Article(id=1314918590676037816, 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=1746460800000, receivedDateStr=2025-05-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430622022, onlineDateStr=2026-10-08, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430622022, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430622022, creator=13701087609, updateTime=1791430622022, 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=6779, endPage=6792, ext={EN=ArticleExt(id=1314918590889947321, articleId=1314918590676037816, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Analysis of spatiotemporal evolution and driving forces of habitat quality in Gannan Tibetan Autonomous Prefecture at the county-level scale, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

Based on the InVEST model and integrating the use of the Geodetector and Geographically Weighted Regression (GWR) model, this paper dynamically analyzed the spatio-temporal evolution characteristics and driving mechanisms of habitat quality in Gannan Prefecture at the county scale from 2000 to 2020. The results show that: 1) From 2000 to 2020, habitat quality continuously deteriorated, with an average annual decline rate of 0.0016a^-1. The spatial distribution was relatively stable, showing a pattern of high in the southwest and low in the northwest-southeast. Hotspots were concentrated in Maqu County and Luqu County, while coldspots were distributed in a band or patch form around towns and in areas with dense road networks, mainly consisting of construction land and cultivated land. 2) The mutual conversion of land use types had a negative impact on habitat quality, with a cumulative decline of 0.031 in the habitat quality index. The conversion from forest land and cultivated land to grassland and from cultivated land to forest land were the main types that improved habitat quality. However, the conversion from ecological land to living and production land and from grassland to cultivated land was continuously expanding, with an average annual conversion area of 20.22 and 194.05km² respectively, further intensifying the risk of habitat degradation. 3) Elevation (0.459), average annual temperature (0.433), average annual precipitation (0.349), average annual evaporation (0.345), GDP (0.274), and population (0.269) were the main driving factors of habitat quality differentiation, and the interaction between these factors was nonlinearly enhanced or double-factor enhanced. The interaction between elevation and other factors was the strongest, with a contribution rate of over 45%, which had a decisive influence on the spatial distribution of habitat quality. 4) The impact of different factors on habitat quality in space was significantly different (P < 0.05). Average annual temperature, average annual evaporation, GDP, and population mainly had negative effects on habitat quality, while elevation and precipitation had significant positive effects. Below 3200m, habitat quality was relatively low, ranging from 0.045 to 0.203, with severe degradation fluctuating between 0.146 and 0.232. Above 3200m, precipitation was abundant and habitat quality was relatively high (0.383~0.759), but this area was more sensitive to climate change, with low grassland continuity and point-like habitat degradation. In future environmental protection, strict control over the expansion of construction land should be implemented, the system of land use control for cultivated land should be strictly enforced, and differentiated and diversified regulatory strategies should be adopted considering the characteristics of different driving factors. At the same time, attention should be paid to the impact of climate change on habitat quality in high-altitude areas, and through refined regulation of the human-land relationship and strategies to address climate change, the overall quality and efficiency of habitat should be improved.

, authors=Jun-de SU^{1, *}, Xiao-jiong ZHAO^{2, 3}, Guo-xia LI¹, Dong-nian LI¹, authorsList=Jun-de SU, Xiao-jiong ZHAO, Guo-xia LI, Dong-nian LI, authorCompany=null, correspAuthors=Jun-de SU, 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=1314918591200325818, articleId=1314918590676037816, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=县域尺度下甘南州生境质量时空演变及驱动力分析, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

基于InVEST模型，并综合运用参数最优地理探测器和地理加权回归模型（GWR）在县域尺度下动态分析了2000~2020年甘南州生境质量的时空演变特征及其驱动机制．结果表明：1）2000~2020年，生境质量持续退化，年均下降率为 0.0016a^-1，空间分布相对稳定，呈西南高，西北-东南低的分布特征，热点连片分布于玛曲县和碌曲县，冷点以带状或斑块状集中于城镇周边及路网密集区域，以建设用地和耕地为主；2）土地利用类型相互转换对生境质量产生了消极影响，生境质量指数累计下降0.031，林地、耕地向草地以及耕地向林地是促使生境质量改善的主要转换类型，但生态用地向生活生产用地、草地向耕地的转换规模在不断扩大，年均转换面积分别为20.22和194.05km²，生境退化风险在进一步加剧；3）高程（0.459）、年均温度（0.433）、年均降水（0.349）、年均蒸发量（0.345）、GDP（0.274）和人口数量（0.269）是生境质量分异的主要驱动因子，且各因子间呈非线性增强或双因子增强，高程与其余因子交互作用最强，贡献率均在45%以上，对生境质量空间分布具有决定性影响；4）不同因子在空间上对生境质量的影响具有显著差异（P<0.05），年均温度、年均蒸发量、GDP和人口数量对生境质量主要产生负向作用，但高程和降水对生境质量正向效应显著，3200m以下区域，生境质量较小，维持在0.045~0.203之间，退化相对严重，在0.146~0.232之间波动，3200m以上区域，降水丰沛、生境质量较高（0.383~0.759），但此区域对气候变化较为敏感，草地连续性不高，生境以点状退化．未来在环境保护中，应严格管控建设用地扩张，严格落实耕地用途管制制度，综合考虑不同驱动因素特点，采取差异化的多元调控策略，同时关注高海拔区域气候变化对生境质量的影响，通过精细化调控人地关系和应对气候变化的策略，从整体上推动生境质量提质增效．

, authors=苏军德^{1, *}, 赵晓冏^{2, 3}, 李国霞¹, 李栋年¹, authorsList=苏军德, 赵晓冏, 李国霞, 李栋年, authorCompany=null, correspAuthors=苏军德, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=uHL51q2fJ5rz8B29/m3APQ==, magXml=r0auir6Tx6iZklX+exPY+g==, pdfUrl=null, pdf=t+r6gn/tYM4wpMsi+4SAaw==, pdfFileSize=6677893, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=X0ys5pbyhsrMdtvoiGiPDA==, mapNumber=null, fund=null)}, authors=[Author(id=1314918591745585349, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918590676037816, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=sujd2009@163.com, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1314918591842054343, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918590676037816, authorId=1314918591745585349, language=EN, stringName=Jun-de SU, firstName=Jun-de, middleName=null, lastName=SU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, *}, address=^1.Gansu Vocational & Technical College of Nonferrous, Jinchang 737100, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918591917551816, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918590676037816, authorId=1314918591745585349, language=CN, stringName=苏军德, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, *}, address=^1.甘肃有色冶金职业技术学院，甘肃 金昌 737100, bio={"content":"

苏军德（1986-），男，甘肃武威人，教授，硕士，主要从事遥感生态学等方面的研究．发表论文20余篇．sujd2009@163.com.

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苏军德（1986-），男，甘肃武威人，教授，硕士，主要从事遥感生态学等方面的研究．发表论文20余篇．sujd2009@163.com.

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