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中国东部-蒙古地区总初级生产力的突然变化及其在陆面模式中的模式间差异。

An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models.

作者信息

Lee Danbi, Kim Jin-Soo, Park So-Won, Kug Jong-Seong

机构信息

Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea.

Low-Carbon and Climate Impact Research Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong, People's Republic of China.

出版信息

Sci Rep. 2023 Dec 27;13(1):22971. doi: 10.1038/s41598-023-49763-1.

Abstract

The terrestrial ecosystem in East Asia mainly consists of semi-arid regions that are sensitive to climate change. Therefore, gross primary productivity (GPP) in East Asia could be highly variable and vulnerable to climate change, which can significantly affect the local carbon budget. Here, we examine the spatial and temporal characteristics of GPP variability in East Asia and its relationship with climate factors over the last three decades. We detect an abrupt decrease in GPP over Eastern China-Mongolia region around the year 2000. This is attributed to an abrupt decrease in precipitation associated with the phase shift of the Pacific decadal oscillation (PDO). We also evaluate the reproducibility of offline land surface models to simulate these abrupt changes. Of the twelve models, eight were able to simulate this abrupt response, while the others failed due to the combination of an exaggerated CO fertilization effect and an underrated climate impact. For accurate prediction, it is necessary to improve the sensitivity of the GPP to changes in CO concentrations and the climate system.

摘要

东亚的陆地生态系统主要由对气候变化敏感的半干旱地区组成。因此,东亚的总初级生产力(GPP)可能高度可变且易受气候变化影响,这会显著影响当地的碳收支。在此,我们研究了过去三十年中东亚GPP变化的时空特征及其与气候因子的关系。我们检测到2000年左右中国东部 - 蒙古地区的GPP突然下降。这归因于与太平洋年代际振荡(PDO)相位转变相关的降水量突然减少。我们还评估了离线陆面模型模拟这些突变的可重复性。在这十二个模型中,八个能够模拟这种突变响应,而其他模型由于夸大的CO施肥效应和低估的气候影响的组合而失败。为了进行准确预测,有必要提高GPP对CO浓度和气候系统变化的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98e/10752903/1e6a535ab9a8/41598_2023_49763_Fig1_HTML.jpg

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