|Table of Contents|

Spatio-temporal Variations of Vegetation Cover and Influencing Factors in Kashi Region From Recent 20 years

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2023年04
Page:
60-70
Research Field:
Publishing date:

Info

Title:
Spatio-temporal Variations of Vegetation Cover and Influencing Factors in Kashi Region From Recent 20 years
Author(s):
Alimu?YIMING; Muhtar?AMAT; ZHU Min
(College of Life and Geographic Sciences,Kashi University,Kashi,Xinjiang 844006)
Keywords:
normalized difference vegetation index; temporal and spatial variation; spatial aggregation distribution; spatial autocorrelation analysis
PACS:
-
DOI:
10.11937/bfyy.20221803
Abstract:
The Normalized Difference Vegetation Index(NDVI) time-series data set of Kashi region from 2000 to 2019 was used as the test material,and it aimed to study the spatial and temporal changes of vegetation cover over the recent 20 years as well as its influencing factors in Kashi region with the help of statistical analysis,slope regression trend line method and geostatistical analysis,in order to provide services for the ecological environment and sustainable socio-economic development of Kashi region.The results showed that,1) the average value of NDVI in Kashi region from 2000 to 2019 tended to be slightly upward in time series,with an average value of 0.177,a 20-year growth of 0.66% and a coefficient of variation of 8.90%.Abrupt changes occurred in 2003.2) The NDVI in the recent 20 years featured the coexistence of regional and temporal rise and degradation in space,with significant aggregation and distribution,and vegetation cover was increasing standing at an overall space perspective.3) The correlation analysis indicated that the impacts of natural,human and social factors were characterized by regional differences in space and high NDVI values concentrated in the oasis areas with flat terrain conditions and rich water resources.The average value of NDVI for different land utilization types was sequenced as follows cultivated land>urban and rural land>forest land>grassland>unused land>water area.The average value of NDVI near the water system,traffic line,and residential area was high and the urbanization factors were significantly correlated with the average value of NDVI.4) The NDVI value in Kashi region showed a weak growth trend in time and space during the recent 20 years,and natural and human social factors jointly caused the temporal and spatial changes in vegetation cover of Kashi region.

References:

[1]田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998(4):10-16.[2]王东.西南地区植被覆盖变化及对不同时间尺度气候特征的响应分析[D].兰州:西北师范大学,2014.[3]刘洋,李诚志,刘志辉,等.1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6198-6208.[4]王正兴,刘闯,HUETE A.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003(5):979-987.[5]于嵘.基于遥感时序数据的中国陆地植被覆盖变化分析研究[D].北京:中国科学院研究生院（遥感应用研究所）,2006.[6]苏琦,杨凤海,王明亮,等.基于K-T变换的NDVI提取方法研究[J].测绘与空间地理信息,2010,33(1):150-152.[7]张杰,郭铌,王介民.NOAA/AVHRR与EOS/MODIS遥感产品NDVI序列的对比及其校正[J].高原气象,2007(5):1097-1104.[8]刘宪锋,朱秀芳,潘耀忠,等.1982—2012年中国植被覆盖时空变化特征[J].生态学报,2015,35(16):5331-5342.[9]徐丽萍,郭鹏,刘琳,等.天山北麓土地利用与土地退化的时空特征探析[J].水土保持研究,2014,21(5):316-321.[10]沈斌,房世波,余卫国.NDVI与气候因子关系在不同时间尺度上的结果差异[J].遥感学报,2016,20(3):481-490.[11]欧朝蓉,朱清科,孙永玉.元谋干热河谷旱季植被覆盖度的时空异质性[J].林业科学,2017,53(11):20-28.[12]刘洋,李诚志,刘志辉,等.1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6198-6208.[13]杨光华,包安明,陈曦,等.1998—2007年新疆植被覆盖变化及驱动因素分析[J].冰川冻土,2009,31(3):436-445.[14]王桂钢,周可法,孙莉,等.近10a新疆地区植被动态与R/S分析[J].遥感技术与应用,2010,25(1):84-90.[15]李聪,曹占洲,丁林,等.新疆地区多时相MODIS-NDVI数据主成分分析[J].气象与环境科学,2012,35(2):40-43.[16]孙与襄,麦麦提吐逊?麦麦提,马合木江?艾合买提,等.1995—2020年喀什市植被覆盖度时空动态变化研究[J].中国农村水利水电,2022(1):71-78,92.[17]陈西亮,张佳华.基于TM影像的喀什地区土地利用分类[J].湖北农业科学,2016,55(15):4001-4005.[18]董墨.新疆喀什地区土地利用变化及其驱动力分析[D].哈尔滨:东北林业大学,2016.[19]喀什行政公署办公室.喀什地区2000—2020年国民经济和社会发展统计公报[R].喀什地区行政公署，2021.[20]何宝忠,丁建丽,张喆,等.新疆植被覆盖度趋势演变实验性分析[J].地理学报,2016,71(11):1948-1966.[21]熊俊楠,彭超,程维明,等.基于MODIS-NDVI的云南省植被覆盖度变化分析[J].地球信息科学学报,2018,20(12):1830-1840.[22]赵安周,张安兵,赵延旭,等.基于MODISNDVI数据的陕甘宁地区植被覆盖时空变化及其对极端气候的响应[J].水土保持研究,2018,25(3):224-231.[23]CAI B F,R Y.Advance and evaluation in the long time series vegetation trends research based on remote sensing[J].Journal of Remote Sensing,2009,13(6):1170-1186.[24]管亚兵,杨胜天,赵长森,等.2000年以来岷江上游地区MODIS/NDVI动态变化[J].山地学报,2018,36(3):345-353.[25]李彤,师学义.黄土山丘区植被覆盖变化分析[J].水土保持研究,2018,25(5):143-148.[26]何全军.基于MODIS数据的珠三角地区NDVI时空变化特征及对气象因素的响应[J].生态环境学报,2019,28(9):1722-1730.[27]木合塔尔?艾买提,迪里木拉提?玉苏甫.乌什县植棉田土壤养分空间分级特征分析[J].湖北农业科学,2019,623(2):58-64.[28]李奇虎,陈亚宁.1981—2006年西北干旱区NDVI时空分布变化对水热条件的响应[J].冰川冻土,2014,36(2):327-334.[29]韦振锋,任志远,张翀,等.西北地区植被覆盖变化及其与降水和气温的相关性[J].水土保持通报,2014,34(3):283-289.[30]许玉凤,杨井,李卫红,等.1982—2013年新疆不同植被生长时空变化[J].草业学报,2016,25(1):47-63.[31]李晓蕾,徐丽萍,位宏,等.叶尔羌河流域植被覆盖度时空变化分析[J].西部林业科学,2019,48(4):86-93.

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Last Update: 2023-03-21