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Published in 2020 at "Pest management science"
DOI: 10.1002/ps.6125
Abstract: BACKGROUND Phenology models based on degree-days were modified to estimate the effects of insecticide applications on the codling moth, Cydia pomonella (L.), and the obliquebanded leafroller, Choristoneura rosaceana (Harris) (Lepidoptera: Tortricidae). Because the models inherently…
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Keywords:
phenology models;
obliquebanded leafroller;
codling moth;
phenology ... See more keywords
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Published in 2017 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2017.03.021
Abstract: Abstract This study presents the first evaluation of apple flowering phenology models using data from 14 sites across the globe. The dataset includes large variability in growing climates, a prerequisite to investigate phenology models for…
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Keywords:
phenology models;
model;
apple flowering;
phenology ... See more keywords
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Published in 2021 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2021.108126
Abstract: Abstract The timing of vegetation spring onset is largely influenced by climate factors, making it sensitive to climate variation. Robust models that predict vegetation spring onset via the climate forcing data are needed in the…
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Keywords:
phenology models;
numerical phenology;
vegetation;
spring onset ... See more keywords
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Published in 2019 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2019.108805
Abstract: The phenology of plants is a major driver of agro-ecosystem processes and biosphere feedbacks to the climate system. Phenology models are classically used in ecology and agronomy to project future phenological changes. With our increasing…
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Keywords:
phenology models;
temperature;
bud break;
sensitivity ... See more keywords
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Published in 2018 at "European Journal of Agronomy"
DOI: 10.1016/j.eja.2017.12.001
Abstract: Abstract Rigorous calibration of crop phenology models, providing both best-estimate parameters and estimates of parameter uncertainty, is essential for evaluating how crops will respond to future environmental and management changes. Least squares parameter estimation is…
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Keywords:
phenology models;
uncertainty;
uncertainty wheat;
model ... See more keywords