Select Publications

Journal articles

Nakagawa S; Ockendon N; Gillespie DOS; Hatchwell BJ; Burke T, 2007, 'Assessing the function of house sparrows' bib size using a flexible meta-analysis method', Behavioral Ecology, 18, pp. 831 - 840, http://dx.doi.org/10.1093/beheco/arm050

Nakagawa S; Ockendon N; Gillespie DOS; Hatchwell BJ; Burke T, 2007, 'Does the badge of status influence parental care and investment in house sparrows? An experimental test', Oecologia, 153, pp. 749 - 760, http://dx.doi.org/10.1007/s00442-007-0765-4

Nakagawa S; Gillespie DOS; Hatchwell BJ; Burke T, 2007, 'Predictable males and unpredictable females: Sex difference in repeatability of parental care in a wild bird population', Journal of Evolutionary Biology, 20, pp. 1674 - 1681, http://dx.doi.org/10.1111/j.1420-9101.2007.01403.x

Nakagawa S; Foster TM, 2004, 'The case against retrospective statistical power analyses with an introduction to power analysis', Acta Ethologica, 7, pp. 103 - 108, http://dx.doi.org/10.1007/s10211-004-0095-z

Nakagawa S; Etheredge RJM; Foster TM; Sumpter CE; Temple W, 2004, 'The effects of changes in consequences on hens' performance in delayed-matching-to-sample tasks', Behavioural Processes, 67, pp. 441 - 451, http://dx.doi.org/10.1016/j.beproc.2004.07.005

Nakagawa S, 2004, 'A farewell to Bonferroni: The problems of low statistical power and publication bias', Behavioral Ecology, 15, pp. 1044 - 1045, http://dx.doi.org/10.1093/beheco/arh107

Nakagawa S, 2004, 'Is avian sex determination unique?: Clues from a warbler and from chickens', Trends in Genetics, 20, pp. 479 - 480, http://dx.doi.org/10.1016/j.tig.2004.07.010

Nakagawa S; Gemmell NJ; Burke T, 2004, 'Measuring vertebrate telomeres: Applications and limitations', Molecular Ecology, 13, pp. 2523 - 2533, http://dx.doi.org/10.1111/j.1365-294X.2004.02291.x

Nakagawa S; Waas JR, 2004, 'The effect of acoustic and visual priming stimuli on the reproductive behaviour of female zebra finches, Taeniopygia guttata', Acta Ethologica, 7, pp. 43 - 49, http://dx.doi.org/10.1007/s10211-004-0097-x

Nakagawa S; Waas JR, 2004, ''O sibling, where art thou?' - A review of avian sibling recognition with respect to the mammalian literature', Biological Reviews of the Cambridge Philosophical Society, 79, pp. 101 - 119, http://dx.doi.org/10.1017/S1464793103006249

Nakagawa S, 2004, 'Changes in house sparrow population size, breeding success and breeding pattern on Lundy', The Annual Report of the Lundy Field Society, http://www.lundy.org.uk/publications/volume.php?vol=54-18

Nakagawa S; Möstl E; Waas JR, 2003, 'Validation of an enzyme immunoassay to measure faecal glucocorticoid metabolites from Adélie penguins (Pygoscelis adeliae): A non-invasive tool for estimating stress?', Polar Biology, 26, pp. 491 - 493, http://dx.doi.org/10.1007/s00300-003-0506-z

Nakagawa S; Bannister TD; Jensen FR; McLean DA; Waas JR, 2002, 'Relatedness does not affect the mating effort of Eisenia fetida Sav. (Oligochaeta) despite evidence for outbreeding depression', Biology and Fertility of Soils, 35, pp. 390 - 392, http://dx.doi.org/10.1007/s00374-002-0473-5

Nakagawa S; Waas JR; Miyazaki M, 2001, 'Heart rate changes reveal that little blue penguin chicks (Eudyptula minor) can use vocal signatures to discriminate familiar from unfamiliar chicks', Behavioral Ecology and Sociobiology, 50, pp. 180 - 188, http://dx.doi.org/10.1007/s002650100355

Conference Abstracts

Mueller S; Adolfsson S; Senior AM; Kottler V; Pichler M; Schartl M; Nakagawa S; Lamatsch DK, 2019, 'Cytogenomics of a sex specific marker on the W chromosome of the invasive mosquitofish Gambusia affinis', in MOLECULAR CYTOGENETICS, BMC, Vol. 12, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000474609600179&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Reports

Upadhyay A; Nakagawa-Lagisz L; Samarasinghe G; Nakagawa S; De La Peña Suarez F; Twomey P, 2018, Do green-rated office buildings save operational energy? Rapid review of comparative evidence, SP0008e1, http://builtbetter.org/node/7555

