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本研究基于5期遥感影像人工目视解译获取阿拉尔市十一团土地利用数据,使用InVEST及地理探测器模型,分析1999—2023年十一团生境质量变化及其驱动因素,旨在揭示十一团土地利用变化对生境质量的影响机制,并识别生境质量关键驱动因素。结果表明:1)1999—2023年未利用地是十一团最主要的土地利用类型,面积大幅减少,而其余各地类面积均增加,其中耕地是增幅最大的土地类型。2005—2011年间十一团土地利用变化最为剧烈,土地利用类型的转变主要表现为未利用地转变为耕地和林地。2)1999—2023年十一团区域生境质量整体呈上升趋势,平均生境质量指数由0.366上升到0.430,以中等生境质量区域增幅最大;空间上南部属于生境质量低值区,北部为生境质量高值区。3)土地利用类型是十一团生境质量空间分异的第一主导因素(q=0.92),其次是归一化植被指数(q=0.42)。不同影响因子交互探测的解释力大于单一影响因素,以土地利用类型和归一化植被指数的交互作用最强(q=0.931),十一团的生境质量变化主要受到政策及社会经济因素的影响。研究结果可为十一团制定有效的生态保护策略和土地管理措施提供科学依据,有助于指导人工绿洲生态环境的可持续发展,促进区域生态平衡和资源合理利用。
Abstract:In this study, land use data of the Eleventh Regiment in Alar City were derived through manual visual interpretation of five periods of remote sensing imagery. Utilizing the InVEST model alongside a geographic detector framework, we investigated the changes in habitat quality and their driving factors from 1999 to 2023. The primary objective was to elucidate the mechanisms through which land use alterations in the Eleventh Regiment influence habitat quality and to identify the key determinants of such quality. The findings revealed that: 1) From 1999 to 2023, unused land emerged as the predominant land use type in the Eleventh Regiment, experiencing a substantial reduction in area. In contrast, the areas of other land use categories all expanded, with arable land demonstrating the most significant growth. The most dramatic shifts in land use occurred between 2005 and 2011, primarily characterized by the conversion of unused land to arable and forest land. 2) The overall habitat quality in the Eleventh Regiment displayed an upward trajectory during the study period, with the average habitat quality index rising from 0.366 to 0.430; regions with moderate habitat quality saw the most notable expansion. Spatially, the southern area was identified as a low-value zone for habitat quality, whereas the northern area represented a high-value zone. 3) Land use type was established as the foremost factor driving the spatial variation of habitat quality in the Eleventh Regiment(q=0.92), followed by the normalized difference vegetation index(NDVI)(q=0.42). The explanatory power of interactions among various influencing factors exceeded that of individual factor, with the interaction between land use type and NDVI exhibiting the strongest correlation(q=0.931). The changes in habitat quality within the Eleventh Regiment were predominantly influenced by policy and socioeconomic factors. These findings provide a robust scientific basis for formulating effective ecological protection strategies and land management measures tailored to the Eleventh Regiment. They contribute to guiding the sustainable development of artificial oasis ecosystems, promoting regional ecological balance, and advancing the rational utilization of resources.
[1] 郑贱成,谢炳庚,游细斌.1980—2020年粤港澳大湾区生境质量变化特征[J].经济地理,2022,42(8):41-50.
[2] 刘智方,唐立娜,邱全毅,等.基于土地利用变化的福建省生境质量时空变化研究[J].生态学报,2017,37(13):4538-4548.
[3] 郑启航,徐光来,刘永婷,等.基于InVEST和MGWR模型的安徽省生境质量评估及驱动[J].水土保持研究,2024,31(3):373-382.
[4] 李志杰,黄贵超,马訾懿,等.基于土地利用变化的城市生境质量时空分异格局及影响因素[J].中国城市林业,2024,22(2):135-143.
[5] 王敏,陈梦璇,宋昊洋.生境质量与游憩服务的耦合协调对滨水空间活力的影响[J].中国城市林业,2022,20(3):7-13.
[6] 刘方田,许尔琪.基于土地利用的新疆兵团与非兵团生境质量时空演变的对比[J].应用生态学报,2020,31(7):2341-2351.
[7] 徐文彬,饶良懿.土地利用和气候变化对农牧交错带生态系统服务的影响[J].环境科学,2023,44(9):5114-5124.
[8] SUN X Y,JIANG Z,LIU F,et al.Monitoring spatio-temporal dynamics of habitat quality in Nansihu Lake basin,Eastern China,from 1980 to 2015[J].Ecol Indic,2019,102:716-723.
[9] 曾鹏,汪昱昆,刘垚燚,等.基于河段尺度的太湖流域城市河流生境评价[J].应用生态学报,2020,31(2):581-589.
[10] KUBOTA V R,LINARES-PALOMINO R,GREGORY T,et al.Assessment of stand characteristics and soil of upper Parana atlantic forests (Paraguay) reveals high habitat heterogeneity[J].J Trop For Sci,2023,35(3):283-298.
