Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.

Biodiversity loss is a global ecological crisis that is both a driver of and response to environmental change. Understanding the connections between species declines and other components of human-natural systems extends across the physical, life, and social sciences. From an analysis perspective, th...

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Autores principales:	Mei-Ling Emily Feng, Judy Che-Castaldo
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4d0c22e760324b0692633a4c1d8d5d5b
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id	oai:doaj.org-article:4d0c22e760324b0692633a4c1d8d5d5b
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spelling	oai:doaj.org-article:4d0c22e760324b0692633a4c1d8d5d5b2021-12-02T20:14:41ZComparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.1932-620310.1371/journal.pone.0257226https://doaj.org/article/4d0c22e760324b0692633a4c1d8d5d5b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257226https://doaj.org/toc/1932-6203Biodiversity loss is a global ecological crisis that is both a driver of and response to environmental change. Understanding the connections between species declines and other components of human-natural systems extends across the physical, life, and social sciences. From an analysis perspective, this requires integration of data from different scientific domains, which often have heterogeneous scales and resolutions. Community science projects such as eBird may help to fill spatiotemporal gaps and enhance the resolution of standardized biological surveys. Comparisons between eBird and the more comprehensive North American Breeding Bird Survey (BBS) have found these datasets can produce consistent multi-year abundance trends for bird populations at national and regional scales. Here we investigate the reliability of these datasets for estimating patterns at finer resolutions, inter-annual changes in abundance within town boundaries. Using a case study of 14 focal species within Massachusetts, we calculated four indices of annual relative abundance using eBird and BBS datasets, including two different modeling approaches within each dataset. We compared the correspondence between these indices in terms of multi-year trends, annual estimates, and inter-annual changes in estimates at the state and town-level. We found correspondence between eBird and BBS multi-year trends, but this was not consistent across all species and diminished at finer, inter-annual temporal resolutions. We further show that standardizing modeling approaches can increase index reliability even between datasets at coarser temporal resolutions. Our results indicate that multiple datasets and modeling methods should be considered when estimating species population dynamics at finer temporal resolutions, but standardizing modeling approaches may improve estimate correspondence between abundance datasets. In addition, reliability of these indices at finer spatial scales may depend on habitat composition, which can impact survey accuracy.Mei-Ling Emily FengJudy Che-CastaldoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257226 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mei-Ling Emily Feng Judy Che-Castaldo Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
description	Biodiversity loss is a global ecological crisis that is both a driver of and response to environmental change. Understanding the connections between species declines and other components of human-natural systems extends across the physical, life, and social sciences. From an analysis perspective, this requires integration of data from different scientific domains, which often have heterogeneous scales and resolutions. Community science projects such as eBird may help to fill spatiotemporal gaps and enhance the resolution of standardized biological surveys. Comparisons between eBird and the more comprehensive North American Breeding Bird Survey (BBS) have found these datasets can produce consistent multi-year abundance trends for bird populations at national and regional scales. Here we investigate the reliability of these datasets for estimating patterns at finer resolutions, inter-annual changes in abundance within town boundaries. Using a case study of 14 focal species within Massachusetts, we calculated four indices of annual relative abundance using eBird and BBS datasets, including two different modeling approaches within each dataset. We compared the correspondence between these indices in terms of multi-year trends, annual estimates, and inter-annual changes in estimates at the state and town-level. We found correspondence between eBird and BBS multi-year trends, but this was not consistent across all species and diminished at finer, inter-annual temporal resolutions. We further show that standardizing modeling approaches can increase index reliability even between datasets at coarser temporal resolutions. Our results indicate that multiple datasets and modeling methods should be considered when estimating species population dynamics at finer temporal resolutions, but standardizing modeling approaches may improve estimate correspondence between abundance datasets. In addition, reliability of these indices at finer spatial scales may depend on habitat composition, which can impact survey accuracy.
format	article
author	Mei-Ling Emily Feng Judy Che-Castaldo
author_facet	Mei-Ling Emily Feng Judy Che-Castaldo
author_sort	Mei-Ling Emily Feng
title	Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
title_short	Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
title_full	Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
title_fullStr	Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
title_full_unstemmed	Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
title_sort	comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4d0c22e760324b0692633a4c1d8d5d5b
work_keys_str_mv	AT meilingemilyfeng comparingthereliabilityofrelativebirdabundanceindicesfromstandardizedsurveysandcommunitysciencedataatfinerresolutions AT judychecastaldo comparingthereliabilityofrelativebirdabundanceindicesfromstandardizedsurveysandcommunitysciencedataatfinerresolutions
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Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions.

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