Skip to content

Research at St Andrews

Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds

Research output: Contribution to journalArticle

DOI

Standard

Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds. / Studeny, Angelika Caroline; Buckland, Stephen Terrence; Harrison, Phil; Illian, Janine Baerbel; Magurran, Anne; Newson, Stuart E.

In: Journal of Applied Ecology, Vol. 50, No. 1, 02.2013, p. 190-198.

Research output: Contribution to journalArticle

Harvard

Studeny, AC, Buckland, ST, Harrison, P, Illian, JB, Magurran, A & Newson, SE 2013, 'Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds' Journal of Applied Ecology, vol. 50, no. 1, pp. 190-198. DOI: 10.1111/1365-2664.12026

APA

Studeny, A. C., Buckland, S. T., Harrison, P., Illian, J. B., Magurran, A., & Newson, S. E. (2013). Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds. Journal of Applied Ecology, 50(1), 190-198. DOI: 10.1111/1365-2664.12026

Vancouver

Studeny AC, Buckland ST, Harrison P, Illian JB, Magurran A, Newson SE. Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds. Journal of Applied Ecology. 2013 Feb;50(1):190-198. Available from, DOI: 10.1111/1365-2664.12026

Author

Studeny, Angelika Caroline ; Buckland, Stephen Terrence ; Harrison, Phil ; Illian, Janine Baerbel ; Magurran, Anne ; Newson, Stuart E./ Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds. In: Journal of Applied Ecology. 2013 ; Vol. 50, No. 1. pp. 190-198

Bibtex - Download

@article{03be8cb9feab4af982af0ac37f40f2d2,
title = "Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds",
abstract = "1. The current headline indicator for ecosystem health and sustainability incorporates a geometric mean of relative abundances of breeding birds. Recently, a family of diversity measures (k-measures) has been proposed as a novel instrument to separate diversity trends in dominant and rare species. This makes them an ecologically informative complement to current composite diversity indices.2. Using both a geometric mean and the set of k-measures, we study habitat-specific temporal trends in the diversity of British breeding birds. The analysis employs abundance estimates corrected for variation in detectability between individuals from different species to reduce bias. Applying generalized additive models, we predict long-term trends. We locate significant changes in these diversity trends.3. While the geometric mean reveals overall diversity trends by habitat type, supplementing these by the k-measures provides a more nuanced picture of trends: a positive trend in the geometric mean may hide predominantly declining trends among the rarer species, which is then revealed by trends in the k-measures.4. Synthesis and Applications. Bird populations are seen as useful indicators of the health of wildlife and the countryside because they occupy a range of habitats, they tend to be towards the top of the food chain, and data is provided by long-term surveys. Hence, many countries apply wild bird indicators (WBIs), quantifying trends in biodiversity, to monitor environmental health. The UK’s WBI, for example, has become one of the government’s headline indicatorsof sustainable development. Understanding the population changes underlying the estimated trends is indispensable if we are to allocate limited resources more effectively. Employing a novel set of measures alongside the traditional geometric mean index, we analyse diversity trends among British breeding birds. It reveals that species that are scarce, but not yet in the focus of conservation action, may be the ‘losers’ in biodiversity action plans.This suggests that additional resources should be devoted to species showing long-term decline before they reach the low population levels that currently trigger large-scale species-specific rescue projects.",
keywords = "2020 targets, change points in trend, convention on biological diversity, diversity index, geometric mean index, goodness-of-fit measures, long-term trends, rare species, species diversity, GENERALIZED ADDITIVE-MODELS, POPULATION TRENDS, FARMLAND BIRDS, GLOBAL BIODIVERSITY, INDICATORS, SELECTION, INDEXES, DIVERSITY, ABUNDANCE, PROGRESS",
author = "Studeny, {Angelika Caroline} and Buckland, {Stephen Terrence} and Phil Harrison and Illian, {Janine Baerbel} and Anne Magurran and Newson, {Stuart E.}",
year = "2013",
month = "2",
doi = "10.1111/1365-2664.12026",
language = "English",
volume = "50",
pages = "190--198",
journal = "Journal of Applied Ecology",
issn = "0021-8901",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Fine-tuning the assessment of large-scale temporal trends in biodiversity using the example of British breeding birds

AU - Studeny,Angelika Caroline

AU - Buckland,Stephen Terrence

AU - Harrison,Phil

AU - Illian,Janine Baerbel

AU - Magurran,Anne

AU - Newson,Stuart E.

