Estimating detectability using search experiments

Cindy Hauser, Joslin Moore

Research output: Other contributionResearchpeer-review

Abstract

During surveys, there is always a risk that we will fail to detect every individual weed.If we understand the detection rate in our survey, then we can predict potential failures and consequences for our weed management programme. Conversely, we can design surveys that reduce risk and expected consequences to an acceptable level.
Original languageEnglish
TypeBox in a book chapter
Media of outputBook
PublisherCambridge University Press
Number of pages4
Place of PublicationCambridge UK
ISBN (Print)9781107479487, 9781107095601
Publication statusPublished - 2017

Publication series

NameEcology, Biodiversity, and Conservation
PublisherCambridge University Press

Cite this

Hauser, C., & Moore, J. (2017). Estimating detectability using search experiments. Cambridge UK: Cambridge University Press.
Hauser, Cindy ; Moore, Joslin. / Estimating detectability using search experiments. 2017. Cambridge UK : Cambridge University Press. 4 p. (Ecology, Biodiversity, and Conservation).
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author = "Cindy Hauser and Joslin Moore",
year = "2017",
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isbn = "9781107479487",
series = "Ecology, Biodiversity, and Conservation",
publisher = "Cambridge University Press",
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Hauser, C & Moore, J 2017, Estimating detectability using search experiments. Cambridge University Press, Cambridge UK.

Estimating detectability using search experiments. / Hauser, Cindy; Moore, Joslin.

4 p. Cambridge UK : Cambridge University Press. 2017, Box in a book chapter. (Ecology, Biodiversity, and Conservation).

Research output: Other contributionResearchpeer-review

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T3 - Ecology, Biodiversity, and Conservation

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