By Professor Shinichi Nakagawa

Preprints

Williams C; McGillycuddy M; Brooks M; Bolker BM; Mizuno A; Yang Y; Viechtbauer W; Warton DI; Nakagawa S, 2026, Meta-analysis with the glmmTMB R package, http://dx.doi.org/10.48550/arxiv.2604.04084

Cerqueira G; Santos E; Holtmann B; Lara C; Nakagawa S; Macedo-Rego R, 2026, The intensity of sexual selection and the absence of assortative mating patterns in Prunella modularis (Aves: Passeriformes), http://dx.doi.org/10.32942/x2bq2q

Wilkinson DP; Mody F; Burgman M; Bush M; Clarke B; Fraser H; Gould E; Gray CT; Groenewegen R; Hamilton DG; Hanea A; Hemming V; Hoekstra R; Kambouris S; Marcoci A; Nakagawa S; O'Dea RE; Parker TH; Pearson R; Rumpff L; Singleton Thorn F; Smith ET; van Ravenzwaaij D; Vazire S; Vercammen A; Vesk PA; Willcox A; Wintle B; Fidler F; Poulis R, 2026, repliCATS-SCORE: Elicited human predictions of social and behavioural science replicability, http://dx.doi.org/10.31222/osf.io/hj9ex_v1

Nakagawa S; Mizuno A; Williams C; Lagisz M; O'Dea R; Noble D; Senior A; Lundgren E; Ortega S, 2026, A new effect size for meta-analysis of magnitude: lnM, http://dx.doi.org/10.32942/x24666

Nakagawa S; Mizuno A; Dinnage R; Purgar M; Sosiak C; Poo Hernandez S; Gross I; Lundgren E; Lagisz M; Santos E; Ortega S, 2026, Choosing the Response Matrix: Generalised Linear Latent Variable Models for Multivariate Ecology and Evolution, http://dx.doi.org/10.32942/x2wm31

Drobniak S; Macartney E; Burke S; Pottier P; Vendl C; Hamoudi Z; Hart C; Ahmed R; Qi Lin Y; Lagisz M; Neely G; Nakagawa S, 2026, Heritabilities and genetic correlations of Drosophila melanogaster locomotory behaviour traits: a high-throughput phenotyping approach, http://dx.doi.org/10.32942/x27h4g

Mizuno A; Lundgren E; Drobniak S; Callaghan C; Santos E; Lagisz M; Ortega S; Lin X; Nakagawa S, 2026, Interspecific Bergmann’s rule pattern in birds persists despite seasonal migration, http://dx.doi.org/10.32942/x2fx0z

Pottier P; Dougherty L; Vasudeva R; Berger D; Ramm S; Canal Domenech B; Cole B; Drobniak S; Graziano M; Lüpold S; Meena A; Pilakouta N; Schou M; Simões P; Svensson E; Tuni C; Nakagawa S; Fricke C, 2026, Life-history traits do not always evolve in response to changing thermal environments, http://dx.doi.org/10.32942/x20q2m

Lacza H; Mizuno A; Williams C; Lagisz M; Nakagawa S, 2026, One dataset, four meta-analyses: synthesising mean effects, within-population variability, and between-population heterogeneity in ecology, http://dx.doi.org/10.32942/x2jq0t

Ivimey-Cook E; Bairos-Novak K; Morillo D; Nakagawa S; Sharapi J; Takola E; Pick J, 2026, Open Code in Ecology and Evolutionary Biology: An Evidence-Based Appraisal by SORTEE, http://dx.doi.org/10.32942/x27d4f

Pick J; Takola E; Bairos-Novak K; Ivimey-Cook E; Morillo D; Nakagawa S; Sharapi J, 2026, Pre-registration and Registered Reports in Ecology and Evolutionary Biology: An Evidence-Based Appraisal by SORTEE, http://dx.doi.org/10.32942/x2c37q

Nakagawa S; Ortega S; Mizuno A; Santos E; Lagisz M; Jain B; Celeste JJ; Poo Hernandez S, 2026, prepR4pcm: An R Package for Preparing Data and Trees for Phylo- genetic Comparative Methods, http://dx.doi.org/10.32942/x2468z

Vidić R; Chatelain M; Smith O; Szulkin M; Zanko D; Lussier N; Mizuno A; Dominoni D; Visser M; Nakagawa S; Culina A, 2026, Synthesis of Anthropogenic Impacts on Birds - Systematic Map and Bibliometric Analysis of Meta-Analyses, http://dx.doi.org/10.32942/x2h96n