[11] 张晓东,武丹,王莹,等.耦合InVEST与Geodetector模型的银川市生境质量时空演变特征及影响因子研究[J].干旱区地理,2024,47(7):1242-1251.
[12] 李月,冯霞,吴路华,等.贵州高原典型喀斯特县域生境质量时空演变及定量归因[J].环境科学,2024,45(5):2793-2805.
[13] LUAN Y F,HUANG G H,ZHENG G H.Spatiotemporal evolution and prediction of habitat quality in Hohhot City of China based on the InVEST and CA-Markov models[J].J Arid Land,2023,15(1):20-33.
[14] 霍思高,黄璐,严力蛟.基于SolVES模型的生态系统文化服务价值评估:以浙江省武义县南部生态公园为例[J].生态学报,2018,38(10):3682-3691.
[15] MONDAL J,BASU T,DAS A.Application of a novel remote sensing ecological index (RSEI) based on geographically weighted principal component analysis for assessing the land surface ecological quality[J].Environ Sci Pollut R,2024,31(22):32350-32370.
[16] 李晓乔,宋玉,魏彩芸,等.基于Web of Science的InVEST模型在生态领域的研究进展分析[J].中国水土保持,2023(12):34-39,77.
[17] 刘佳依,许大为,徐嘉.基于InVEST模型的蒲河流域景观格局及生境质量时空演变分析[J].水土保持学报,2024,38(2):258-267.
[18] BI M Y,ZHONG Y X,XIAO Z P,et al.Spatial and temporal change of habitat quality of Poyang Lake basin in China at small watershed scale and its multidimensional response to landscape pattern[J].Chinese Geogr Sci,2023,33(3):565-582.
[19] DAS M,MANDAL A,DAS A,et al.Urban dynamics and its impact on habitat and eco-environmental quality along urban-rural gradient in an urban agglomeration (India)[J/OL].Environ Chall,2024,14:100824[2024-12-29].https://doi.org/10.1016/j.envc.2023.100824.
[20] 王玉朝,赵成义.绿洲—荒漠生态脆弱带的研究[J].干旱区地理,2001,24(2):182-188.
[21] 赵亚冲,邓岚,王雄,等.阿拉尔垦区新疆杨农田防护林防风效果研究[J].塔里木大学学报,2023,35(4):105-112.
[22] 宋奇,高琪,马自强,等.1990—2019年阿拉尔垦区植被覆盖时空变化特征分析[J].草地学报,2021,29(5):1014-1024.
[23] 李森威,李旭,候凯耀,等.基于GEE的新疆土地覆盖分类研究[J].塔里木大学学报,2024,36(2):105-112.
[24] 师君银,马勇刚,许仲林.喀什地区土地利用变化对生境质量的影响[J].西南农业学报,2023,36(11):2480-2490.
[25] 徐彩芳,曹月娥,许仲林,等.新疆维吾尔自治区阿克苏地区生态源地的识别方法研究[J].水土保持通报,2021,41(4):174-181,188.
[26] 朱增云,阿里木江·卡斯木.基于地理探测器的伊犁谷地生境质量时空演变及其影响因素[J].生态学杂志,2020,39(10):3408-3420.
[27] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[28] 周德志,关颖慧,张冰彬,等.基于土地利用变化的陕北地区生境质量时空演变及其驱动因素[J].北京林业大学学报,2022,44(6):85-95.
[29] 傅楷翔,贾国栋,余新晓,等.耦合PLUS-InVEST-Geodector模型的新疆地区碳储量时空变化及驱动机制分析[J].环境科学,2024,45(9):5416-5430.
[30] 严莉,曹广超,康利刚,等.基于InVEST模型的共和县生境质量时空变化及驱动因素[J].干旱区研究,2024,41(2):314-325.
[31] 宋奇,冯春晖,高琪,等.阿拉尔垦区近30年耕地变化及其驱动因子分析[J].国土资源遥感,2021,33(2):202-212.
[32] 李宇飞,张永福,赵玉,等.基于CA-Markov模型的阿克苏地区土地利用变化研究及预测[J].安徽农业科学,2022,50(21):74-80,84.
[33] 代云豪,管瑶,刘孟琴,等.1990—2020年阿拉尔垦区生态环境质量动态监测与评价[J].水土保持通报,2022,42(2):122-128.
基本信息:
中图分类号:F301.2;X321
引用信息:
[1]唐远胜,沈留记,杨彦,等.基于土地利用的阿拉尔市十一团生境质量及驱动因素分析[J].塔里木大学学报,2025,37(05):90-102.
基金信息:
新疆生产建设兵团重点领域科技攻关计划项目(2021AB022)
2024-07-06
2024
2025-09-29
2024-11-08
2024
1
2025-10-15
2025-10-15