A5004718358- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Soil Carbon and Nitrogen Dynamics
- Hydrology and Drought Analysis
- Plant Ecology and Soil Science
- Remote Sensing and Land Use
- Environmental and Agricultural Sciences
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Microbial Community Ecology and Physiology
- Remote Sensing and LiDAR Applications
- Climate change impacts on agriculture
- Tree-ring climate responses
- Meteorological Phenomena and Simulations
- Forest ecology and management
- Botany and Plant Ecology Studies
- Ruminant Nutrition and Digestive Physiology
- Rangeland Management and Livestock Ecology
- Agroforestry and silvopastoral systems
- Land Use and Ecosystem Services
- Leaf Properties and Growth Measurement
- Urban Heat Island Mitigation
- Bioenergy crop production and management
University of Oklahoma
2014-2023
National Sedimentation Laboratory
2022
Agricultural Research Service
2020-2021
Kyoto University
2015
Extensive forest changes have occurred in monsoon Asia, substantially affecting climate, carbon cycle and biodiversity. Accurate cover maps at fine spatial resolutions are required to qualify quantify these effects. In this study, an algorithm was developed map forests 2010, with the use of structure biomass information from Advanced Land Observation System (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) mosaic dataset phenological MODerate Resolution Imaging Spectroradiometer...
Intensification, the process of intensifying land management to enhance agricultural goods, results in "intensive" pastures that are planted with productive grasses and fertilized. These intensive provide essential ecosystem services, including forage production for livestock. Understanding synergies tradeoffs pasture intensification on delivery services across climatic regions is crucial shape policies incentives better natural resources. Here, we investigated how grassland affects key...
Abstract Woody plant encroachment ( WPE ) into grasslands has been occurring globally and may be accelerated by climate change in the future. This land cover is expected to alter carbon water cycles, but it remains uncertain how what extent cycles with under current climate. In this study, we examined difference of vegetation indices VI s), evapotranspiration ET ), gross primary production GPP solar‐induced chlorophyll fluorescence SIF during 2000–2010 between juniper‐encroached grasslands....
Abstract The effect of air temperature on photosynthesis is important for the terrestrial carbon cycle. optimum one major parameters in data-driven and process-based models that estimate gross primary production (GPP) vegetation under a changing climate. To date, most use biome-specific ( <?CDATA ${T}_{{\rm{o}}{\rm{p}}{\rm{t}}-{\rm{b}}}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>T</mml:mi> </mml:mrow> <mml:mi...
Abstract Soil microbes drive decomposition of soil organic matter (SOM) and regulate carbon (C) dynamics. Process‐based models have been developed to quantify changes in (SOC) dioxide (CO 2 ) fluxes agricultural ecosystems. However, microbial processes related SOM not been, or are inadequately, represented these models, limiting predictions SOC responses activities. In this study, we a microbial‐mediated model based on widely used biogeochemical model, DeNitrification‐DeComposition (DNDC),...
Grasslands in the Southern Great Plains of United States have major ecological and economic importance, with strong climate water cycle connections. The historic native prairie grassland has been managed differently for enhancing productivity, while consequently altering vapor fluxes. However, little is known about impacts different management activities on evapotranspiration (ET) at spatio-temporal scales. In this study, we quantified compared ET between co-located introduced pasture (MP)...
Abstract Plant density and canopy cover are key agronomic traits for cotton ( Gossypium hirsutum L.) sorghum [ Sorghum bicolor (L.) Moench] phenotypic evaluation. The objective of this study was to evaluate utility broadband red–green–blue (RGB) narrowband green, red, red‐edge, near‐infrared spectral data taken by an unmanned aerial vehicle (UAV), RGB a digital single‐lens reflex camera assessing the stands. Support Vector Machine used analyze UAV images, whereas ImageJ images. Fifteen...