Article(id=1309573260631695544, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573247344144835, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.04.024, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748880000000, receivedDateStr=2025-06-03, revisedDate=1752768000000, revisedDateStr=2025-07-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1790156196028, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790156196028, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790156196028, creator=13701087609, updateTime=1790156196028, updator=13701087609, issue=Issue{id=1309573247344144835, tenantId=1146029695717560320, journalId=1308397196074385509, year='2026', volume='34', issue='4', pageStart='1137', pageEnd='1556', issueExtLink='null', onlineDate='null', pubDate='1776182400000', pubDateStr='2026-04-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790156192860, creator='13701087609', updateTime=1790156800047, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309575794117144683, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573247344144835, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309575794117144684, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309573247344144835, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1413, endPage=1429, ext={EN=ArticleExt(id=1309573260984017082, articleId=1309573260631695544, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Impact of Climate Change on the Occurrence Trends of Five Grassland Poisonous Weeds in the Ili River Valley, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=To clarify the occurrence trends of poisonous weeds in grasslands under future climate change, and to scientifically prevent their spread and reduce economic losses in the livestock industry, this study based on the distribution data of five frequently occurring grassland poisonous weeds in the Ili River Valley: Sophora alopecuroides, Aconitum leucostomum, Xanthium spinosum, Rumex thianschanicus, and Peganum harmala—and combined with 55 influencing factors, employed the Maximum Entropy model to explore the impact of climate change on the occurrence trends of these five grassland poisonous weeds. The results showed that the prediction models for the five grassland poisonous weeds all had an accuracy greater than 0.8, indicating high precision. Under four future climate scenarios, the total potential occurrence area of Aconitum leucostomum decreased, while that of the other four grassland poisonous weeds increased. Under the medium-to-high emission scenario (SSP370), grassland poisonous weeds were more prone to expansion and posed greater risks. In terms of migration direction, in the future, Aconitum leucostomum, Rumex thianschanicus, and Peganum harmala would mainly migrate southward, Sophora alopecuroides would migrate eastward, and Xanthium spinosum would migrate toward the southeast and northeast, with an overall trend of grassland poisonous weeds migrating toward lower latitudes. Under the four future climate scenarios, the area of overlapping zones for multiple grassland poisonous weed species increased, with the largest overlapping area occurring under the high-emission scenario (SSP585). In conclusion, continuous increases in carbon emissions will exacerbate the spread and harm of grassland poisonous weeds., authors=CHEN Meng-tian1, LIU Wen-hao1, WANG Sheng-ju1, JIN Gui-li1, LI Jia-xin1, LI Wen-xiong1, DU Wen-lin1, LI Chao1, authorsList=CHEN Meng-tian, LIU Wen-hao, WANG Sheng-ju, JIN Gui-li, LI Jia-xin, LI Wen-xiong, DU Wen-lin, LI Chao, authorCompany=1 Xinjiang Agricultural University, 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=1309573260887548089, articleId=1309573260631695544, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=气候变化对伊犁河谷5种草原毒害草发生趋势的影响, columnId=1309565024058835950, journalTitle=草地学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=为明确未来气候变化下草原毒害草发生趋势,科学预防草原毒害草、降低畜牧业经济损失,本研究基于伊犁河谷5种频发草原毒害草:苦豆子(Sophora alopecuroides)、白喉乌头(Aconitum leucostomum)、刺苍耳(Xanthium spinosum)、天山酸模(Rumex thianschanicus)和骆驼蓬(Peganum harmala)的分布数据,结合55个影响因子,运用最大熵模型(Maximum Entropy, MaxEnt)探讨气候变化对5种草原毒害草发生趋势的影响。结果表明:5种草原毒害草预测模型精度均大于0.8,准确度较高;未来4种气候情景下,白喉乌头潜在发生区总面积缩减,其余4种草原毒害草潜在发生区总面积增加;中高排放的SSP370情景下草原毒害草更易扩张危害;从迁移方向看,未来白喉乌头、天山酸模、骆驼蓬主要向南迁移,苦豆子向东迁移,刺苍耳向东南和东北方向迁移,草原毒害草整体呈向低纬度方向迁移趋势;未来4种气候情景下,草原毒害草多物种重叠区面积均增加,高排放的SSP585情景下重叠区面积最大。综上,碳排放持续增加会加剧草原毒害草危害扩散。, authors=陈梦甜1, 刘文昊1, 王生菊1, 靳瑰丽1, 李嘉欣1, 李文雄1, 杜玟霖1, 李超1, authorsList=陈梦甜, 刘文昊, 王生菊, 靳瑰丽, 李嘉欣, 李文雄, 杜玟霖, 李超, authorCompany=1 新疆农业大学, 新疆 乌鲁木齐 830052, correspAuthors=null, authorNote=陈梦甜(2000-),女,汉族,河南驻马店人,硕士研究生,主要从事草地资源与生态研究,E-mail:2656356642@qq.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=tFQN5f+mecSGtq5AfjgHUg==, pdfFileSize=16943426, 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=第三次新疆综合科学考察项目 (2022xjkk0401))}, authors=null, keywords=[Keyword(id=1309573261126623420, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=CN, orderNo=1, keyword=草原毒害草), Keyword(id=1309573261189537981, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=CN, orderNo=2, keyword=MaxEnt模型), Keyword(id=1309573261252452542, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=CN, orderNo=3, keyword=趋势分析), Keyword(id=1309573261344727231, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=EN, orderNo=1, keyword=Grassland poisonous weed), Keyword(id=1309573261407641792, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=EN, orderNo=2, keyword=MaxEnt model), Keyword(id=1309573261487333569, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309573260631695544, language=EN, orderNo=3, keyword=Trend