Bird trends from long-term observation data at sites in the Hudson Bay Lowlands

Monitoring population trends for bird species in the Arctic and sub-Arctic can be difficult and cost prohibitive. Breeding populations of birds in these remote locations may be changing and have garnered much attention regarding their conservation. We analyzed data from bird lists (daily species obs...

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Autores principales:	Rodney W. Brook, Lisa A. Pollock, Kenneth F. Abraham, Glen S. Brown
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2021
Materias:	bayesian logistic model climate change overgrazing habitat change list length population trends Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/929ffb6fb2654d85921add9cb5ddee25
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id	oai:doaj.org-article:929ffb6fb2654d85921add9cb5ddee25
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spelling	oai:doaj.org-article:929ffb6fb2654d85921add9cb5ddee252021-11-15T16:40:14ZBird trends from long-term observation data at sites in the Hudson Bay Lowlands1712-6568https://doaj.org/article/929ffb6fb2654d85921add9cb5ddee252021-06-01T00:00:00Zhttps://www.ace-eco.org/vol16/iss1/art10/https://doaj.org/toc/1712-6568Monitoring population trends for bird species in the Arctic and sub-Arctic can be difficult and cost prohibitive. Breeding populations of birds in these remote locations may be changing and have garnered much attention regarding their conservation. We analyzed data from bird lists (daily species observations) collected while conducting other targeted research to estimate trends in the probability of observing species at two sub-Arctic study sites. For Akimiski Island, Nunavut (52 species) we estimated positive trends with high confidence (95% credible limits do not include 0) for 14 species and negative trends with high confidence for 18. For Burntpoint Creek, Ontario (46 species) we estimated that 12 species had positive trends with high confidence and 12 had negative trends with high confidence. More than 60% of species at each site matched population trends for at least one of three larger geographic scales that we compared estimates with; regional, provincial and national. We hypothesized that trends may be due to climate change effects or because of effects related to intensive herbivory from nesting geese. Trends for most of the species where we made specific predictions from these hypotheses agreed with those predicted; however, well-designed experiments are needed to conclusively determine the driving mechanisms of these trends. Collecting bird list data while simultaneously conducting other research is not nearly as time consuming or expensive as targeted breeding bird surveys (e.g., point counts, call counts, nest searching, etc.). This analysis method may be of utility for other remote field study sites where gaps in trend data exist.Rodney W. BrookLisa A. PollockKenneth F. AbrahamGlen S. BrownResilience Alliancearticlebayesian logistic modelclimate changeovergrazinghabitat changelist lengthpopulation trendsPlant cultureSB1-1110Environmental sciencesGE1-350Plant ecologyQK900-989ENAvian Conservation and Ecology, Vol 16, Iss 1, p 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bayesian logistic model climate change overgrazing habitat change list length population trends Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989
spellingShingle	bayesian logistic model climate change overgrazing habitat change list length population trends Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989 Rodney W. Brook Lisa A. Pollock Kenneth F. Abraham Glen S. Brown Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
description	Monitoring population trends for bird species in the Arctic and sub-Arctic can be difficult and cost prohibitive. Breeding populations of birds in these remote locations may be changing and have garnered much attention regarding their conservation. We analyzed data from bird lists (daily species observations) collected while conducting other targeted research to estimate trends in the probability of observing species at two sub-Arctic study sites. For Akimiski Island, Nunavut (52 species) we estimated positive trends with high confidence (95% credible limits do not include 0) for 14 species and negative trends with high confidence for 18. For Burntpoint Creek, Ontario (46 species) we estimated that 12 species had positive trends with high confidence and 12 had negative trends with high confidence. More than 60% of species at each site matched population trends for at least one of three larger geographic scales that we compared estimates with; regional, provincial and national. We hypothesized that trends may be due to climate change effects or because of effects related to intensive herbivory from nesting geese. Trends for most of the species where we made specific predictions from these hypotheses agreed with those predicted; however, well-designed experiments are needed to conclusively determine the driving mechanisms of these trends. Collecting bird list data while simultaneously conducting other research is not nearly as time consuming or expensive as targeted breeding bird surveys (e.g., point counts, call counts, nest searching, etc.). This analysis method may be of utility for other remote field study sites where gaps in trend data exist.
format	article
author	Rodney W. Brook Lisa A. Pollock Kenneth F. Abraham Glen S. Brown
author_facet	Rodney W. Brook Lisa A. Pollock Kenneth F. Abraham Glen S. Brown
author_sort	Rodney W. Brook
title	Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
title_short	Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
title_full	Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
title_fullStr	Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
title_full_unstemmed	Bird trends from long-term observation data at sites in the Hudson Bay Lowlands
title_sort	bird trends from long-term observation data at sites in the hudson bay lowlands
publisher	Resilience Alliance
publishDate	2021
url	https://doaj.org/article/929ffb6fb2654d85921add9cb5ddee25
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Bird trends from long-term observation data at sites in the Hudson Bay Lowlands

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