Advances in regional-scale crop growth and associated process modeling  

作　　者：Wenfeng LIU Yawei BAI Taisheng DU Mengxue LI Hong YANG Shichao CHEN Chuanbin LIANG Shaozhong KANG 

机构地区：[1]State Key Laboratory of Efficient Utilization of Agricultural Water Resources,China Agricultural University,Beijing 100083,China [2]National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province,Wuwei 733000,China [3]Center for Agricultural Water Research in China,China Agricultural University,Beijing 100083,China [4]2w2e Environmental Consulting GmbH,Dübendorf 8600,Zürich,Switzerland

出　　处：《Science China Earth Sciences》2025年第3期653-668,共16页中国科学(地球科学英文版)

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.52239002,52109071,32361143871,52411540183&52209072);the Pinduoduo-China Agricultural University Research Fund(Grant No.PC2023A02002)。

摘　　要：In the context of global change,ensuring national food security and achieving sustainable development of agricultural production systems have become major challenges worldwide.To address these issues,regional-scale crop growth and associated process(CROP-AP)models,with their robust simulation and predictive capabilities,have emerged as important tools for studying a wide range of issues relating to agricultural production at river basin,national,and even global scales.Here,we provide a systematic review of the advances of regional-scale CROP-AP models.First,regional-scale CROP-AP models are categorized based on model characteristics:statistical models,crop growth models,hydrology-crop coupling models,and ecosystem models.The origin,development,principle,structure,and application of each model type are introduced.Then,the main functions of regional-scale CROP-AP models are critically reviewed from five aspects:crop yield prediction,crop water consumption,agricultural non-point source pollution,greenhouse gas emissions,and climate change impact and responses.Finally,the future development trends and research priorities of regional-scale CROP-AP models are explored from six key perspectives:model validation and calibration,the ability to simulate the coupling of crop physiology and human activities,enhancing model scalability,multi-model ensembles,data and code sharing,and the integration of artificial intelligence.This review aims to provide comprehensive references and insights for the further development and application of large-scale,high-precision CROP-AP models.

关 键 词：Regional scale Crop model Biophysical processes Model functions Global change 

分 类 号：F42[经济管理—产业经济]