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Measuring temporal trends in biodiversity

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Measuring temporal trends in biodiversity. / Buckland, S. T.; Yuan, Y.; Marcon, Eric.

In: Advances in Statistical Analysis, Vol. 101, No. 4, 10.2017, p. 461-474.

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Buckland, ST, Yuan, Y & Marcon, E 2017, 'Measuring temporal trends in biodiversity' Advances in Statistical Analysis, vol. 101, no. 4, pp. 461-474. DOI: 10.1007/s10182-017-0308-1

APA

Buckland, S. T., Yuan, Y., & Marcon, E. (2017). Measuring temporal trends in biodiversity. Advances in Statistical Analysis, 101(4), 461-474. DOI: 10.1007/s10182-017-0308-1

Vancouver

Buckland ST, Yuan Y, Marcon E. Measuring temporal trends in biodiversity. Advances in Statistical Analysis. 2017 Oct;101(4):461-474. Available from, DOI: 10.1007/s10182-017-0308-1

Author

Buckland, S. T. ; Yuan, Y. ; Marcon, Eric. / Measuring temporal trends in biodiversity. In: Advances in Statistical Analysis. 2017 ; Vol. 101, No. 4. pp. 461-474

Bibtex - Download

@article{9c9b88310da54496b47a8ffa0fedc563,
title = "Measuring temporal trends in biodiversity",
abstract = "In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, ‘to significantly reduce the rate of biodiversity loss by 2010’. In order to assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that were prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising for example from climate change.",
keywords = "Biodiversity measures, Diversity profiles, Geometric mean, Species similarity, Turnover measures",
author = "Buckland, {S. T.} and Y. Yuan and Eric Marcon",
note = "Yuan was part-funded by EPSRC/NERC Grant EP/1000917/1 and Marcon by ANR-10-LABX-25-01.",
year = "2017",
month = "10",
doi = "10.1007/s10182-017-0308-1",
language = "English",
volume = "101",
pages = "461--474",
journal = "Advances in Statistical Analysis",
issn = "1863-8171",
publisher = "Springer",
number = "4",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Measuring temporal trends in biodiversity

AU - Buckland,S. T.

AU - Yuan,Y.

AU - Marcon,Eric

N1 - Yuan was part-funded by EPSRC/NERC Grant EP/1000917/1 and Marcon by ANR-10-LABX-25-01.

PY - 2017/10

Y1 - 2017/10

N2 - In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, ‘to significantly reduce the rate of biodiversity loss by 2010’. In order to assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that were prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising for example from climate change.

AB - In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, ‘to significantly reduce the rate of biodiversity loss by 2010’. In order to assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that were prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising for example from climate change.

KW - Biodiversity measures

KW - Diversity profiles

KW - Geometric mean

KW - Species similarity

KW - Turnover measures

U2 - 10.1007/s10182-017-0308-1

DO - 10.1007/s10182-017-0308-1

M3 - Article

VL - 101

SP - 461

EP - 474

JO - Advances in Statistical Analysis

T2 - Advances in Statistical Analysis

JF - Advances in Statistical Analysis

SN - 1863-8171

IS - 4

ER -

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