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
Object Type: Article
System: The UNT Digital Library
A review of diversity of bees, the attractiveness of host plants and the effects of landscape variables on bees in urban gardens (open access)

A review of diversity of bees, the attractiveness of host plants and the effects of landscape variables on bees in urban gardens

Article exploring the ecology of pollinating bees in urban gardens and farms.
Date: January 16, 2022
Creator: Rahimi, Ehsan; Barghjelveh, Shahindokht & Dong, Pinliang
Object Type: Article
System: The UNT Digital Library
Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process (open access)

Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process

Article presents a study (i) assessing and modeling soil erosion vulnerability based on the Analytic Hierarchy Process (AHP) approach in Hoffenthal and KwaMaye communities within the uThukela Catchment, South Africa; and (ii) identifying the relevant sustainable interventions and remedial strategies to combat soil erosion in the study area.
Date: May 13, 2022
Creator: Ebhuoma, Osadolor; Gebreslasie, Michael; Ngetar, Njoya Silas; Phinzi, Kwanele & Bhattacharjee, Shwarnali
Object Type: Article
System: The UNT Digital Library
Urban Expansion Monitoring Based on the Digital Surface Model—A Case Study of the Beijing–Tianjin–Hebei Plain (open access)

Urban Expansion Monitoring Based on the Digital Surface Model—A Case Study of the Beijing–Tianjin–Hebei Plain

This article presents a study of urban expansion in the Beijing–Tianjin–Hebei plain based on ALOS Global Digital Surface Model “ALOS World 3D-30 m” (AW3D30 DSM), Shuttle Radar Topography Mission (SRTM) DSM, and Landsat 7 ETM+ images. The method proposed in this paper can provide rapid and large-scale statistics to study urban construction expansion in the world.
Date: May 24, 2022
Creator: Wang, Yanping; Dong, Pinliang; Liao, Shunbao; Zhu, Yueqin; Zhang, Da & Yin, Na
Object Type: Article
System: The UNT Digital Library
Multi-Source Irrigation Status and Type Mapping (open access)

Multi-Source Irrigation Status and Type Mapping

Data management plan for the grant, "Multi-Source Irrigation Status and Type Mapping." This grant will quantify the long-term irrigation status and system type changes in the Mississippi Alluvial Valley for an advanced understanding of irrigation-induced water resource changes by integrating multi-source earth observation data, machine learning techniques, artificial intelligence and cloud computing.
Date: 2022-07-01/2025-06-30
Creator: Liang, Lu
Object Type: Text
System: The UNT Digital Library
Collaborative Research: MRA: Particulates in canopy flowpaths: A missing mass flux at the macrosystem scale? (open access)

Collaborative Research: MRA: Particulates in canopy flowpaths: A missing mass flux at the macrosystem scale?

Data management plan for the grant, "Collaborative Research: MRA: Particulates in canopy flowpaths: A missing mass flux at the macrosystem scale?" This research will investigate a vital, but currently uncharacterized, macrosystem biogeochemical function within forest canopies at the very start of the terrestrial hydrologic cycle: particulate concentration, flux, and composition in rainwaters draining from forest canopies. We will address three major objectives: (1) Estimate the net rainfall (TF+ SF) water and particulate mass flux across forest types; (2) Characterize the particulate composition (C:N:P, including C components, like total C, organic C, black C, and microplastic C) of TF and SF; and (3) Identify major drivers of macrosystem variability in net rainfall particulate flux and composition.
Date: 2022-08-01/2027-07-31
Creator: Ponette-González, Alexandra G.
Object Type: Text
System: The UNT Digital Library