Potter Christopher, Pass Stephanie
NASA Ames Research Center, Moffett Field, CA, USA.
University of California, Berkeley, CA, USA.
Carbon Balance Manag. 2024 Sep 18;19(1):32. doi: 10.1186/s13021-024-00279-9.
Ecosystem models are valuable tools to make climate-related assessments of change when ground-based measurements of water and carbon fluxes are not adequately detailed to realistically capture geographic variability. The Carnegie-Ames-Stanford Approach (CASA) is one such model based on satellite observations of monthly vegetation cover to estimate net primary production (NPP) of terrestrial ecosystems.
CASA model predictions from 2015 to 2022 for Western Europe revealed several notable high and low periods in growing season NPP totals in most countries of the region. For the total land coverage of France, Greece, Italy, Portugal, and Spain, 2018 was the year with the highest terrestrial plant growth, whereas 2017 and 2019 were the years with the highest summed NPP across the UK, Germany, and Croatia. For most of Western Europe, 2022 was the year predicted with the lowest summed plant growth. Annual precipitation in most countries of Western Europe gradually declined from a high average rate in 2018 to a low average precipitation level in 2022.
The CASA model predicted decreased growing season NPP of between - 25 and - 60% across all of Spain, southern France, and northern Italy from 2021 to 2022, and much of that plant production loss was detected in the important cropland regions of these nations.
当基于地面的水和碳通量测量不够详细,无法实际捕捉地理变异性时,生态系统模型是进行与气候相关的变化评估的宝贵工具。卡内基-艾姆斯-斯坦福方法(CASA)就是这样一种基于卫星对每月植被覆盖情况观测的模型,用于估算陆地生态系统的净初级生产力(NPP)。
CASA模型对2015年至2022年西欧的预测显示,该地区大多数国家生长季NPP总量出现了几个显著的高值期和低值期。对于法国、希腊、意大利、葡萄牙和西班牙的全部土地覆盖范围,2018年是陆地植物生长最高的年份,而2017年和2019年是英国、德国和克罗地亚NPP总和最高的年份。对于西欧大部分地区,2022年是预测的植物生长总和最低的年份。西欧大多数国家的年降水量从2018年的高平均水平逐渐下降到2022年的低平均降水水平。
CASA模型预测,从2021年到2022年,西班牙全境、法国南部和意大利北部的生长季NPP下降了25%至60%,而且这些国家重要农田地区出现了大量植物产量损失。