Article(id=1322924713097441359, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.09.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760112000000, receivedDateStr=2025-10-11, revisedDate=1764604800000, revisedDateStr=2025-12-02, acceptedDate=null, acceptedDateStr=null, onlineDate=1793339430355, onlineDateStr=2026-10-30, pubDate=1790265600000, pubDateStr=2026-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793339430355, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793339430355, creator=13701087609, updateTime=1793339430355, updator=13701087609, issue=Issue{id=1322924673771647833, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='9', pageStart='1', pageEnd='250', issueExtLink='null', onlineDate='null', pubDate='1790265600000', pubDateStr='2026-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793339420978, creator='13701087609', updateTime=1793344623946, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946497460961720, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946497460961721, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924673771647833, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=177, endPage=190, ext={EN=ArticleExt(id=1322924713592369232, articleId=1322924713097441359, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Research on the spatiotemporal evolution characteristics and driving forces of ecological environment quality in Xinjiang based on the changes in the “production-living-ecological spaces”, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【Objective】

This study aims to investigate the spatiotemporal evolution patterns of the “production-living-ecological space” and habitat quality, uncover their intrinsic linkages and the underlying mechanisms driving habitat quality changes, and to provide a scientific foundation for optimizing territorial spatial planning and promoting the coordinated development of ecological conservation and economic growth in arid regions.

【Method】

Taking Xinjiang as the study area, four periods of land use data (1990, 2000, 2010, and 2020), were analyzed integrated with natural factors (elevation, slope, aspect, soil type, annual average precipitation, annual average temperature, and annual average evapotranspiration) and socioeconomic factors (GDP). The spatiotemporal dynamics of the three spaces were examined using a land use transition matrix, land use dynamic degree, gravity center transfer model, and standard deviational ellipse. Habitat quality was assessed using the InVEST model, while the ecological impacts of land use transitions were quantified through an ecological contribution rate analysis. Geoprobe was employed to identify key drivers of habitat quality and their interactive effects.

【Result】

1) From 1990 to 2020, ecological space dominated the three spaces in Xinjiang (accounting for over 96%), yet it continuously decreased in extent, whereas production space (particularly agricultural land) and living space expanded steadily. Spatially, ecological space was primarily distributed along mountainous regions, while production and living spaces clustered within oases; 2) Overall habitat quality remained low, characterized by a persistent dominance of medium- and low-quality areas and fragile high-quality patches. Low-quality habitats exceeded 60% of the total area; medium-quality habitats showed gradual improvement; high-quality habitats were concentrated in mountain ranges such as the Tianshan and Altai mountains but exhibited a fluctuating decline in area. Habitat degradation evolved from widespread, diffuse expansion toward localized, point-source deterioration; 3) The ecological consequences of three-space transformation varied significantly across phases: from 1990 to 2000, degradation far outweighed improvement; however, from 2010 to 2020, improvement and degradation reached near equilibrium, indicating enhanced synergy between ecological protection and socioeconomic development; 4) Spatial variations in habitat quality were predominantly governed by natural factors, ranked by explanatory power (q-value) as soil type > annual average precipitation > annual average evapotranspiration > annual average temperature. Interactions among natural factors exhibited nonlinear enhancement, whereas socioeconomic factors (GDP) exerted minimal influence.

【Conclusion】

Over the past three decades, the configuration of the three spaces in Xinjiang has undergone substantial transformation. The contraction of ecological space and concurrent expansion of production and living spaces have critically impacted habitat quality, which remains generally low and primarily regulated by natural conditions-particularly soil properties and hydrothermal regimes. Future strategies should prioritize the optimization of territorial spatial structures and strengthen ecological restoration efforts to ensure both ecological security and sustainable economic development in arid environments.

, authors=Buheliqi·Maimaitiniyazi, Alimujiang·Kasimu, Anwaer·Maimaitiming, Buwajiergu·Shayiti, authorsList=Buheliqi·Maimaitiniyazi, Alimujiang·Kasimu, Anwaer·Maimaitiming, Buwajiergu·Shayiti, authorCompany=null, correspAuthors=Alimujiang·Kasimu, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, 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=1322924714796134481, articleId=1322924713097441359, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=基于“三生空间”变化的新疆生态环境质量时空演变特征及驱动力分析, columnId=1322924188427760267, journalTitle=中南林业科技大学学报, columnName=生态学, runingTitle=null, highlight=null, articleAbstract=
【目的】

探究“三生空间”(生产空间、生活空间、生态空间)与生境质量的时空演变规律,揭示二者内在关联及生境质量驱动机制,为干旱区国土空间优化布局、生态环境保护与经济发展协同推进提供科学依据。

