Habitat selection by yellowhammers Emberiza citrinella on lowland farmland at two spatial scales: implications for conservation management

By Mark J. Whittingham, Ruth D. Swetnam, Jeremy D. Wilson, D. Chamberlain, R. Freckleton. 2005

203 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/d204360612b1590f2ccb151528fe1a220debaab9

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In Nature and Landscape Conservation

Citations in the corpus

Mixed biodiversity benefits of agri-environment schemes in five European countries. (2006, background): “However, farmland bird abundance is known to accurately and rapidly reflect differences in resource supply (Stephens et al. 2003) or habitat suitability for breeding (Whittingham et al. 2005).”
The consequences of checking for zero‐inflation and overdispersion in the analysis of count data (2019, methodology): “The model selection bias at issue here is not the better known model selection bias associated with deciding post hoc which variables to include in the model, for example, the model selection bias associated with stepwise regression (Hurvich & Tsai, 1990; Whittingham et al., 2005).”
BirdTrends 2014: trends in numbers, breeding success and survival for UK breeding birds (2014, background): “Whittingham et al. (2005) found that the local availability of rotational set-aside was a good predictor of sites chosen for breeding territories, which could reflect the benefits of both sparse vegetation (access to bare ground for foraging) and lack of pesticide use.”
Impact of landscape composition and configuration on forest specialist and generalist bird species in the fragmented Lacandona rainforest, Mexico (2015, methodology): “The set of models for which Rwi was 0.95 represents the models for which we have 95% confidence that the set contains the best approximating model out of our 16 candidate models (Burnham and Anderson, 2002; Whittingham et al., 2005).”
Chronic anthropogenic disturbance drives the biological impoverishment of the Brazilian Caatinga vegetation (2015, methodology): “The set of models for which Σwi was 0 95 represents the models for which we have 95% confidence that the set contains the best approximating model to the true model (Burnham & Anderson 2002; Whittingham et al. 2005).”
The effect of supplementary winter seed food on breeding populations of farmland birds: evidence from two large‐scale experiments (2007, background): “One recent study suggested that yellowhammers preferentially settle to breed adjacent to seedrich late-winter stubble or set-aside (Whittingham et al. 2005), but failed to account for these habitats’ value for breeding.”
Altering perceived predation risk and food availability: management prescriptions to benefit farmland birds on stubble fields (2006, background): “In the UK, availability of winter stubbles can help to increase subsequent breeding densities (Gillings et al . 2005; Whittingham et al . 2005 ).”
Why do we still use stepwise modelling in ecology and behaviour? (2006, background): “The key issue with the dataset we explored here (and another discussed elsewhere by Whittingham et al. 2005) is that the variables included in the analysis represent a small proportion of the possible variables that could have been included.”
Improving the biodiversity benefits of hedgerows: How physical characteristics and the proximity of foraging habitat affect the use of linear features by bats (2011, background): “This produces a selection probability (Rwi); the estimated probability that, of all predictors considered, the predictor in question appears in the best approximating model (Whittingham et al., 2005).”
Negative impact of traffic noise on avian reproductive success (2011, methodology): “We calculated for each explanatory factor the probability that it would be in the best approximating model using Akaike weights (see e.g. Whittingham et al. 2005; Garamszegi et al. 2009).”