Poo Hernandez S; Santos E; Ortega S; Mizuno A; Young S; Lagisz M; Nakagawa S, 2026, The first systematic map of evidence syntheses on the use of artificial intelligence in ecology, http://dx.doi.org/10.32942/x2vt11

Alaoui A; Cobey KD; Armond ACV; Nakagawa S; Bah F; Moher D; Desai P; Littlewood J, 2026, Understanding Reproducibility in the Canadian Research Ecosystem: A cross-sectional survey, http://dx.doi.org/10.31222/osf.io/ezgj5_v1

Lagisz M; Gownaris N; Thoré E; Trubanová N; Byrne I; Rutkowska J; Krasnow R; Martinig A; Osmolovsky I; Tariel-Adam J; Balti H; Xian Z; Everingham S; Bairos-Novak K; Xirocostas Z; Super L; Asefa E; Chan Y-C; Zagrodzka Z; Onoja Akogwu C; Paquet M; Batterton B; Long-Fox B; Sabet S; Santana M; Wang J; Wascher C; Mizuno A; Purgar M; Bertram M; Qiao Y; Nakagawa S, 2026, Who leads diversity efforts in science? Evidence of minority tax in DEI committees of international learned societies in Ecology and Evolutionary Biology, http://dx.doi.org/10.32942/x29m10

Nakagawa S; Mizuno A; Williams C; Ortega S; Drobniak SM; Lagisz M; Yang Y; Senior AM; Noble DWA; Lundgren E, 2025, Mastering an Accurate and Generalizable Simulation-Based Method to Obtain Bias-corrected Point Estimates and Sampling Variance for Any Effect Sizes, http://dx.doi.org/10.48550/arxiv.2510.27519

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

Morrison K; Lagisz M; Liu M; Santana MS; Nakagawa S; Yang Y, 2025, A Meta-epidemiological study of the Diversity, Transparency and Accessibility of PRISMA extension development, http://dx.doi.org/10.31222/osf.io/z2wpv_v1

Pottier P; Oh R; Pollo P; Rivera-Villanueva N; 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; 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

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

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

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

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

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

Morrison K; Pottier P; Pollo P; Ricolfi L; Williams C; Yang Y; Beillouin D; Cardoso SJ; Ferreira V; Gallagher B; Gan J; Hao G; Keikha M; Kozlowsky-Suzuki B; M KK; Latterini F; Leverkus A; Macartney E; Manrique SM; Martinig AR; Mizuno A; Nanayakkara S; Ntzani E; Ouédraogo D-Y; Purssell E; Simpson Z; Sleight H; Woon KS; Xia Z; Ghannad M; Grames E; Hennessy EA; IntHout J; Moher D; O'Dea R; Page M; Whaley P; Lagisz M; Nakagawa S, 2025, MATES: A tool for evaluating the quality of reporting of meta-analyses, http://dx.doi.org/10.31222/osf.io/n3cta_v2

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

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

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

Ivimey-Cook E; Culina A; Dimri S; Grainger M; Kar F; Lagisz M; Moran N; Nakagawa S; Roche D; Sanchez-Tojar A; Windecker S; Pick J, 2025, TADA! Simple guidelines to improve code sharing, http://dx.doi.org/10.32942/x2d93k

Meehan K; Class B; Nakagawa S; Foroughirad V; Mann J; Frere C, 2025, The age of change: social aging in dolphins, http://dx.doi.org/10.32942/x2kw8w

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

Lagisz M; Mizuno A; Morrison K; Pollo P; Ricolfi L; Yang Y; Nakagawa S, 2025, Using Elicit AI research assistant for data extraction in systematic reviews: a feasibility study across environmental and life sciences, http://dx.doi.org/10.32942/x2f346

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

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

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

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

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

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, https://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

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://dx.doi.org/10.48550/arxiv.2302.01528

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

Yang Y; Lagisz M; Nakagawa S, 2022, Decline effects are rare in ecology: Comment, http://dx.doi.org/10.32942/osf.io/qc7bx

Nakagawa S; Noble D; Lagisz M; Spake R; Viechtbauer W; Senior A, 2022, A robust and readily implementable method for the meta-analysis of response ratios with and without missing standard deviations, http://dx.doi.org/10.32942/osf.io/7thx9

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), http://dx.doi.org/10.32942/osf.io/df69c

Anwer H; O'Dea R; Mason D; Zajitschek S; Klinke A; Reid M; Hesselson D; Noble D; Morris M; Lagisz M, 2022, The effects of an obesogenic diet on behaviour and cognition in zebrafish (Danio rerio): traits average, variability, repeatability, and behavioural syndromes, http://dx.doi.org/10.32942/osf.io/ewq64

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