the nature portfolio aims to enhance the reproducibility of published research by promoting consistency and transparency in reporting. this summary outlines key requirements for statistical analysis, software and code availability, data accessibility, and ethical considerations. for statistical reporting, the following must be included: sample size, whether measurements were taken from distinct samples, statistical tests and their type (one- or two-sided), covariates tested, assumptions or corrections, statistical parameters, test statistics, effect sizes, and p-values. for bayesian analysis, information on priors and mcmc settings is required. for hierarchical designs, appropriate test levels and full reporting of outcomes are needed. effect sizes should be estimated and described. software and code: custom algorithms or software must be made available to editors and reviewers, preferably in a community repository. data availability: all manuscripts must include a data availability statement, providing accession codes, restrictions, and details on publicly available datasets. source data can be obtained from the corresponding authors upon request. research involving human participants, data, or biological material: no human participants were involved in this study. reporting on sex, gender, race, ethnicity, or other socially relevant groupings is not applicable. population characteristics, recruitment, and ethics oversight are not applicable. field-specific reporting: the study falls under ecological, evolutionary, and environmental sciences. field work was not involved. specific materials, systems, and methods are not relevant to this study.the nature portfolio aims to enhance the reproducibility of published research by promoting consistency and transparency in reporting. this summary outlines key requirements for statistical analysis, software and code availability, data accessibility, and ethical considerations. for statistical reporting, the following must be included: sample size, whether measurements were taken from distinct samples, statistical tests and their type (one- or two-sided), covariates tested, assumptions or corrections, statistical parameters, test statistics, effect sizes, and p-values. for bayesian analysis, information on priors and mcmc settings is required. for hierarchical designs, appropriate test levels and full reporting of outcomes are needed. effect sizes should be estimated and described. software and code: custom algorithms or software must be made available to editors and reviewers, preferably in a community repository. data availability: all manuscripts must include a data availability statement, providing accession codes, restrictions, and details on publicly available datasets. source data can be obtained from the corresponding authors upon request. research involving human participants, data, or biological material: no human participants were involved in this study. reporting on sex, gender, race, ethnicity, or other socially relevant groupings is not applicable. population characteristics, recruitment, and ethics oversight are not applicable. field-specific reporting: the study falls under ecological, evolutionary, and environmental sciences. field work was not involved. specific materials, systems, and methods are not relevant to this study.