Influences of Plant Moisture Stress, Solar Radiation, and Air Temperature on Cotton Leaf Temperature<sup>1</sup>

Wiegand, C. L.; Namken, L. N.

doi:10.2134/agronj1966.00021962005800060009x

Cited by 109 publications

(52 citation statements)

References 6 publications

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“…The large diameter changes and temperature differences on the nonirrigated treatment suggest the temperature difference may be an indirect measure of plan t-water status. This is in general agreement with the earlier work of Wiegand and Namken (1966), who showed similar results for cottonleaf temperatures under field conditions.…”

Section: Resultssupporting

confidence: 93%

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Reicosky

Deaton

Parsons

1980

Agricultural Meteorology

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Soil-water stress as it affects the plant-water status and crop production is becoming increasingly important. When soil-water stress is severe, partial closure of the stomates causes a repartitioning of the incident energy, often resulting in increased temperatures. The effect of soil-water stress on air temperatures within a soybean canopy was studied and the increased air temperatures related to decreased evapotranspiration and plantwater stress. One treatment of soybeans was trickle-irrigated when the matric potential at the 15-cm depth was equal to --0.2 bar. Air-temperature profiles were measured in both irrigated and nonirrigated field-grown soybeans, using calibrated thermistors. Evapotranspiration was measured using a portable chamber. Plant-water status was evaluated indirectly through the use of LVDT's (linear variable displacement transducers). The measured stem-diameter changes were related to the air temperature differences in the irrigated and nonirrigated canopies. The data showed as soil-water stress became more severe, canopy air temperatures within nonirrigated soybeans increased above those within the irrigated soybean canopy. The above-canopy minus the within-canopy temperature difference between the irrigated and nonirrigated plots increased during peak radiation with little difference at night. When the plant-wilt symptoms indicated severe stress, evapotranspiration decreased 40--70% when within-canopy air temperatures increased. This increase in the canopy air temperature was related to stem-diameter shrinkage and may be an indirect measure of the plant-water status under field conditions.

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Section: Resultssupporting

confidence: 93%

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Reicosky

Deaton

Parsons

1980

Agricultural Meteorology

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“…Not imposing feasible bounds would have posed a risk for the minimization to wander into physically unrealistic but mathematically sound parameter space (i.e., a set of parameters achieving a very small ε by combining, for example, nonrealistic growth temperatures). The optimal temperature chosen by the optimization algorithm for microbial growth, for example, is 21.6 • C. Considering that during summer days with higher vapor pressure deficit the leaf surface temperature can reach even a 5 • C difference from air temperature (Jackson et al, 1981;Wiegand and Namken, 1966), this would mean that the modeled optimal temperature is quite close to the incubation temperature used in the laboratory (25 • C). It is worth noting that, while a reasonable choice of growth temperature range was made for the overall microbial population, specific microorganisms may have different temperature optima.…”

Section: Discussionmentioning

confidence: 99%

Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

et al. 2017

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Abstract. Microbial aerosols (mainly composed of bacterial and fungal cells) may constitute up to 74 % of the total aerosol volume. These biological aerosols are not only relevant to the dispersion of pathogens, but they also have geochemical implications. Some bacteria and fungi may, in fact, serve as cloud condensation or ice nuclei, potentially affecting cloud formation and precipitation and are active at higher temperatures compared to their inorganic counterparts. Simulations of the impact of microbial aerosols on climate are still hindered by the lack of information regarding their emissions from ground sources. This present work tackles this knowledge gap by (i) applying a rigorous micrometeorological approach to the estimation of microbial net fluxes above a Mediterranean grassland and (ii) developing a deterministic model (the PLAnET model) to estimate these emissions on the basis of a few meteorological parameters that are easy to obtain. The grassland is characterized by an abundance of positive net microbial fluxes and the model proves to be a promising tool capable of capturing the day-to-day variability in microbial fluxes with a relatively small bias and sufficient accuracy. PLAnET is still in its infancy and will benefit from future campaigns extending the available training dataset as well as the inclusion of ever more complex and critical phenomena triggering the emission of microbial aerosol (such as rainfall). The model itself is also adaptable as an emission module for dispersion and chemical transport models, allowing further exploration of the impact of landcover-driven microbial aerosols on the atmosphere and climate.

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“…This is, however, not captured using 30 min-averaged surface temperatures (raw data obtained at a resolution of 5 min). The timing of thermal image capture affects the suitability of derived T rad values to predict the measured flux data, which highlights the need for longer continuous observations to capture near-steady-state canopy temperatures and resulting temperature gradients [77][78][79]. Consequently, especially the relation between T aero,inv and T rad,WE is nonlinear during intermittent clouds (Figure 4).…”

Section: Radiometric Surface Temperatures Versus the Inverted Aerodynmentioning

confidence: 99%

Diurnal Dynamics of Wheat Evapotranspiration Derived from Ground-Based Thermal Imagery

et al. 2014

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Abstract:The latent heat flux, one of the key components of the surface energy balance, can be inferred from remotely sensed thermal infrared data. However, discrepancies between modeled and observed evapotranspiration are large. Thermal cameras might provide a suitable tool for model evaluation under variable atmospheric conditions. Here, we evaluate the results from the Penman-Monteith, surface energy balance and Bowen ratio approaches, which estimate the diurnal course of latent heat fluxes at a ripe winter wheat stand using measured and modeled temperatures. Under overcast conditions, the models perform similarly, and radiometric image temperatures are linearly correlated with the inverted aerodynamic temperature. During clear sky conditions, the temperature of the wheat ear layer could be used to predict daytime turbulent fluxes (root mean squared error and mean absolute error: 20-35 W·m 9776Errors are dependent on the models' ability to simulate diurnal hysteresis effects and are largest during intermittent clouds, due to the discrepancy between the timing of image capture and the time needed for the leaf-air-temperature gradient to adapt to changes in solar radiation. During such periods, we suggest using modeled surface temperatures for temporal upscaling and the validation of image data.

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Influences of Plant Moisture Stress, Solar Radiation, and Air Temperature on Cotton Leaf Temperature¹

Cited by 109 publications

References 6 publications

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

Diurnal Dynamics of Wheat Evapotranspiration Derived from Ground-Based Thermal Imagery

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Influences of Plant Moisture Stress, Solar Radiation, and Air Temperature on Cotton Leaf Temperature1

Cited by 109 publications

References 6 publications

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Canopy air temperatures and evapotranspiration from irrigated and stressed soybeans

Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland

Diurnal Dynamics of Wheat Evapotranspiration Derived from Ground-Based Thermal Imagery

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Influences of Plant Moisture Stress, Solar Radiation, and Air Temperature on Cotton Leaf Temperature¹