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Article(id=1314918513278542509, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748448000000, receivedDateStr=2025-05-29, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430603570, onlineDateStr=2026-10-08, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430603570, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430603570, creator=13701087609, updateTime=1791430603570, updator=13701087609, issue=Issue{id=1314918450573701162, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='12', pageStart='6513', pageEnd='7104', issueExtLink='null', onlineDate='null', pubDate='1766160000000', pubDateStr='2025-12-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430588620, creator='13701087609', updateTime=1791431575400, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922589479333965, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922589479333966, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6832, endPage=6840, ext={EN=ArticleExt(id=1314918513484063406, articleId=1314918513278542509, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Phenological dynamics of Stipa krylovii steppe and their responses to air temperature, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

This study focuses on the phenological changes of Stipa krylovii steppe in Inner Mongolia and their responses to the maximum and the minimum air temperature, based on MODIS NDVI data and corresponding ground-based phenological observations from 2000 to 2024. The HANTS method was employed to reconstruct NDVI time series, and the start of season (SOS) and the end of season (EOS) were obtained using a dynamic threshold method. The results showed that: (1) the thresholds of 50% for SOS and 65% for EOS resulted in the lowest extraction errors, with RMSE values of 8d and 11d, respectively; (2) from 2000to 2024, the SOS advanced at a rate of 0.32d/10a, while the EOS was delayed at a rate of 0.12d/10a, indicating a prolonged growing season; (3) the EOS was more sensitive to air temperature than the SOS, the daytime mean maximum temperature had a significantly stronger advancing effect on EOS than the nighttime mean minimum temperature. This study determined the remote sensing-based optimal thresholds of Stipa krylovii steppe phenology, revealed the effect of air temperature on phenological change, and provided a scientific basis for steppe management under climate change.

, authors=Jin WANG1, Guang-sheng ZHOU2, *, Qi-jin HE3, 4, Li ZHOU2, 5, Mamtimin Ali1, Shuai SUN1, Yu WANG1, authorsList=Jin WANG, Guang-sheng ZHOU, Qi-jin HE, Li ZHOU, Mamtimin Ali, Shuai SUN, Yu WANG, authorCompany=null, correspAuthors=Guang-sheng ZHOU, 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=1314918513739915951, articleId=1314918513278542509, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=克氏针茅草原植被物候变化及其对气温的响应, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

基于2000~2024年MODIS NDVI遥感数据与地面物候观测资料，以内蒙古克氏针茅草原为研究对象，采用HANTS方法重建NDVI时间序列，并结合动态阈值法提取植被物候始期（SOS）与末期（EOS），评估并确定最优阈值，同时探讨其与平均最高和最低气温因子的关系．结果表明：（1）在50%和65%阈值下提取SOS和EOS的提取误差最小，RMSE分别为8和11d；（2）2000~2024年间，SOS以0.32d/10a的速率提前，EOS以0.12d/10a的速率推迟，表明草地生长季呈延长趋势；（3）EOS对气温变化的敏感性高于SOS，其中日间平均最高气温对EOS的提前作用明显强于夜间平均最低气温．该研究探索了遥感监测克氏针茅草原植被物候的最优阈值，揭示了气温主导下草地物候的变化规律，为气候变化背景下草地植被生产指导提供了依据．

, authors=王进1, 周广胜2, *, 何奇瑾3, 4, 周莉2, 5, 买买提艾力·买买提依明1, 孙帅1, 王豫1, authorsList=王进, 周广胜, 何奇瑾, 周莉, 买买提艾力·买买提依明, 孙帅, 王豫, authorCompany=null, correspAuthors=周广胜, authorNote=

王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

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* 责任作者，研究员，
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王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

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王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

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克氏针茅草原植被物候变化及其对气温的响应
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王进 1 , 周广胜 2, * , 何奇瑾 3, 4 , 周莉 2, 5 , 买买提艾力·买买提依明 1 , 孙帅 1 , 王豫 1
中国环境科学 | 环境生态 2025,45(12): 6832-6840
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中国环境科学 |环境生态 2025 , 45 (12) : 6832 -6840
克氏针茅草原植被物候变化及其对气温的响应
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王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

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王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

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王进1 , 周广胜2, * , 何奇瑾3, 4, 周莉2, 5, 买买提艾力·买买提依明1, 孙帅1, 王豫1
作者信息
  • 1.中国气象局乌鲁木齐沙漠气象研究所/中国气象局阿克达拉大气本底野外科学试验基地/乌兰乌苏生态与农业气象新疆野外科学观测研究站，新疆 乌鲁木齐 830002
  • 2.中国气象科学研究院灾害天气科学与技术国家重点实验室/河北固城农业气象国家野外科学观测研究站，北京 100081
  • 3.南京信息工程大学气象灾害预报预警与评估协同创新中心，江苏 南京 210044
  • 4.中国农业大学资源与环境学院，北京 100193
  • 5.中国气象局-中国农业大学农业应对气候变化联合实验室，北京 100081
通讯作者:
* 责任作者，研究员，
作者简介:

王进（1997-），男，贵州纳雍人，研究实习员，硕士研究生，主要从事植被物候遥感监测．发表论文4篇．.

