全球温升1.5℃和2℃中国生态风险数据集

1）数据内容： 本数据集包含RCP8.5情景下全球温升1.5℃和2℃时段中国生态系统风险等级数据，可以用于评估未来气候变化背景下的生态环境影响。 2）数据来源及加工方法： 基于LPJ模型模拟的NPP数据，以未来时段多年NPP均值减去基准期的多年均值得到差值大于等于0的栅格定为无风险，标注为0；并求差值小于0的栅格的标准差和平均值，高风险为小于均值-1/4标准差，标注为3，低风险为大于小于均值+1/4标准差，标注为1， 中间为中风险，标注为2。3）数据质量描述： 数据空间分辨率为0.5°×0.5°，时间覆盖全球温升1.5℃和2℃时段。 4）数据应用成果及前景：可以用于气候变化下生态系统风险评估。

1) Data Content: This dataset contains data on the risk levels of Chinese ecosystems during the periods when global warming reaches 1.5°C and 2°C under the RCP8.5 scenario, which can be used to assess ecological and environmental impacts under future climate change. 2) Data Source and Processing Methodology: The dataset is derived from Net Primary Productivity (NPP) data simulated by the LPJ model. First, calculate the difference between the multi-year mean NPP of the future period and that of the baseline period. Grid cells with a difference greater than or equal to 0 are classified as no-risk zones and labeled 0. For grid cells with a difference less than 0, compute their standard deviation and mean difference value. Grid cells with a difference smaller than (mean - 1/4 standard deviation) are categorized as high-risk and labeled 3; those with a difference between (mean - 1/4 standard deviation) and (mean + 1/4 standard deviation) are low-risk and labeled 1; the remaining grid cells are moderate-risk and labeled 2. 3) Data Quality Description: The spatial resolution of the data is 0.5°×0.5°, and its temporal coverage covers the periods when global warming reaches 1.5°C and 2°C. 4) Data Application Achievements and Prospects: This dataset can be applied to ecosystem risk assessment under climate change.

搜集汇总

背景与挑战

背景概述

该数据集基于LPJ模型模拟的NPP数据，在RCP8.5情景下，评估全球温升1.5℃和2℃时段中国生态系统的风险等级，通过差值计算和标准差分级方法将风险划分为无风险、低风险、中风险和高风险四个等级。数据空间分辨率为0.5°×0.5°，时间覆盖温升目标时段，主要用于气候变化背景下的生态环境影响评估和生态系统风险分析。