analysis)], refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1308395841968504927, delFlag=0, nameCn=草地学报, nameEn=Acta Agrestia Sinica, nameHistory1=null, nameHistory2=null, issn=1007-0435, eissn=null, cn=11-3362/S, coden=null, periodic=0, language=CN, oaType=null, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=gCdi9sXCX82eLR6S1d4VLg==, journalPrice=null, startedYear=null, abbrevIsoEn=Acta Agrestia Sinica, journalRemark=null, publicationField=null, createdTime=1789875477545, updatedTime=1789876241473, createdBy=18614031015, updatedBy=13701087609, firstLetterCn=C, firstLetterEn=C, subjectCode=Agriculture, subjectName=null, subjectCodeEn=Agriculture, subjectNameEn=null, picCn=gCdi9sXCX82eLR6S1d4VLg==, picEn=4dKqEDfsaGuyf+bpm/3gfw==, jcr=null, cjcr=null, exts=[JournalExt(id=1308399046192812446, language=CN, name=草地学报, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1789876241491, updatedTime=1789876241491, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/authorLogOn.action, submissionEditorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/editorLogOn.action, submissionReviewUrl=https://manu40.magtech.com.cn/JournalX_cdxb/expertLogOn.action, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""}), JournalExt(id=1308399046268309919, language=EN, name=Acta Agrestia Sinica, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1789876241509, updatedTime=1789876241509, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/authorLogOn.action, submissionEditorUrl=https://manu40.magtech.com.cn/JournalX_cdxb/editorLogOn.action, submissionReviewUrl=https://manu40.magtech.com.cn/JournalX_cdxb/expertLogOn.action, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""})], databaseList=null, tenantJournalId=1308397196074385509, websiteList=[Website(id=1308429426430071695, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1308397196074385509, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/cdxb/CN, language=CN, createTime=1789883484704, createBy=18614031015, updateTime=1789883745058, updateBy=18614031015, name=草地学报-中文, tplId=1146099689490845704, title=草地学报, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1308430669353340972, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=articleTextType, value=kx, createTime=1789883781040, updateTime=1789883781040, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669328175145, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=banner, value=null, createTime=1789883781034, updateTime=1789883781034, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669382701103, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=grayFlag, value=0, createTime=1789883781047, updateTime=1789883781047, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669319786536, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=logo, value=https://castjournals.cast.org.cn/joweb/cdxb/CN/file/pic?fileId=BZ28lIoKdB54MmA0z6K66g==, createTime=1789883781032, updateTime=1789883781032, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669395284017, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=minRunFlag, value=0, createTime=1789883781050, updateTime=1789883781050, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669344952363, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/cdxb/CN/file/pic, createTime=1789883781038, updateTime=1789883781038, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669391089712, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=silenceFlag, value=0, createTime=1789883781049, updateTime=1789883781049, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669336563754, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1789883781036, updateTime=1789883781036, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669361729581, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=themeColor, value=null, createTime=1789883781042, updateTime=1789883781042, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430669370118190, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426430071695, code=themeStyle, value=null, createTime=1789883781044, updateTime=1789883781044, creator=18614031015, updator=18614031015)]), Website(id=1308429426501374870, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1308397196074385509, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/cdxb/EN, language=EN, createTime=1789883484721, createBy=18614031015, updateTime=1789883716139, updateBy=18614031015, name=草地学报-英文, tplId=1146101810881728533, title=Acta Agrestia Sinica, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1308430635979264030, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=articleTextType, value=kx, createTime=1789883773083, updateTime=1789883773083, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635954098203, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=banner, value=null, createTime=1789883773077, updateTime=1789883773077, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636000235553, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=grayFlag, value=0, createTime=1789883773088, updateTime=1789883773088, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635945709594, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=logo, value=https://castjournals.cast.org.cn/joweb/cdxb/EN/file/pic?fileId=BZ28lIoKdB54MmA0z6K66g==, createTime=1789883773075, updateTime=1789883773075, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636012818467, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=minRunFlag, value=0, createTime=1789883773