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AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

Burnham, Kenneth P., Anderson, David R., Huyvaert, Kathryn P.·2011·Behavioral Ecology and Sociobiology

DOI 10.1007/s00265-010-1029-6

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Background
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Background
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Method
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Method
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Method
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Method
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Method
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“× E + T + P +M + (1|TDWG1), interpreted in a more continuous fashion with models having more or less support (Burnham et al. 2011).”
Background
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“Akaike information criterion (AIC) model selection was applied to reference effects of individual-specific fitness-related information encoded in the AGS, against the characteristics of the responder [53, 54].”
Method
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“Model selection was based on a minimization of the Corrected Akaike Information Criterion (AICc) [36–38] and diagnostic checks.”
Method
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“…2ve Self-direction (independent thought and action-choosing, creating and exploring) 2ve the ‘best’ model for predictive purposes, according to Burnham et al. (2011), the top 10 models produced in the model building summary (not reproduced here) are all potential candidate models for theory…”
BackgroundInfluential
Apparent redox potential discontinuity (aRPD) depth as a relative measure of sediment oxygen content and habitat quality
Gerwing, T. G., Gerwing, A. M. A., Hamilton, D. J., & Barbeau, M. A. (2015) · International Journal of Sediment Research · doi:10.1016/s1001-6279(15)60008-7 · Cited by 30
Dancing to her own beat: honey bee foragers communicate via individually calibrated waggle dances
Schürch, R., Ratnieks, F. L. W., Samuelson, A. E., & Couvillon, M. J. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.134874 · Cited by 30
“From the latter we calculated evidence ratios (Burnham et al., 2011), which we used for final model selection.”
Method
Contribution of transparent exopolymeric particles (TEP) to estuarine particulate organic carbon pool
Annane, S., St-Amand, L., Starr, M., Pelletier, É., & Ferreyra, G. A. (2015) · Marine Ecology Progress Series · doi:10.3354/meps11294 · Cited by 30
“Models are ranked from the minimum AIC (minimum loss of information) to maximum (maximum loss of information) Annane et al.: Contribution of TEP to carbon pool 2004, Underwood et al. 2004).”
MethodInfluential
Attitudes Towards Forest Elephant Conservation Around a Protected Area in Northern Congo
Breuer, T., Nsonsi, F., Heymans, J., & Diamouangana, J. (2017) · Conservation and Society · doi:10.4103/0972-4923.201394 · Cited by 36
“We obtained the best fit GLM using Akaike´s information criteria (AICc) (Burnham et al. 2011) by applying the dredge function in the MuMin package (Barton 2015) and present the top selected sub-models with a threshold criterion of ΔAICc <2 as well as relative importance (>50”
Method
Hypoxia and hypothermia as rival agents of selection driving the evolution of viviparity in lizards
Pincheira‐Donoso, D., Jara, M., Reaney, A. M., García‐Roa, R., Saldarriaga‐Córdoba, M., & Hodgson, D. J. (2017) · Global Ecology and Biogeography · doi:10.1111/geb.12626 · Cited by 30
A Rapidly Expanding Macroalga Acts as a Foundational Species Providing Trophic Support and Habitat in the South Pacific
Bittick, S. J., Clausing, R. J., Fong, C. R., Scoma, S. R., & Fong, P. (2018) · Ecosystems · doi:10.1007/s10021-018-0261-1 · Cited by 30
Contaminants in Atlantic walruses in Svalbard part 1: Relationships between exposure, diet and pathogen prevalence
Scotter, S. E., Tryland, M., Nymo, I. H., Hanssen, L., Harju, M., Lydersen, C., Kovacs, K. M., Klein, J., Fisk, A. T., & Routti, H. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.10.001 · Cited by 30
“To prevent the inclusion of confounding predictor variables in the same model (Burnham et al., 2011), correlation coefficients were used to identify predictor variables that were highly correlated.”
Method
Disease implications of animal social network structure: a synthesis across social systemsPreprint
Sah, P., Mann, J., & Bansal, S. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/106633 · Cited by 30
Reconstructing the diffusion of Middle English schwa deletion
Baumann, A., Prömer, C., & Ritt, N. (2020) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.26346/1120-2726-154 · Cited by 29
Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates
Şan, M., Nacar, S., Kankal, M., & Bayram, A. (2022) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-022-02345-5 · Cited by 29
Lake browning counteracts cyanobacteria responses to nutrients: Evidence from phytoplankton dynamics in large enclosure experiments and comprehensive observational data
Solheim, A. L., Gundersen, H., Mischke, U., Skjelbred, B., Nejstgaard, J. C., Guislain, A. L. N., Sperfeld, E., Giling, D. P., Haande, S., Ballot, A., et al. (2023) · Global Change Biology · doi:10.1111/gcb.17013 · Cited by 29
“The Akaike Information Criterion corrected for small sample sizes (AICc; Burnham et al., 2011) was used to select the most parsimonious among the candidate models.”
Method
Life-History Differences in Age-Dependent Expressions of Multiple Ornaments and Behaviors in a Lekking Bird
