A5019939070- Soil Carbon and Nitrogen Dynamics
- Remote Sensing in Agriculture
- Pesticide and Herbicide Environmental Studies
- Plant Water Relations and Carbon Dynamics
- Osteoarthritis Treatment and Mechanisms
- Ecology and Vegetation Dynamics Studies
- Rangeland and Wildlife Management
- Peanut Plant Research Studies
- Atmospheric and Environmental Gas Dynamics
- Plant Surface Properties and Treatments
- Agronomic Practices and Intercropping Systems
- Plant and animal studies
- Plant Disease Management Techniques
- Pesticide Residue Analysis and Safety
- CO2 Sequestration and Geologic Interactions
- Nitrogen and Sulfur Effects on Brassica
- Pasture and Agricultural Systems
- Soil and Water Nutrient Dynamics
- Irrigation Practices and Water Management
- Analytical chemistry methods development
- Smart Agriculture and AI
- ICT Impact and Policies
- Bioenergy crop production and management
- Spectroscopy and Chemometric Analyses
- Coffee research and impacts
University of Florida
2014-2024
Southwest Florida Research
2016
U.S. Horticultural Research Laboratory
2016
Indian River State College
2004-2010
Defence Research and Development Canada
2008
Tennessee Technological University
2008
University of Wales
2002-2004
Abstract Despite the large contribution of rangeland and pasture to global soil organic carbon ( SOC ) stocks, there is considerable uncertainty about impact herbivore grazing on , especially for understudied subtropical lands. It well known that root system inputs are source most grassland but partitioning allocation tissue production compared fine exudation unclear. Given different forms C have differing implications synthesis decomposition, this represents a significant gap in knowledge....
Abstract Among options for atmospheric CO 2 removal, sequestering soil organic carbon (SOC) via improved grazing management is a rare opportunity because it scalable across millions of globally grazed acres, low cost, and has high technical potential. Decades scientific research on SOC failed to form cohesive understanding how affects stocks their distribution between particulate (POM) mineral‐associated matter (MAOM)—characterized by different formation stabilization pathways—across...
Abstract Objective To determine if n‐3 polyunsaturated fatty acid (PUFA) supplementation (versus treatment with n‐6 or other supplements) affects the metabolism of osteoarthritic (OA) cartilage. Methods The metabolic profile human OA cartilage was determined at time harvest and after 24‐hour exposure to PUFAs classes acids, followed by explant culture for 4 days in presence absence interleukin‐1 (IL‐1). Parameters measured were glycosaminoglycan release, aggrecanase matrix metalloproteinase...
Anaerobic soil disinfestation (ASD) is considered a promising sustainable alternative to chemical fumigation (CSF), and has been shown be effective against soilborne diseases, plant-parasitic nematodes, weeds in several crop production systems. Nevertheless, limited information available on the effects of ASD yield quality. Therefore, field study was conducted fresh-market tomato ( Solanum lycopersicum L.) two different locations Florida (Immokalee Citra), evaluate compare CSF performances...
Predicting soil water status remotely is appealing due to its low cost and large-scale application. During drought, plants can disconnect from the soil, causing disequilibrium between plant potentials at pre-dawn. The impact of this on drought response recovery not well understood, potentially complicating predictions spectral reflectance. This study aimed quantify drought-induced disequilibrium, evaluate responses recovery, determine potential for predicting Two species were tested: sweet...
Soil carbon sequestration in agroecosystems could play a key role climate change mitigation but will require accurate predictions of soil organic (SOC) stocks over spatial scales relevant to land management. Spatial variation underlying drivers SOC, such as plant productivity and mineralogy, complicates these predictions. Recent advances the availability remotely sensed data make it practical generate multidecadal time series vegetation indices with high resolution coverage. However, utility...
Abstract Forecasting rates of forest succession at landscape scales will aid global efforts to restore tree cover millions hectares degraded land. While optical satellite remote sensing can detect regional land change, quantifying structural change is challenging. We developed a state‐space modeling framework that applies Landsat data estimate variability in natural regeneration between sites tropical landscape. Our models work by disentangling measurement error Landsat‐derived spectral...
Abstract Anthropogenic climate change is predicted to cause shifts in temperature and precipitation patterns that will be detrimental for global agriculture. Developing comprehensive strategies building resilient agroecosystems critical maintaining future crop production. Arabica coffee (Coffea arabica) highly sensitive the quantity timing of precipitation, so alterations are under likely a major challenge agroecosystems. We assessed cultivar selection as potential component more by...
Abstract Brassica carinata (carinata), a non‐food oilseed feedstock mainly used for biofuel, is relatively new alternative winter crop in the southeastern (SE) United States (US). However, there are limited N rate and application timing data available at regional scale. These needed to expand production SE US. An study was conducted during winter–spring growing seasons 2017–2018 2018–2019 Florida, US, three locations Georgia, quantify effects of (0, 45, 90, 134, 179 kg ha −1 ) on nutrient...
Both the vastness of pasturelands and value they contain—e.g., food security, ecosystem services—have resulted in increased scientific industry efforts to remotely monitor them via satellite imagery machine learning (ML). However, transferability these models is uncertain, as modelers commonly train test on site-specific or homogenized—i.e., randomly partitioned—datasets choose complex ML algorithms with potential overfit a limited dataset. In this study, we evaluated accuracy remote sensing...
Invasive plant fecundity underlies propagule pressure and ultimately range expansion. Predicting across large spatial scales, from regions to landscapes, is critical for understanding invasion dynamics optimizing management. However, accurately predict other demographic processes, improved models that scale individual responses abiotic drivers heterogeneous environments are needed. Here we combine two experimental data sets of a widespread problematic invasive grass over scales. First,...
Enrichment of surface water with nitrate-nitrogen (NO 3 -N) is a significant problem throughout the world. In support developing method for removing NO -N from using denitrification, this project characterized runoff events at two nurseries in southern Florida to provide information needed designing capacity. Specifically, estimates rates and volumes, concentrations loadings were profiled during intensively sampled fertigation foliage plant nursery bedding nursery. Discharge volumes varied...
While many clonal plants are highly successful invaders, the contribution of integration (i.e. translocation resources among ramets) to invasion is often unknown. We used model simulations ask if would facilitate photosynthate translocation, performance daughter ramets might be enhanced by integration, and shaded benefited relatively more from transferred photosynthate. Then, test augmented emerging for a globally invasive grass ( Imperata cylindrica ), we combined 13 CO 2 pulse‐chase...
Abstract. Leading an effective response to the accelerating crisis of anthropogenic climate change will require improved understanding global carbon cycling. A critical source uncertainty in Earth system models (ESMs) is role microbes mediating both formation and decomposition soil organic matter, hence determining patterns CO2 efflux. Traditionally, ESMs model turnover as a first-order process impacted primarily by abiotic factors, whereas contemporary biogeochemical often explicitly...
Hyper-spectral imaging has recently gained increasing attention for use in different applications, including agricultural investigation, ground tracking, remote sensing and many other. However, the high cost, large physical size complicated operation process stop hyperspectral cameras from being employed various applications research fields. In this paper, we introduce a cost-efficient, compact easy to active illumination camera that may benefit applications. We developed fully functional...