091, updateTime=1789883773091, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635970875421, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/cdxb/EN/file/pic, createTime=1789883773081, updateTime=1789883773081, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430636004429858, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=silenceFlag, value=0, createTime=1789883773089, updateTime=1789883773089, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635962486812, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_en_623/, createTime=1789883773079, updateTime=1789883773079, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635987652639, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=themeColor, value=null, createTime=1789883773085, updateTime=1789883773085, creator=18614031015, updator=18614031015), WebsiteProps(id=1308430635991846944, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1308429426501374870, code=themeStyle, value=null, createTime=1789883773086, updateTime=1789883773086, creator=18614031015, updator=18614031015)])], journalTitle=草地学报, weixinUrl=null, journalUrl=https://manu40.magtech.com.cn/Jweb_cdxb, iacademicId=null, status=1, seqNo=null, journalTitleEn=Acta Agrestia Sinica, journalPhotoCn=gCdi9sXCX82eLR6S1d4VLg==, journalPhotoEn=4dKqEDfsaGuyf+bpm/3gfw==, journalFirstLetter=C, journalRecommend=null, journalNew=null, journalCollection=null, jcrJf=null, cjcrJf=null, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/cdxb/CN/10.11733/j.issn.1007-0435.2026.04.024, detailUrlEn=https://castjournals.cast.org.cn/joweb/cdxb/EN/10.11733/j.issn.1007-0435.2026.04.024, pdfUrlCn=https://castjournals.cast.org.cn/joweb/cdxb/CN/PDF/10.11733/j.issn.1007-0435.2026.04.024, pdfUrlEn=https://castjournals.cast.org.cn/joweb/cdxb/EN/PDF/10.11733/j.issn.1007-0435.2026.04.024, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1776182400000, fullTextJson=null, articleText=null, reference=LIU M R,LIU S T,MA C Y,et al. Research progress of the responses of grassland plants and soil to the variation of temperature and precipitation[J]. Chinese Journal of Ecology,2024,43(12):3787-3796 刘明蕊,刘世婷,马春燕,等. 草地植物和土壤对温度和降水变化的响应研究进展[J]. 生态学杂志,2024,43(12):3787-3796 YU Z W,LIU Q,ZHANG Y Y,et al. Changes of NDVI and driving factors in different grasslands in the inner mongolia[J]. Acta Ecologica Sinca,2024,44(22):10068-10082 余志巍,刘强,张宇阳,等. 内蒙古不同草地NDVI变化及其驱动要素[J]. 生态学报,2024,44(22):10068-10082 WANG S J, LIU W H, JIN G L,et al. Temporal and spatial changes of grassland aboveground bio‐mass and its response to climate factors in Xinjiang[J]. Acta Agrestia Sinica,2025,33(7):2320-233 王生菊,刘文昊,靳瑰丽,等. 新疆草地地上生物量时空变化及对气候因子的响应[J]. 草地学报,2025,33(7):2320-2332 IPCC. Climate change 2021:the physical science basis [M]. Cambridge: Cambridge University Press,2021,50-144 FENG B,MENG X H,YANG X Y,et al. Temperature and precip‐itation assessment and extreme climate events prediction based on the coupled model intercomparison project phase 6 over the Qinghai-Xizang Plateau[J]. Plateau Meteorology,2025,44(2):265-278 冯波,孟宪红,杨显玉,等. 第六次国际耦合模式比较计划(CMIP6)中青藏高原气温和降水的适用性评估及极端气候事件变化预估[J]. 高原气象,2025,44(2):265-278 CHEN S S. Future Projection of seasonal-scale soil drought in china under the context of climate warming and vegetation change[D]. Nanjing:Nanjing University of Information Science and Technology,2024:1-97 陈思思. 气候增暖和植被变化背景下中国区域季节尺度土壤干旱未来预估[D]. 南京:南京信息工程大学,2024,1-97 WANG Q Z. Assessment of the impact of ecological andhydrological processes on agricultural waterscarcity in the Shiyang River Basin[D]. Lanzhou:Lanzhou University,2024:1-99 王清政. 石羊河流域生态水文过程对农业水资源短缺的影响评估[D]. 兰州:兰州大学,2024:1-99 HE J. The population and distribution of poisonous weed in altay region of xinjiang[D]. Urumqi:Xinjiang Agricultural University,2015,1-2 何静. 新疆阿勒泰地区毒害草的种群与分布[D]. 乌鲁木齐:新疆农业大学,2015:1-2 LIU Z B. Study on monitoring method of Aconitum leucostomum prevention effect based on unmanned aerial vehicl remote sensing[D]. Urumqi:Xinjiang Agricultural University,2022:1-53 刘智彪. 基于无人机遥感的白喉乌头防效监测方法的研究[D]. 乌鲁木齐:新疆农业大学,2022:1-53 YUE F Z,GAO S J,CHENG T T,et al. Current situation and prospect of pest controlin grassland of China[J]. Acta Agrestia Sinica,2021,29(8):1615-1620 岳方正,高书晶,程通通,等. 中国草原有害生物防治工作现状及展望[J]. 草地学报,2021,29(8):1615-1620 YAO Z Y,HAN Q F,LIN B,et al.Prediction of distribution area of main noxious and miscellaneous weeds in Xinjiang based on MaxEnt model[J]. Acta Ecologica Sinica,2023,43(12):5096-5109 姚政宇,韩其飞,林彬. 基于最大熵模型的新疆主要有毒杂草分布区预测,生态学报[J],2023,43(12):5096-5109 HAN X G,LI L H. Mechanisms of grassland ecosystem maintenance in inner mongolia[M]. Beijing:China Agricultural University Press,2012,83-102 韩兴国,李凌浩. 内蒙古草地生态系统维持机理[M]. 北京:中国农业大学出版社,2012,83-102 YU H Y,YU L P,YANG L P,et al. Analysis on the change of the yield and nutrient content of the edible forage and the grassland grazing capacity in the alpine grassland of maqu county[J]. China Herbivore Science,2020, 40(3): 40-46 俞慧云,俞联平,杨林平,等. 玛曲县高寒草地可食牧草产量和养分含量变化及草地承载力分析[J]. 中国草食动物科学, 2020, 40(3): 40-46 DYDERSKI M K, PAŹ S, FRELICH L E,et al. How much does climate change threaten European forest tree species distributions?[J]. Global Change Biology,2018,24(3):1150-1163 HU Z J,GUO K,JIN S L,et al. The influence of climatic changes on distribution pattern of six typical Kobresia species in Tibetan Plateau based on MaxEnt model and geographic information system[J]. Theoretical and Applied Climatology,2019,135:375-390 LIU L, GUAN L L, ZHAO H X,et al. Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China[J]. Ecological Informatics, 2021,63(4):101324 DONG C B,CHU B,HUA T,et al. Prediction of the geographic distribution of stellera chamaejasme on the Tibetan Plateau under future climate scenarios[J]. Chinese Journal of Grassland,2022,44(4):10-20 董瑞,楚彬,花蕊,等. 未来气候情景下青藏高原瑞香狼毒(Stellera chamaejasme)的地理分布预测[J]. 中国草地学报,2022,44(4):10-20 HUANG R J,DU H M,WEN Y T,et al. Predicting the distribution of suitable habitat of the poisonous weed Astragalus variabilis in China under current and future climate conditions[J]. Frontiers in Plant Science,2022,13: 921310 HUANG R J,ZHANG C Y,WEN Y T,et al. Predicting the Habitats of Achnatherum inebrians in China under current(1970-2000)and future climate conditions[J]. ACTA AGRESTIA SINICA,2022,30(10):2712-2720 黄睿杰,张春艳,温雨婷,等. 当前(1970-2000)与未来气候变化情境下中国醉马芨芨草潜在分布预测[J]. 草地学报,2022,30(10):2712-2720 LI H,CHEN W M,CHEN X,et al. Poisonous weed species and their harmfulness in the grassland of Yili regions,Xinjiang Uygur Autonomous Region of China[J]. Pratacultural Science,2010,27(11):171-173 李宏,陈卫民,陈翔,等. 新疆伊犁草原毒害草种类及其发生与危害[J]. 草业科学,2010,27(11):171-173 TAN X,WANG C W. Temporal and spatial evolution of ecosystem service value in Ili Valley and its driving factors[J]. Chinese Journal of Applied Ecology,2023,34(10):2747-2756 谈旭,王承武. 伊犁河谷生态系统服务价值时空演变及其驱动因素[J]. 应用生态学报,2023,34(10):2747-2756 GAO G,BAYAERTA,MENG G. Analysis of land resource types and current utilization in the Ili River Valley[J]. Gansu Agriculture,2007,(9):47-48 高格,巴雅尔塔,孟根. 伊犁河谷土地资源类型与利用现状分析[J]. 甘肃农业,2007,(9):47-48 YANG F F, HE H. Ecological environment assessment and ecological zoning construction in the Ili River Valley based on EVI-ESV[J]. Ecology and Environmental Sciences,2024,33(4):655-664 杨非凡,何浩. 基于“EVI-ESV”伊犁河谷生态环境评估及生态分区构建[J]. 生态环境学报,2024,33(4):655-664 ZHANG F,ZHU X M,ZHANG H,et al. Spatial-temporal variation of water use efficiency and its response with climate factors in Ili River Valley[J]. Environmental Ecology,2024,6(4):57-64 张发,祝小梅,张红,等. 伊犁河谷草地水分利用效率时空变化及其对气候因子的响应[J]. 环境生态学,2024,6(4):57-64 LIU F, ZHNAG H Q, DONG G L. Vegetation dynamics and precipitation sensitivity in Yili Valley grassland[J]. Resources Science,2014,36(8):1724-1731 刘芳,张红旗,董光龙. 伊犁河谷草地植被NDVI变化及其降水敏感性特征[J]. 资源科学,2014,36(8):1724-1731 WANG X F,DUAN Y X,JIN L L,et al. Prediction of historical,present and future distribution of Quercus sect. based on the optimized MaxEnt model in China[J]. Acta Ecologica Sinica,2023,43(16):6590-6604 王晓帆,段雨萱,金露露,等. 基于优化的最大熵模型预测中国高山栎组植物的历史、现状与未来分布变化[J]. 生态学报,2023,43(16):6590-6604 HOSSEINI N,GHORBANPOUR M,MOSTAFAVI H. The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction[J]. BMC Plant Biology, 2024, 24(1): 269 SU C X,CHU W W,PIELIZHATI Bahatibieke,et al. Potential distribution changes of Castor fiber birulai under climate changes in the upper reaches of the Ulungur River,Xinjiang[J].Arid Zone Research,2024,41(3):509-520 苏灿霞,初雯雯,撇力扎提·巴哈提别克,等. 气候变化下新疆乌伦古河上游蒙新河狸的潜在分布变化[J]. 干旱区研究,2024,41(3):509-520 ZHANG L X,CHEN X L,XIN X G. Short commentary on CMIP6 Scenario Model Intercomparison Project(ScenarioMIP)[J]. Climate Change Research,2019,15(5):519-525 张丽霞,陈晓龙,辛晓歌. CMIP6情景模式比较计划(ScenarioMIP)概况与评述[J]. 气候变化研究进展,2019,15(5):519-525 LI C H,WANG J J,CAI Z,et al. Prediction of potential suitable distribution area for pecan(Carya illinoinensis) in Jiangxi based on MaxEnt model[J]. Chinese Journal of Ecology,2025,44(5):1644-1652 李春晖,汪建军,蔡哲,等. 基于MaxEnt模型的薄壳山核桃在江西的潜在适生区预测[J]. 生态学杂志,2025,44(5):1644-1652 LUO C H,WANG W Y,HUNAG J X,et al. Predicting the impact of climate change on the habitat distribution of Grus nigricollis based on the MaxEnt model[J]. Chinese Journal of Applied Ecology,[31]2025,36(4):1251-1260 罗才红,汪皖渝,黄金夏,等. 基于MaxEnt模型预测气候变化对黑颈鹤栖息地分布的影响[J]. 应用生态学报,2025,36(4):1251-1260 LI F Y,DUAN G Z,FAN G H,et al. Predicting geographical distribution of Lema decempunctata with MaxEnt modeling[J]. Chinese Journal of Ecology,2025,44(6):2096-2104 李发毅,段国珍,樊光辉,等. 基于MaxEnt模型预测枸杞负泥虫潜在适生区[J].生态学杂志,2025,44(6):2096-2104 LI Y,LIU W H,JIN G L,et al. Analysis on spatial and temporal changes and driving forces of grassland area in Urumqi City[J]. Pratacultural Science,2024,41(3):561-573 李莹,刘文昊,靳瑰丽,等. 乌鲁木齐市草地面积时空变化特征及驱动力[J]. 草业科学,2024,41(3):561-573 ZHAGN W,ZHOU S L,YIN L. Evaluation of Susceptibility to Geological Hazard in Alpine Canyon Area Based on Optimized MaxEnt Model-A Case Study in Deqin County,Yunnan Province[J]. Journal of Catastrophology,2023,38(2):185-190 张伟,周松林,尹仑. 基于优化MaxEnt模型的高山峡谷区地质灾害易发性评价——以云南省德钦县为例[J]. 灾害学,2023,38(2):185-190 LIU X Y,TANG J M,YIN X J,et al. Predicting the suitable habitat of rare and endangered Yulania spach Species Using Optimization MaxEnt Modeling[J]. Journal of Northeast Forestry University,2025,53(1):64-72 李秀玉,唐继敏,殷晓洁,等. 应用优化最大熵模型的珍稀濒危玉兰属物种适生区预测[J]. 东北林业大学学报,2025,53(1):64-72 ZHU G P,QIAO H J. Effect of the Maxent model's complexity on the prediction of species potential distributions[J]. Biodiversity Science,2016,24(10):1189-1196 朱耿平,乔慧捷. MaxEnt模型复杂度对物种潜在分布区预测的影响[J]. 生物多样性,2016,24(10):1189-1196 ZHENG X Y,WANG Q T,TIAN Y J,et al. Prediction of potential suitable of tea shot-hole borer Euwallacea fornicatus in China based on MaxEnt model[J]. Journal of Plant Protection,2024,51(6):1518-1530 郑晓毅,王欽召,田语卿,等. 基于MaxEnt模型预测茶方胸小蠹在中国的潜在适生区[J]. 植物保护学报,2024,51(6):1518-1530 FREITAS G H, COSTA L M, SILVA P H, et al. Spatial ecology and conservation of the microendemic ovenbird Cipo Cinclodes (Cinclodes espinhacensis) from the Brazilian highlands[J]. Journal of Field Ornithology, 2019, 90(2): 128-142. DENG H Y,CHENG L,GUO L Z,et al. Distribution and development trends of farmland malignant weed Bromus tectorum L.in China under climate change[J]. Agricultural Research in the Arid Areas,2021,39(6):207-214 邓海艳,程亮,郭良芝,等. 