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Assessing the Impacts of Imperfect D...

University of Toronto (Canada).

Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling./
Author:	Benoit, David.
Description:	1 online resource (53 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-05.
Subject:	Ecology. -
Online resource:	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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100 1 $a Benoit, David. $3 653499
245 1 0 $a Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.
264 0 $c 2017
300 $a 1 online resource (53 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Advisers: Donald Jackson; Mark Ridgway.
502 $a Thesis (M.Sc.)--University of Toronto (Canada), 2017.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Ecology. $3 575279
650 4 $a Biology. $3 599573
655 7 $a Electronic books. $2 local $3 554714
690 $a 0329
690 $a 0306
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Toronto (Canada). $b Ecology and Evolutionary Biology. $3 1179765
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10254803 $z click for full text (PQDT)

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