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A comparison of some population density sampling techniques for biodiversity, conservation, and environmental impact studies.

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Title: A comparison of some population density sampling techniques for biodiversity, conservation, and environmental impact studies.
Authors: Bakus, Gerald J.1 bakus@usc.edu, Nishiyama, Gregory1, Hajdu, Eduardo2, Mehta, Hetal1, Mohammad, Mahadi3, Pinheiro, Ulisses dos S.4, Sohn, Stephen A.1, Pham, Thaddeus K.1, Yasin, Zulfigar bin3, Tan Shau-Hwai3, Karam, Abraham5, Hanan, Erin1
Source: Biodiversity & Conservation. Aug2007, Vol. 16 Issue 9, p2445-2455. 11p.
Subject Terms: *Statistical sampling, *Statistical sampling software, *Biodiversity, *Marine biodiversity, *Biocomplexity, *Ecological heterogeneity, *Environmental impact analysis, *Ecological carrying capacity
Geographic Terms: Malaysia, Brazil, United States
Abstract: Twelve terrestrial and marine studies were conducted at various sites in Malaysia, Brazil, and the United States between April 1999 and February 2004. These data were analyzed using five density estimate techniques for stationary (non-motile) organisms including Stratified Random Sampling, Point-Center Quarter, Third Nearest Object, Weinberg, and Strong. The Strong method gave the most accurate density estimates of stationary animals and plants. Stratified Random Sampling ranked second best and the Third Nearest Object the third best. Belt or strip transects may be preferable but can be restrictive in some situations because of logistics and associated time constraints. Straight line measurements on reefs were 3-27% more accurate than reef slack line and reef contour measurements. Most study areas measured with the standardized Morisita index of dispersion were moderately aggregated. Results from the Third Nearest Object and Point-Center Quarter techniques indicate that the addition of more data to establish a density correction factor does not necessarily give more accurate estimates of density. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 27576971
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: A comparison of some population density sampling techniques for biodiversity, conservation, and environmental impact studies.
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  Data: <searchLink fieldCode="AR" term="%22Bakus%2C+Gerald+J%2E%22">Bakus, Gerald J.</searchLink><relatesTo>1</relatesTo><i> bakus@usc.edu</i><br /><searchLink fieldCode="AR" term="%22Nishiyama%2C+Gregory%22">Nishiyama, Gregory</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hajdu%2C+Eduardo%22">Hajdu, Eduardo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mehta%2C+Hetal%22">Mehta, Hetal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mohammad%2C+Mahadi%22">Mohammad, Mahadi</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Pinheiro%2C+Ulisses+dos+S%2E%22">Pinheiro, Ulisses dos S.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Sohn%2C+Stephen+A%2E%22">Sohn, Stephen A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pham%2C+Thaddeus+K%2E%22">Pham, Thaddeus K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yasin%2C+Zulfigar+bin%22">Yasin, Zulfigar bin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Tan+Shau-Hwai%22">Tan Shau-Hwai</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Karam%2C+Abraham%22">Karam, Abraham</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Hanan%2C+Erin%22">Hanan, Erin</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Biodiversity+%26+Conservation%22">Biodiversity & Conservation</searchLink>. Aug2007, Vol. 16 Issue 9, p2445-2455. 11p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br />*<searchLink fieldCode="DE" term="%22Statistical+sampling+software%22">Statistical sampling software</searchLink><br />*<searchLink fieldCode="DE" term="%22Biodiversity%22">Biodiversity</searchLink><br />*<searchLink fieldCode="DE" term="%22Marine+biodiversity%22">Marine biodiversity</searchLink><br />*<searchLink fieldCode="DE" term="%22Biocomplexity%22">Biocomplexity</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+heterogeneity%22">Ecological heterogeneity</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+impact+analysis%22">Environmental impact analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+carrying+capacity%22">Ecological carrying capacity</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Malaysia%22">Malaysia</searchLink><br /><searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Twelve terrestrial and marine studies were conducted at various sites in Malaysia, Brazil, and the United States between April 1999 and February 2004. These data were analyzed using five density estimate techniques for stationary (non-motile) organisms including Stratified Random Sampling, Point-Center Quarter, Third Nearest Object, Weinberg, and Strong. The Strong method gave the most accurate density estimates of stationary animals and plants. Stratified Random Sampling ranked second best and the Third Nearest Object the third best. Belt or strip transects may be preferable but can be restrictive in some situations because of logistics and associated time constraints. Straight line measurements on reefs were 3-27% more accurate than reef slack line and reef contour measurements. Most study areas measured with the standardized Morisita index of dispersion were moderately aggregated. Results from the Third Nearest Object and Point-Center Quarter techniques indicate that the addition of more data to establish a density correction factor does not necessarily give more accurate estimates of density. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=27576971
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10531-006-9141-7
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2445
    Subjects:
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Statistical sampling software
        Type: general
      – SubjectFull: Biodiversity
        Type: general
      – SubjectFull: Marine biodiversity
        Type: general
      – SubjectFull: Biocomplexity
        Type: general
      – SubjectFull: Ecological heterogeneity
        Type: general
      – SubjectFull: Environmental impact analysis
        Type: general
      – SubjectFull: Ecological carrying capacity
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      – SubjectFull: Malaysia
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      – SubjectFull: Brazil
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      – SubjectFull: United States
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              Text: Aug2007
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              Y: 2007
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