2000-2016年黄河源区植被NDVI变化趋势及影响因素
|
摘要
NDVI是研究区域植被变化的重要表征性指数。基于2000—2016年的MODIS NDVI遥感数据和同时期地面气象数据,采用非参数检验方法曼—肯德尔法(Mann-Kendall)检验法、斜率变化趋势分析法、复直线回归分析法等多种时间与空间分析方法,研究了黄河源区生长季植被覆盖时空变化及其与气候因子的相关性,探索黄河源区植被与气候变化的时空耦合关系,分析了气候因素及人类活动对植被覆盖的影响。结果表明:黄河源区NDVI在2000—2016年期间没有特别明显的突变年份;源区70.4%的区域植被NDVI是增加的,增长率大部分处于0～0.004/a。复直线回归分析显示气象因素对源区植被生长变化起到主要的促进作用,99%的区域NDVI气候因素贡献值为正值。人类活动促使植被NDVI增加的区域占总面积的比例是55%,说明人类活动等因素对黄河源区的生态环境产生一定的积极影响,但仍有接近50%的区域人类活动使NDVI减少,高寒草地的退化的趋势没有得到有效遏制。
NDVI is an important characteristic index of vegetation change. This study is based on the MODIS NDVI from 2000—2016 and the surface meteorological data at the same period. The spatial and temporal changes of vegetation cover in the growing season of the Yellow River and its correlation with climatic factors, the temporal and spatial coupling relationship between vegetation and climate change in the source region of the Yellow River and the impact of climatic factors and the human activities on vegetation cover were analyzed and explored by using non-parametric test methods such as Mann-Kendall analysis, trend analysis, and multi-linear regression analysis. The results showed that the NDVI of the source region of the Yellow River had no significant abrupt year from 2000 to 2016; the NDVI of the 70.4% of the source region increased, and the growth rate was mostly between 0～0.004 a. The meteorological factors played the major role in promoting the vegetation growth in the source region, and climatic factors contributed the positive values in 99% of the area. The proportion of areas where human activities played the positive role in NDVI increase was 55%, indicating that human activities and other factors had a certain positive impact on the ecological environment in the source region of the Yellow River, human activities had reduced NDVI in nearly 50% of regional, indicating that the trend of degraded alpine grassland had not been effectively curbed.
NDVI is an important characteristic index of vegetation change. This study is based on the MODIS NDVI from 2000—2016 and the surface meteorological data at the same period. The spatial and temporal changes of vegetation cover in the growing season of the Yellow River and its correlation with climatic factors, the temporal and spatial coupling relationship between vegetation and climate change in the source region of the Yellow River and the impact of climatic factors and the human activities on vegetation cover were analyzed and explored by using non-parametric test methods such as Mann-Kendall analysis, trend analysis, and multi-linear regression analysis. The results showed that the NDVI of the source region of the Yellow River had no significant abrupt year from 2000 to 2016; the NDVI of the 70.4% of the source region increased, and the growth rate was mostly between 0～0.004 a. The meteorological factors played the major role in promoting the vegetation growth in the source region, and climatic factors contributed the positive values in 99% of the area. The proportion of areas where human activities played the positive role in NDVI increase was 55%, indicating that human activities and other factors had a certain positive impact on the ecological environment in the source region of the Yellow River, human activities had reduced NDVI in nearly 50% of regional, indicating that the trend of degraded alpine grassland had not been effectively curbed.
引文
[1]毛德华,王宗明,罗玲,等.基于MODIS和AVHRR数据源的东北地区植被NDVI变化及其与气温和降水间的相关分析[J].遥感技术与应用,2012,27(1):77-85.
[2]彭保发,陈端吕,李文军,等.土地利用景观格局的稳定性研究:以常德市为例[J].地理科学,2013,33(12):1484-1488.
[3]Gao J,Li X L,Cheung A,et al.Degradation of wetlands on the Qinghai-Tibet Plateau:A comparison of the effectiveness of three indicators[J].山地科学学报,2013,10(4):658-667.
[4]孟丹,李小娟,宫辉力,等.京津冀地区NDVI变化及气候因子驱动分析[J].地球信息科学学报,2015,17(8):1001-1007.
[5]徐冠华,葛全胜,宫鹏,等.全球变化和人类可持续发展:挑战与对策[J].科学通报,2013,58(21):2100-2106.
[6]郭敏杰,张亭亭,张建军,等.1982-2006年黄土高原地区植被覆盖度对气候变化的响应[J].水土保持研究,2014,21(5):35-40.
[7]吴喜芳,李改欣,潘学鹏,等.黄河源区植被覆盖度对气温和降水的响应研究[J].资源科学,2015,37(3):512-521.
[8]杜加强,贾尔恒·阿哈提,赵晨曦,等.三江源区近30年植被生长动态变化特征分析[J].草业学报,2016,25(1):1-12.
[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.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]Karlsen S R,Tolvanen A,Kubin E,et al.MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia[J].International Journal of Applied Earth Observation&Geoinformation,2008,10(3):0-266.
[13]杜加强,赵晨曦,房世峰,等.近30a新疆月NDVI动态变化及其驱动因子分析[J].农业工程学报,2016,32(5):172-181.
[14]徐丽萍,郭鹏,王玲,等.天山北麓中段植被NDVI变化及其对气侯因子的响应[J].水土保持研究,2013,20(6):158-161.
[15]Yang Q,Wu J,Li Y,et al.Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River[J].Agricultural and Forest Meteorology,2017,232:606-622.
[16]李超,赵淑清,方精云.1975-2014年福建省植被覆盖变化及其驱动因素[J].植物生态学报,2017,41(2):157-164.
