Results 121 to 130 of about 25,265 (258)

Presence and abundance of airborne Botryosphaeriaceae conidia are governed by temperature and season in the Okanagan Valley, Canada

Pest Management Science, EarlyView.
Presence and abundance of Botryosphaeria dieback inoculum were determined using spore trapping and droplet digital polymerase chain reaction in British Columbia, Canada. Highest inoculum was recorded in spring (April–June) and again in summer (July–September). These results suggest early pruning in December–January can mitigate pruning wound infections.
Isidora Silva‐Valderrama, Jane Theilmann, Melanie Walker, Julie Boulé, Daniel T O'Gorman, José R Úrbez‐Torres   +5 more
wiley   +1 more source

Modelling count data with overdispersion and spatial effects

, 2008
In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We account for unobserved heterogeneity in the data in two ways. On the one hand, we consider more flexible models than a common Poisson model
Claudia Czado, Susanne Gschlößl
core   +1 more source

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi, Samantha Hall, Maria Hernandez, Anil Mantri, Daniel Kliebenstein, Christian Nansen   +5 more
wiley   +1 more source

Evaluation of a stochastically perturbed parametrisations scheme for sea ice in sub‐seasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth, Steffen Tietsche, Kristian Strommen, Michael Mayer, Andrea Storto, Christopher D. Roberts, Sarah‐Jane Lock, Sarah Keeley   +7 more
wiley   +1 more source

Calibration of medium‐range temperature ensemble forecasts dependent on the time horizon: An assessment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical weather prediction output necessitates calibration, as weather model systems are unable to replicate the correct statistics of observations. Such processing is especially important when predicting extreme weather. Calibration methods function by learning from prediction inadequacies during a training phase and by exploiting this information ...
Dmitrij Japs, Oleksiy Boyko, Paolo Reggiani, Ezio Todini   +3 more
wiley   +1 more source

Statistical Monitoring of Multivariate Count Data From Real‐Time Particle Counters

Quality and Reliability Engineering International, EarlyView.
ABSTRACT In the pharmaceutical industry, production environments are monitored for bacterial contamination. Particle counters are increasingly investigated for real‐time monitoring of viable microorganisms using count data for different particle size intervals.
Mona Emampour, Pieta C. Boon, Edwin R. van den Heuvel   +2 more
wiley   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

ON BASELINE CONDITIONS FOR ZERO-INFLATED LONGITUDINAL COUNT DATA [PDF]

We describe a mixed-effects hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a ...
Valentina Raponi, Antonello Maruotti
core  

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

On the use of corrections for overdispersion

, 1999
In studying fluctuations in the size of a blackgrouse (Tetrao tetrix) population, an autoregressive model using climatic conditions appears to follow the changes quite well.
LINDSEY, James
core