PY - 2013/2

Y1 - 2013/2

N2 - 1. The current headline indicator for ecosystem health and sustainability incorporates a geometric mean of relative abundances of breeding birds. Recently, a family of diversity measures (k-measures) has been proposed as a novel instrument to separate diversity trends in dominant and rare species. This makes them an ecologically informative complement to current composite diversity indices.2. Using both a geometric mean and the set of k-measures, we study habitat-specific temporal trends in the diversity of British breeding birds. The analysis employs abundance estimates corrected for variation in detectability between individuals from different species to reduce bias. Applying generalized additive models, we predict long-term trends. We locate significant changes in these diversity trends.3. While the geometric mean reveals overall diversity trends by habitat type, supplementing these by the k-measures provides a more nuanced picture of trends: a positive trend in the geometric mean may hide predominantly declining trends among the rarer species, which is then revealed by trends in the k-measures.4. Synthesis and Applications. Bird populations are seen as useful indicators of the health of wildlife and the countryside because they occupy a range of habitats, they tend to be towards the top of the food chain, and data is provided by long-term surveys. Hence, many countries apply wild bird indicators (WBIs), quantifying trends in biodiversity, to monitor environmental health. The UK’s WBI, for example, has become one of the government’s headline indicatorsof sustainable development. Understanding the population changes underlying the estimated trends is indispensable if we are to allocate limited resources more effectively. Employing a novel set of measures alongside the traditional geometric mean index, we analyse diversity trends among British breeding birds. It reveals that species that are scarce, but not yet in the focus of conservation action, may be the ‘losers’ in biodiversity action plans.This suggests that additional resources should be devoted to species showing long-term decline before they reach the low population levels that currently trigger large-scale species-specific rescue projects.

AB - 1. The current headline indicator for ecosystem health and sustainability incorporates a geometric mean of relative abundances of breeding birds. Recently, a family of diversity measures (k-measures) has been proposed as a novel instrument to separate diversity trends in dominant and rare species. This makes them an ecologically informative complement to current composite diversity indices.2. Using both a geometric mean and the set of k-measures, we study habitat-specific temporal trends in the diversity of British breeding birds. The analysis employs abundance estimates corrected for variation in detectability between individuals from different species to reduce bias. Applying generalized additive models, we predict long-term trends. We locate significant changes in these diversity trends.3. While the geometric mean reveals overall diversity trends by habitat type, supplementing these by the k-measures provides a more nuanced picture of trends: a positive trend in the geometric mean may hide predominantly declining trends among the rarer species, which is then revealed by trends in the k-measures.4. Synthesis and Applications. Bird populations are seen as useful indicators of the health of wildlife and the countryside because they occupy a range of habitats, they tend to be towards the top of the food chain, and data is provided by long-term surveys. Hence, many countries apply wild bird indicators (WBIs), quantifying trends in biodiversity, to monitor environmental health. The UK’s WBI, for example, has become one of the government’s headline indicatorsof sustainable development. Understanding the population changes underlying the estimated trends is indispensable if we are to allocate limited resources more effectively. Employing a novel set of measures alongside the traditional geometric mean index, we analyse diversity trends among British breeding birds. It reveals that species that are scarce, but not yet in the focus of conservation action, may be the ‘losers’ in biodiversity action plans.This suggests that additional resources should be devoted to species showing long-term decline before they reach the low population levels that currently trigger large-scale species-specific rescue projects.