气候变化下基于GIS的农田恶性杂草旱雀麦在中国的分布与发展趋势[J]. 干旱地区农业研究,2021,39(6):207-214 LIU T, XU J Y,ZHENG Y Q. Study on suitability zoning of Cynodon dactylon in China based on MaxEnt and ArcGIS[J]. Pratacultural Science,2025,42(9):2230-2243 刘恬,徐京亚,郑轶琦. 基于MaxEnt和ArcGIS的狗牙根在中国的适宜性区划研究[J].草业科学,2025,42(9):2230-2243 AKYOL A, ÖRÜCÜ Ö K, ARSLAN E S, et al. Predicting of the current and future geographical distribution of Laurus nobilis L. under the effects of climate change[J]. Environmental Monitoring and Assessment, 2023, 195(4): 459 WANG Y J, XIE L Y, ZHOU X Y, et al. Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model[J]. Ecology and Evolution, 2023, 13(10): e10597 ZHAO Q J, MOU D,Labacairen,et al. Distribution and prediction of hazard area of Aconitum gymnandrum in Qinghai Province[J]. Grassland and Turf,2025,45(1):161-172 赵啟军,牟丹,拉巴才仁,等. 青海省露蕊乌头的分布与危害区预测[J].草原与草坪,2025,45(1):161-172 QIAO N,LU C H, GUAN Z Y,et al. Simulated seasonal cycle of atmospheric mass in four future scenarios of the CMIP6 models:a nonlinear response to increasing greenhouse gases[J]. Transactions of Atmospheric Sciences,2024,47(6):867-880 乔年,卢楚翰,管兆勇,等. CMIP6模式未来情景下模拟的大气质量季节循环: 非线性变化[J]. 大气科学学报,2024,47(6):867-880 LU K, HE Y M, MAO W,et al. Potential geographical distribution and changes of Artemisia ordosica in China under future climate change[J]. Chinese Journal of Applied Ecology,2020,31(11):3758-3766 鲁客,贺一鸣,毛伟,等. 未来气候变化下黑沙蒿在中国的潜在地理分布及变迁[J]. 应用生态学报,2020,31(11):3758-3766 SHAN J A,ZHU R,YIN Z L,et al. Spatial and temporal variation of drought in Northwest China based on CMIP6 model[J]. Arid Zone Research,2024,41(5):717-729 山建安,朱睿,尹振良,等. 基于CMIP6模式的中国西北地区干旱时空变化[J]. 干旱区研究,2024,41(5):717-729 SAYIT HAMIT,NURBAY ABDUSHALIH,XU Z L,et al. Simulation of potential distribution patterns of the invasive plant species Xanthium spinosum L. (Bathurst burr) in Xinjiang under climate change[J]. Acta Ecologica Sinica,2019,39(5):1551-1559 塞依丁·海米提,努尔巴依·阿布都沙力克,许仲林,等. 气候变化情景下外来入侵植物刺苍耳在新疆的潜在分布格局模拟[J], 生态学报,2019,39(5):1551-1559 ZHOU T J,ZHOU L W,CHEN X L. Commentary on the Coupled Model Intercomparison Project Phase 6(CMIP6)[J]. Climate Change Research,2019,15(5):445-456 周天军,邹立维,陈晓龙. 第六次国际耦合模式比较计划(CMIP6)评述[J]. 气候变化研究进展,2019,15(5):445-456 WANG Y,LI H X,WANG H J,et al. Evaluation of CMIP6 model simulations of extreme precipitation in China and comparison with CMIP5[J]. Acta Meteorologica Sinica,2021,79(3):369-386 王予,李惠心,王会军,等. CMIP6全球气候模式对中国极端降水模拟能力的评估及其与CMIP5的比较[J]. 气象学报,2021,79(3):369-386 XU L,FAN Y,ZHENG J H,et al. Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China[J]. Science of the Total Environment, 2024, 912: 168829 He X H,Si J H,Zhu L,et al. Modeling habitat suitability of Hippophae rhamnoides L. using MaxEnt under climate change in China: A case study of H. r. sinensis and H. r. turkestanica[J]. Frontiers in Forests and Global Change,2023,5:1095784 LI W H,LI S Y,XU X W,et al. Predicting the potential distribution of Artemisia songarica in Xinjiang under climate change based on the MaxEnt model[J]. Arid Land Geography,2025,48(9):1578-1588 李文华,李生宇,徐新文,等. 基于MaxEnt模型预测气候变化下准噶尔沙蒿(Artemisia songarica)在新疆的潜在分布[J]. 干旱区地理,2025,48(9):1578-1588 QIAO S,WANG Y D,CHEN Y C,et al. Study on the influence of climate change on the distribution and future change of five Litsea species[J]. Acta Ecologica Sinica,2025,45(7):1-20 乔爽,汪阳东,陈益存,等. 气候变化对木姜子属五种植物分布的影响[J].生态学报,2025,45(7):3401-3420 THUILLER W. BIOMOD–optimizing predictions of species distributions and projecting potential future shifts under global change[J]. Global Change Biology, 2003, 9(10): 1353-1362)
To clarify the occurrence trends of poisonous weeds in grasslands under future climate change, and to scientifically prevent their spread and reduce economic losses in the livestock industry, this study based on the distribution data of five frequently occurring grassland poisonous weeds in the Ili River Valley: Sophora alopecuroides, Aconitum leucostomum, Xanthium spinosum, Rumex thianschanicus, and Peganum harmala—and combined with 55 influencing factors, employed the Maximum Entropy model to explore the impact of climate change on the occurrence trends of these five grassland poisonous weeds. The results showed that the prediction models for the five grassland poisonous weeds all had an accuracy greater than 0.8, indicating high precision. Under four future climate scenarios, the total potential occurrence area of Aconitum leucostomum decreased, while that of the other four grassland poisonous weeds increased. Under the medium-to-high emission scenario (SSP370), grassland poisonous weeds were more prone to expansion and posed greater risks. In terms of migration direction, in the future, Aconitum leucostomum, Rumex thianschanicus, and Peganum harmala would mainly migrate southward, Sophora alopecuroides would migrate eastward, and Xanthium spinosum would migrate toward the southeast and northeast, with an overall trend of grassland poisonous weeds migrating toward lower latitudes. Under the four future climate scenarios, the area of overlapping zones for multiple grassland poisonous weed species increased, with the largest overlapping area occurring under the high-emission scenario (SSP585). In conclusion, continuous increases in carbon emissions will exacerbate the spread and harm of grassland poisonous weeds.
Key words
Grassland poisonous weed
/
MaxEnt model
/
Trend analysis
CHEN Meng-tian, LIU Wen-hao, WANG Sheng-ju, JIN Gui-li, LI Jia-xin, LI Wen-xiong, DU Wen-lin, LI Chao.
