Daily gridded weather for pesticide exposure modeling

Fry, M. M.; Rothman, Gabriel S.; Young, Dirk F.; Thurman, Nelson

doi:10.1016/j.envsoft.2016.04.008

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…We used National Oceanic and Atmospheric Administration (NOAA) weather data gridded at 0.25° × 0.25° resolution and centered at 35.875° N, 79.375° W near the center of the feeding study area (Fry et al. 2016). Mean daily temperature during the exposure period was 23.3°C, close to the 15‐yr average for this period of 23.9°C.…”

Section: Methodsmentioning

confidence: 99%

“…VarroaPop + Pesticide requires daily weather data on temperature, precipitation, hours of daylight, and wind speed for the simulation period to determine potential foraging time. We used National Oceanic and Atmospheric Administration (NOAA) weather data gridded at 0.25°× 0.25°resolution and centered at 35.875°N, 79.375°W near the center of the feeding study area (Fry et al 2016). Mean daily temperature during the exposure period was 23.3°C, close to the 15-yr average for this period of 23.9°C.…”

Section: Varroapop + Pesticide Modelmentioning

confidence: 99%

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Inferring pesticide toxicity to honey bees from a field‐based feeding study using a colony model and Bayesian inference

Minucci

Curry²,

DeGrandi-Hoffman

et al. 2021

Ecological Applications

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Honey bees are crucial pollinators for agricultural crops but are threatened by a multitude of stressors including exposure to pesticides. Linking our understanding of how pesticides affect individual bees to colony-level responses is challenging because colonies show emergent properties based on complex internal processes and interactions among individual bees. Agent-based models that simulate honey bee colony dynamics may be a tool for scaling between individual and colony effects of a pesticide. The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the Var-roaPop + Pesticide model, which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites, and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin. This allowed us to reproduce colony feeding study data by simulating colony demography and mortality from ingestion of contaminated food. We found that VarroaPop + Pesticide was able to fit general trends in colony population size and structure and reproduce colony declines from increasing clothianidin exposure. The model underestimated adverse effects at low exposure (36 µg/kg), however, and overestimated recovery at the highest exposure level (140 µg/kg), for the adult and pupa endpoints, suggesting that mechanisms besides oral toxicity-induced mortality may have played a role in colony declines. The VarroaPop + Pesticide model estimates an adult oral LD 50 of 18.9 ng/bee (95% CI 10.1-32.6) based on the simulated feeding study data, which falls just above the 95% confidence intervals of values observed in laboratory toxicology studies on individual bees. Overall, our results demonstrate a novel method for analyzing colony-level data on pesticide effects on bees and making inferences on pesticide toxicity to individual bees.

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Section: Methodsmentioning

confidence: 99%

Section: Varroapop + Pesticide Modelmentioning

confidence: 99%

Inferring pesticide toxicity to honey bees from a field‐based feeding study using a colony model and Bayesian inference

Minucci

Curry²,

DeGrandi-Hoffman

et al. 2021

Ecological Applications

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show abstract

“…Various studies have investigated the spatial and temporal variations in potential or reference crop ET over various regions because it is critical for hydrological and agricultural water management, e.g., [12][13][14][15]. Climate and other environmental changes lead to spatially or temporally heterogeneous changes in ET; thus, a better understanding of the spatial and temporal variations in ET is required.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variations in Reference Crop Evapotranspiration in a Mountainous Island, Jeju, in South Korea

Kim

Park

2017

Water

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This study aims to assess the spatial and temporal variability of reference crop evapotranspiration (ET) over the mountainous Jeju Island, South Korea. In this mountainous region, only limited observed, station-based meteorological data are available, and thus statistical approaches are used to construct monthly reference crop ET maps. The maximum and minimum temperatures, wind speed, and relative humidity are gap filled using principal component regression (PCR) or multiple linear regression (MLR) and are then spatially interpolated using the hybrid Kriging method to construct monthly maps of reference crop ET at a resolution of 100 m. This study reveals various reference crop ET characteristics for Jeju Island that have not been investigated in previous studies. With increasing elevation and distance from the coast, the air temperature decrease and relative humidity (RH) increase. Therefore, the reference crop ET generally decreases. An increasing trend until the mid-2000s is present in the annual average reference crop ET values, and most of this increase arises from increasing trends in spring and summer. Summer reference crop ET values exhibit increasing trends over time below 1000 m a.s.l. and decreasing trends over time above 1000 m a.s.l.

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A sensitivity analysis of pesticide concentrations in California Central Valley vernal pools

Sinnathamby

Minucci

Denton

et al. 2020

Environmental Pollution

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Daily gridded weather for pesticide exposure modeling

Cited by 6 publications

References 19 publications

Inferring pesticide toxicity to honey bees from a field‐based feeding study using a colony model and Bayesian inference

Inferring pesticide toxicity to honey bees from a field‐based feeding study using a colony model and Bayesian inference

Spatial and Temporal Variations in Reference Crop Evapotranspiration in a Mountainous Island, Jeju, in South Korea

A sensitivity analysis of pesticide concentrations in California Central Valley vernal pools

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