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This study, employed the biogeochemical cycle model Biome-BGCMuSo (BGC with Multilayer Soil Module), integrated with eddy covariance data,conducted sensitivity analysis and parameter optimization to investigate variations in carbon/water fluxes across different grassland types and their responses to extreme climates. The results showed that carbon flux simulations were sensitive to vegetation photosynthetic physiology and carbon allocation parameters, while water flux simulations were sensitive to leaf and root parameters, with variations across grassland types. Optimizing highly sensitive parameters significantly improved carbon flux simulation accuracy, but water flux simulations still require refinement. During growing season heatwaves, all three grassland types remained carbon sinks, though diurnal carbon sequestration decreased by 28.7% and 29.4% in temperate desert steppe and mountain meadows, respectively. Extreme rainfall enhanced carbon and water fluxes across all three grasslands. Drought events increased carbon sequestration by 62.5% in temperate desert steppe but decreased it by 16.3% in mountain meadows. This study reveals distinct response mechanisms of carbon and water cycles in grasslands of arid-semiarid regions to extreme climatic events, providing scientific basis for predicting the evolution of grassland ecological processes under climate change., authors=WANG Xiao-yi1, JING Chang-qing1, WANG Gong-xin1, authorsList=WANG Xiao-yi, JING Chang-qing, WANG Gong-xin, authorCompany=1 College of Grassland Science, Xinjiang Agricultural University, Key Laboratory of Grassland Resources and Ecology, Key Laboratory of Grassland Resources and Ecology of Western Arid Region, Ministry of Education, Urumqi, Xinjiang 830052, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309573252658328032, articleId=1309573252410864095, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=基于Biome-BGCMuSo的草地碳/水通量参数优化及其对极端气候的响应, columnId=1309565024058835950, journalTitle=草地学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=不同草地生态系统碳/水循环对极端气候响应及其机制存在差异。本研究基于生物地球化学循环模型Biome-BGCMuSo(BGC with Multilayer Soil Module)结合涡度相关数据,通过敏感性分析和参数优化,探究了不同草地类型碳/水通量差异及其对极端气候的响应。结果表明,碳通量模拟对植被光合生理及碳分配参数敏感,水通量对叶片、根系参数敏感,且不同草地类型存在差异,优化高敏感参数可显著提升碳通量模拟精度,但水通量模拟仍有待进一步提高。生长季热浪期间,3种草地仍为碳汇,温性荒漠草原和山地草甸日间碳汇分别减弱28.7%和29.4%;极端降雨提升了3种草地的碳/水通量;干旱事件使温性荒漠草原碳汇增强62.5%,山地草甸碳汇减弱16.3%。本研究揭示了干旱-半干旱区草地碳/水循环对极端气候的不同响应机制,为预测气候变化下草地生态过程演变提供了科学依据。, authors=王晓毅1, 井长青1, 王公鑫1, authorsList=王晓毅, 井长青, 王公鑫, authorCompany=1 新疆农业大学草业学院, 新疆草地资源与生态重点实验室, 西部干旱荒漠区草地资源与生态教育部重点实验室, 新疆 乌鲁木齐 830052, correspAuthors=null, authorNote=王晓毅(2001-),女,汉族,新疆塔城人,硕士研究生,主要从事草地生态遥感研究,E-mail:17590823770@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=kPYURDCjUtULyjKgRj3HBQ==, pdfFileSize=4709707, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目 (42161024); 2025年中央财政林草科技推广示范项目 (新[2025]TG09号); 新疆农业大学研究生科研创新项目 (XJAUGRI2025001))}, authors=[Author(id=1320569853371593072, tenantId=1146029695717560320, journalId=null, articleId=1309573252410864095, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, 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基于Biome-BGCMuSo的草地碳/水通量参数优化及其对极端气候的响应
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王晓毅, 井长青, 王公鑫
草地学报 | 研究论文 2026,34(4): 1215-1228
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草地学报 |研究论文 2026 , 34 (4) : 1215 -1228
基于Biome-BGCMuSo的草地碳/水通量参数优化及其对极端气候的响应
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王晓毅, 井长青, 王公鑫
作者信息
作者简介:
王晓毅(2001-),女,汉族,新疆塔城人,硕士研究生,主要从事草地生态遥感研究,E-mail:17590823770@163.com
Optimization of Grassland Carbon/Water Flux Parameters Based on Biome-BGCMuSo and Their Responses to Extreme Climate
WANG Xiao-yi, JING Chang-qing, WANG Gong-xin
Affiliations
    1 College of Grassland Science, Xinjiang Agricultural University, Key Laboratory of Grassland Resources and Ecology, Key Laboratory of Grassland Resources and Ecology of Western Arid Region, Ministry of Education, Urumqi, Xinjiang 830052, China
doi: 10.11733/j.issn.1007-0435.2026.04.008
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不同草地生态系统碳/水循环对极端气候响应及其机制存在差异。本研究基于生物地球化学循环模型Biome-BGCMuSo(BGC with Multilayer Soil Module)结合涡度相关数据,通过敏感性分析和参数优化,探究了不同草地类型碳/水通量差异及其对极端气候的响应。结果表明,碳通量模拟对植被光合生理及碳分配参数敏感,水通量对叶片、根系参数敏感,且不同草地类型存在差异,优化高敏感参数可显著提升碳通量模拟精度,但水通量模拟仍有待进一步提高。生长季热浪期间,3种草地仍为碳汇,温性荒漠草原和山地草甸日间碳汇分别减弱28.7%和29.4%;极端降雨提升了3种草地的碳/水通量;干旱事件使温性荒漠草原碳汇增强62.5%,山地草甸碳汇减弱16.3%。本研究揭示了干旱-半干旱区草地碳/水循环对极端气候的不同响应机制,为预测气候变化下草地生态过程演变提供了科学依据。
Biome-BGCMuSo模型  /  草地碳/水通量  /  参数优化  /  极端气候事件
The responses of carbon/water cycles in different grassland ecosystems to extreme climatic events and the underlying mechanisms varied. This study, employed the biogeochemical cycle model Biome-BGCMuSo (BGC with Multilayer Soil Module), integrated with eddy covariance data,conducted sensitivity analysis and parameter optimization to investigate variations in carbon/water fluxes across different grassland types and their responses to extreme climates. The results showed that carbon flux simulations were sensitive to vegetation photosynthetic physiology and carbon allocation parameters, while water flux simulations were sensitive to leaf and root parameters, with variations across grassland types. Optimizing highly sensitive parameters significantly improved carbon flux simulation accuracy, but water flux simulations still require refinement. During growing season heatwaves, all three grassland types remained carbon sinks, though diurnal carbon sequestration decreased by 28.7% and 29.4% in temperate desert steppe and mountain meadows, respectively. Extreme rainfall enhanced carbon and water fluxes across all three grasslands. Drought events increased carbon sequestration by 62.5% in temperate desert steppe but decreased it by 16.3% in mountain meadows. This study reveals distinct response mechanisms of carbon and water cycles in grasslands of arid-semiarid regions to extreme climatic events, providing scientific basis for predicting the evolution of grassland ecological processes under climate change.