Impact of Climate Change on the Occurrence Trends of Five Grassland Poisonous Weeds in the Ili River Valley[J].
Acta Agrestia Sinica,
2026
, 34
(4)
: 1413
-1429
.
DOI: 10.11733/j.issn.1007-0435.2026.04.024
基金
收起
第三次新疆综合科学考察项目 (2022xjkk0401)
参考文献
收起
文献
收起
参考文献引证文献
排序方式:
LIU M R,LIU S T,MA C Y,et al. Research progress of the responses of grassland plants and soil to the variation of temperature and precipitation[J]. Chinese Journal of Ecology,2024,43(12):3787-3796 刘明蕊,刘世婷,马春燕,等. 草地植物和土壤对温度和降水变化的响应研究进展[J]. 生态学杂志,2024,43(12):3787-3796 YU Z W,LIU Q,ZHANG Y Y,et al. Changes of NDVI and driving factors in different grasslands in the inner mongolia[J]. Acta Ecologica Sinca,2024,44(22):10068-10082 余志巍,刘强,张宇阳,等. 内蒙古不同草地NDVI变化及其驱动要素[J]. 生态学报,2024,44(22):10068-10082 WANG S J, LIU W H, JIN G L,et al. Temporal and spatial changes of grassland aboveground bio‐mass and its response to climate factors in Xinjiang[J]. Acta Agrestia Sinica,2025,33(7):2320-233 王生菊,刘文昊,靳瑰丽,等. 新疆草地地上生物量时空变化及对气候因子的响应[J]. 草地学报,2025,33(7):2320-2332 IPCC. Climate change 2021:the physical science basis [M]. Cambridge: Cambridge University Press,2021,50-144 FENG B,MENG X H,YANG X Y,et al. Temperature and precip‐itation assessment and extreme climate events prediction based on the coupled model intercomparison project phase 6 over the Qinghai-Xizang Plateau[J]. Plateau Meteorology,2025,44(2):265-278 冯波,孟宪红,杨显玉,等. 第六次国际耦合模式比较计划(CMIP6)中青藏高原气温和降水的适用性评估及极端气候事件变化预估[J]. 高原气象,2025,44(2):265-278 CHEN S S. Future Projection of seasonal-scale soil drought in china under the context of climate warming and vegetation change[D]. Nanjing:Nanjing University of Information Science and Technology,2024:1-97 陈思思. 气候增暖和植被变化背景下中国区域季节尺度土壤干旱未来预估[D]. 南京:南京信息工程大学,2024,1-97 WANG Q Z. Assessment of the impact of ecological andhydrological processes on agricultural waterscarcity in the Shiyang River Basin[D]. Lanzhou:Lanzhou University,2024:1-99 王清政. 石羊河流域生态水文过程对农业水资源短缺的影响评估[D]. 兰州:兰州大学,2024:1-99 HE J. The population and distribution of poisonous weed in altay region of xinjiang[D]. Urumqi:Xinjiang Agricultural University,2015,1-2 何静. 新疆阿勒泰地区毒害草的种群与分布[D]. 乌鲁木齐:新疆农业大学,2015:1-2 LIU Z B. Study on monitoring method of Aconitum leucostomum prevention effect based on unmanned aerial vehicl remote sensing[D]. Urumqi:Xinjiang Agricultural University,2022:1-53 刘智彪. 基于无人机遥感的白喉乌头防效监测方法的研究[D]. 乌鲁木齐:新疆农业大学,2022:1-53 YUE F Z,GAO S J,CHENG T T,et al. Current situation and prospect of pest controlin grassland of China[J]. Acta Agrestia Sinica,2021,29(8):1615-1620 岳方正,高书晶,程通通,等. 中国草原有害生物防治工作现状及展望[J]. 草地学报,2021,29(8):1615-1620 YAO Z Y,HAN Q F,LIN B,et al.Prediction of distribution area of main noxious and miscellaneous weeds in Xinjiang based on MaxEnt model[J]. Acta Ecologica Sinica,2023,43(12):5096-5109 姚政宇,韩其飞,林彬. 基于最大熵模型的新疆主要有毒杂草分布区预测,生态学报[J],2023,43(12):5096-5109 HAN X G,LI L H. Mechanisms of grassland ecosystem maintenance in inner mongolia[M]. Beijing:China Agricultural University Press,2012,83-102 韩兴国,李凌浩. 内蒙古草地生态系统维持机理[M]. 北京:中国农业大学出版社,2012,83-102 YU H Y,YU L P,YANG L P,et al. Analysis on the change of the yield and nutrient content of the edible forage and the grassland grazing capacity in the alpine grassland of maqu county[J]. China Herbivore Science,2020, 40(3): 40-46 俞慧云,俞联平,杨林平,等. 玛曲县高寒草地可食牧草产量和养分含量变化及草地承载力分析[J]. 中国草食动物科学, 2020, 40(3): 40-46 DYDERSKI M K, PAŹ S, FRELICH L E,et al. How much does climate change threaten European forest tree species distributions?[J]. Global Change Biology,2018,24(3):1150-1163 HU Z J,GUO K,JIN S L,et al. The influence of climatic changes on distribution pattern of six typical Kobresia species in Tibetan Plateau based on MaxEnt model and geographic information system[J]. Theoretical and Applied Climatology,2019,135:375-390 LIU L, GUAN L L, ZHAO H X,et al. Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China[J]. Ecological Informatics, 2021,63(4):101324 DONG C B,CHU B,HUA T,et al. Prediction of the geographic distribution of stellera chamaejasme on the Tibetan Plateau under future climate scenarios[J]. Chinese Journal of Grassland,2022,44(4):10-20 董瑞,楚彬,花蕊,等. 未来气候情景下青藏高原瑞香狼毒(Stellera chamaejasme)的地理分布预测[J]. 