goFlux:一种用户友好型方法,无论用户经验如何,都能自行计算温室气体流量

Karelle Rheault, J. Christiansen, K. Larsen
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引用次数: 0

摘要

我们开发了 goFlux R 软件包,用于计算静态室测量得出的温室气体通量估算值。与之前为相同目的开发的软件相比,goFlux 软件包不局限于线性回归方法(LM),还可以通过非线性回归方法(即 Hutchinson 和 Mosier 模型(HM))估算温室气体通量。软件包中包含一个自动选择程序,帮助用户根据客观标准选择最佳通量估算(LM 或 HM)。此外,该软件包还可用于导入从多种仪器(LI-COR、LGR、GAIA2TECH、Gasmet、Picarro、Aeris 和 PP-Systems)直接下载的原始数据。该软件包分为五个步骤1.将原始数据导入 R;2.定义每次测量的起点和终点,并分配一个 UniqueID;3.计算温室气体通量估算值(LM 和 HM);4.根据我们默认选择的客观标准,自动选择最佳通量估算值(LM 或 HM);5.在可保存为 pdf 格式的图上直观检查结果。有关如何使用该软件包的详细说明,请访问网站 https://qepanna.quarto.pub/。
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goFlux: A user-friendly way to calculate GHG fluxes yourself, regardless of user experience
The R package goFlux has been developed for calculating greenhouse gas (GHG) flux estimates from static chamber measurements. Compared to previous software developed for the same purpose, the goFlux package is not limited to the linear regression approach (LM), but also estimates GHG fluxes from a non-linear regression approach, i.e., the Hutchinson and Mosier model (HM). An automatic selection procedure has been implemented in the package to help users select the best flux estimate (LM or HM) based on objective criteria. In addition, this package can be used to import raw data directly downloaded from a broad selection of instruments (LI-COR, LGR, GAIA2TECH, Gasmet, Picarro, Aeris and PP-Systems). The package is divided into five steps: 1. import raw data into R; 2. define the start and end points of each measurement and assign a UniqueID; 3. calculate GHG flux estimates (LM and HM); 4. automatically select the best flux estimate (LM or HM) based on our default choices of objective criteria; 5. visually inspect the results on plots that can be saved as pdf. For a detailed protocol on how to use this package, visit the webpage https://qepanna.quarto.pub/
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