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Modeling long-term effects of pesticides on populations: Beyond just counting dead animals
Univ Washington, Dept Zool, Seattle, WA 98195 USA Washington State Univ, Puyallup Res & Extens Ctr, Puyallup, WA 98371 USA.
Univ Washington, Dept Zool, Seattle, WA 98195 USA Washington State Univ, Puyallup Res & Extens Ctr, Puyallup, WA 98371 USA.
2000 (English)In: Ecological Applications, ISSN 1051-0761, E-ISSN 1939-5582, Vol. 10, no 1, 295-302 p.Article in journal (Refereed) Published
Abstract [en]

New highly selective pesticides are often less lethal than older pesticides and consequently leave many survivors behind. Because there are survivors, evaluating efficacy for these new pesticides requires a subtler approach than simply counting dead animals. To address this problem we developed a demographic model that incorporates the biological complexities of age structure, temperature sensitivity, and pesticide persistence. We illustrate our approach using experimental data on the activity of Margosan-O, a derivative from the neem tree, applied to the pea aphid. We found that, although the activity of Margosan-O decreased with time after spray, it persisted for similar to 2 wk at 25 degrees C. To quantify the effectiveness of Margosan-O we introduced a new measure, a delay in population growth, since the result of a spray was short-term reduction in population growth from which the population will eventually recover. The practical question is then how long is the delay? We found the delay to be >5 d at 25 degrees C for 40-60 mu L/L of Margosan-O and longer at lower temperatures. Proper estimation of the delay required including the age selectivity and persistence of Margosan-O. We suggest that generally these new less lethal chemicals demand a new approach in toxicology both theoretically and experimentally.

Place, publisher, year, edition, pages
2000. Vol. 10, no 1, 295-302 p.
Keyword [en]
demography, ecotoxicology, insecticides, Margosan-O, neem, pea aphid, pesticides, evaluating efficacy, population, stage-structure
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-49867OAI: oai:DiVA.org:liu-49867DiVA: diva2:270763
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-12

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • nn-NB
  • sv-SE
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Output format
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