中国草地学报,2022,44(4):10-20 HUANG R J,DU H M,WEN Y T,et al. Predicting the distribution of suitable habitat of the poisonous weed Astragalus variabilis in China under current and future climate conditions[J]. Frontiers in Plant Science,2022,13: 921310 HUANG R J,ZHANG C Y,WEN Y T,et al. Predicting the Habitats of Achnatherum inebrians in China under current(1970-2000)and future climate conditions[J]. ACTA AGRESTIA SINICA,2022,30(10):2712-2720 黄睿杰,张春艳,温雨婷,等. 当前(1970-2000)与未来气候变化情境下中国醉马芨芨草潜在分布预测[J]. 草地学报,2022,30(10):2712-2720 LI H,CHEN W M,CHEN X,et al. Poisonous weed species and their harmfulness in the grassland of Yili regions,Xinjiang Uygur Autonomous Region of China[J]. Pratacultural Science,2010,27(11):171-173 李宏,陈卫民,陈翔,等. 新疆伊犁草原毒害草种类及其发生与危害[J]. 草业科学,2010,27(11):171-173 TAN X,WANG C W. Temporal and spatial evolution of ecosystem service value in Ili Valley and its driving factors[J]. Chinese Journal of Applied Ecology,2023,34(10):2747-2756 谈旭,王承武. 伊犁河谷生态系统服务价值时空演变及其驱动因素[J]. 应用生态学报,2023,34(10):2747-2756 GAO G,BAYAERTA,MENG G. Analysis of land resource types and current utilization in the Ili River Valley[J]. Gansu Agriculture,2007,(9):47-48 高格,巴雅尔塔,孟根. 伊犁河谷土地资源类型与利用现状分析[J]. 甘肃农业,2007,(9):47-48 YANG F F, HE H. Ecological environment assessment and ecological zoning construction in the Ili River Valley based on EVI-ESV[J]. Ecology and Environmental Sciences,2024,33(4):655-664 杨非凡,何浩. 基于“EVI-ESV”伊犁河谷生态环境评估及生态分区构建[J]. 生态环境学报,2024,33(4):655-664 ZHANG F,ZHU X M,ZHANG H,et al. Spatial-temporal variation of water use efficiency and its response with climate factors in Ili River Valley[J]. Environmental Ecology,2024,6(4):57-64 张发,祝小梅,张红,等. 伊犁河谷草地水分利用效率时空变化及其对气候因子的响应[J]. 环境生态学,2024,6(4):57-64 LIU F, ZHNAG H Q, DONG G L. Vegetation dynamics and precipitation sensitivity in Yili Valley grassland[J]. Resources Science,2014,36(8):1724-1731 刘芳,张红旗,董光龙. 伊犁河谷草地植被NDVI变化及其降水敏感性特征[J]. 资源科学,2014,36(8):1724-1731 WANG X F,DUAN Y X,JIN L L,et al. Prediction of historical,present and future distribution of Quercus sect. based on the optimized MaxEnt model in China[J]. Acta Ecologica Sinica,2023,43(16):6590-6604 王晓帆,段雨萱,金露露,等. 基于优化的最大熵模型预测中国高山栎组植物的历史、现状与未来分布变化[J]. 生态学报,2023,43(16):6590-6604 HOSSEINI N,GHORBANPOUR M,MOSTAFAVI H. The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction[J]. BMC Plant Biology, 2024, 24(1): 269 SU C X,CHU W W,PIELIZHATI Bahatibieke,et al. Potential distribution changes of Castor fiber birulai under climate changes in the upper reaches of the Ulungur River,Xinjiang[J].Arid Zone Research,2024,41(3):509-520 苏灿霞,初雯雯,撇力扎提·巴哈提别克,等. 气候变化下新疆乌伦古河上游蒙新河狸的潜在分布变化[J]. 干旱区研究,2024,41(3):509-520 ZHANG L X,CHEN X L,XIN X G. Short commentary on CMIP6 Scenario Model Intercomparison Project(ScenarioMIP)[J]. Climate Change Research,2019,15(5):519-525 张丽霞,陈晓龙,辛晓歌. CMIP6情景模式比较计划(ScenarioMIP)概况与评述[J]. 气候变化研究进展,2019,15(5):519-525 LI C H,WANG J J,CAI Z,et al. Prediction of potential suitable distribution area for pecan(Carya illinoinensis) in Jiangxi based on MaxEnt model[J]. Chinese Journal of Ecology,2025,44(5):1644-1652 李春晖,汪建军,蔡哲,等. 基于MaxEnt模型的薄壳山核桃在江西的潜在适生区预测[J]. 生态学杂志,2025,44(5):1644-1652 LUO C H,WANG W Y,HUNAG J X,et al. Predicting the impact of climate change on the habitat distribution of Grus nigricollis based on the MaxEnt model[J]. Chinese Journal of Applied Ecology,[31]2025,36(4):1251-1260 罗才红,汪皖渝,黄金夏,等. 基于MaxEnt模型预测气候变化对黑颈鹤栖息地分布的影响[J]. 应用生态学报,2025,36(4):1251-1260 LI F Y,DUAN G Z,FAN G H,et al. Predicting geographical distribution of Lema decempunctata with MaxEnt modeling[J]. Chinese Journal of Ecology,2025,44(6):2096-2104 李发毅,段国珍,樊光辉,等. 基于MaxEnt模型预测枸杞负泥虫潜在适生区[J].生态学杂志,2025,44(6):2096-2104 LI Y,LIU W H,JIN G L,et al. Analysis on spatial and temporal changes and driving forces of grassland area in Urumqi City[J]. Pratacultural Science,2024,41(3):561-573 李莹,刘文昊,靳瑰丽,等. 乌鲁木齐市草地面积时空变化特征及驱动力[J]. 草业科学,2024,41(3):561-573 ZHAGN W,ZHOU S L,YIN L. Evaluation of Susceptibility to Geological Hazard in Alpine Canyon Area Based on Optimized MaxEnt Model-A Case Study in Deqin County,Yunnan Province[J]. Journal of Catastrophology,2023,38(2):185-190 张伟,周松林,尹仑. 基于优化MaxEnt模型的高山峡谷区地质灾害易发性评价——以云南省德钦县为例[J]. 灾害学,2023,38(2):185-190 LIU X Y,TANG J M,YIN X J,et al. Predicting the suitable habitat of rare and endangered Yulania spach Species Using Optimization MaxEnt Modeling[J]. Journal of Northeast Forestry University,2025,53(1):64-72 李秀玉,唐继敏,殷晓洁,等. 应用优化最大熵模型的珍稀濒危玉兰属物种适生区预测[J]. 东北林业大学学报,2025,53(1):64-72 ZHU G P,QIAO H J. Effect of the Maxent model's complexity on the prediction of species potential distributions[J]. Biodiversity Science,2016,24(10):1189-1196 朱耿平,乔慧捷. MaxEnt模型复杂度对物种潜在分布区预测的影响[J]. 