DayCent data and results for "Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels"

DayCent data and results for: J. L. Field, T. L. Richard, E. A. Smithwick, H. Cai, M. S. Laser, D. S. LeBauer, S. P. Long, K. Paustian, Z. Qin, J. J. Sheehan, P. Smith, M. Q. Wang, L. R. Lynd, Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels. Proceedings of the National Academy of Sciences (2020). https://doi.org/10.1073/pnas.1920877117 This zip file contains a UNIX-format DayCent model executable, input files, automation code, and associated directory structure necessary to re-produce the DayCent analysis underlying the manuscript. The main script 'autodaycent.py' (written for Python 2.7) opens an interactive command line routine that facilitates: * Calibrating the DayCent pine growth model. * Initializing DayCent for a set of case studies sites. * Executing an ensemble of model runs representing case study site reforestation, grassland restoration, or conversion to switchgrass cultivation. * Results analysis & generation of manuscript Fig. 3. Note that the interactive analysis code requires that all input files to be contained in the directory structure as uploaded, without modification. Executable versions of the DayCent model (https://www2.nrel.colostate.edu/projects/daycent/) compatible with other operating systems are available upon request. Please send questions/comments to [e-mail]

本数据集配套数据与结果来自论文：J. L. 菲尔德（J. L. Field）、T. L. 理查德（T. L. Richard）、E. A. 史密斯威克（E. A. Smithwick）、H. 蔡（H. Cai）、M. S. 莱泽（M. S. Laser）、D. S. 勒鲍尔（D. S. LeBauer）、S. P. 朗（S. P. Long）、K. 保斯蒂安（K. Paustian）、Z. 秦（Z. Qin）、J. J. 希恩（J. J. Sheehan）、P. 史密斯（P. Smith）、M. Q. 王（M. Q. Wang）、L. R. 林德（L. R. Lynd），论文题为《通过先进生物燃料实现净温室气体减排与负排放的稳健路径》，发表于《美国国家科学院院刊》（2020年），DOI：10.1073/pnas.1920877117。

本压缩包包含Unix格式的DayCent模型（DayCent model）可执行文件、输入文件、自动化代码，以及复现该论文所依托的DayCent分析所需的完整目录结构。主脚本`autodaycent.py`（适配Python 2.7）提供交互式命令行例程，可实现以下功能：
* 校准DayCent松树生长模型
* 为一组案例研究站点初始化DayCent模型
* 运行多组模型集合模拟，覆盖案例研究站点的再造林、草地恢复或转换为柳枝稷种植的场景
* 开展结果分析并生成论文图3所需图表

请注意，交互式分析代码要求所有输入文件必须严格按照上传时的目录结构存放，不得修改。其他操作系统兼容的DayCent模型可执行版本可通过申请获取，链接：https://www2.nrel.colostate.edu/projects/daycent/。如有疑问或建议，请发送至邮箱[e-mail]。