Working Papers

Lagisz M; Samarasinghe G; Santamouris M; Yenneti K; Upadhyay AK; De La Peña Suarez F; Taunk B; Nakagawa S, 2019, A visualized overview of systematic reviews and meta-analyses on low-carbon built environments: an evidence review map, http://dx.doi.org10.31222/osf.io/d34v8, https://doi.org/10.31222/osf.io/d34v8

Preprints

Lagisz M; Westgate M; Kellie D; Nakagawa S, 2025, Going Global by Going Local: Impacts and Opportunities of Geographically Focused Data Integration, http://dx.doi.org/10.32942/x2fp76

Nakagawa S; Cornwell WK; Callaghan CT, 2025, Decoupling both local and global abundance from global range size, challenging the abundance-occupancy relationship in birds., http://dx.doi.org/10.7554/eLife.95857

Nakagawa S; Cornwell WK; Callaghan CT, 2025, Decoupling both local and global abundance from global range size: challenging the abundance-occupancy relationship in birds, http://dx.doi.org/10.7554/elife.95857.2

Wang J; Nakagawa S; Wang J; Stewart R; Florea A; Dunham RA; Ling F; Wang G; Liu L; Robledo D, 2025, Evidence that genome editing is preferable to transgenesis for enhancing animal traits, http://dx.doi.org/10.1101/2025.04.25.650727

Sanghvi K; Dean R; Nakagawa S; Reinhardt K; Sepil I; Vega-Trejo R, 2025, Sperm storage reduces sperm and embryo quality in animals, http://dx.doi.org/10.1101/2025.04.10.647966

Nakagawa S; Westneat D; Mizuno A; Araya Ajoy Y; Dochtermann N; Laskowski K; Pick J; Réale D; Williams C; Wright J; Schielzeth H, 2025, Understanding different types of repeatability and intra-class correlation for an analysis of biological variation, http://dx.doi.org/10.32942/x22d1r

Pollo P; Drobniak S; Haselimashhadi H; Lagisz M; Mizuno A; Noble D; Wilson L; Nakagawa S, 2025, Beyond sex differences in mean: meta-analysis of differences in skewness, kurtosis, and correlation, http://dx.doi.org/10.32942/x20k9w

Nakagawa S; Mizuno A; Williams C; Lagisz M; Yang Y; Drobniak S, 2025, Quantifying macro-evolutionary patterns of trait mean and variance with phylogenetic location-scale models, http://dx.doi.org/10.32942/x2xs7k

Martinig A; Burk S; Drobniak S; Perry I; Morrison K; Petersohn M; Nakagawa S; Pollo P; Ricolfi L; Williams C; Chhen A; Mizuno A; Tam J; Yang Y; de Jong J; Ceccacci A; Cuadros S; Lagisz M, 2025, Dragon Kill Points: applying a transparent working template to relieve authorship stress, http://dx.doi.org/10.32942/x2w05k

Pottier P; Oh R; Pollo P; Rivera-Villanueva AN; Yang Y; Varon S; Longo A; Burke S; Lin H-Y; Valdebenito J; Amano T; Drobniak S; Nakagawa S, 2025, AmphiTherm: a comprehensive database of amphibian thermal tolerance and preference, http://dx.doi.org/10.32942/x2hw6h

Pollo P; Martinig A; Mizuno A; Morrison K; Pottier P; Ricolfi L; Tam J; Williams C; Yang Y; Drobniak S; Lagisz M; Nakagawa S, 2025, Harnessing meta-analyses’ insights in ecology and evolution research, http://dx.doi.org/10.32942/x2pw5p

Mizuno A; Drobniak S; Williams C; Lagisz M; Nakagawa S, 2025, Promoting the use of phylogenetic multinomial generalised mixed-effects model to understand the evolution of discrete traits, http://dx.doi.org/10.32942/x2ss5k

Yang Y; Liu M; Lagisz M; Nakagawa S, 2025, Catalysing mathematical, computing, and statistical innovation towards applied sciences, http://dx.doi.org/10.31222/osf.io/6pjbc_v1

Nakagawa S; Mizuno A; Morrison K; Ricolfi L; Williams C; Drobniak S; Lagisz M; Yang Y, 2025, Location-scale Meta-analysis and Meta-regression as a Tool to Capture Large-scale Changes in Biological and Methodological Heterogeneity: a Spotlight on Heteroscedasticity, http://dx.doi.org/10.32942/x2263f

, 2024, A systematic review and meta-analysis of eyespot anti-predator mechanisms, http://dx.doi.org/10.7554/eLife.96338

Yang Y; Noble DWA; Senior AM; Lagisz M; Nakagawa S, 2024, Interpreting prediction intervals and distributions for decoding biological generality in meta-analyses, http://dx.doi.org/10.1101/2024.09.10.612386

Mizuno A; Lagisz M; Pollo P; Yang Y; Soma M; Nakagawa S, 2024, A systematic review and meta-analysis of anti-predator mechanisms of eyespots: conspicuous pattern vs eye mimicry, http://dx.doi.org/10.7554/elife.96338.2