【方法】

以新疆为研究区,基于1990、2000、2010、2020年4期土地利用数据,结合自然因素(高程、坡度、坡向、土壤类型、年平均降水量、年平均气温、年平均蒸散发)与人文因素(GDP)数据,运用土地利用转移矩阵、重心转移模型、标准差椭圆等方法解析“三生空间”时空演变特征;通过InVEST模型评估生境质量动态变化,借助生态贡献率量化“三生空间”转型的生态效应,并利用地理探测器识别生境质量的驱动因子及其交互作用。

【结果】

1)1990—2020年,新疆“三生空间”以生态空间为主导(占比超96%),但生态空间面积持续缩减,生产空间与生活空间不断扩张,空间分布呈现“生态空间依山分布、生产生活空间聚于绿洲”的格局。2)生境质量整体偏低,长期呈现“中低质量主导、高质量脆弱”的特征,低质量生境占比超60%,中质量生境稳步改善,高质量生境集中于天山、阿尔泰山等山区且面积波动下降,生境退化由面状蔓延逐步转向局部点状扩张。3)“三生空间”转型的生态效应阶段性显著,1990—2000年生境退化面积远大于改善面积,2010—2020年生境改善面积与退化面积接近平衡,生态保护与经济发展协同性提升。4)生境质量空间分异主要受自然因子驱动,按决定力(q值)排序为土壤类型>年平均降水量>年平均蒸散发>年平均气温,自然因子间的交互作用呈非线性增强特征,社会经济因子(GDP)影响微弱。

【结论】

1990—2020年新疆“三生空间”格局演变显著,生态空间萎缩与生产生活空间扩张对生境质量产生重要影响,生境质量总体偏低且受自然因子主导,未来需通过优化国土空间结构、强化生态保护修复,实现干旱区生态安全与经济可持续发展。

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布合丽齐·麦麦提尼亚孜(),硕士研究生。

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阿里木江·卡斯木(),教授,博士,硕士研究生导师。
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基于“三生空间”变化的新疆生态环境质量时空演变特征及驱动力分析
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布合丽齐·麦麦提尼亚孜 , 阿里木江·卡斯木 , 安瓦尔·买买提明 , 布瓦加尔姑·沙依提
中南林业科技大学学报 | 生态学 2026,46(9): 177-190
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中南林业科技大学学报 |生态学 2026 , 46 (9) : 177 -190
基于“三生空间”变化的新疆生态环境质量时空演变特征及驱动力分析
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布合丽齐·麦麦提尼亚孜 , 阿里木江·卡斯木 , 安瓦尔·买买提明, 布瓦加尔姑·沙依提
作者信息
  • 新疆师范大学 a. 地理科学与旅游学院;b. 新疆干旱区湖泊环境与资源重点实验室;c. 丝绸之路经济带城市发展研究中心,新疆 乌鲁木齐 830017
通讯作者:
阿里木江·卡斯木(),教授,博士,硕士研究生导师。
作者简介:

布合丽齐·麦麦提尼亚孜(),硕士研究生。

Research on the spatiotemporal evolution characteristics and driving forces of ecological environment quality in Xinjiang based on the changes in the “production-living-ecological spaces”
Buheliqi·Maimaitiniyazi , Alimujiang·Kasimu , Anwaer·Maimaitiming, Buwajiergu·Shayiti
Affiliations
  • a. School of Geographical Science and Tourism; b. Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone; c. Research Center for Urban Development of Silk Road Economic Belt, Xinjiang Normal University, Urumqi 830017, Xinjiang, China
出版时间: 2026-09-25 doi: 10.14067/j.cnki.1673-923x.2026.09.016
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【目的】

探究“三生空间”(生产空间、生活空间、生态空间)与生境质量的时空演变规律,揭示二者内在关联及生境质量驱动机制,为干旱区国土空间优化布局、生态环境保护与经济发展协同推进提供科学依据。

【方法】

以新疆为研究区,基于1990、2000、2010、2020年4期土地利用数据,结合自然因素(高程、坡度、坡向、土壤类型、年平均降水量、年平均气温、年平均蒸散发)与人文因素(GDP)数据,运用土地利用转移矩阵、重心转移模型、标准差椭圆等方法解析“三生空间”时空演变特征;通过InVEST模型评估生境质量动态变化,借助生态贡献率量化“三生空间”转型的生态效应,并利用地理探测器识别生境质量的驱动因子及其交互作用。

【结果】

1)1990—2020年,新疆“三生空间”以生态空间为主导(占比超96%),但生态空间面积持续缩减,生产空间与生活空间不断扩张,空间分布呈现“生态空间依山分布、生产生活空间聚于绿洲”的格局。2)生境质量整体偏低,长期呈现“中低质量主导、高质量脆弱”的特征,低质量生境占比超60%,中质量生境稳步改善,高质量生境集中于天山、阿尔泰山等山区且面积波动下降,生境退化由面状蔓延逐步转向局部点状扩张。3)“三生空间”转型的生态效应阶段性显著,1990—2000年生境退化面积远大于改善面积,2010—2020年生境改善面积与退化面积接近平衡,生态保护与经济发展协同性提升。4)生境质量空间分异主要受自然因子驱动,按决定力(q值)排序为土壤类型>年平均降水量>年平均蒸散发>年平均气温,自然因子间的交互作用呈非线性增强特征,社会经济因子(GDP)影响微弱。

