Supporting data for “Exploring the spatio-temporal patterns and drivers of plant thermoregulation capability on a global scale”

For my PhD thesis, I have collected a range of data from various sources. 

1). I collected data from two forest sites, Mount Changbai and Xishuangbanna Mountain. These sites were chosen due to their unique ecological characteristics and the importance of understanding the response of forest ecosystems to environmental change. The data collected from these sites include measurements of various ecological parameters such as canopy temperature, relative humidity, and leaf spectra.

2). I utilized data from the public scientific community, specifically the FLUXNET 2015 dataset. This dataset contains energy, water, and carbon fluxes, which can be used to derive plant canopy temperatures and study the way plants respond to environmental change. This data was particularly useful for analyzing the impact of climate change on forest ecosystems.

3). I utilized satellite imagery from public websites such as MODIS surface temperature data, leaf area index data, and some reanalysis data. This data allowed me to analyze changes in forest ecosystems over large spatial scales and provided valuable insights into the ways in which environmental change impacts forest dynamics.

Overall, the combination of data collected at the forest sites, publicly available scientific datasets, and satellite imagery provided a robust and comprehensive dataset for my PhD thesis, allowing for a thorough analysis of the impacts of environmental change on forest ecosystems.

在我的博士论文中，我收集了来自不同来源的各类数据。首先，我从两个森林地点——长白山和西双版纳山脉——收集了数据。这些地点因其独特的生态特征以及对理解森林生态系统对环境变化的响应的重要性而被选中。从这些地点收集的数据包括冠层温度、相对湿度和叶片光谱等生态参数的测量。其次，我使用了来自公共科学社区的数据，特别是 FLUXNET 2015 数据集。该数据集包含了能量、水分和碳通量，可用于推导植物冠层温度并研究植物对环境变化的响应方式。这些数据特别有助于分析气候变化对森林生态系统的影响。此外，我还利用了来自公共网站如 MODIS 表面温度数据、叶面积指数数据以及一些再分析数据的卫星影像。这些数据使我能够分析森林生态系统在大型空间尺度上的变化，并为环境变化如何影响森林动态提供了宝贵的见解。总的来说，森林现场收集的数据、公开的科学研究数据集以及卫星影像的结合，为我的博士论文提供了一个稳健且全面的数据库，使我能够对环境变化对森林生态系统的影响进行深入分析。