1980-2015年中国长时间序列森林林龄重建数据集

以德国马普生物地球化学研究所（MPI-BGC）2010年的卫星森林年龄图为基础，首先利用森林清查数据对MPI-BGC 2010年的林龄进行校准，然后利用袁文平教授团队重建的1980-2015年的中国森林覆盖数据集（简称CFCD）进行森林变化检测和林龄推算，同时在随机森林方法辅助下重建生成了1980-2015年中国森林年龄数据集（简称CFAD），数据空间分辨率约为1×1公里，时间分辨率为5年。利用森林清查数据的独立验证表明CFAD与全国森林清查得到的省级平均林龄具有较好的一致性。林龄数据空间分布合理，低龄林主要分布在中国南部和东部，高龄林主要分布在东北、西北和西南山区。基于CFAD数据，可以估算出从1980到2015年中国森林的林龄从18.2年增加到44.0年。

Based on the 2010 satellite-derived forest age map from the Max Planck Institute for Biogeochemistry (MPI-BGC), the MPI-BGC 2010 forest age data was first calibrated using forest inventory data. Subsequently, forest change detection and age estimation were conducted using the 1980–2015 Chinese Forest Cover Dataset (CFCD) reconstructed by the team led by Professor Yuan Wenping. Meanwhile, assisted by the random forest method, the 1980–2015 Chinese Forest Age Dataset (CFAD) was generated, with a spatial resolution of approximately 1×1 km and a temporal resolution of 5 years. Independent validation based on forest inventory data demonstrated that CFAD exhibits good consistency with the provincial average forest ages derived from national forest inventories. The spatial distribution of the forest age dataset is reasonable: young forests are mainly distributed in southern and eastern China, while old-growth forests are primarily located in the mountainous areas of Northeast, Northwest, and Southwest China. Based on the CFAD dataset, it can be estimated that the average forest age of China's forests increased from 18.2 years to 44.0 years between 1980 and 2015.

搜集汇总

背景与挑战

背景概述

该数据集是1980-2015年中国森林林龄的长时间序列重建数据，空间分辨率约为1公里，时间分辨率为5年。它基于卫星图像和森林清查数据，通过随机森林方法生成，验证显示与省级平均林龄一致性较好，并揭示了中国森林林龄从18.2年增长到44.0年的趋势，低龄林主要分布在南部和东部，高龄林集中在东北、西北和西南山区。