I-DEEL: Inter-Disciplinary Ecology and Evolution Lab
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Preprints

Preprints are versions of manuscripts before they are submitted to publishers for peer-review. They are freely and openly accessible for everyone to read.

  1. Lagisz M, Aich U, Amin B, Rutkowska J, Sánchez-Mercado A, Lara CE, Nakagawa​​ S (2022) Little transparency and equity in scientific awards for early and mid-career researchers in ecology and evolution. EcoEvoRxiv
  2. Yang Y, Sánchez-Tójar A, O'Dea RE, Noble DWA, Koricheva J, Jennions MD, Parker TH, Lagisz M, Nakagawa S (2022) ​Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology. EcoEvoRxiv​​
  3. Lagisz M, Vasilakopoulou K, Bridge C, Santamouris M, Nakagawa S (2022) Rapid systematic reviews for synthesizing research on built environment. MetaArXiv
  4. Pottier P, Burke S, Drobniak S, Nakagawa S (2022) Methodological inconsistencies define thermal bottlenecks in fish life cycle: a comment on Dahlke et al. 2020. EcoEvoRxiv
  5. Yang Y, Lagisz M, Nakagawa S (2022) ​Decline effects are rare in ecology: Comment. EcoEvoRxiv
  6. Nakagawa S, Noble D, Lagisz M, Spake R, Viechtbauer W, Senior AM (2022) A robust and readily implementable method for the meta-analysis of response ratios with and without missing standard deviations. EcoEvoRxiv
  7. Anwer H, O'Dea RE, Mason D, Zajitschek S, Klinke A, Reid M, Hesselson D, Noble D, Morris M, Lagisz M, Nakagawa S (2022) The effects of an obesogenic diet on behaviour and cognition in zebrafish (Danio rerio): traits average, variability, repeatability, and behavioural syndromes. EcoEvoRxiv
  8. Culina A, Adriaensen F, Bailey LD, Burgess MD, Charmantier A, Cole EF, Eeva T, Matthysen E, Nater CR, Sheldon B, +105 authors  (2022) Connected data landscape of long-term ecological studies: the SPI-Birds data hub. EcoEvoRxiv
  9. Anwer H, Mason D, Zajitschek S, Hesselson D, Noble D, Morris M, Lagisz M, Nakagawa S (2022) Intergenerational effects of overfeeding on aversive learning in zebrafish (Danio rerio). EcoEvoRxiv
  10. Fraser H, Bush M, Wintle B, Mody F, Smith E, Hanea A, Gould E, Hemming V, Hamilton D, Rumpff L, +21 authors  (2022) ​Predicting reliability through structured expert elicitation with repliCATS (Collaborative Assessments for Trustworthy Science). MetaArXiv
  11. Pollo P, Nakagawa S, Kasumovic MM (2022) The better, the choosier: a meta-analysis on inter-individual variation of male mate choice. EcoEvoRxiv
  12. Tam J, Lagisz M, Cornwell W, Nakagawa S (2021) Quantifying research interests in 7,521 mammalian species with h-index: a case study. EcoEvoRxiv
  13. Yang Y, Hillebrand H, Lagisz M, Cleasby I, Nakagawa S (2021) Low statistical power and overestimated anthropogenic impacts, exacerbated by publication bias, dominate field studies in global change biology. EcoEvoRxiv
  14. Vendl C, Pottier P, Taylor MD, Braeunig J, Gibson MJ, Hesselson D, Neely GG, Lagisz M, Nakagawa S (2021) Thermal processing reduces PFAS concentrations in blue food – A systematic review and meta-analysis. EcoEvoRxiv
  15. Chin J, Nakagawa S, Lagisz M (2021) Where is the evidence in evidence-based law reform? MetaArXiv
  16. Anwer H, Morris M, Noble D, Nakagawa S, Lagisz M (2021) Transgenerational effects of obesogenic diets in rodents: a meta-analysis.  EcoEvoRxiv
  17. Foo YZ, O'Dea RE, Koricheva J, Nakagawa S, Lagisz M (2021) A practical guide to question formation, systematic searching and study screening for literature reviews in ecology and evolution. EcoEvoRxiv
  18. Nakagawa S, Lagisz M, Jennions MD, Koricheva J, Noble D, Parker TH, Sanchez-Tojar A, Yang Y, O'Dea RE (2021) Methods for testing publication bias in ecological and evolutionary meta-analyses. EcoEvoRxiv
  19. Anwer H, Mason D, Zajitschek S, Noble D, Hesselson D, Morris M, Lagisz M, Nakagawa S (2021) An efficient new assay for measuring zebrafish anxiety: tall tanks that better characterize between-individual differences. EcoEvoRxiv
  20. Atsumi K, Lagisz M, Nakagawa S (2021) Non-additive genetic effects induce novel phenotypic distributions in male mating traits of F1 hybrids. EcoEvoRxiv
