Fluxible: an R package to process ecosystem gas fluxes from closed-loop chambers in an automated and reproducible way

作者：Joseph Gaudard, Julia Chacón‐Labella, Hilary Rose Dawson, Brian J. Enquist, Richard J. Telford, Joachim Töpper, Jonas Trepel, Vigdis Vandvik, Marta Baumane, Kristine Birkeli, Mukhlish Jamal Musa Holle, Jason Hupp, Paul E. Santos Andrade, Tin W. Satriawan, Aud H. Halbritter · 年份：2025 · DOI：10.22541/au.175071021.14153294/v1 · 被引用次数：1 · 研究领域：Data Analysis with R

Measuring ecosystem gas fluxes is crucial for understanding the dynamics of ecosystem water and energy cycling. A common method for measuring ecosystem gas fluxes (CO 2 , CH 4 , N 2 O) and comparing experimental treatments is the use of closed-loop chambers. However, the output data requires extensive processing before analysis, making the workflow prone to biases and limiting comparability across studies. While various methods exist for processing flux data, they lack re-producibility and automation. The Fluxible R package provides a reproducible way to process raw gas concentration data from closed-loop chambers into an analysis-ready dataset of ecosystem gas fluxes. The processing steps include (1) separating the measurements, (2) fitting a linear, quadratic, or exponential model, (3) as-sessing the quality of the fit, (4) plotting the fluxes for visual inspection, and (5) calculating the fluxes. In addition to reproducibility, Fluxible focuses on homo-geneity and automation in data processing, thereby reducing time investment for users while improving comparability across studies.