Biome-BGCMuSo model  /  Grassland carbon/Water fluxes  /  Parameters optimization  /  Extreme climate events
王晓毅, 井长青, 王公鑫. 基于Biome-BGCMuSo的草地碳/水通量参数优化及其对极端气候的响应. 草地学报, 2026 , 34 (4) : 1215 -1228 . DOI: 10.11733/j.issn.1007-0435.2026.04.008
WANG Xiao-yi, JING Chang-qing, WANG Gong-xin. Optimization of Grassland Carbon/Water Flux Parameters Based on Biome-BGCMuSo and Their Responses to Extreme Climate[J]. Acta Agrestia Sinica, 2026 , 34 (4) : 1215 -1228 . DOI: 10.11733/j.issn.1007-0435.2026.04.008

    国家自然科学基金项目 (42161024); 2025年中央财政林草科技推广示范项目 (新[2025]TG09号); 新疆农业大学研究生科研创新项目 (XJAUGRI2025001)

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YUAN C G,SONG Y H,TIAN M,et al. Study on soil carbon sequestration potential of wheat and maize double-cropping farmland based on century model—a case study of Xiangcheng County,Henan Province[J]. Chinese Agricultural Science Bulletin,2024,40(35):70-75 袁晨光,宋艳华,田梦,等. 基于Century模型的麦玉两熟农田土壤固碳潜力研究——以河南省襄城县为例[J]. 中国农学通报,2024,40(35):70-75
WU A Y,LI X L,ZHAO Y,et al. Simulation of soil organic carbon dynamics in farmland in Huainan City based on CENTURY model[J]. Journal of Hefei University of Technology (Natural Science),2024,47(10):1305-1313 吴安云,李湘凌,赵燕,等. 基于CENTURY模型的淮南市农田土壤有机碳动态模拟[J]. 合肥工业大学学报(自然科学版),2024,47(10):1305-1313
XING X L,WU M S,ZHU H J,et al. Optimized gross primary productivity over the croplands within the BEPS particle filtering data assimilation system (BEPS_PF v1. 0)[J]. Journal of Advances in Modeling Earth Systems,2025,17(1):e2024MS004412
SUN Q L,LI B L. Developing the biome-BGC model to estimate net primary productivity of alpine meadow on the Qinghai-Tibet Plateau[C]//2016 3rd International Conference on Information Science and Control Engineering (ICISCE). IEEE,2016:334-337
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JIANG L,ZHU T C,MA L G,et al. Responses of ecosystem’s carbon and water fluxes to global change on the Songnen steppe[J]. Science & Technology Review,2011,29(6):35-42 蒋丽,祝廷成,马略耕,等. 松嫩草地碳和水通量对全球变化的响应[J]. 科技导报,2011,29(6):35-42
WANG T H,WANG X F,ZHANG Q,et al. Effects of extreme temperature events on carbon fluxes in different ecosystems in the Heihe River Basin, China[J]. Agricultural and Forest Meteorology,2025,362:110380
CHAI H,MA J Y,ZHANG J W,et al. Nonlinear responses of ecosystem carbon fluxes to precipitation change in a semiarid grassland[J]. Frontiers in Plant Science,2025,16:1519879
ZHAO H C,JIA G S,WANG H S,et al. Seasonal and interannual variations in carbon fluxes in East Asia semi-arid grasslands[J]. Science of the Total Environment,2019,668:1128-1138
JOHNSTON S E,GUNAWARDANA P V S L,ROOD S B,et al. Multidecadal trends in organic carbon flux through a grassland river network shaped by human controls and climatic cycles[J]. Geophysical Research Letters,2022,49(4):e2021GL096885
LI Y. Temporal and spatial heterogeneity analysis of optimal value of sensitive parameters in ecological process model: The BIOME-BGC model as an example[D]. Yangling:Northwest A&F University,2018:14-16 李英. 生态过程模型参数敏感性的时空异质性分析——以Biome-BGC模型为例[D]. 杨凌:西北农林科技大学,2018:14-16
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2026年第34卷第4期
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doi: 10.11733/j.issn.1007-0435.2026.04.008
  • 接收时间:2025-05-26
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  • 收稿日期:2025-05-26
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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