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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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Effects of moso bamboo encroachment into native, broad-leaved forests on soil carbon and nitrogen pools.

Shangbin Bai, +7 more
- 16 Aug 2016 - 
TL;DR: Bamboo encroachment into evergreen broadleaved forests seems likely to lead to net CO2 emissions to the atmosphere as ecosystem C stocks decline, and changes in soil C and N occurred mainly in the topsoil.
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Molecular composition of soil organic matter with land-use change along a bi-continental mean annual temperature gradient

Oliva Pisani, +4 more
- 15 Dec 2016 - 
TL;DR: Overall, this study highlights that the implementation of different agricultural management practices enhances the degradation of recalcitrant SOM compounds that may become a source of atmospheric CO2 with increasing land-use and climate change.
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Differential responses of soil organic carbon fractions to warming: Results from an analysis with data assimilation

Dejun Li, +9 more
- 01 Dec 2013 - 
TL;DR: In this article, a three-pool C-cycling model was optimally fitted with previously-published data from a 588-day long soil incubation experiment conducted at two temperatures (25 and 35°C) for 12 soils collected from six sites arrayed across a mean annual temperature gradient from 2.0 to 25.6°C.
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Essential outcomes for COP26

Pete Smith, +24 more
- 25 Oct 2021 - 
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Regionally differentiated estimates of cropland N2O emissions reduce uncertainty in global calculations

Aaron B. Berdanier, +2 more
- 01 Mar 2012 - 
TL;DR: In this article, the authors use Bayesian inversion to leverage information from recent national-level N2O emission inventories and reduce uncertainty by up to 65% for estimates of regional and global direct cropland emissions.