关键词:
ecology research
ecology journal
R software
R packages
use rate of R
摘要:
The field of ecology has been greatly enhanced by the integration of computational tools and statistical methods,with the programming language R emerging as a pivotal and flexible tool for ecological *** ecological studies accelerate,understanding the prevalent trends and specific usage patterns of R in recent research is *** study investigated the use of R and its packages in 125494 scholarly articles published in 40 ecology journals from 2008 to 2023.A total of 52658 articles(42%)designated R as their principal analytical tool,demonstrating a steady linear growth in its utilization from 10.3%in 2008 to 66.9%in *** R packages,including'lme4','vegan','nlme','MuMln','ape','ggplot2','car','mgcv','MAsS','raster','multcomp and'lmerTest',each played a pivotal role in contributing to more than 1000 scholarly *** highest usage rate of the'lme4'package indicates that mixed-effect models have a particularly important role in ecological research,and the application of these models has helped ecologists solve many important scientific ***-specific package preferences aligned with their scientific domains,while the rise in the average number of R packages per article indicates a trend towards more complex and diverse analytical methods in *** findings reveal a reciprocal relationship between the development of R and ecological research,underscoring the need for collaboration among quantitative ecologists,R developers and ecologists to further advance both the language and the *** collaboration will not only enhance the functionality and versatility of R but also provide robust technical support for the continued progress of ecological research.