Kervinen, M., Lebigre, C., Alatalo, R. V., Siitari, H., & Soulsbury, C. D. (2014) · The American Naturalist · doi:10.1086/679012 · Cited by 29
“Due to model uncertainty, model averaging was used to combine the effects of the best candidate models within a corrected AIC difference (DAICc) of ≤7 (Burnham et al. 2011; Grueber et al. 2011) with the R package MuMIn (ver.”
Method
Influence of Early Reproductive Success on Longevity and Late Reproductive Success in an Alpine Ungulate
Panagakis, A., Hamel, S., & Côté, S. D. (2017) · The American Naturalist · doi:10.1086/691388 · Cited by 31
“We directly compared the best-supported model with the next closest competing models that received statistical support by computing their evidence ratio (Burnham et al. 2011) using the ratio of their mean AICc weights.”
The effect of social connections on the discovery of multiple hidden food patches in a bird species
Tóth, Z., Tuliozi, B., Baldan, D., Hoi, H., & Griggio, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-00929-8 · Cited by 29
Dispersal in the Urban Matrix: Assessing the Influence of Landscape Permeability on the Settlement Patterns of Breeding Songbirds
Evans, B., Kilpatrick, A. M., Hurlbert, A. H., & Marra, P. P. (2017) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2017.00063 · Cited by 30
“We evaluated support for the effect of permeability on settlement locations by comparing1AICc scores and evidence ratios of models with and without this variable (see Arnold, 2010; Burnham et al., 2011).”
Method
Are the surface areas of the gills and body involved with changing metabolic scaling with temperature?
Li, G., Lv, X. H., Zhou, J., Shen, C., Xia, D., Xie, H., & Luo, Y. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.174474 · Cited by 29
“Akaike’s information criterion (AIC) was used to examine the quality of models (Burnham et al., 2011; Lolli et al., 2017; Packard, 2017).”
Method
Estimating mortality rates among passerines caught for ringing with mist nets using data from previously ringed birds
Clewley, G. D., Robinson, R. A., & Clark, J. A. (2018) · Ecology and Evolution · doi:10.1002/ece3.4032 · Cited by 28
Island biogeography theory explains the genetic diversity of a fragmented rock ptarmigan ( Lagopus muta ) population
Costanzi, J., & Steifetten, Ø. (2019) · Ecology and Evolution · doi:10.1002/ece3.5007 · Cited by 29
Nest defence behavioural reaction norms: testing life-history and parental investment theory predictions
Thys, B., Lambreghts, Y., Pinxten, R., & Eens, M. (2019) · Royal Society Open Science · doi:10.1098/rsos.182180 · Cited by 29
Foliar water‐uptake strategies are related to leaf water status and gas exchange in plants from a ferruginous rupestrian field
Boanares, D., Kozovits, A. R., de Lemos-Filho, J. P., Isaías, R. M. D. S., Solar, R., Duarte, A. A., Vilas‐Boas, T., & França, M. G. C. (2019) · American Journal of Botany · doi:10.1002/ajb2.1322 · Cited by 29
Socioeconomic and biophysical determinants of wire-snare poaching incidence and behaviour in the Boland Region of South Africa
Nieman, W. A., Leslie, A. J., Wilkinson, A., & Wossler, T. C. (2019) · Journal for Nature Conservation · doi:10.1016/j.jnc.2019.125738 · Cited by 30
An analysis of avian vocal performance at the note and song levels
Logue, D. M., Sheppard, J. A., Walton, B., Brinkman, B. E., & Medina, O. J. (2019) · Bioacoustics · doi:10.1080/09524622.2019.1674693 · Cited by 29
Climate warming may affect the optimal timing of reproduction for migratory geese differently in the low and high Arctic
Lameris, T. K., de Jong, M. E., Boom, M. P., van der Jeugd, H. P., Litvin, K. E., Loonen, M. J. J. E., Nolet, B. A., & Prop, J. (2019) · Oecologia · doi:10.1007/s00442-019-04533-7 · Cited by 30
Multimodal travel behaviour, walkability indices, and social mobility: how neighbourhood walkability, income and household characteristics guide walking, biking & transit decisions
Riggs, W. W., & Sethi, S. A. (2019) · Local Environment · doi:10.1080/13549839.2019.1698529 · Cited by 29
Environmental drivers and indicators of change in habitat and fish assemblages within a climate change hotspot
Davis, T. R., Cadiou, G., Champion, C., & Coleman, M. A. (2020) · Regional Studies in Marine Science · doi:10.1016/j.rsma.2020.101295 · Cited by 32
Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species
Wiltshire, K. H., & Tanner, J. E. (2020) · Ecological Modelling · doi:10.1016/j.ecolmodel.2020.109071 · Cited by 29
Applying a Low Cost, Mini Remotely Operated Vehicle (ROV) to Assess an Ecological Baseline of an Indigenous Seascape in Canada
Buscher, E., Mathews, D. L., Bryce, C., Bryce, K., Joseph, D., & Ban, N. C. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00669 · Cited by 29
Dispersal and adaptive radiation of Bidens (Compositae) across the remote archipelagoes of Polynesia
Knope, M. L., Funk, V. A., Johnson, M. A., Wagner, W. L., Datlof, E. M., Johnson, G. P., Crawford, D. J., Bonifacino, J. M., Morden, C. W., Lorence, D. H., et al. (2020) · Journal of Systematics and Evolution · doi:10.1111/jse.12704 · Cited by 29
“Of the 12 models evaluated, three were considered plausible on the basis of ΔAIC values< 7 (Burnham et al., 2010), and these included the DEC+ j, DEC+ j+ x, and DIVA+ j+ x”
Method
Coral larval recruitment in north-western Australia predicted by regional and local conditions
Thomson, D. P., Babcock, R. C., Evans, R. D., Feng, M., Moustaka, M., Orr, M., Slawinski, D., Wilson, S. K., & Hoey, A. S. (2021) · Marine Environmental Research · doi:10.1016/j.marenvres.2021.105318 · Cited by 29
Vibrational noise from wind energy‐turbines negatively impacts earthworm abundance
Velilla, E., Collinson, E., Bellato, L., Berg, M. P., & Halfwerk, W. H. (2021) · Oikos · doi:10.1111/oik.08166 · Cited by 29

