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Richard T. Conant
Researcher at Colorado State University
Publications - 130
Citations - 20928
Richard T. Conant is an academic researcher from Colorado State University. The author has contributed to research in topics: Soil carbon & Soil organic matter. The author has an hindex of 52, co-authored 130 publications receiving 17258 citations. Previous affiliations of Richard T. Conant include Queensland University of Technology & University of Pennsylvania.
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Journal ArticleDOI
Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales.
Richard T. Conant,Keith Paustian +1 more
TL;DR: The results suggest that grassland soil C changes can be precisely quantified using current technology at scales ranging from farms to the entire nation.
Land use effects on soil carbon fractions in the southeastern United States. I. Management-intensive versus extensive grazing
TL;DR: In this article, the impacts of management intensive grazing on soil C and N pools were evaluated in four pastures (to 50 cm depth) in Virginia, USA, under managementintensive grazing (MiG) and neighboring pastures.
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Measuring and monitoring soil organic carbon stocks in agricultural lands for climate mitigation
TL;DR: In this paper, the authors review the challenges to documenting changes in organic carbon stocks, how policy decisions influence offset documentation requirements, and the benefit of carbon sequestration in soil organic C (SOC) stocks.
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Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes.
Lorenzo Brilli,Luca Bechini,Marco Bindi,Marco Carozzi,D. Cavalli,Richard T. Conant,Chris Dorich,Luca Doro,Fiona Ehrhardt,Roberta Farina,Roberto Ferrise,Nuala Fitton,Rosa Francaviglia,Peter Grace,Ileana Iocola,Katja Klumpp,Joël Léonard,Raphaël Martin,Raia Silvia Massad,Sylvie Recous,Giovanna Seddaiu,Joanna Sharp,Pete Smith,Ward Smith,Jean-François Soussana,Gianni Bellocchi +25 more
TL;DR: Overall, it emerged that there is a possible impact of ill-defined pedo-climatic conditions in the unsatisfactory performance of the models, followed by limitations in the algorithms simulating the effects of management practices.
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Patterns and trends in nitrogen use and nitrogen recovery efficiency in world agriculture
TL;DR: In this article, the authors created a new global N input database (fertilizer, manure, fixation, deposition, and residues) that enables evaluation of trends in nitrogen use and recovery by country and by crop from the 1960s through 2007.