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Assessing the Impacts of Imperfect D...
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University of Toronto (Canada).
Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling./
作者:
Benoit, David.
面頁冊數:
1 online resource (53 pages)
附註:
Source: Masters Abstracts International, Volume: 56-05.
標題:
Ecology. -
電子資源:
click for full text (PQDT)
ISBN:
9780355093353
Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.
Benoit, David.
Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.
- 1 online resource (53 pages)
Source: Masters Abstracts International, Volume: 56-05.
Thesis (M.Sc.)--University of Toronto (Canada), 2017.
Includes bibliographical references
Regardless of sampling effort, it is rare to detect all individuals or species in a given survey. This issue, more commonly known as imperfect detection, can have negative impacts on data quality and interpretation, most notably leading to false absences for rare or difficult-to-detect species. In this study, I set out to determine the impacts of imperfect detection on estimates of species richness and community structure in a stream fish assemblage. Multi-species occupancy modelling was used to estimate speciesspecific occurrence probabilities while accounting for imperfect detection, thus creating a more informed dataset. This dataset was then compared to the original to see where differences occurred. In my analyses, I demonstrated that imperfect detection can lead to large changes in estimates of species richness at the site level and summarized differences in the community structure and sampling locations, represented through correspondence analyses.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355093353Subjects--Topical Terms:
575279
Ecology.
Index Terms--Genre/Form:
554714
Electronic books.
Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.
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Regardless of sampling effort, it is rare to detect all individuals or species in a given survey. This issue, more commonly known as imperfect detection, can have negative impacts on data quality and interpretation, most notably leading to false absences for rare or difficult-to-detect species. In this study, I set out to determine the impacts of imperfect detection on estimates of species richness and community structure in a stream fish assemblage. Multi-species occupancy modelling was used to estimate speciesspecific occurrence probabilities while accounting for imperfect detection, thus creating a more informed dataset. This dataset was then compared to the original to see where differences occurred. In my analyses, I demonstrated that imperfect detection can lead to large changes in estimates of species richness at the site level and summarized differences in the community structure and sampling locations, represented through correspondence analyses.
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click for full text (PQDT)
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