Authors: Burnham, K. P., Anderson, D. R., & Huyvaert, K. P.
Affiliations: Colorado State University (US)
Corresponding author: Burnham, Kenneth P.
ORCID: Huyvaert, Kathryn P.
Venue: Behavioral Ecology and Sociobiology
Publisher: Springer Science and Business Media LLC
Published: 2010-08-18
Volume: 65
Issue: 1
Pages: 23-35
ISSN: 0340-5443 (ISSN-L)
1432-0762
DOI: 10.1007/s00265-010-1029-6
OpenAlex: W2096650374
Semantic Scholar: 33e08c84858e01d75d94592e03272dd4073316ff
Cited by: 4,104
References: 95
Citations by year: 2026: 228 · 2025: 300 · 2024: 327 · 2023: 365 · 2022: 358 · 2021: 434 · 2020: 404 · 2019: 335 · 2018: 340 · 2017: 251 · 2016: 239 · 2015: 192 · 2014: 154 · 2013: 98 · 2012: 53
FWCI: 44.95
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Behavioral Ecology and Sociobiology (publishedVersion)
Funders: Colorado State University
Innovative Research Group Project of the National Natural Science Foundation of China
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords: AIC model selection, multi-model inference, alternative hypothesis, hypothesis testing, behavioral ecology, statistical inference, probability models

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AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

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