- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Forest Management and Policy
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Tree Root and Stability Studies
- Soil Geostatistics and Mapping
- Forest Biomass Utilization and Management
- Bioenergy crop production and management
- Viral Infections and Vectors
- Forest, Soil, and Plant Ecology in China
- Remote Sensing in Agriculture
- Phytochemicals and Antioxidant Activities
- Lignin and Wood Chemistry
- Environmental and Agricultural Sciences
- Land Use and Ecosystem Services
- Fermentation and Sensory Analysis
- Animal Disease Management and Epidemiology
- Wildlife Ecology and Conservation
- Seedling growth and survival studies
University of Georgia
2024-2025
University of Tennessee at Knoxville
2020-2023
Louisiana Department of Wildlife and Fisheries
2023
Virginia Tech
2016-2018
Sustainable management of forest ecosystems requires assessing dynamics and project stand growth yield in order to make strategic decisions. The size–density relationship is one the most important measures quantifying carrying capacity a ecosystem determining appropriate silvicultural In this study, maximum density index (SDImax) was estimated for three common pine species seven different ecological regions across Türkiye. Observations from 14,413 sample plots, including Calabrian (Pinus...
Forest variables measurement is indispensable to supervising the dynamic of forest carbon storage. As commonly quantified variables, canopy cover (CC), diameter at breast height (DBH), and tree (TH) were predicted objects in our study. Recently, remote sensing technology, with high efficiency wide temporal spatial coverage, has been extensively used practice. However, integrating open access satellite resources Sentinel-1 (S1), Sentinel-2 (S2), Landsat 8 (L8) quantify CC, DBH, TH not...
Abstract This study aims to evaluate the robustness of parametric and nonparametric procedures using alternative definitions validation data for loblolly pine. Specifically, four division strategies were implemented: random selection one-third trees in set, smallest by diameter at breast height (DBH), middle third DBH, largest DBH. Results indicate that tree taper was predicted reasonably well both when smallest, medium-sized, or randomly selected withheld validation. However, validation,...
Abstract Accurately quantifying stem taper is essential to predict diameter at any given height along the and estimate tree volume for various sections of stem. With increased computing power, semi- nonparamatric methods have been proposed as alternative approaches modelling taper. The main objective this study was assess accuracy predicted four pine hardwood species by nonparametric models. Specifically, generalized additive models (GAM), random forests (RF) regression-enhanced (RERF) were...
Height-diameter relationship models, denoted as H-D have important applications in sustainable forest management which include studying the vertical structure of a stand, understanding habitat heterogeneity for wildlife niches, analyzing growth rate pattern making decisions regarding silvicultural treatments. Compared to monocultures, characterizing allometric relationships uneven-aged, mixed-species forests, especially tropical is more challenging and has historically received less...
Survival analysis is composed of a group analytical approaches that can be used to predict the occurrence harvest activities, which provides insightful information about dynamics natural resources utilization in region. Recently, random survival forest (RSF) has been proposed capture complex relationships among variables. The main objective this study was employ RSF algorithm examine temporal evolution tree harvest, accounting for stand and environmental Specifically, predictability model...
Water-soluble lignin-carbohydrate complex (LCC) rich in polysaccharides exhibits benign vitro antioxidant activities and distinguishes high biocompatibility from lignin-rich LCC lignin. However, the activity of water-soluble LCCs remains to be improved its structure-antioxidant relationship is still uncertain. Herein, structurally diversified were isolated under different ball-milling pretreatment durations (4, 6, 8 h), extraction pathways (homogeneous heterogeneous), isolation routines...
Heartwood, sapwood, and bark constitute the main components of tree stem. The stem is component plays an important role in supporting transporting nutrients water. Therefore, quantifying profiles heartwood, fundamental to understanding different A seemingly unrelated mixed-effect model system was developed based on 179 destructively sampled trees for 31 permanent sample plots Korean larch plantation Northeast China. heartwood radius sapwood width were estimated calibrated only by observed...
Point sampling, which does not require measuring plot area, is an efficient sampling approach for forest inventory. However, in order to estimate stand volume and tables, it necessary take tree measurements, the most time-consuming labour-intensive part of field work. In this study, we compared three methods selecting measurement trees, including Big basal-area factor (BAF), every on fourth point, randomly two trees point. Total tables were estimated nine 37.63-ha simulated loblolly pine...
Comprehensive disease surveillance has not been conducted in elk (Cervus canadensis) Tennessee, US, since their reintroduction to the state 20 yr ago. We identified causes of death, estimated annual survival, and pathogens concern at North Cumberland Wildlife Management Area (NCWMA), US. In 2019 2020, we captured 29 (21 females, eight males) using chemical immobilization fitted individuals with GPS collars mortality sensors. Elk that died between February 2022 were necropsied identify death;...
Abstract Accurately assessing forest structure and productivity is critical to making timely management decisions monitoring plant communities. This study aims evaluate the prediction accuracy of site-level stand biomass tables from diameter distribution models. The efficacy single Weibull function two finite mixture models was compared for six species groups on three mixed-hardwood sites in eastern Tennessee, USA. To model performance, types stand/biomass were generated. first type...
Clustering data into similar characteristic groups is a commonly-used strategy in model development. However, the impact of grouping strategies on modeling stem taper has not been well quantified. The objective this study was to compare prediction accuracy different strategies. Specifically, population-level compared models fitted with grouped based taxonomic rank, tree form and size. A total 3678 trees were used analyses, which included six common species upland hardwood forests...
Accurately quantifying the size–density relationships is important to predict stand development, estimate carrying capacity and prescribe silvicultural treatments. Parametric methods, such as segmented regression, were proposed complicated trajectory of relationships. However, applying nonparametric methods assess development has not been explicitly examined. In this study, we compared parametric for estimating Japanese cedar plantations in Taiwan. Specifically, efficacy two regression...