The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species

Abstract Decision makers often cite data quality as a limitation in environmental management. Value of information approaches evaluate the benefit of new data collection for management outcomes. Pesticide exposure risk assessment for endangered species is one context where data limitations may affec...

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Autores principales: Erin L. Murphy, Steffen Eikenberry, Gwenllian Iacona, Greg Watson, Leah R. Gerber
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Publicado: Wiley 2021
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spelling oai:doaj.org-article:0254b70800144ba89d9c08108235d6b72021-12-01T10:20:57ZThe value of increased spatial resolution of pesticide usage data for assessing risk to endangered species2578-485410.1111/csp2.551https://doaj.org/article/0254b70800144ba89d9c08108235d6b72021-12-01T00:00:00Zhttps://doi.org/10.1111/csp2.551https://doaj.org/toc/2578-4854Abstract Decision makers often cite data quality as a limitation in environmental management. Value of information approaches evaluate the benefit of new data collection for management outcomes. Pesticide exposure risk assessment for endangered species is one context where data limitations may affect decisions and a value of information type approach could be useful for identifying optimal data quality and resolution. Under the U.S. Federal Insecticide, Fungicide and Rodenticide Act, the U.S. Environmental Protection Agency (EPA) is responsible for registering pesticides before they can be sold and regularly reviewing pesticides. Section 7 of the Endangered Species Act requires that the EPA consider potential impacts of pesticides to listed endangered species and critical habitats in this process, and for the Services—U.S. Fish and Wildlife Service and National Marine Fisheries Service—to complete a formal Section 7 consultation if the EPA deems it necessary. The current process is time‐intensive, lacks transparency and confidence among stakeholders, and leaves hundreds of unreviewed pesticides on the market. Increasing the resolution of pesticide usage data could address these concerns by improving estimated overlaps between species ranges and pesticide usage. Thus, we evaluated the relative importance of different resolutions of pesticide usage data for assessing expected carbaryl exposure to endangered plant species endemic to California. We found that spatially explicit, township resolution usage data (~36 mile2) excluded 33% of terrestrial plants (55/168) and 51% their critical habitats (27/53) from requiring a Section 7 consultation, while coarser resolution data excluded none. In contrast, the EPA's biological evaluation for carbaryl only excludes 4% of terrestrial plants (nationally) from requiring formal Section 7 consultation. This suggests high‐resolution data could increase pesticide review efficiency and decrease the amount of time pesticides remain on the market without a formal evaluation.Erin L. MurphySteffen EikenberryGwenllian IaconaGreg WatsonLeah R. GerberWileyarticleconservationcritical habitatdecision theoryendangered species conservation planningenvironmental policyvalue of informationEcologyQH540-549.5General. Including nature conservation, geographical distributionQH1-199.5ENConservation Science and Practice, Vol 3, Iss 12, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic conservation
critical habitat
decision theory
endangered species conservation planning
environmental policy
value of information
Ecology
QH540-549.5
General. Including nature conservation, geographical distribution
QH1-199.5
spellingShingle conservation
critical habitat
decision theory
endangered species conservation planning
environmental policy
value of information
Ecology
QH540-549.5
General. Including nature conservation, geographical distribution
QH1-199.5
Erin L. Murphy
Steffen Eikenberry
Gwenllian Iacona
Greg Watson
Leah R. Gerber
The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
description Abstract Decision makers often cite data quality as a limitation in environmental management. Value of information approaches evaluate the benefit of new data collection for management outcomes. Pesticide exposure risk assessment for endangered species is one context where data limitations may affect decisions and a value of information type approach could be useful for identifying optimal data quality and resolution. Under the U.S. Federal Insecticide, Fungicide and Rodenticide Act, the U.S. Environmental Protection Agency (EPA) is responsible for registering pesticides before they can be sold and regularly reviewing pesticides. Section 7 of the Endangered Species Act requires that the EPA consider potential impacts of pesticides to listed endangered species and critical habitats in this process, and for the Services—U.S. Fish and Wildlife Service and National Marine Fisheries Service—to complete a formal Section 7 consultation if the EPA deems it necessary. The current process is time‐intensive, lacks transparency and confidence among stakeholders, and leaves hundreds of unreviewed pesticides on the market. Increasing the resolution of pesticide usage data could address these concerns by improving estimated overlaps between species ranges and pesticide usage. Thus, we evaluated the relative importance of different resolutions of pesticide usage data for assessing expected carbaryl exposure to endangered plant species endemic to California. We found that spatially explicit, township resolution usage data (~36 mile2) excluded 33% of terrestrial plants (55/168) and 51% their critical habitats (27/53) from requiring a Section 7 consultation, while coarser resolution data excluded none. In contrast, the EPA's biological evaluation for carbaryl only excludes 4% of terrestrial plants (nationally) from requiring formal Section 7 consultation. This suggests high‐resolution data could increase pesticide review efficiency and decrease the amount of time pesticides remain on the market without a formal evaluation.
format article
author Erin L. Murphy
Steffen Eikenberry
Gwenllian Iacona
Greg Watson
Leah R. Gerber
author_facet Erin L. Murphy
Steffen Eikenberry
Gwenllian Iacona
Greg Watson
Leah R. Gerber
author_sort Erin L. Murphy
title The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
title_short The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
title_full The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
title_fullStr The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
title_full_unstemmed The value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
title_sort value of increased spatial resolution of pesticide usage data for assessing risk to endangered species
publisher Wiley
publishDate 2021
url https://doaj.org/article/0254b70800144ba89d9c08108235d6b7
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