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Life Sciences Commons

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Wildland Resources Faculty Publications

Remote sensing

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Full-Text Articles in Life Sciences

Upland Bare Ground And Riparian Vegetative Cover Under Strategic Grazing Management, Continuous Stocking, And Multiyear Rest In New Mexico Mid-Grass Prairie, Rick Danvir, Gregg Simonds, Eric Sant, Eric T. Thacker, Randy Larsen, Tony Svejcar, R. Douglas Ramsey, Frederick D. Provenza, Chad Boyd Feb 2018

Upland Bare Ground And Riparian Vegetative Cover Under Strategic Grazing Management, Continuous Stocking, And Multiyear Rest In New Mexico Mid-Grass Prairie, Rick Danvir, Gregg Simonds, Eric Sant, Eric T. Thacker, Randy Larsen, Tony Svejcar, R. Douglas Ramsey, Frederick D. Provenza, Chad Boyd

Wildland Resources Faculty Publications

On the Ground

• We compared land cover attributes on rangeland pastures with strategically managed ranches (SGM), continuously stocked (CS), and rested pastures.

• SGM pastures had less upland bare ground and more riparian vegetative cover than adjoining CS pastures, and SGM pastures had bare ground cover comparable to pastures rested from grazing for three or more years.

• Differences in riparian cover between management types were greatest in years of near-average precipitation and lower in years of high precipitation or drought.

• Remote sensing technologyprovided a means of quantifying range condition and comparing management effectiveness on large landscapes in …


Forecasting Climate Change Impacts On Plant Populations Over Large Spatial Extents, Andrew T. Tredennick, Melvin Hooten, Cameron L. Aldridge, Collin G. Homer, Andrew R. Kleinhesselink, Peter B. Adler Oct 2016

Forecasting Climate Change Impacts On Plant Populations Over Large Spatial Extents, Andrew T. Tredennick, Melvin Hooten, Cameron L. Aldridge, Collin G. Homer, Andrew R. Kleinhesselink, Peter B. Adler

Wildland Resources Faculty Publications

Plant population models are powerful tools for predicting climate change impacts in one location, but are difficult to apply at landscape scales. We overcome this limitation by taking advantage of two recent advances: remotely sensed, species-specific estimates of plant cover and statistical models developed for spatiotemporal dynamics of animal populations. Using computationally efficient model reparameterizations, we fit a spatiotemporal population model to a 28-year time series of sagebrush (Artemisia spp.) percent cover over a 2.5 × 5 km landscape in southwestern Wyoming while formally accounting for spatial autocorrelation. We include interannual variation in precipitation and temperature as covariates in the …