Reduction of uncertainties in rice yield response to elevated CO2 by experiment-model integration:A case study in East China

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外文摘要：Accurate prediction of future rice yield needs the precise estimations of rice yield response to climate change factors,of which the most important one is the increasing carbon dioxide(CO2)concentrations.Estimates of CO2 fertilization effect(CFE)on rice,however,still had large uncertainties.Therefore,using the rice planting areas in East China as the study area,we firstly compared the rice yields and CFE pre-dicted by four state-of-the-art crop models,and found that the CFE predicted by these models had signif-icant differences.We then quantified the CFE on rice yield using the field-controlled experiment conducted at Danyang site at Jiangsu province.Using CFE measurements from a field experiment as benchmark,we have developed an experiment-model integration approach aiming to reduce this varia-tion.This study thus highlights the large CFE uncertainties of current crop models and provides us with a method to reduce this uncertainty,which is beneficial for the accurate prediction of future global rice yield in the context of climate change.

外文关键词：

Rice yieldElevated CO2Experiment-model integrationField experimentCrop models

作者：

Zihao Wang、Yu Zhang、Xueni Wang、Yanfeng Ding、Songhan Wang

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作者单位：

Jiangsu Collaborative Innovation Center for Modern Crop Production,Key Laboratory of Crop Physiology and Ecology in Southern China,Nanjing Agricultural University,Nanjing 210095,Jiangsu,China

Sanya Research Institute of Nanjing Agriculture University,Sanya 572024,Hainan,China

出版年：

2024

DOI：

10.1016/j.cj.2024.06.012

作物学报(英文版)

CSTPCD

ISSN：

年,卷(期)：2024.12(6)