Population declines among Canadian vertebrates: But data of different quality show diverging trends

We produced a biodiversity indicator, the Canadian Species Index (CSI), by gathering abundance data for Canadian vertebrate populations and adapting the Living Planet Index methodology. The final indicator incorporates over 3000 abundance time series and contains data for more than 50% of Canadian n...

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Autores principales: Valentina Marconi, Louise McRae, Helen Müller, Jessica Currie, Sarah Whitmee, Fawziah (ZuZu) Gadallah, Robin Freeman
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/780ed35b9198499586b1f98a9f86aa64
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spelling oai:doaj.org-article:780ed35b9198499586b1f98a9f86aa642021-12-01T04:58:08ZPopulation declines among Canadian vertebrates: But data of different quality show diverging trends1470-160X10.1016/j.ecolind.2021.108022https://doaj.org/article/780ed35b9198499586b1f98a9f86aa642021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006877https://doaj.org/toc/1470-160XWe produced a biodiversity indicator, the Canadian Species Index (CSI), by gathering abundance data for Canadian vertebrate populations and adapting the Living Planet Index methodology. The final indicator incorporates over 3000 abundance time series and contains data for more than 50% of Canadian native vertebrate species. Species abundance declined by an average 10% between 1970 and 2014, with trends varying across taxonomic groups. To facilitate the interpretation of the indicator and contribute to the transparency of the reporting process, here we present a discussion of the indicator’s coverage, data quality and data gaps. Using data collected for other purposes means the dataset inherits the biases in biodiversity monitoring. We therefore assessed taxonomic and geographic coverage of the data underlying the indicator to highlight which areas and groups are under-represented. Birds are comprehensively monitored across Canada and are considered good indicators of the state of the environment. Other taxonomic groups are less well monitored, and the data available for these groups often consist of shorter and less full time series, representing smaller segments of the national population. A disaggregation based on data quality appears to show that trends based on species with lower quality data are more negative than for species with higher quality data. We discuss possible sources of the difference, including the relationship between taxon and data quality. Additional data collection on species contributing to the lower-quality subsets is needed to confirm negative trends.Valentina MarconiLouise McRaeHelen MüllerJessica CurrieSarah WhitmeeFawziah (ZuZu) GadallahRobin FreemanElsevierarticleBiodiversity lossLiving Planet IndexNational biodiversity indicatorsAbundance trendsBiodiversity data biasEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108022- (2021)
institution DOAJ
collection DOAJ
language EN
topic Biodiversity loss
Living Planet Index
National biodiversity indicators
Abundance trends
Biodiversity data bias
Ecology
QH540-549.5
spellingShingle Biodiversity loss
Living Planet Index
National biodiversity indicators
Abundance trends
Biodiversity data bias
Ecology
QH540-549.5
Valentina Marconi
Louise McRae
Helen Müller
Jessica Currie
Sarah Whitmee
Fawziah (ZuZu) Gadallah
Robin Freeman
Population declines among Canadian vertebrates: But data of different quality show diverging trends
description We produced a biodiversity indicator, the Canadian Species Index (CSI), by gathering abundance data for Canadian vertebrate populations and adapting the Living Planet Index methodology. The final indicator incorporates over 3000 abundance time series and contains data for more than 50% of Canadian native vertebrate species. Species abundance declined by an average 10% between 1970 and 2014, with trends varying across taxonomic groups. To facilitate the interpretation of the indicator and contribute to the transparency of the reporting process, here we present a discussion of the indicator’s coverage, data quality and data gaps. Using data collected for other purposes means the dataset inherits the biases in biodiversity monitoring. We therefore assessed taxonomic and geographic coverage of the data underlying the indicator to highlight which areas and groups are under-represented. Birds are comprehensively monitored across Canada and are considered good indicators of the state of the environment. Other taxonomic groups are less well monitored, and the data available for these groups often consist of shorter and less full time series, representing smaller segments of the national population. A disaggregation based on data quality appears to show that trends based on species with lower quality data are more negative than for species with higher quality data. We discuss possible sources of the difference, including the relationship between taxon and data quality. Additional data collection on species contributing to the lower-quality subsets is needed to confirm negative trends.
format article
author Valentina Marconi
Louise McRae
Helen Müller
Jessica Currie
Sarah Whitmee
Fawziah (ZuZu) Gadallah
Robin Freeman
author_facet Valentina Marconi
Louise McRae
Helen Müller
Jessica Currie
Sarah Whitmee
Fawziah (ZuZu) Gadallah
Robin Freeman
author_sort Valentina Marconi
title Population declines among Canadian vertebrates: But data of different quality show diverging trends
title_short Population declines among Canadian vertebrates: But data of different quality show diverging trends
title_full Population declines among Canadian vertebrates: But data of different quality show diverging trends
title_fullStr Population declines among Canadian vertebrates: But data of different quality show diverging trends
title_full_unstemmed Population declines among Canadian vertebrates: But data of different quality show diverging trends
title_sort population declines among canadian vertebrates: but data of different quality show diverging trends
publisher Elsevier
publishDate 2021
url https://doaj.org/article/780ed35b9198499586b1f98a9f86aa64
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