Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette 91191, France.
UMR Agronomie, INRA, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon 78850, France.
Sci Data. 2018 Aug 21;5:180169. doi: 10.1038/sdata.2018.169.
Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset will be also useful to develop and assess bioenergy crop modelling in integrated assessment socio-economic models and global vegetation models. Here, we compiled and described a global biomass yield dataset based on field measurements. We extracted 5,088 entries of data from 257 published studies for five main lingocellulosic bioenergy crops: eucalypt, Miscanthus, poplar, switchgrass, and willow. Data are from 355 geographic sites in 31 countries around the world. We also documented the species, plantation practices, climate conditions, soil property, and managements. Our dataset can be used to identify productive bioenergy species over a large range of environments.
可靠的数据对于鉴定可持续的生物能源资源至关重要，这些数据是由木质纤维素生物能源作物产生的。数十年来，人们一直在对生物能源作物进行实地研究，但只有一小部分可用数据用于探索包括生物能源作物在内的未来土地利用情景。因此，需要建立一个全球性的木质纤维素生物能源作物生物量生产数据集，以厘清不同地区生物量生产的影响因素。该数据集还有助于开发和评估综合评估社会经济模型和全球植被模型中的生物能源作物模型。在这里，我们基于野外测量结果，编制并描述了一个全球生物量产量数据集。我们从 257 项已发表的研究中提取了 5088 条数据，这些数据来自 31 个国家的 5 种主要木质纤维素生物能源作物：桉树、芒属植物、杨树、柳枝稷和柳树。数据来自全球 355 个地理位置。我们还记录了物种、种植实践、气候条件、土壤特性和管理措施。我们的数据集可用于识别在广泛环境条件下具有生产力的生物能源物种。