Macartney E; Burke S; Pottier P; Hamoudi Z; Hart C; Ahmed R; Lin YQ; Neely G; Drobniak S; Nakagawa S, 2024, Sex-specific effects of social environment on behaviour and their correlations in Drosophila melanogaster, http://dx.doi.org/10.22541/au.172514069.94507194/v1

Mizuno A; Lagisz M; Pollo P; Yang Y; Soma M; Nakagawa S, 2024, A systematic review and meta-analysis of anti-predator mechanisms of eyespots: conspicuous pattern vs eye mimicry, http://dx.doi.org/10.7554/elife.96338.1

Yang Y; Williams C; Senior AM; Morrison K; Ricolfi L; Pan J; Lagisz M; Nakagawa S, 2024, Bivariate multilevel meta-analysis of log response ratio and standardized mean difference for robust and reproducible environmental and biological sciences, http://dx.doi.org/10.1101/2024.05.13.594019

Nakagawa S; Lagisz M, 2024, The ABC of academic writing: non-native speakers’ perspective, http://dx.doi.org/10.31219/osf.io/qg45w

Lagisz M; Bairos-Novak K; Martinig A; Bertram M; Mizuno A; Sabet S; Paquet M; Santana M; Thoré E; Trubanová N; Rutkowska J; Orr J; Takola E; Yang Y; Pottier P; Gomes D; Chan Y-C; Onoja Akogwu C; Drobniak S; Nakagawa S, 2024, Priced out of belonging? Insufficient concessions on membership fees across international societies in ecology and evolution, http://dx.doi.org/10.32942/x2z90d

Hang Chan AH; Putra P; Schupp H; Köchling J; Straßheim J; Renner B; Schroeder J; Pearse W; Nakagawa S; Burke T; Griesser M; Meltzer A; Lubrano S; Kano F, 2024, YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos, http://dx.doi.org/10.1101/2024.08.26.609387

Yang Y; Lagisz M; Nakagawa S, 2023, Enriching meta-analyses through scoping review, bibliometrics, and alternative impact metrics: Visualizing study characteristics, hidden risk of bias, societal influence, and research translation, http://arxiv.org/abs/2312.01643v1

Drobniak SM; Lagisz M; Yang Y; Nakagawa S, 2023, Realism and robustness require increased sample size when studying both sexes, http://dx.doi.org/10.31219/osf.io/m7cqz

Sanghvi K; Vega-Trejo R; Nakagawa S; Gascoigne SJL; Johnson S; Salguero-Gómez R; Pizzari T; Sepil I, 2023, No general effects of advancing male age on ejaculates: a meta-analysis across the animal kingdom, http://dx.doi.org/10.1101/2023.04.14.536443

Nakagawa S; Lagisz M; Yang Y; Drobniak SM, 2023, Right Power Balance: Better Study Design but Less Emphasis on Power Would Improve Efficacy and Equity in Science, http://dx.doi.org/10.31219/osf.io/h7ufg

Popovic G; Mason TJ; Marques TA; Potts J; Drobniak SM; Joo R; Altwegg R; Burns CCI; McCarthy MA; Johnston A; Nakagawa S; McMillan L; Devarajan K; Taggart PL; Wunderlich AC; Mair MM; Martínez-Lanfranco JA; Lagisz M; Pottier PP, 2023, Four principles for improved statistical ecology, http://arxiv.org/abs/2302.01528v1

Lagisz M; Rutkowska J; Aich U; Ross R; Santana M; Wang J; Trubanová N; Page M; Pua AAY; Yang Y; Amin B; Martinig AR; Barnett A; Surendran A; Zhang J; Borg D; Elisee J; Wrightson J; Nakagawa S, 2023, Best Paper awards lack transparency, inclusivity, and support for Open Science, http://dx.doi.org/10.1101/2023.12.11.571170

Pottier P; Lagisz M; Burke S; Drobniak S; Downing P; Macartney E; Martinig AR; Mizuno A; Morrison K; Pollo P; Ricolfi L; Tam J; Williams C; Yang Y; Nakagawa S, 2023, Keywords to success: a practical guide to maximise the visibility and impact of academic papers, http://dx.doi.org/10.1101/2023.10.02.559861

Chin J; Growns B; Sebastian J; Page MJ; Nakagawa S, 2022, The transparency and reproducibility of systematic reviews in forensic science, http://dx.doi.org/10.31222/osf.io/rp6y4

Lagisz M; Aich U; Amin B; Rutkowska J; Sánchez-Mercado A; Lara C; Nakagawa S, 2022, Little transparency and equity in scientific awards for early and mid-career researchers in ecology and evolution, http://dx.doi.org/10.32942/osf.io/82wuh

Yang Y; Sánchez-Tójar A; O'Dea R; Noble D; Koricheva J; Jennions M; Parker T; 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, http://dx.doi.org/10.32942/osf.io/97nv6


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