【结论】

1990—2020年新疆“三生空间”格局演变显著,生态空间萎缩与生产生活空间扩张对生境质量产生重要影响,生境质量总体偏低且受自然因子主导,未来需通过优化国土空间结构、强化生态保护修复,实现干旱区生态安全与经济可持续发展。

“三生空间”  /  生境质量  /  InVEST模型  /  地理探测器  /  新疆
【Objective】

This study aims to investigate the spatiotemporal evolution patterns of the “production-living-ecological space” and habitat quality, uncover their intrinsic linkages and the underlying mechanisms driving habitat quality changes, and to provide a scientific foundation for optimizing territorial spatial planning and promoting the coordinated development of ecological conservation and economic growth in arid regions.

【Method】

Taking Xinjiang as the study area, four periods of land use data (1990, 2000, 2010, and 2020), were analyzed integrated with natural factors (elevation, slope, aspect, soil type, annual average precipitation, annual average temperature, and annual average evapotranspiration) and socioeconomic factors (GDP). The spatiotemporal dynamics of the three spaces were examined using a land use transition matrix, land use dynamic degree, gravity center transfer model, and standard deviational ellipse. Habitat quality was assessed using the InVEST model, while the ecological impacts of land use transitions were quantified through an ecological contribution rate analysis. Geoprobe was employed to identify key drivers of habitat quality and their interactive effects.

【Result】

1) From 1990 to 2020, ecological space dominated the three spaces in Xinjiang (accounting for over 96%), yet it continuously decreased in extent, whereas production space (particularly agricultural land) and living space expanded steadily. Spatially, ecological space was primarily distributed along mountainous regions, while production and living spaces clustered within oases; 2) Overall habitat quality remained low, characterized by a persistent dominance of medium- and low-quality areas and fragile high-quality patches. Low-quality habitats exceeded 60% of the total area; medium-quality habitats showed gradual improvement; high-quality habitats were concentrated in mountain ranges such as the Tianshan and Altai mountains but exhibited a fluctuating decline in area. Habitat degradation evolved from widespread, diffuse expansion toward localized, point-source deterioration; 3) The ecological consequences of three-space transformation varied significantly across phases: from 1990 to 2000, degradation far outweighed improvement; however, from 2010 to 2020, improvement and degradation reached near equilibrium, indicating enhanced synergy between ecological protection and socioeconomic development; 4) Spatial variations in habitat quality were predominantly governed by natural factors, ranked by explanatory power (q-value) as soil type > annual average precipitation > annual average evapotranspiration > annual average temperature. Interactions among natural factors exhibited nonlinear enhancement, whereas socioeconomic factors (GDP) exerted minimal influence.

【Conclusion】

Over the past three decades, the configuration of the three spaces in Xinjiang has undergone substantial transformation. The contraction of ecological space and concurrent expansion of production and living spaces have critically impacted habitat quality, which remains generally low and primarily regulated by natural conditions-particularly soil properties and hydrothermal regimes. Future strategies should prioritize the optimization of territorial spatial structures and strengthen ecological restoration efforts to ensure both ecological security and sustainable economic development in arid environments.

production-living-ecological space  /  habitat quality  /  InVEST model  /  Geoprobe  /  Xinjiang
布合丽齐·麦麦提尼亚孜, 阿里木江·卡斯木, 安瓦尔·买买提明, 布瓦加尔姑·沙依提. 基于“三生空间”变化的新疆生态环境质量时空演变特征及驱动力分析. 中南林业科技大学学报, 2026 , 46 (9) : 177 -190 . DOI: 10.14067/j.cnki.1673-923x.2026.09.016
Buheliqi·Maimaitiniyazi, Alimujiang·Kasimu, Anwaer·Maimaitiming, Buwajiergu·Shayiti. Research on the spatiotemporal evolution characteristics and driving forces of ecological environment quality in Xinjiang based on the changes in the “production-living-ecological spaces”[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (9) : 177 -190 . DOI: 10.14067/j.cnki.1673-923x.2026.09.016
  • 国家自然科学基金项目(42361030)
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2026年第46卷第9期
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doi: 10.14067/j.cnki.1673-923x.2026.09.016
  • 接收时间:2025-10-11
  • 首发时间:2026-10-30
  • 出版时间:2026-09-25
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  • 收稿日期:2025-10-11
  • 修回日期:2025-12-02
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国家自然科学基金项目(42361030)
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    新疆师范大学 a. 地理科学与旅游学院;b. 新疆干旱区湖泊环境与资源重点实验室;c. 丝绸之路经济带城市发展研究中心,新疆 乌鲁木齐 830017

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阿里木江·卡斯木(),教授,博士,硕士研究生导师。
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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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