遇见数据集

Data and code for: Vegetation determines how warming reshapes optimal water tables for wetland emissions

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Zenodo2026-03-21 更新2026-05-26 收录
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This is a pre-publication version. The dataset will be updated to the full version upon manuscript acceptance. This repository contains the analysis code and a subset of the compiled dataset supporting the manuscript: "Vegetation determines how warming reshapes optimal water tables for wetland emissions" Contents:- Analysis_Code_Part1.R: Flux–water-table relationship analyses (Figs. 1–3), including piecewise breakpoint models, bootstrap uncertainty quantification, model comparison, and emission-side GWP optimisation.- Analysis_Code_Part2.R: Temperature sensitivity analyses (Figs. 4–6), including sliding-window Q10 profiling, dynamic parameterisation, bias quantification, and climate-adaptive trajectory extraction.- Public_Dataset_EXAMPLE.xlsx: Example subset of the compiled database (full dataset will be made available upon acceptance).- README.md: Documentation of file structure and software requirements. The full dataset comprises 16,343 paired flux–water-table observations from 454 sites across 153 wetland complexes in 27 countries. The complete dataset will replace this example file upon manuscript acceptance.

本版本为预出版版本,待稿件录用后,本数据集将更新为完整版。 本仓库包含支撑以下论文的分析代码与汇编数据集的子集: "Vegetation determines how warming reshapes optimal water tables for wetland emissions"(中文译名为《植被决定升温如何重塑湿地排放的最优水位》) 文件包含内容如下: - Analysis_Code_Part1.R:通量-水位关系分析代码(用于生成图1至图3),涵盖分段断点模型、自助法不确定性量化、模型比较以及排放端全球增温潜势(Global Warming Potential,GWP)优化。 - Analysis_Code_Part2.R:温度敏感性分析代码(用于生成图4至图6),涵盖滑动窗口Q10分析、动态参数化、偏差量化以及气候适应性轨迹提取。 - Public_Dataset_EXAMPLE.xlsx:汇编数据库的示例子集(完整版数据集将在稿件录用后公开)。 - README.md:文件结构与软件需求说明文档。 完整数据集包含来自27个国家153个湿地综合体的454个观测站点的16343组成对通量-水位观测数据。待稿件录用后,完整版数据集将替换本示例文件。

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Zenodo
创建时间:
2026-03-21
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