Catching spores: Linking epidemiology, pathogen biology, and physics to ground-based airborne inoculum monitoring

WF Mahaffee, F Margairaz, L Ulmer, BN Bailey… - Plant …, 2023 - Am Phytopath Society
Monitoring airborne inoculum is gaining interest as a potential means of giving growers an
earlier warning of disease risk in a management unit or region. This information is sought by …

[HTML][HTML] Comparison of sensible and latent heat fluxes from optical-microwave scintillometers and eddy covariance systems with respect to surface energy balance …

C Zheng, S Liu, L Song, Z Xu, J Guo, Y Ma, Q Ju… - Agricultural and Forest …, 2023 - Elsevier
The eddy-covariance (EC) method has been widely used to measure sensible (H) and latent
(LE) heat fluxes, however, it has limited spatial representativeness (hundreds of meters' …

A fast-response, wind angle-sensitive model for predicting mean winds in row-organized canopies

L Ulmer, F Margairaz, BN Bailey, WF Mahaffee… - Agricultural and Forest …, 2023 - Elsevier
Parallel arrays of long, porous, fence-like objects (row-organized canopies) are common in
agricultural and rural settings. Examples include trellised canopies like vineyards, series of …

Turbulent fluxes at kilometer scale determined by optical-microwave scintillometry in a heterogeneous oasis cropland of the Heihe River Basin

F Xu, W Wang, C Huang, J Wang, Z Ren, J Feng… - Agricultural and Forest …, 2023 - Elsevier
Observations of kilometer-scale turbulent fluxes of sensible (H) and latent heat (LE) are
required for the validation of flux estimate algorithms from satellite remote-sensing data and …

A fast-response model of turbulence and passive scalar transport in row-organized canopies

L Ulmer, F Margairaz, WF Mahaffee, R Stoll - Agricultural and Forest …, 2024 - Elsevier
For simulation-intensive studies of aerial crop disease transport such as source term
estimation, fast and accurate physics models are required. In crops planted in rows with …

[引用][C] Influence of climate conditions on net primary production in a kauri forest

L Yi - 2023 - ResearchSpace@ Auckland