Modelling population changes using data from different surveys: the Common Birds Census and the Breeding Bird Survey

By S. Freeman, D. Noble, Stuart E. Newson, S. Baillie. 2007

95 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/b95a2beee71806ccef345587bba1be2a1130f611

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In Ecology

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Citations in the corpus

Estimating bird abundance: making methods work (2008, background): “However, the UK Breeding Bird Survey is a line transect survey conducted by volunteers, in which a stratified random sample of 1km squares is selected.”
Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales (2014, methodology): “The indices of population size (yt) are estimated using a generalized linear model (GLM) in which the (log) number of birds recorded in each site is assumed to be Poisson-distributed and a function of two fixed factors: site and year (Freeman et al. 2007b).”
Deep convolutional neural network based species recognition for wild animal monitoring (2014, background): “One exception is the bird-watching networks, including Breeding Bird Survey [3], E-bird [4], and Christmas Bird Counts [5], which engage millions of citizens across the country today to report local population trends of bird species [6].”
Cats about town: is predation by free‐ranging pet cats Felis catus likely to affect urban bird populations? (2008, methodology): “…and productivity Breeding bird density in selected 1-km squares has been measured annually in the city of Bristol for a number of years (e.g. Bland 2001) following the methodology of the British Trust for Ornithology’s (BTO) Breeding Bird Survey (Gregory & Baillie 1998, Freeman et al. 2007).”
The geometric mean of relative abundance indices : a biodiversity measure with a difference (2011, methodology): “We consider data from the British Breeding Bird Survey (BBS) for the years 1994–2008 (Newson et al. 2005, 2008, Freeman et al. 2007).”
Realising the full potential of citizen science monitoring programs (2013, background): “473 We are just beginning to see the multiple benefits of using data from citizen science programs to monitor 474 changes in the environment (Freeman et al. 2007; Jiguet et al. 2005; Link et al. 2008; Zuckerberg et al. 2009).”