2010-2020全球0.5°逐年NPP数据

IBIS模型模拟的逐年NPP，全球范围，2010-2020年。IBIS模型模拟，IBIS模型以植被和地表的辐射变化为温度与湿度的驱动力，模型的主要控制量为光合作用与呼吸作用；光合作用模拟以Farquhar的叶片尺度瞬时光合模型为基础；呼吸模型计算了叶片、茎干、细根等的呼吸作用。IBIS模型输入条件主要有大气温度、相对湿度、云量、降水和风速等气象变量，以及植被覆盖，土壤质地，地形等。输出内容包括GPP、NPP、净生态系统碳交换(NEE)、感热和潜热通量，蒸发散和蒸腾作用以及碳氮在植被、凋落物和土壤有机质中的分配分布情况等。模型中所需的参数主要有土壤质地、土壤有机质含量、凋落物库量、田间持水量和持续萎蔫点等。

Annual NPP simulated by the IBIS model, global coverage, 2010–2020. The IBIS model takes radiative changes in vegetation and land surface as the driving forces for temperature and humidity, with photosynthesis and respiration as its core control variables. The photosynthesis simulation is based on Farquhar's leaf-scale transient photosynthetic model; the respiration model calculates the respiratory processes of leaves, stems, fine roots and other plant organs. The main input datasets for the IBIS model include meteorological variables such as air temperature, relative humidity, cloud cover, precipitation and wind speed, as well as ancillary data like vegetation cover, soil texture and topography. The model outputs cover GPP, NPP, Net Ecosystem Exchange (NEE), sensible and latent heat fluxes, evapotranspiration and transpiration, as well as the partitioning and distribution of carbon and nitrogen across vegetation, litter and soil organic matter pools. The key parameters required for the model mainly include soil texture, soil organic matter content, litter pool size, field capacity and permanent wilting point, among others.

搜集汇总

背景与挑战

背景概述

该数据集提供了2010-2020年全球范围内0.5°空间分辨率的逐年NPP数据，由IBIS模型模拟生成，包含多种生态指标输出，适用于全球生态变化研究。