  21. Nakagawa S, Senior AM, Viechtbauer W, Noble D (2021) An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment. EcoEvoRxiv
  22. Cinar O, Nakagawa S, Viechtbauer W (2021) Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny. EcoEvoRxiv
  23. Schroeder J, Dugdale HL, Nakagawa S, Sparks AM, Burke T (2021) Social genetic effects (IGE) and genetic intra- and intersexual genetic correlation contribute to the total heritable variance in parental care. EcoEvoRxiv
  24. O'Dea RE, Noble D, Nakagawa S (2021) Unifying individual differences in personality, predictability, and plasticity: a practical guide. EcoEvoRxiv
  25. Hennessy EA, Acabchuk R, Arnold PA, Dunn AG, Foo YZ, Johnson BT, Geange SR, Haddaway NR, Nakagawa S, Mapanga W, Mengersen K, Page MJ, Sanchez-Tojar A, Welch V, McGuinness LA (2021) Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact. MetaArXiv
  26. Kar F, Nakagawa S, Noble D (2021) Impact of Developmental Temperatures On The Repeatability of Thermal Plasticity in Metabolic Rate. EcoEvoRxiv
  27. Ralph A, Burke T, Nakagawa S, Sanchez-Tojar A, Schroeder J (2021) The causes and consequences of ornament variation in a natural population. EcoEvoRxiv
  28. Nakagawa S, Senior A, Viechtbauer W, Noble D (2021) An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment. EcoEvoRxiv
  29. Haddaway NR, Dunn AG, Nakagawa S (2021) A protocol for a Delphi-style workshop to design a minimum standard for data reporting in systematic reviews. EcoEvoRxiv
  30. Rutkowska J, Lagisz M, Bonduriansky R, Nakagawa S (2020) Mapping the past, present and future research landscape of paternal effects. EcoEvoRxiv
  31. Lagisz M, Samarasinghe G, Santamouris M, Yenneti K, Upadhyay AK, De La Peña Suarez F, Taunk B, Nakagawa S (2020) A visualized overview of systematic reviews and meta-analyses on low-carbon built environments: an evidence review map. EcoEvoRxiv
  32. Lagisz M, Zidar J, Nakagawa S, Neville V, Sorato E, Paul ES, Bateson M, Mendl M, Løvlie H (2020) Optimism, pessimism and judgement bias in animals: a systematic review and meta-analysis. MetaArViv
  33. Nakagawa S, Lagisz M, O'Dea RE, Rutkowska J, Yang Y, Noble D, Senior AM (2020) The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond. EcoEvoRxiv
  34. Lara CE, Holtmann B, Santos ESA, Nakagawa S (2020) Tongue spots of dunnock nestlings vary in number and position over time but exert no clear influence on parental allocation. EcoEvoRxiv
  35. Haddaway NR, Dunn AG, Nakagawa S (2020) A protocol for a Delphi-style workshop to design a minimum standard for data reporting in systematic reviews. EcoEvoRxiv
  36. Nakagawa S, Schielzeth H (2020) Coefficient of determination R2 and intra-class correlation coefficient ICC from generalized linear mixed-effects models revisited and expanded. EcoEvoRxiv
  37. Nosek BA, Corker KS, Krall T, Grasty FL, Brooks III RE, Mellor DT, Van Tuyl S, Gurdal G, Mboa T, +115 authors (2020) NSF 19-501 AccelNet Proposal: Community of Open Scholarship Grassroots Networks (COSGN). MetaArXiv
  38. Haddaway NR, Dunn AG, Nakagawa S (2020) A protocol for a Delphi-style workshop to design a minimum standard for data reporting in systematic reviews. OSF Preprints
  39. Mathot K, Dingemanse N, Nakagawa S (2020) The covariance between metabolic rate and behaviour varies across behaviours and thermal types: meta-analytic insights. EcoEvoRxiv
  40. Kar F, Nakagawa S, Friesen CR, Noble D (2020) Individual variation in thermal plasticity and its impact on mass-scaling. EcoEvoRxiv
  41. Sanchez-Tojar A, Moran NP, O'Dea RE, Reinhold K, Nakagawa S (2020) Illustrating the importance of meta-analysing variances alongside means in ecology and evolution. EcoEvoRxiv
  42. Lara CE, Holtmann B, Santos ESA, Nakagawa S (2020) Tongue spots of dunnock nestlings vary in number and position over time but exert no clear influence on parental allocation. EcoEvoRxiv
  43. Lara CE, Holtmann B, Santos ESA, Nakagawa S (2020) Parental feeding decisions in dunnocks from a resource availability perspective: assessing the role of nestling tongue spots and body size. EcoEvoRxiv
