青藏高原净初级生产力数据集（1980-2018）

该数据集是基于16个动态全球植被模式（TRENDY v8）在S2情景下（CO2+Climate）模拟的NPP，表征生态系统净初级生产力。数据来源于Le Quéré et al. (2019)，具体信息和方法参见文章。源数据范围为全球，本数据集选取了青藏高原区域，空间上用最近邻方法插值到0.5度，时间上保持了原有的月尺度。该数据集是标准的模型输出数据，常被用作评定总初级生产力的时间和空间格局，且与其它遥感观测、通量观测等数据进行比较和参考，具有实际意义和理论价值。

This dataset refers to the net primary productivity (NPP) simulated by 16 dynamic global vegetation models (TRENDY v8) under the S2 scenario (CO2 + Climate), which characterizes the net primary productivity of terrestrial ecosystems. The data is derived from Le Quéré et al. (2019), and detailed information and methodological descriptions can be found in the article. The original source data covers the global scope, and this dataset selects the Qinghai-Tibet Plateau region. Spatially, the data is interpolated to a 0.5° grid using the nearest neighbor method, while the original monthly temporal resolution is fully retained. As a standard model output dataset, it is often used to evaluate the temporal and spatial patterns of gross primary productivity (GPP), and serves as a reference for comparison with other remote sensing observational data, flux observational data and other related datasets, thus possessing both practical application and theoretical research values.

搜集汇总

背景与挑战

背景概述

该数据集为青藏高原1980-2018年的净初级生产力数据，基于16个动态全球植被模式模拟，空间分辨率为0.5度（约10-100km），时间分辨率为月。数据主要用于评估生态系统生产力时空格局，并可与遥感观测等数据进行对比研究，具有重要的理论和实际应用价值。