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Kansas

Welcome to the Midcontinent Region! Our region includes 18 Science Centers in 11 States from the Great Lakes to the Dakotas. Our streamgage network is used to monitor and assess water resources across the region. Other research focuses on fisheries and aquatic ecosystems, midcontinental plant/animal species, invasive species, wildlife disease, and energy and mining.

Publications

Induced earthquakes are generally not tidally triggered in Oklahoma and Kansas Induced earthquakes are generally not tidally triggered in Oklahoma and Kansas

Human-induced earthquakes occur along critically stressed faults as injected wastewater simultaneously heightens fluid pressure and pushes faults to failure. We investigate the possibility that small stresses imposed by Earth tides could trigger earthquakes in the induced seismicity region of Oklahoma and Kansas from 2011 to 2018. We decluster a catalog consisting of ∼110,000 earthquakes...
Authors
Margaret Glasgow, Justin Rubinstein, Jeanne Hardebeck

Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions

Cover crops play a critical role in providing agroecological services such as improving soil health, reducing erosion and nitrogen loss, and suppressing weeds, which are closely tied to their performance such as accumulated biomass. This study evaluated the Active Canopy Sensor (ACS) -214, an active proximal sensing device equipped with its own light-emitting red and near-infrared...
Authors
Jyoti Jennewein, Brian W. Davis, S. Seehaver-Eagan, J. Nicolette, J. Pittman, W. Hively, Avi Goldsmith, C. Hidalgo, C. Reberg-Horton, S.B. Mirsky

A framework tool that applies weight-of-evidence integration to the analysis of existing datasets to guide freshwater conservation A framework tool that applies weight-of-evidence integration to the analysis of existing datasets to guide freshwater conservation

The overarching issue we address here is how to extract clear and actionable ecological and management insights from real-world field data that often do not satisfy traditional statistical assumptions. Toward this goal, we developed a general 12+6 step adaptive management framework tool. We applied this framework tool to existing biodiversity monitoring data to create a proof-of-concept...
Authors
Olivia Rode, Martha Mather, Devon Oliver, Katherine Nelson, Victoria Reed, Trisha Moore, Suyash Pratap
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