Patterns and trends in the spatial heterogeneity of land surface phenology of global forests

The dataset corresponds to the data presented in the paper “Patterns and Trends in the Spatial Heterogeneity of Land Surface Phenology of Global Forests,” published in Environmental Research Communications.Land-surface phenology, a critical indicator of terrestrial ecosystem responses to environmental changes, lacks a global-scale assessment of its spatial heterogeneity in forest phenology. We filled this gap by introducing an index derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data, to evaluate phenological diversity across global forest biomes. This work, contributing to the Essential Biodiversity Variable framework, provides insights into the functional composition of ecosystems and their climate-driven shifts observed over an 18-year period. The results of the study have been published in Girardello et al. (2024).<br>Pre-processed data, codes for reproducing paper figures in the afore-mentioned work are made publicly available here and briefly described to facilitate reproducibility and applicability.<br><b>FUNDING</b><b>The study was funded by the Exploratory Project FORBIORES of the European Commission, Joint Research Centre.</b><br>

本数据集对应发表于《环境研究通讯（Environmental Research Communications）》的论文《全球森林地表物候空间异质性的模式与趋势》中的相关数据。地表物候（Land Surface Phenology）是陆地生态系统响应环境变化的关键指示因子，但目前全球范围内针对森林物候空间异质性的全球尺度评估仍存在空白。本研究通过引入基于中分辨率成像光谱仪（Moderate Resolution Imaging Spectroradiometer, MODIS）数据构建的物候多样性指数，对全球森林生物群区的物候多样性展开全面评估，成功填补了这一研究空白。本研究成果隶属于生物多样性基本变量（Essential Biodiversity Variable）框架，可为解析生态系统的功能组成及其在18年观测周期内受气候驱动的动态变化提供科学参考。该研究成果已发表于Girardello等人（2024）的学术论文中。
本研究已将用于复现上述论文图表的预处理数据与代码公开于此，并对其进行简要说明，以提升研究的可重复性与可应用性。
<b>资助说明</b>
<b>本研究由欧盟委员会联合研究中心（European Commission, Joint Research Centre）的FORBIORES探索项目资助。</b>