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Landscape predictors of pathogen prevalence and range contractions in US bumblebees
by
Adler, Lynn S.
, Irwin, Rebecca E.
, Urbanowicz, Christine
, McCoshum, Shaun
, McArt, Scott H.
in
Agriculture - methods
/ Animal Distribution
/ Animals
/ Bees
/ Bees - microbiology
/ Bees - physiology
/ Bombus
/ Bumblebees
/ Chlorothalonil
/ Ecology
/ Ecosystem
/ Fungicides
/ Land use
/ Landscape
/ Lasso
/ Learning algorithms
/ Machine Learning
/ Models, Biological
/ Nosema - physiology
/ Nosema bombi
/ Pathogens
/ Pesticides
/ Pesticides - adverse effects
/ Pollinator Health
/ Population decline
/ Population Dynamics
/ Species
/ Species Specificity
/ Stability Selection
/ Threat evaluation
/ United States
2017
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Landscape predictors of pathogen prevalence and range contractions in US bumblebees
by
Adler, Lynn S.
, Irwin, Rebecca E.
, Urbanowicz, Christine
, McCoshum, Shaun
, McArt, Scott H.
in
Agriculture - methods
/ Animal Distribution
/ Animals
/ Bees
/ Bees - microbiology
/ Bees - physiology
/ Bombus
/ Bumblebees
/ Chlorothalonil
/ Ecology
/ Ecosystem
/ Fungicides
/ Land use
/ Landscape
/ Lasso
/ Learning algorithms
/ Machine Learning
/ Models, Biological
/ Nosema - physiology
/ Nosema bombi
/ Pathogens
/ Pesticides
/ Pesticides - adverse effects
/ Pollinator Health
/ Population decline
/ Population Dynamics
/ Species
/ Species Specificity
/ Stability Selection
/ Threat evaluation
/ United States
2017
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Do you wish to request the book?
Landscape predictors of pathogen prevalence and range contractions in US bumblebees
by
Adler, Lynn S.
, Irwin, Rebecca E.
, Urbanowicz, Christine
, McCoshum, Shaun
, McArt, Scott H.
in
Agriculture - methods
/ Animal Distribution
/ Animals
/ Bees
/ Bees - microbiology
/ Bees - physiology
/ Bombus
/ Bumblebees
/ Chlorothalonil
/ Ecology
/ Ecosystem
/ Fungicides
/ Land use
/ Landscape
/ Lasso
/ Learning algorithms
/ Machine Learning
/ Models, Biological
/ Nosema - physiology
/ Nosema bombi
/ Pathogens
/ Pesticides
/ Pesticides - adverse effects
/ Pollinator Health
/ Population decline
/ Population Dynamics
/ Species
/ Species Specificity
/ Stability Selection
/ Threat evaluation
/ United States
2017
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Landscape predictors of pathogen prevalence and range contractions in US bumblebees
Journal Article
Landscape predictors of pathogen prevalence and range contractions in US bumblebees
2017
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Overview
Several species of bumblebees have recently experienced range contractions and possible extinctions. While threats to bees are numerous, few analyses have attempted to understand the relative importance of multiple stressors. Such analyses are critical for prioritizing conservation strategies. Here, we describe a landscape analysis of factors predicted to cause bumblebee declines in the USA. We quantified 24 habitat, land-use and pesticide usage variables across 284 sampling locations, assessing which variables predicted pathogen prevalence and range contractions via machine learning model selection techniques. We found that greater usage of the fungicide chlorothalonil was the best predictor of pathogen (Nosema bombi) prevalence in four declining species of bumblebees. Nosema bombi has previously been found in greater prevalence in some declining US bumblebee species compared to stable species. Greater usage of total fungicides was the strongest predictor of range contractions in declining species, with bumblebees in the northern USA experiencing greater likelihood of loss from previously occupied areas. These results extend several recent laboratory and semi-field studies that have found surprising links between fungicide exposure and bee health. Specifically, our data suggest landscape-scale connections between fungicide usage, pathogen prevalence and declines of threatened and endangered bumblebees.
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