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Thayne Montague

Researcher at Texas Tech University

Publications -  29
Citations -  511

Thayne Montague is an academic researcher from Texas Tech University. The author has contributed to research in topics: Mulch & Stomatal conductance. The author has an hindex of 11, co-authored 27 publications receiving 450 citations. Previous affiliations of Thayne Montague include Utah State University.

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Urban tree transpiration over turf and asphalt surfaces

TL;DR: In this article, the authors used a two-layer canopy model to study transpiration of tree species as affected by energy-balance properties of a vegetated and paved surface, and found that tree transpiration, stomatal conductance, leaf temperature (%), and several microclimate variables, were measured over turf and an asphalt surface.
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Energy balance of six common landscape surfaces and the influence of surface properties on gas exchange of four containerized tree species

TL;DR: In this paper, the authors investigated energy balance properties of six urban surfaces: asphalt, gravel rock mulch, lava rock, concrete, pine bark mulch and turf, and found that the soil heat flux was greatest under asphalt and concrete and least under pine bark and lava rock mulches.
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Groundwater Capture Using Hybrid Poplar Trees: Evaluation of a System in Ogden, Utah

TL;DR: A phytoremediation system was installed in 1996 in Ogden, Utah, with the objective of controlling groundwater containing petroleum hydrocarbons as mentioned in this paper, where hybrid poplar trees were deeply and densely planted in rows oriented perpendicular to the direction of groundwater flow, and the stand was never irrigated.
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Water Loss Estimates for Five Recently Transplanted Landscape Tree Species in a Semi-Arid Climate

TL;DR: Water loss of five recently transplanted, balled and burlaped (B&B) tree species was investigated using below-ground, electronic weighing lysimeters and regression analysis indicated total daily ETO had limited influence on total daily tree water loss.
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Simplified Landscape Irrigation Demand Estimation: SLIDE Rules

TL;DR: In this article, simplified landscape irrigation demand estimation (SLIDE) rules distill scientifically credible assumptions about urban landscape biological and physical complexity into guidelines for estimating water demand that are conceptually accessible and operationally useful.