Phenological dynamics of Stipa krylovii steppe and their responses to air temperature
Jin WANG1 , Guang-sheng ZHOU2, * , Qi-jin HE3, 4, Li ZHOU2, 5, Mamtimin Ali1, Shuai SUN1, Yu WANG1
Affiliations
  • 1.Institute of Desert Meteorology/Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration/Wulanwusu Ecology and Agrometeorology Observation and Research Station of Xinjiang, Urumqi 830002, China
  • 2.State Key Laboratory of Severe Weather Science and Technology (LaSW)/Hebei Gucheng Agricultural Meteorology National Observation and Research Station, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 3.Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
  • 4.College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
  • 5.CMA-CAU Jointly Laboratory of Agriculture Addressing Climate Change, Beijing 100081, China
出版时间: 2025-12-20
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基于2000~2024年MODIS NDVI遥感数据与地面物候观测资料，以内蒙古克氏针茅草原为研究对象，采用HANTS方法重建NDVI时间序列，并结合动态阈值法提取植被物候始期（SOS）与末期（EOS），评估并确定最优阈值，同时探讨其与平均最高和最低气温因子的关系．结果表明：（1）在50%和65%阈值下提取SOS和EOS的提取误差最小，RMSE分别为8和11d；（2）2000~2024年间，SOS以0.32d/10a的速率提前，EOS以0.12d/10a的速率推迟，表明草地生长季呈延长趋势；（3）EOS对气温变化的敏感性高于SOS，其中日间平均最高气温对EOS的提前作用明显强于夜间平均最低气温．该研究探索了遥感监测克氏针茅草原植被物候的最优阈值，揭示了气温主导下草地物候的变化规律，为气候变化背景下草地植被生产指导提供了依据．

植被物候  /  动态阈值法  /  NDVI  /  气温  /  克氏针茅草原

This study focuses on the phenological changes of Stipa krylovii steppe in Inner Mongolia and their responses to the maximum and the minimum air temperature, based on MODIS NDVI data and corresponding ground-based phenological observations from 2000 to 2024. The HANTS method was employed to reconstruct NDVI time series, and the start of season (SOS) and the end of season (EOS) were obtained using a dynamic threshold method. The results showed that: (1) the thresholds of 50% for SOS and 65% for EOS resulted in the lowest extraction errors, with RMSE values of 8d and 11d, respectively; (2) from 2000to 2024, the SOS advanced at a rate of 0.32d/10a, while the EOS was delayed at a rate of 0.12d/10a, indicating a prolonged growing season; (3) the EOS was more sensitive to air temperature than the SOS, the daytime mean maximum temperature had a significantly stronger advancing effect on EOS than the nighttime mean minimum temperature. This study determined the remote sensing-based optimal thresholds of Stipa krylovii steppe phenology, revealed the effect of air temperature on phenological change, and provided a scientific basis for steppe management under climate change.

vegetation phenology  /  dynamic threshold method  /  NDVI  /  air temperature  /  Stipa krylovii steppe
王进, 周广胜, 何奇瑾, 周莉, 买买提艾力·买买提依明, 孙帅, 王豫. 克氏针茅草原植被物候变化及其对气温的响应. 中国环境科学, 2025 , 45 (12) : 6832 -6840 .
Jin WANG, Guang-sheng ZHOU, Qi-jin HE, Li ZHOU, Mamtimin Ali, Shuai SUN, Yu WANG. Phenological dynamics of Stipa krylovii steppe and their responses to air temperature[J]. China Environmental Science, 2025 , 45 (12) : 6832 -6840 .
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  • 国家自然科学基金重点项目(42130514)
  • 中国气象科学研究院科技发展基金项目(2021KJ034)
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2025年第45卷第12期
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  • 接收时间：2025-05-29
  • 首发时间：2026-10-08
  • 出版时间：2025-12-20
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  • 收稿日期：2025-05-29
基金
国家自然科学基金重点项目(42130514)
中国气象科学研究院科技发展基金项目(2021KJ034)
作者信息
    1.中国气象局乌鲁木齐沙漠气象研究所/中国气象局阿克达拉大气本底野外科学试验基地/乌兰乌苏生态与农业气象新疆野外科学观测研究站，新疆 乌鲁木齐 830002
    2.中国气象科学研究院灾害天气科学与技术国家重点实验室/河北固城农业气象国家野外科学观测研究站，北京 100081
    3.南京信息工程大学气象灾害预报预警与评估协同创新中心，江苏 南京 210044
    4.中国农业大学资源与环境学院，北京 100193
    5.中国气象局-中国农业大学农业应对气候变化联合实验室，北京 100081

通讯作者:

* 责任作者，研究员，
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2种不同金属材料的力学参数
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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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