A dataset of annual gross primary productivity in China’s terrestrial ecosystems during 2000-2020

Renxue Fan, Xianjin Zhu, Zhi Chen, Guirui Yu, Weikang Zhang, Lang Han, Qiufeng Wang, Shiping Chen, Shaomin Liu, Huimin Wang, Junhua Yan, Junlei Tan, Fa-wei Zhang, F. Zhao, Ying-nian Li, Yiping Zhang, P. Shi, Jiaojun Zhu, Jiabing Wu, Zhong‐Hui Zhao, Y. Hao, L. Sha, Yucui Zhang, Shicheng Jiang, Fengxue Gu, Zhixiang Wu, Yang-jian Zhang, Li Zhou, Yakun Tang, B. Jia, Yuqiang Li, Q. Song, G. Dong, Y. Gao, Zheng Jiang, Dan-Dan Sun, Jianlin Wang, Qihua He, Xinhu Li, Fei Wang, Wenxue Wei, Z. Deng, X. Hao, Yan Li, Xiaoli Liu, Xifeng Zhang, Zhilin Zhu
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引用次数: 1

Abstract

The annual gross primary productivity (AGPP) is the basis of food production and carbon sequestration in terrestrial ecosystems. An accurate assessment of regional AGPP can provide a theoretical basis for analyzing the spatiotemporal variation of AGPP and ensuring regional food security and mitigating climate change trends. Based on Chinese Flux Observation and Research Network (ChinaFLUX) measurements and public datasets, we produced a dataset of annual gross primary productivity over China’s terrestrial ecosystems was constructed. In combination with biological, climatic, and soil factors, we used the random forest regression tree to construct the assessment model of China AGPP by simulating the AGPP of unit leaf area. The dataset of annual gross primary productivity over China’s terrestrial ecosystems during 2000-2020 was generated with a spatial resolution of 30arcsecond and a data format of tiff. The dataset can provide validation data for model simulation, as well as data support for regional productivity, ecological quality, and assessment and management of terrestrial carbon sinks.
2000-2020年中国陆地生态系统年初级生产力数据集
年初级生产总值是陆地生态系统粮食生产和碳固存的基础。准确评估区域AGPP可以为分析AGPP的时空变化、确保区域粮食安全和缓解气候变化趋势提供理论依据。基于中国通量观测与研究网(ChinaFLUX)的测量和公共数据集,我们构建了中国陆地生态系统的年初级生产力数据集。结合生物、气候和土壤因素,采用随机森林回归树,通过模拟单位叶面积的AGPP,构建了中国AGPP的评价模型。2000-2020年中国陆地生态系统年初级生产力数据集的空间分辨率为30角秒,数据格式为tiff。该数据集可以为模型模拟提供验证数据,也可以为区域生产力、生态质量以及陆地碳汇的评估和管理提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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