A5063796806- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Plant responses to elevated CO2
- Atmospheric and Environmental Gas Dynamics
- Plant and animal studies
- Climate change and permafrost
- Forest ecology and management
- Leaf Properties and Growth Measurement
- Fern and Epiphyte Biology
- Geology and Paleoclimatology Research
- Plant and soil sciences
- Rangeland and Wildlife Management
- Climate variability and models
- Fire effects on ecosystems
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Botany and Geology in Latin America and Caribbean
- Tree-ring climate responses
- Ecology and Vegetation Dynamics Studies
- Spectroscopy and Chemometric Analyses
- Environmental and biological studies
- Insect Pheromone Research and Control
- Sustainability and Ecological Systems Analysis
- Solar Radiation and Photovoltaics
- Botany, Ecology, and Taxonomy Studies
Brookhaven National Laboratory
2019-2024
Stony Brook University
2021-2023
Franklin & Marshall College
2015-2022
Abstract Partial least squares regression (PLSR) modelling is a statistical technique for correlating datasets, and involves the fitting of linear between two matrices. One application PLSR enables leaf traits to be estimated from hyperspectral optical reflectance data, facilitating rapid, high-throughput, non-destructive plant phenotyping. This interest importance in wide range contexts including crop breeding ecosystem monitoring. The lack consensus literature on how perform means that...
Tropical montane cloud forests (TMCFs) inhabit regions rich in biodiversity that play an important role the local and regional water cycle. Canopy plants such as epiphytes hemiepiphytes are component of TMCF therefore a significant carbon, nutrient, cycles. With only partial or no access to resources on ground, canopy may be vulnerable changes climate increase temperatures decrease atmospheric humidity precipitation inputs. Despite their importance TMCF, little is known about variation...
Abstract Drought is the most important limitation on crop yield. Understanding and detecting drought stress in crops vital for improving water use efficiency through effective breeding management. Leaf reflectance spectroscopy offers a rapid, non-destructive alternative to traditional techniques measuring plant traits involved response. We measured six glasshouse-grown agronomic species using physiological, biochemical, spectral data. In contrast physiological traits, leaf metabolite...
Leaf-level gas exchange data support the mechanistic understanding of plant fluxes carbon and water. These inform our ecosystem function, are an important constraint on parameterization terrestrial biosphere models, necessary to understand response plants global environmental change, integral efforts improve crop production. Collection these using analyzers can be both technically challenging time consuming, individual studies generally focus a small range species, restricted periods, or...
Stomata play a central role in surface-atmosphere exchange by controlling the flux of water and CO2 between leaf atmosphere. Representation stomatal conductance (gsw ) is therefore an essential component models that seek to simulate plants ecosystems. For given environmental conditions at surface (CO2 concentration vapor pressure deficit or relative humidity), typically assume linear relationship gsw photosynthetic assimilation (A). However, measurement leaf-level response curves changes A...
Summary Terrestrial biosphere models (TBMs) include the representation of vertical gradients in leaf traits associated with modeling photosynthesis, respiration, and stomatal conductance. However, model assumptions these have not been tested complex tropical forest canopies. We compared TBM key measurements made a Panama then quantified impact observed on simulated canopy‐scale CO 2 water fluxes. Comparison between trait showed divergence that impacted simulations vapor exchange. Notably,...
Understanding seasonal variation in photosynthesis is important for understanding and modeling plant productivity. Here, we used shotgun sampling to examine physiological, structural spectral leaf traits of upper canopy, sun-exposed leaves Quercus coccinea Münchh (scarlet oak) across the growing season order understand trends, explore mechanisms underpinning physiological change investigate impact extrapolating measurements from a single date whole season. We tested hypothesis that...
Abstract. Accurate assessment of leaf functional traits is crucial for a diverse range applications from crop phenotyping to parameterizing global climate models. Leaf reflectance spectroscopy offers promising avenue advance ecological and robust hyperspectral models predicting photosynthetic capacity associated data has been hindered by limited availability across species environments. Here we introduce the Global Spectra-Trait Initiative (GSTI), collaborative repository paired gas exchange...
PREMISE OF THE STUDY: Tropical Montane Cloud Forests (TMCFs) are important ecosystems to study and preserve because of their high biodiversity critical roles in local regional ecosystem processes. TMCFs may be particularly affected by changes climate the narrow bands microclimate they occupy vulnerability TMCF species projected increases cloud base heights drought. A comprehensive understanding structure function is lacking difficult attain variation topography within across sites. This...
The maximum carboxylation capacity of Rubisco, Vc,max , is an important photosynthetic parameter that key to accurate estimation carbon assimilation. gold-standard technique for determining derive from the initial slope A-Ci curve (the response photosynthesis, A, intercellular CO2 concentration, Ci ). Accurate estimates derived alternative and rapid "one-point" measurement photosynthesis could greatly accelerate data collection model parameterization. We evaluated practical application...
Abstract Predicting tropical tree demography is a key challenge in understanding the future dynamics of forests. Although demographic processes are known to be regulated by leaf trait diversity, only effect inter‐specific variation has been evaluated, and it remains unclear as what degree intra‐specific plasticity across light gradients (hereafter plasticity) regulates demography, how this will further shape long‐term community ecosystem dynamics. By combining situ measurements forest census...
Abstract The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes vegetation composition, structure and function that have important feedbacks to the global climate system. heterogeneous nature of arctic landscapes creates challenges for monitoring improving understanding these ecosystems, as current efforts typically rely ground, airborne or satellite‐based observations are limited space, time pixel resolution. use remote sensing instruments...
Tropical forests are one of the main carbon sinks on Earth, but magnitude CO2 absorbed by tropical vegetation remains uncertain. Terrestrial biosphere models (TBMs) commonly used to estimate forests, their performance is highly sensitive parameterization processes that control leaf-level exchange. Direct measurements leaf respiratory and photosynthetic traits determine fluxes critical, traditional approaches time-consuming. Reflectance spectroscopy can be a viable alternative for estimation...
The representation of stomatal regulation transpiration and CO2 assimilation is key to forecasting terrestrial ecosystem responses global change. Given its importance in determining the relationship between forest productivity climate, accurate mechanistic model conductance (gs ) crucial. We assess possible physiological controls on estimation g1 (stomatal slope, inversely proportional water use efficiency) g0 intercept) parameters, using diurnal gas exchange surveys leaf-level response...
Vegetative transpiration (E) and photosynthetic carbon assimilation (A) are known to be seasonally dynamic, with changes in their ratio determining the marginal water use efficiency (WUE). Despite an understanding that stomata play a mechanistic role regulating WUE, it is still unclear how stomatal nonstomatal processes influence change WUE over course of growing season. As result, limited primary physiological drivers seasonal dynamics canopy remains one largest uncertainties earth system...
Many terrestrial biosphere models depend on an understanding of the relationship between stomatal conductance and photosynthesis. However, unlike measurement photosynthetic parameters, such as maximum carboxylation capacity, where standard methods (e.g., CO2 response or ACi curves) are widely accepted, a consensus method for empirically measuring parameters representing has not yet emerged. Most to environment represent being bounded by lower intercept parameter (g0), linearly scaled based...
Abstract. Stomata play a central role in regulating the exchange of carbon dioxide and water vapor between ecosystems atmosphere. Their function is represented land surface models (LSMs) by conductance models. The Functionally Assembled Terrestrial Ecosystem Simulator (FATES) dynamic vegetation demography model that can simulate both detailed plant demographic physiological dynamics. To evaluate effect stomatal formulation on forest fluxes FATES, we implemented an optimality-based – Medlyn...