource
2019-2022

Oklahoma State University
2018

Agricultural Research Service - Plains Area
2011-2012

National Tsing Hua University
2007

Environmental Protection Agency
2007

University of Wyoming
1998-2004

Emory University
1998

Abstract No‐tillage (NT) management has been promoted as a practice capable of offsetting greenhouse gas (GHG) emissions because its ability to sequester carbon in soils. However, true mitigation is only possible if the overall impact NT adoption reduces net global warming potential (GWP) determined by fluxes three major biogenic GHGs (i.e. CO 2 , N O, and CH 4 ). We compiled all available data soil‐derived GHG emission comparisons between conventional tilled (CT) systems for humid dry...

10.1111/j.1529-8817.2003.00730.x article EN Global Change Biology 2004-01-16

Abstract Adoption of no-till management on croplands has become a controversial approach for storing carbon in soil due to conflicting findings. Yet, is still promoted as practice stabilize the global climate system from additional change anthropogenic greenhouse gas emissions, including 4 per mille initiative through UN Framework Convention Climate Change. We evaluated body literature surrounding this practice, and found that SOC storage can be higher under some types climatic conditions...

10.1038/s41598-019-47861-7 article EN cc-by Scientific Reports 2019-08-12

Stabilizing the global climate within safe bounds will require greenhouse gas (GHG) emissions to reach net zero a few decades. Achieving this is expected removal of CO2 from atmosphere offset some hard-to-eliminate emissions. There is, therefore, clear need for GHG accounting protocols that quantify mitigation impact practices, such as biochar sequestration, have potential be deployed at scale. Here, we developed methodology application mineral soils using simple parameterizations and...

10.1021/acs.est.1c02425 article EN cc-by Environmental Science & Technology 2021-10-12

Abstract Process‐based model analyses are often used to estimate changes in soil organic carbon (SOC), particularly at regional continental scales. However, uncertainties rarely evaluated, and so it is difficult determine how much confidence can be placed the results. Our objective was quantify across multiple scales a process‐based analysis, provide 95% intervals for estimates. Specifically, we Century ecosystem SOC stocks US croplands during 1990s, addressing inputs, structure scaling of...

10.1111/j.1365-2486.2009.01951.x article EN Global Change Biology 2009-04-21

Abstract Uncertainty was quantified for an inventory estimating change in soil organic carbon (SOC) storage resulting from modifications land use and management across US agricultural lands between 1982 1997. This conducted using a modified version of (C) accounting method developed by the Intergovernmental Panel on Climate Change (IPCC). Probability density functions (PDFs) were derived each input to IPCC model, including reference SOC stocks, use/management activity data, factors. C...

10.1046/j.1365-2486.2003.00683.x article EN Global Change Biology 2003-10-17

Abstract I ntergovernmental P anel on C limate hange ( IPCC ) T ier 1 methodologies commonly underpin project‐scale carbon accounting for changes in land use and management are used frameworks L ife ycle A ssessment footprinting of food energy crops. These were intended at large spatial scales. This can introduce error predictions finer There is an urgent need development implementation higher tier that be applied fine scales (e.g. farm/project/plantation) bioenergy crop greenhouse gas (GHG)...

10.1111/j.1365-2486.2012.02689.x article EN Global Change Biology 2012-03-08

Abstract Soil organic matter ( SOM ) supports the Earth's ability to sustain terrestrial ecosystems, provide food and fiber, retains largest pool of actively cycling carbon. Over 75% soil carbon SOC in top meter is directly affected by human land use. Large areas have lost as a result use practices, yet there are compensatory opportunities enhance productivity storage degraded lands through improved management practices. with without intentional also being subjected rapid changes climate,...

10.1111/gcb.13896 article EN cc-by Global Change Biology 2017-10-05

Abstract. Soil organic matter (SOM) dynamics in ecosystem-scale biogeochemical models have traditionally been simulated as immeasurable fluxes between conceptually defined pools. This greatly limits how empirical data can be used to improve model performance and reduce the uncertainty associated with their predictions of carbon (C) cycling. Recent advances our understanding processes that govern SOM formation persistence demand a new mathematical structure built around key mechanisms...

10.5194/bg-16-1225-2019 article EN cc-by Biogeosciences 2019-03-25

Abstract Bioenergy crops are often classified (and subsequently regulated) according to species that have been evaluated as environmentally beneficial or detrimental, but in practice, management decisions rather than per se can determine the overall environmental impact of a bioenergy production system. Here, we review greenhouse gas balance and ‘management swing potential’ seven different cropping systems temperate tropical regions. Prior land use, harvesting techniques, harvest timing,...

10.1111/gcbb.12042 article EN other-oa GCB Bioenergy 2013-01-11

Abstract Agriculture in developing countries has attracted increasing attention international negotiations within the United Nations Framework Convention on Climate Change for both adaptation to climate change and greenhouse gas mitigation. However, there is limited understanding about potential complementarity between management practices that promote mitigation, basis account emission reductions this sector. The good news global research community could provide support needed address these...

10.1111/gcb.12361 article EN Global Change Biology 2013-08-22

Abstract. For decades, predominant soil biogeochemical models have used conceptual organic matter (SOM) pools and only simulated them to a shallow depth in soil. Efforts overcome these limitations prompted the development of new generation SOM models, including MEMS 1.0, which represents measurable biophysical fractions, over entire root zone, embodies recent understanding processes that govern dynamics. Here we present result continued model, version 2.0. 2.0 is full ecosystem model with...

10.5194/bg-18-3147-2021 article EN cc-by Biogeosciences 2021-05-26

Emissions of nitrous oxide (N 2 O), a potent greenhouse gas, tend to be underestimated by standard methods quantifi cation provided the Intergovernmental Panel on Climate Change (IPCC) [ IPCC , 2006], recent research suggests. Better quantification agricultural N O emissions improves gas inventories, allows for better evaluation environmental impacts different cropping systems, and increases understanding nitrogen (N) cycle in general. Proper is particularly important context calculating net...

10.1029/2008eo510001 article EN Eos 2008-12-16

A Monte Carlo analysis was combined with an empirically based approach to quantify uncertainties in soil nitrous oxide (N 2 O) emissions from U.S. croplands estimated the DAYCENT simulation model. Only a subset of simulated analysis, which used infer across larger spatiotemporal domain. Specifically, one representing dominant weather, type, and N inputs performed for each major commodity crop 3000 counties occurring within conterminous United States. We randomly selected 300 drew model...

10.1029/2009gb003544 article EN Global Biogeochemical Cycles 2010-03-01
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