生物多样性,2016,24(10):1189-1196 ZHENG X Y,WANG Q T,TIAN Y J,et al. Prediction of potential suitable of tea shot-hole borer Euwallacea fornicatus in China based on MaxEnt model[J]. Journal of Plant Protection,2024,51(6):1518-1530 郑晓毅,王欽召,田语卿,等. 基于MaxEnt模型预测茶方胸小蠹在中国的潜在适生区[J]. 植物保护学报,2024,51(6):1518-1530 FREITAS G H, COSTA L M, SILVA P H, et al. Spatial ecology and conservation of the microendemic ovenbird Cipo Cinclodes (Cinclodes espinhacensis) from the Brazilian highlands[J]. Journal of Field Ornithology, 2019, 90(2): 128-142. DENG H Y,CHENG L,GUO L Z,et al. Distribution and development trends of farmland malignant weed Bromus tectorum L.in China under climate change[J]. Agricultural Research in the Arid Areas,2021,39(6):207-214 邓海艳,程亮,郭良芝,等. 气候变化下基于GIS的农田恶性杂草旱雀麦在中国的分布与发展趋势[J]. 干旱地区农业研究,2021,39(6):207-214 LIU T, XU J Y,ZHENG Y Q. Study on suitability zoning of Cynodon dactylon in China based on MaxEnt and ArcGIS[J]. Pratacultural Science,2025,42(9):2230-2243 刘恬,徐京亚,郑轶琦. 基于MaxEnt和ArcGIS的狗牙根在中国的适宜性区划研究[J].草业科学,2025,42(9):2230-2243 AKYOL A, ÖRÜCÜ Ö K, ARSLAN E S, et al. Predicting of the current and future geographical distribution of Laurus nobilis L. under the effects of climate change[J]. Environmental Monitoring and Assessment, 2023, 195(4): 459 WANG Y J, XIE L Y, ZHOU X Y, et al. Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model[J]. Ecology and Evolution, 2023, 13(10): e10597 ZHAO Q J, MOU D,Labacairen,et al. Distribution and prediction of hazard area of Aconitum gymnandrum in Qinghai Province[J]. Grassland and Turf,2025,45(1):161-172 赵啟军,牟丹,拉巴才仁,等. 青海省露蕊乌头的分布与危害区预测[J].草原与草坪,2025,45(1):161-172 QIAO N,LU C H, GUAN Z Y,et al. Simulated seasonal cycle of atmospheric mass in four future scenarios of the CMIP6 models:a nonlinear response to increasing greenhouse gases[J]. Transactions of Atmospheric Sciences,2024,47(6):867-880 乔年,卢楚翰,管兆勇,等. CMIP6模式未来情景下模拟的大气质量季节循环: 非线性变化[J]. 大气科学学报,2024,47(6):867-880 LU K, HE Y M, MAO W,et al. Potential geographical distribution and changes of Artemisia ordosica in China under future climate change[J]. Chinese Journal of Applied Ecology,2020,31(11):3758-3766 鲁客,贺一鸣,毛伟,等. 未来气候变化下黑沙蒿在中国的潜在地理分布及变迁[J]. 应用生态学报,2020,31(11):3758-3766 SHAN J A,ZHU R,YIN Z L,et al. Spatial and temporal variation of drought in Northwest China based on CMIP6 model[J]. Arid Zone Research,2024,41(5):717-729 山建安,朱睿,尹振良,等. 基于CMIP6模式的中国西北地区干旱时空变化[J]. 干旱区研究,2024,41(5):717-729 SAYIT HAMIT,NURBAY ABDUSHALIH,XU Z L,et al. Simulation of potential distribution patterns of the invasive plant species Xanthium spinosum L. (Bathurst burr) in Xinjiang under climate change[J]. Acta Ecologica Sinica,2019,39(5):1551-1559 塞依丁·海米提,努尔巴依·阿布都沙力克,许仲林,等. 气候变化情景下外来入侵植物刺苍耳在新疆的潜在分布格局模拟[J], 生态学报,2019,39(5):1551-1559 ZHOU T J,ZHOU L W,CHEN X L. Commentary on the Coupled Model Intercomparison Project Phase 6(CMIP6)[J]. Climate Change Research,2019,15(5):445-456 周天军,邹立维,陈晓龙. 第六次国际耦合模式比较计划(CMIP6)评述[J]. 气候变化研究进展,2019,15(5):445-456 WANG Y,LI H X,WANG H J,et al. Evaluation of CMIP6 model simulations of extreme precipitation in China and comparison with CMIP5[J]. Acta Meteorologica Sinica,2021,79(3):369-386 王予,李惠心,王会军,等. CMIP6全球气候模式对中国极端降水模拟能力的评估及其与CMIP5的比较[J]. 气象学报,2021,79(3):369-386 XU L,FAN Y,ZHENG J H,et al. Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China[J]. Science of the Total Environment, 2024, 912: 168829 He X H,Si J H,Zhu L,et al. Modeling habitat suitability of Hippophae rhamnoides L. using MaxEnt under climate change in China: A case study of H. r. sinensis and H. r. turkestanica[J]. Frontiers in Forests and Global Change,2023,5:1095784 LI W H,LI S Y,XU X W,et al. Predicting the potential distribution of Artemisia songarica in Xinjiang under climate change based on the MaxEnt model[J]. Arid Land Geography,2025,48(9):1578-1588 李文华,李生宇,徐新文,等. 基于MaxEnt模型预测气候变化下准噶尔沙蒿(Artemisia songarica)在新疆的潜在分布[J]. 干旱区地理,2025,48(9):1578-1588 QIAO S,WANG Y D,CHEN Y C,et al. Study on the influence of climate change on the distribution and future change of five Litsea species[J]. Acta Ecologica Sinica,2025,45(7):1-20 乔爽,汪阳东,陈益存,等. 气候变化对木姜子属五种植物分布的影响[J].生态学报,2025,45(7):3401-3420 THUILLER W. BIOMOD–optimizing predictions of species distributions and projecting potential future shifts under global change[J]. Global Change Biology, 2003, 9(10): 1353-1362