中国8种暖温带木本植物展叶及开花始期数据集(1963–2015)

Spring Phenological Grid Dataset of Eight Deciduous Broad-leaved Woody Plants in the Warm Temperate Zone of China(1963–2015)

植物物候是评估全球变化影响,研究生态系统结构和功能以及发展气候和陆面模式的重要基础。本文提取中国物候观测网1963–2015年白蜡、垂柳、刺槐、合欢、桑树、榆树、杏树和紫荆等8种木本植物的展叶始期和开花始期数据,通过Unified、UniChill和时空耦合三种物候模型构建、相应参数值估计和模型检验的春季物候格网数据研发方法,研发了过去50年上述物种在其分布区展叶始期和开花始期的0.5°×0.5°格网数据。数据验证结果表明展叶始期的平均模拟误差约为5–9天,开花始期平均误差约为5–12天。本数据集的组成包括:(1)头文件,包括物种物候期和分布范围格网的头文件信息;(2)物种物候期,包括每个物种展叶始期和开花始期1963–2015年的逐年文件;(3)物种分布范围,包括每个物种的实际分布范围格网。数据集由3个数据文件夹共计1,713个数据文件组成,数据存储为.txt,GEOTIFF和ArcGIS ASCII格式,数据量为74.5 MB(压缩后为8.84 MB)。

Plant phenology is important in assessing the effects of global change and in studying ecosystem structure and function,as well as in developing climate and land surface models.The leaf unfolding date(LUD)and the first flowering date(FFD)of eight woody plants,Fraxinus chinensis Roxb.(Oleaceae),Salix babylonica L.(Salicaceae),Robinia pseudoacacia L.(Leguminosae),Albizia julibrissin Durazz.(Leguminosae),Morus alba L.(Moraceae),Ulmus pumila L.(Ulmaceae Mirb.),Armeniaca vulgaris Lam.(Rosaceae),and Cercis chinensis Bunge.(Leguminosae),from 1963 to 2015 were obtained from the Chinese Phenological Observation Network.The 0.5°×0.5°grid data of the LUD and FFD were developed for each species in the past 50 years by building and testing three phenological models:Unified,Uni Chill,and Temporal–Spatial Coupling(TSC)model.The validation results showed that the average simulation error of the LUD was approximately 5–9 days and that of the FFD was approximately 5–12 days.The dataset includes the following:(1)header file,containing grid data header information of the species phenophase and spatial distribution;(2)phenophase,containing the LUD and FFD of each species from 1963 to 2015;and(3)spatial distribution,containing the actual spatial distribution range grid of each species.The dataset consists of 1,713 files in three folders.The data files are archived in.txt,GEOTIFF,and ARCGIS ASCII formats.The data size is 74.5 MB(8.84 MB after compression).