[17]刘宪锋,任志远,林志慧,等.2000-2011年三江源区植被覆盖时空变化特征[J].地理学报,2013,68(7):897-908.
[18]李辉霞,刘国华,傅伯杰.基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J].生态学报,2011,31(19):5495-5504.
[19]栾金凯,刘登峰,黄强,等.近17年陕西榆林植被指数的时空变化及影响因素[J].生态学报,2018,38(8)179-189.
[20]张春森,胡艳,史晓亮.基于AVHRR和MODIS NDVI数据的黄土高原植被覆盖时空演变分析[J].应用科学学报,2016,34(6):702-712.
[21]孙庆龄,李宝林,许丽丽,等.2000-2013年三江源植被NDVI变化趋势及影响因素分析[J].地球信息科学学报,2016(12):131-140.
[22]Hashemi R,Madoliat R,Afshar A.Prediction of forming limit diagrams using the modified M-K method in hydroforming of aluminum tubes[J].International Journal of Material Forming,2016,9(3):297-303.
[23]薛天翼,白建军.基于TVDI和气象数据的陕西省春季旱情时空分析[J].水土保持研究,2017,24(4):240-246.
[24]刘璐璐,曹巍,邵全琴.近30年来长江源区与黄河源区土地覆被及其变化对比分析[J].地理科学,2017,37(2):311-320.
[25]邵全琴,樊江文,刘纪远,等.基于目标的三江源生态保护和建设一期工程生态成效评估及政策建议[J].中国科学院院刊,2017,32(1):35-44.
[26]杜际增,王根绪,李元寿.近45年长江黄河源区高寒草地退化特征及成因分析[J].草业学报,2015,24(6):5-15.
[27]范微维,易桂花,张廷斌,等.黄河源区青海省玛多县2000-2014年NDVI变化及气候驱动因子[J].水土保持通报,2017,37(1):335-340.
[28]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.
[2]彭保发,陈端吕,李文军,等.土地利用景观格局的稳定性研究:以常德市为例[J].地理科学,2013,33(12):1484-1488.
[3]Gao J,Li X L,Cheung A,et al.Degradation of wetlands on the Qinghai-Tibet Plateau:A comparison of the effectiveness of three indicators[J].山地科学学报,2013,10(4):658-667.
[4]孟丹,李小娟,宫辉力,等.京津冀地区NDVI变化及气候因子驱动分析[J].地球信息科学学报,2015,17(8):1001-1007.
[5]徐冠华,葛全胜,宫鹏,等.全球变化和人类可持续发展:挑战与对策[J].科学通报,2013,58(21):2100-2106.
[6]郭敏杰,张亭亭,张建军,等.1982-2006年黄土高原地区植被覆盖度对气候变化的响应[J].水土保持研究,2014,21(5):35-40.
[7]吴喜芳,李改欣,潘学鹏,等.黄河源区植被覆盖度对气温和降水的响应研究[J].资源科学,2015,37(3):512-521.
[8]杜加强,贾尔恒·阿哈提,赵晨曦,等.三江源区近30年植被生长动态变化特征分析[J].草业学报,2016,25(1):1-12.
[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.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]Karlsen S R,Tolvanen A,Kubin E,et al.MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia[J].International Journal of Applied Earth Observation&Geoinformation,2008,10(3):0-266.
[13]杜加强,赵晨曦,房世峰,等.近30a新疆月NDVI动态变化及其驱动因子分析[J].农业工程学报,2016,32(5):172-181.
[14]徐丽萍,郭鹏,王玲,等.天山北麓中段植被NDVI变化及其对气侯因子的响应[J].水土保持研究,2013,20(6):158-161.
[15]Yang Q,Wu J,Li Y,et al.Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River[J].Agricultural and Forest Meteorology,2017,232:606-622.
[16]李超,赵淑清,方精云.1975-2014年福建省植被覆盖变化及其驱动因素[J].植物生态学报,2017,41(2):157-164.
[17]刘宪锋,任志远,林志慧,等.2000-2011年三江源区植被覆盖时空变化特征[J].地理学报,2013,68(7):897-908.
[18]李辉霞,刘国华,傅伯杰.基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J].生态学报,2011,31(19):5495-5504.
[19]栾金凯,刘登峰,黄强,等.近17年陕西榆林植被指数的时空变化及影响因素[J].生态学报,2018,38(8)179-189.
[20]张春森,胡艳,史晓亮.基于AVHRR和MODIS NDVI数据的黄土高原植被覆盖时空演变分析[J].应用科学学报,2016,34(6):702-712.
[21]孙庆龄,李宝林,许丽丽,等.2000-2013年三江源植被NDVI变化趋势及影响因素分析[J].地球信息科学学报,2016(12):131-140.
[22]Hashemi R,Madoliat R,Afshar A.Prediction of forming limit diagrams using the modified M-K method in hydroforming of aluminum tubes[J].International Journal of Material Forming,2016,9(3):297-303.
[23]薛天翼,白建军.基于TVDI和气象数据的陕西省春季旱情时空分析[J].水土保持研究,2017,24(4):240-246.
[24]刘璐璐,曹巍,邵全琴.近30年来长江源区与黄河源区土地覆被及其变化对比分析[J].地理科学,2017,37(2):311-320.
[25]邵全琴,樊江文,刘纪远,等.基于目标的三江源生态保护和建设一期工程生态成效评估及政策建议[J].中国科学院院刊,2017,32(1):35-44.
[26]杜际增,王根绪,李元寿.近45年长江黄河源区高寒草地退化特征及成因分析[J].草业学报,2015,24(6):5-15.
[27]范微维,易桂花,张廷斌,等.黄河源区青海省玛多县2000-2014年NDVI变化及气候驱动因子[J].水土保持通报,2017,37(1):335-340.
[28]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.