  44. Benjamin DJ, Berger J, Johannesson M, Nosek BA, Wagenmakers EJ, Berk R, Bollen K, Brembs B, Brown L, Camerer C, +62 authors (2020) Redefine statistical significance. PsyArXiv
  45. Lara CE, Taylor H, Holtmann B, Johnson S, Santos ESA, Gemmell N, Nakagawa S (2020) Dunnock social status correlates with sperm speed, but fast sperm does not always equal high fitness. EcoEvoRxiv
  46. O'Dea RE, Lagisz M, Hendry AP, Nakagawa S (2019) Developmental temperature affects phenotypic means and variability: a meta-analysis of fish data. EcoEvoRxiv
  47. Pick JL, Khwaja N, Spence MA, Ihle M, Nakagawa S (2019) Counter culture: Causes, extent and solutions of systematic bias in the analysis of behavioural counts. EcoEvoRxiv
  48. Nakagawa S, Samarasinghe G, Haddaway NR, Westgate M, O'Dea RE, Noble D, Lagisz M (2018) Research Weaving: Visualizing the Future of Research Synthesis. EcoEvoRxiv
  49. Parker TH, Greig E, Nakagawa S, Parra M, Dalisio A (2018) Subspecies status and methods explain strength of response to local versus foreign song by oscine birds in meta-analysis. EcoEvoRxiv
  50. Parker TH, Griffith S, Bronstein J, Fidler F, Foster S, Fraser H, Forstmeier W, Gurevitch J, Koricheva J, Seppelt R, Tingley M, Nakagawa S (2018) Empowering peer reviewers to improve transparency. EcoEvoRxiv
  51. Fraser H, Parker TH, Nakagawa S, Barnett A, Fidler F (2018) Questionable Research Practices in Ecology and Evolution. EcoEvoRxiv
  52. Sanchez-Tojar A, Nakagawa S, Sanchez-Fortun M, Martin DA, Ramani S, Girndt A, Bokony V, Kempenaers B, Liker A, Westneat D, Burke T, Schroeder J (2018) Meta-analysis challenges a textbook example of status signalling and demonstrates publication bias. bioRxiv
  53. Nakagawa S, de Villemereuil P (2018) A simple and general method for simultaneously accounting for phylogenetic and species sampling uncertainty via Rubin’s rules in comparative analysis. PeerJ
  54. Fraser H, Parker TH, Nakagawa S, Barnett A, Fidler F (2018) Questionable Research Practices in Ecology and Evolution. OSF Preprints
  55. Pick JL, Nakagawa S, Noble DWA (2018) Reproducible, flexible and high throughput data extraction from primary literature: The metaDigitise R package. bioRxiv
  56. Noble DWA, Nakagawa S (2018) Planned missing data design: stronger inferences, increased research efficiency and improved animal welfare in ecology and evolution. bioRxiv
  57. McGeoch MA, Latombe G, Andrew NR, Nakagawa S, Nipperess DA, Roige M, Marzinelli EM, Campbell AH, Verges A, Thomas T, Steinberg PD, Selwood KE, Hui C (2017)  The application of zeta diversity as a continuous measure of compositional change in ecology. bioRxiv
  58. Nakagawa S, Johnson PCD, Schielzeth H (2017) The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. bioRxiv
  59. de Villemereuil P, Morrissey MB, Nakagawa S, Schielzeth H (2017) Fixed effect variance and the estimation of the heritability: Issues and solutions. bioRxiv
  60. Santos ESA, Nakagawa S (2017) Facultative adjustment of paternal care in the face of female infidelity in dunnocks. bioRxiv
  61. Nakagawa S, Schielzeth H (2017) Extending R2 and intra-class correlation coefficient from generalized linear mixed-effects models: capturing and characterizing biological variation. bioRxiv
  62. Nakagawa S, Schielzeth H (2017) Coefficient of determination R2 and intra-class correlation coefficient ICC from generalized linear mixed-effects models revisited and expanded. bioRxiv
  63. de Villemereuil P, Schielzeth H, Nakagawa S, Morrissey M (2016) General methods for evolutionary quantitative genetic inference from generalised mixed models. bioRxiv
  64. de Villemereuil P, Schielzeth H, Nakagawa S, Morrissey M (2016) General methods for evolutionary quantitative genetic inference from generalised mixed models. bioRxiv
  65. Nakagawa S, de Villemereuil P (2015) A simple and general method for accounting for phylogenetic uncertainty via Rubin’s rules in comparative analysis. PeerJ

NOTE: Bold font indicates our research group members. # indicates equal contribution.
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Created by Losia Lagisz, last modified on June 24, 2015