A dataset of climate and productivity elements in Chaohu Lake Basin from 1861 to 2010
As one of the five major lakes in China,Chaohu Lake has a long history of human influence and has a significant impact on the ecological environment and lake water bodies in the basin.Particularly in the past century,global warming,industrial and agricultural development,and the urbanizing process in Chaohu Lake basin have intensified to shrink the area of vegetation,leading to serious environmental problems such as eutrophication and ecological degradation.With the aid of measured and simulated multi-source data,we produced a high-resolution,long-term dataset of ecosystem climate and vegetation growth in this research.We further applied the thin plate smoothing spline spatial interpolation method to develop a bioclimate software to establish climate data based on STASH software.The dataset provides high-resolution data of temperature,precipitation,sunshine percentage,mean temperature of the coldest month,mean temperature of the warmest month,accumulated temperature greater than 0℃ and accumulated temperature greater than 5℃ from 1861 to 2010.This research integrates machine learning methods with the NPP algorithm module to calculate vegetation data for the same period,including NPP,NEP,and LAI data.Additionally,quality control analysis has also been performed to ensure the accuracy of the data.This dataset is expected to provide model data for quantitative research on potential vegetation reconstruction and vegetation change in the region,as well as basic data for accurately assessing the impact of climate change on the ecological environment of Chaohu Lake Basin.It can also serve as a reference case for the construction of a typical watershed ecosystem dataset in China since the Industrial Revolution.
万方数据
维普
