Data & Scripts for: China's agricultural relocation policy abruptly shifts livestock nitrogen emissions into climate-sensitive pulses

Replication Data and Code for: China's agricultural relocation policy abruptly shifts livestock nitrogen emissions into climate-sensitive pulses Overview This repository contains the custom Python scripts and processed lightweight summary datasets required to reproduce the statistical analyses and main figures for the manuscript: "China's agricultural relocation policy abruptly shifts livestock nitrogen emissions into climate-sensitive pulses" (currently under review at Geophysical Research Letters). Scientific Context In 2015, China initiated a massive spatial restructuring of its livestock sector, relocating intensive animal production from the water-rich south to the semi-arid northern plains. While absolute pollution fluxes declined, this study introduces a sliding-window Difference-in-Differences (DID) framework and a Hydrology-Thermal Copula phase space to reveal a severe hidden "parameter inflation." Driven by intense Soil Moisture-Temperature Coupling (STC) in drylands, desiccated soils breach the winter-accumulated "nitrogen capacitor" during compound dry-hot extremes, fundamentally nearly doubling the per-capita ecological vulnerability (+98.5%) of the new agricultural hubs. Repository Contents scripts/: Custom Python source codes used for the core analyses, including the 5-year rolling-window DID regressions, ternary variance decomposition, and the reverse-ranked Bivariate Copula phase space generation (e.g., Figures 3, 4, and S2). results_summary/: Processed lightweight CSV files containing the regional parameter shifts, Copula bin matrices, and cross-seasonal tracking data necessary for plotting. README.md: Detailed instructions for Python environment setup and step-by-step figure reproduction. Data Availability Note To ensure the repository remains lightweight and accessible, the massive raw data files are not included in this archive. The raw high-resolution (0.1° × 0.1°) livestock reactive nitrogen (Nr) emission inventory can be accessed via Chen et al. (2025). The raw hourly/daily ERA5-Land meteorological reanalysis fields (NetCDF/GRIB formats) are publicly available through the Copernicus Climate Change Service (C3S) Climate Data Store. Citation If you use the code or data structure from this repository, please cite the associated manuscript.复现数据集与配套代码：《中国农业搬迁政策将畜禽氮排放骤然转化为气候敏感型脉冲》 概述：本仓库包含复现下述论文统计分析与主图所需的定制Python脚本与经处理的轻量化汇总数据集：论文题为《中国农业搬迁政策将畜禽氮排放骤然转化为气候敏感型脉冲》，目前正在《地球物理研究通讯》（Geophysical Research Letters）审稿中。 科学背景：2015年，中国启动畜禽养殖业大规模空间重构，将集约化畜禽生产从水资源丰沛的南方转移至半干旱北方平原。尽管污染排放绝对通量有所下降，本研究引入滑动窗口双重差分（Difference-in-Differences, DID）框架与水文-热耦合Copula相空间，揭示了一处被严重掩盖的“参数膨胀”现象。在干旱区强烈的土壤湿度-温度耦合（Soil Moisture-Temperature Coupling, STC）驱动下，干旱化土壤在复合干热极端事件期间会打破冬季累积的“氮蓄库”，从根本上使新型农业集聚中心的人均生态脆弱性提升近一倍（+98.5%）。 仓库内容： scripts/：用于核心分析的定制Python源代码，涵盖5年滚动窗口双重差分回归、三元方差分解，以及反向排序二元Copula相空间生成（对应图3、图4与补充材料图S2）。 results_summary/：经处理的轻量化CSV文件，包含绘图所需的区域参数偏移量、Copula分箱矩阵与跨季节追踪数据。 README.md：包含Python环境配置与逐步骤复现图表的详细说明。 数据可用性说明：为保障本仓库轻量化且易于获取，本归档未包含海量原始数据文件。 高分辨率（0.1°×0.1°）畜禽活性氮（reactive nitrogen, Nr）排放原始清单可通过Chen等人（2025）获取。 逐小时/逐日ERA5-Land气象再分析场数据（NetCDF/GRIB格式）可通过哥白尼气候变化服务（Copernicus Climate Change Service, C3S）气候数据商店公开获取。 引用说明：若您使用本仓库中的代码或数据结构，请引用相关联的研究论文。