A spatially explicit model for estimating risks of pesticide exposure to bird populations.

Pesticides are used widely in agriculture and have the potential to affect non-target organisms, including birds. We developed an integrated modeling system to allow for spatially-explicit evaluation of potential impacts to bird populations following exposures to pesticides. Our novel methodology bu...

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Autores principales:	Matthew Etterson, Nathan Schumaker, Kristina Garber, Steven Lennartz, Andrew Kanarek, Jennifer Connolly
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/82f2b8389fa14ab38e476eaf920d80b1
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spelling	oai:doaj.org-article:82f2b8389fa14ab38e476eaf920d80b12021-12-02T20:07:04ZA spatially explicit model for estimating risks of pesticide exposure to bird populations.1932-620310.1371/journal.pone.0252545https://doaj.org/article/82f2b8389fa14ab38e476eaf920d80b12021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252545https://doaj.org/toc/1932-6203Pesticides are used widely in agriculture and have the potential to affect non-target organisms, including birds. We developed an integrated modeling system to allow for spatially-explicit evaluation of potential impacts to bird populations following exposures to pesticides. Our novel methodology builds upon three existing models: the Terrestrial Investigation Model (TIM), the Markov Chain Nest Productivity Model (MCnest), and HexSim to simulate population dynamics. We parameterized the integrated modeling system using information required under the Federal Insecticide, Fungicide, and Rodenticide Act, together with species habitat and life history data available from the scientific literature as well as landcover data representing agricultural areas and species habitat. Our case study of the federally threatened California Gnatcatcher (Polioptila californica) illustrates how the integrated modeling system can estimate the population-scale consequences of pesticide applications. We simulated impacts from two insecticides applied to wheat: one causing mortality (survival stressor), and the other causing reproductive failure (reproductive stressor). We observed declines in simulated gnatcatcher abundance and changes in the species' distribution following applications of each pesticide; however, the impacts of the two pesticides were different. Our methodology attempts to strike a balance between biological realism and model complexity and should be applicable to a wide array of species, systems, and stressors.Matthew EttersonNathan SchumakerKristina GarberSteven LennartzAndrew KanarekJennifer ConnollyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252545 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Matthew Etterson Nathan Schumaker Kristina Garber Steven Lennartz Andrew Kanarek Jennifer Connolly A spatially explicit model for estimating risks of pesticide exposure to bird populations.
description	Pesticides are used widely in agriculture and have the potential to affect non-target organisms, including birds. We developed an integrated modeling system to allow for spatially-explicit evaluation of potential impacts to bird populations following exposures to pesticides. Our novel methodology builds upon three existing models: the Terrestrial Investigation Model (TIM), the Markov Chain Nest Productivity Model (MCnest), and HexSim to simulate population dynamics. We parameterized the integrated modeling system using information required under the Federal Insecticide, Fungicide, and Rodenticide Act, together with species habitat and life history data available from the scientific literature as well as landcover data representing agricultural areas and species habitat. Our case study of the federally threatened California Gnatcatcher (Polioptila californica) illustrates how the integrated modeling system can estimate the population-scale consequences of pesticide applications. We simulated impacts from two insecticides applied to wheat: one causing mortality (survival stressor), and the other causing reproductive failure (reproductive stressor). We observed declines in simulated gnatcatcher abundance and changes in the species' distribution following applications of each pesticide; however, the impacts of the two pesticides were different. Our methodology attempts to strike a balance between biological realism and model complexity and should be applicable to a wide array of species, systems, and stressors.
format	article
author	Matthew Etterson Nathan Schumaker Kristina Garber Steven Lennartz Andrew Kanarek Jennifer Connolly
author_facet	Matthew Etterson Nathan Schumaker Kristina Garber Steven Lennartz Andrew Kanarek Jennifer Connolly
author_sort	Matthew Etterson
title	A spatially explicit model for estimating risks of pesticide exposure to bird populations.
title_short	A spatially explicit model for estimating risks of pesticide exposure to bird populations.
title_full	A spatially explicit model for estimating risks of pesticide exposure to bird populations.
title_fullStr	A spatially explicit model for estimating risks of pesticide exposure to bird populations.
title_full_unstemmed	A spatially explicit model for estimating risks of pesticide exposure to bird populations.
title_sort	spatially explicit model for estimating risks of pesticide exposure to bird populations.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/82f2b8389fa14ab38e476eaf920d80b1
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A spatially explicit model for estimating risks of pesticide exposure to bird populations.

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