KW - 2020 targets

KW - change points in trend

KW - convention on biological diversity

KW - diversity index

KW - geometric mean index

KW - goodness-of-fit measures

KW - long-term trends

KW - rare species

KW - species diversity

KW - GENERALIZED ADDITIVE-MODELS

KW - POPULATION TRENDS

KW - FARMLAND BIRDS

KW - GLOBAL BIODIVERSITY

KW - INDICATORS

KW - SELECTION

KW - INDEXES

KW - DIVERSITY

KW - ABUNDANCE

KW - PROGRESS

U2 - 10.1111/1365-2664.12026

DO - 10.1111/1365-2664.12026

M3 - Article

VL - 50

SP - 190

EP - 198

JO - Journal of Applied Ecology

T2 - Journal of Applied Ecology

JF - Journal of Applied Ecology

SN - 0021-8901

IS - 1

ER -

Related by author

  1. The geometric mean of relative abundance indices: a biodiversity measure with a difference

    Buckland, S. T., Studeny, A. C., Magurran, A., Illian, J. B. & Newson, S. 2 Sep 2011 In : Ecosphere. 2, 9, 15 p., 100

    Research output: Contribution to journalArticle

  2. Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

    Yuan, Y., Bachl, F. E., Lindgren, F., Borchers, D. L., Illian, J. B., Buckland, S. T., Rue, H. & Gerrodette, T. Dec 2017 In : Annals of Applied Statistics. 11, 4, p. 2270-2297

    Research output: Contribution to journalArticle

  3. Quantifying temporal change in biodiversity: challenges and opportunities

    Dornelas, M., Magurran, A., Buckland, S. T., Chao, A., Chazdon, R. L., Colwell, R. K., Curtis, T., Gaston, K. J., Gotelli, N. J., Kosnik, M. A., McGill, B., McCune, J. L., Morlon, H., Mumby, P. J., Øvreås, L., Studeny, A. & Vellend, M. 7 Jan 2013 In : Proceedings of the Royal Society B: Biological Sciences. 280, 1750, 20121931

    Research output: Contribution to journalArticle

  4. How should regional biodiversity be monitored?

    Buckland, S. T., Baillie, S., Dick, J., Elston, D., Magurran, A., Scott, M., Smith, R., Somerfield, P., Studeny, A. C. & Watt, A. Dec 2012 In : Environmental and Ecological Statistics. 19, 4, p. 601-626

    Research output: Contribution to journalArticle

  5. Simulating shifts in taxonomic and functional β-diversity of ray-finned fishes: probing the Mariana disaster

    Trindade-Santos, I., Eduardo, A. A., Moyes, F., Martinez, P. A., Magurran, A. E. & Gouveia, S. F. 17 Oct 2018 In : Perspectives in Ecology and Conservation. In press, 7 p.

    Research output: Contribution to journalArticle

Related by journal

  1. Harbour seals avoid tidal turbine noise: implications for collision risk

    Hastie, G. D., Russell, D. J. F., Lepper, P., Elliott, J., Wilson, B., Benjamins, S. & Thompson, D. Mar 2018 In : Journal of Applied Ecology. 55, 2, p. 684-693 10 p.

    Research output: Contribution to journalArticle

  2. Marine mammals and sonar: dose-response studies, the risk-disturbance hypothesis and the role of exposure context

    Harris, C. M., Thomas, L., Falcone, E., Hildebrand, J., Houser, D., Kvadsheim, P., Lam, F-P. A., Miller, P., Moretti, D. J., Read, A., Slabbekoorn, H., Southall, B. L., Tyack, P. L., Wartzok, D. & Janik, V. M. Jan 2018 In : Journal of Applied Ecology. 55, 1, p. 396-404

    Research output: Contribution to journalReview article

  3. Counting chirps: acoustic monitoring of cryptic frogs

    Measey, G. J., Stevenson, B. C., Scott, T., Altwegg, R. & Borchers, D. L. Jun 2017 In : Journal of Applied Ecology. 54, 3, p. 894-902 9 p.

    Research output: Contribution to journalArticle

  4. Seals and shipping: quantifying population risk and individual exposure to vessel noise

    Jones, E. L., Hastie, G. D., Smout, S., Onoufriou, J., Merchant, N. D., Brookes, K. L. & Thompson, D. Dec 2017 In : Journal of Applied Ecology. 54, 6, p. 1930-1940

    Research output: Contribution to journalArticle

Related by journal

  1. Journal of Applied Ecology (Journal)

    Jason Matthiopoulos (Editor)
    2007 → …

    Activity: Publication peer-review and editorial workEditor of research journal

ID: 41375970