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Courtland Kelly

Researcher at Colorado State University

Publications -  12
Citations -  566

Courtland Kelly is an academic researcher from Colorado State University. The author has contributed to research in topics: Soil water & Soil health. The author has an hindex of 6, co-authored 8 publications receiving 302 citations. Previous affiliations of Courtland Kelly include Harvard University.

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Journal ArticleDOI

Global distribution of earthworm diversity

Helen Phillips, +145 more
- 25 Oct 2019 - 
TL;DR: It was found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms, which suggest that climate change may have serious implications for earthworm communities and for the functions they provide.
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Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species’ phenological cueing mechanisms

TL;DR: The findings support the use of herbarium records for understanding plant phenological responses to changes in temperature, and establish a new use ofHerbarium collections: inferring primary phenological cueing mechanisms of individual species.
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Tillage and residue management drive rapid changes in soil macrofauna communities and soil properties in a semiarid cropping system of Eastern Colorado

TL;DR: In this paper, the authors examined soil macrofauna communities and a suite of soil chemical and physical properties in a recently established experiment (2.5 years old) in Akron, Colorado.
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Assessing the sensitivity and repeatability of permanganate oxidizable carbon as a soil health metric: An interlab comparison across soils

TL;DR: In this paper, the effects of sieve size and soil mass of analysis on POXC results were quantified using replicated measurements across 12 labs in the US and the EU (n ǫ = 7951 samples).
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Soil macroinvertebrate communities: A world‐wide assessment

TL;DR: In this article , a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger's method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macro fauna data attributable to each of the environmental factors.