Sun Yuanfeng, Chang Jinfeng, Fang Jingyun
Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Ecology. 2023 Feb;104(2):e3904. doi: 10.1002/ecy.3904. Epub 2022 Dec 20.
Net primary productivity (NPP) over global grasslands is crucial for understanding the terrestrial carbon cycling and for the assessments of wild herbivores food security. During the past few decades, numerous field investigations have been conducted to estimate grassland NPP since the measuring criterion released by the International Biological Program. However, a comprehensive NPP database, particularly for belowground NPP (BNPP), in global grasslands is rare to date. Here, field NPP measurements from 438 publications (1957-2018) in global grasslands were collected, critically filtered, and incorporated in a comprehensive global database with observations for aboveground NPP (ANPP), BNPP, total NPP (TNPP), and BNPP fraction (f ). Associated information on geographical locations, climatic records, grassland types, land use patterns, manipulations subjected to manipulative experiments, sampling year of study sites, as well as NPP measurement methods are also documented. This database included 2985 entries from 1785 study sites. Among them, 806 entries contained paired data of ANPP and BNPP, resulting in the 806 fBNPP data. The study sites encompassed global grasslands with latitudinal range of 54.5° S78.9° N, longitudinal range of 157.4° W175.8° E, and altitudes from 0 to 5168 m above sea level, covering broad climatic gradients (-17.6 to 28.8°C in mean annual temperature and 63-2052 mm in mean annual precipitation). This global database is the world's largest paired data of ANPP and BNPP field measurements in grasslands. It can be used to study the spatio-temporal patterns of NPP and its allocation, evaluate the responses of above- and below-ground carbon components to future global changes, and validate the NPP estimation by empirical or process-based models in global grasslands. The database can be freely used for noncommercial applications. We kindly request users cite this data paper when using the database, respecting all the hard work during data compilation.
全球草原的净初级生产力（NPP）对于理解陆地碳循环以及评估野生食草动物的食物安全至关重要。在过去几十年中，自国际生物学计划发布测量标准以来，已经进行了大量实地调查来估算草原NPP。然而，迄今为止，全球草原地区尚缺乏一个全面的NPP数据库，尤其是关于地下NPP（BNPP）的数据库。在此，我们收集、严格筛选了来自全球草原地区438篇出版物（1957 - 2018年）中的实地NPP测量数据，并将其纳入一个综合全球数据库，该数据库包含地上NPP（ANPP）、BNPP、总NPP（TNPP）以及BNPP占比（f）的观测数据。同时，还记录了地理位置、气候记录、草原类型、土地利用模式、操纵实验所施加的处理、研究地点的采样年份以及NPP测量方法等相关信息。该数据库包含来自1785个研究地点的2985条记录。其中，806条记录包含ANPP和BNPP的配对数据，从而得到806个fBNPP数据。研究地点涵盖了全球草原，纬度范围为南纬54.5°至北纬78.9°，经度范围为西经157.4°至东经175.8°，海拔高度从海平面0米至5168米，覆盖了广泛的气候梯度（年平均温度为 - 17.6至28.8°C，年平均降水量为63 - 2052毫米）。这个全球数据库是世界上最大的草原ANPP和BNPP实地测量配对数据集。它可用于研究NPP及其分配的时空模式，评估地上和地下碳成分对未来全球变化的响应，并验证全球草原地区基于经验或过程的模型对NPP的估算。该数据库可免费用于非商业用途。我们恳请用户在使用该数据库时引用这篇数据论文，以尊重数据编纂过程中的所有辛勤工作。
