This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).

This article evaluates the targeting strategy of a national-level program in Mexico that distributed agricultural support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. The findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. The article also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities.

Data management plan for the grant, "Patterns and Drivers of Intra-Urban Heat and Pollution Island Interactions." Research on the urban heat island (UHI) and urban pollution island (UPI) effects at the neighborhood scale by integrating sensor networks, earth observations, and geospatial analysis. The spatial patterns and intra-annual variability of UHI-UPI interactions and model the urban form drivers controlling UHI-UPI interaction variability will also be examined. These data will be analyzed to determine when and where urban heat islands and urban pollution islands occur, and the risks that their interaction poses to urban residents. These results will support informed decision-making for urban heat and air pollution mitigation.

This article is a short review that explores different perspectives and approaches to the study of bark and what they reveal about the myriad ways bark surfaces influence the quality of sub-canopy precipitation.

This article studies atmospheric nitrogen (N) deposition in urban areas on two native prairie grass species, Schizachyrium scoparium and Nasella leucotricha. Findings indicate that while native prairie grasses may exhibit a positive biomass response to increased N deposition up to ~18 kg ha⁻¹ yr⁻¹, total inorganic N deposition is well above the estimated critical load for herbaceous plant species richness in the tallgrass prairie of the Great Plains ecoregion and thus may negatively affect these plant communities.

This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).

Article estimating the effects of different scenarios of forest fragmentation to find an optimized pattern of forest patches for increasing pollination in an agricultural landscape. The authors use simulated agricultural landscapes and landscape metrics to estimate the relationship between pollination and landscape structure.

Article investigating the impact of climate change on distributional and habitat quality changes of five wild bees in northwestern regions of Iran under two representative concentration pathway scenarios (RCP 4.5 and RCP 8.5). This study uses species distribution models to predict the potential range shift of these species in the year 2070.

Article examining the effects of habitat loss and fragmentation on pollination separately according to the Lonsdorf model. Results show that the effects of habitat loss and fragmentation on pollination are completely different at the landscape and farm levels. This article shows that using the Lonsdorf model could lead to confusing results for the landscape ecologists and farmers who want to reduce the adverse effects of fragmentation on their products by creating new forest patches.

This article presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Results can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.

This article evaluates the effects of orchard development on deep soil water content (SWC) by using a meta-analysis of 162 sampling sites on the loess tableland from 44 peer-reviewed publications. The results showed that the deep SWC in orchards depended on stand age, planting density and annual precipitation.

This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).

Data management plan for the project "Detecting Irrigation System Types for Agricultural Lands Across the Nation."