植物物候记录了植物重复生命周期事件的发生时间，是指示全球变化的重要指标。植物物候研究有助于理解生态系统对全球变化的响应，也是模拟陆地生态系统的物质和能量平衡的重要基础。本数据集基于过去70年欧洲物候项目(Pan European Phenology Project，PEP725)整编的6种代表性木本植物的地面观测物候数据，采用三种考虑春季冷激和积温累积过程的物候模型(Unified、Unichill和时空耦合模型)在大洲尺度上对物候数据进行建模和分析，研制了欧洲地区代表性木本植物格网物候数据集。本数据集包含1951-2021年欧洲地区(34°57′N-72°3′N，25°3′W-40°3′E)6种木本植物的逐年展叶始期和开花始期格网数据，空间分辨率为0。1 °，时间分辨率为天。数据集的质量评估表明，欧洲地区各物种展叶始期和开花始期平均误差分别为7。9和7。6天，与其他区域尺度研究中春季物候的模拟误差接近，因此本文格网物候数据具有较高的模拟精度。本数据集旨在更好地表征欧洲地区大洲尺度植物物候的时空格局，为区域其他来源的植物物候数据产品提供有价值的验证参考，亦可为全球变化和陆地生态系统模拟等研究领域提供支撑物候数据。
A dataset of gridded phenology of woody plants in Europe from 1951 to 2021
Plant phenology records the timing of plant cyclic growth events,and stand as one of the most important indicators of climate change.The monitoring and research of plant phenology is of great significance for understanding the response of ecosystems to global changes and simulating the material and energy balance of terrestrial ecosystems.Based on the ground observation phenological data of six representative woody plants compiled by the Pan European Phenology Project(PEP725)in the past 70 years,this paper employed three phenology models(Unichill,Unified and TSC)to predict and upscale the phenology data on the continental scale,and prepared a dataset of gridded phenology of woody plants in Europe.This dataset contains the grid data of the first leaf date(FLD)and first flower date(FFD)of six woody plants in Europe(34°57′N-72°3′N,25°3′W-40°3′E)from 1951 to 2021,with a spatial resolution of 0.1 ° and a temporal resolution of one day.The quality assessment of the grid phenology data shows that the average error for FLD and FFD is 7.9 and 7.6 days respectively,which are close to simulation errors of spring phenology observed in other regional-scale studies,revealing the high accuracy of the data.This dataset can better characterize the temporal and spatial patterns of plant phenology at a continental scale in Europe,and provide an effective verification approach for plant phenology products from other sources.Furthermore,it can offer valuable data support for research on global change and terrestrial ecosystem simulation.
万方数据
