Amount, distance-dependent and structural effects of forest patches on bees in agricultural landscapes (open access)

Amount, distance-dependent and structural effects of forest patches on bees in agricultural landscapes

This article is a review examining the effects of forest patches on bees and pollination services to determine how to increase pollination service in agricultural landscapes.
Date: January 21, 2022
Creator: Rahimi, Ehsan; Barghjelveh, Shahindokht & Dong, Pinliang
System: The UNT Digital Library
A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation (open access)

A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation

This article develops and tests a constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records. It presents a unique method that can be used to explore historic (e.g., archeological questions) or future (e.g., climate change) daily weather conditions based upon specified annual values.
Date: January 21, 2021
Creator: Pan, Feifei; Nagaoka, Lisa; Wolverton, Steven J.; Atkinson, Samuel F.; Kohler, Timothy A. & O'Neill, Marty
System: The UNT Digital Library
A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes (open access)

A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes

Article describes study which develops a static geospatial soil moisture model, the Soil Moisture Proxy Model, which uses soil and topographic variables to estimate soil moisture potential across a watershed in order to better understand the quality of farmland in terms of soil moisture.
Date: August 21, 2019
Creator: Gillreath-Brown, Andrew; Nagaoka, Lisa & Wolverton, Steven J.
System: The UNT Digital Library
Systematic Comparison of Power Corridor Classification Methods from ALS Point Clouds (open access)

Systematic Comparison of Power Corridor Classification Methods from ALS Point Clouds

Study examines factors that affect power corridor classification using LiDAR (light detection and ranging) point clouds, including the class distribution, feature selection, classifier type and neighborhood radius for classification feature extraction.
Date: August 21, 2019
Creator: Peng, Shuwen; Xi, Xiaohuan; Wang, Cheng; Dong, Pinliang; Wang, Pu & Nie, Sheng
System: The UNT Digital Library