[1]庞家泰,段金亮,张 瑞,等.2000—2019年渭河流域植被覆盖度时空演变特征及气候响应[J].水土保持研究,2021,28(05):230-237.
　PANG Jiatai,DUAN Jinliang,ZHANG Rui,et al.Characteristics of Spatiotemporal Evolution and Climate Response of Vegetation Cover in the Wei River Basin from 2000 to 2019[J].Research of Soil and Water Conservation,2021,28(05):230-237.
点击复制

2000—2019年渭河流域植被覆盖度时空演变特征及气候响应

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 28 期数: 2021年05期 页码: 230-237 栏目: 出版日期: 2021-08-20
Title:
Characteristics of Spatiotemporal Evolution and Climate Response of Vegetation Cover in the Wei River Basin from 2000 to 2019
文章编号:
1005-3409(2021)05-0230-08
作者:
庞家泰1,段金亮1,张 瑞1,2,吕继超1
(1.西南交通大学 地球科学与环境工程学院测绘遥感信息系,成都 611756; 2.西南交通大学 高速铁路运营安全空间信息技术国家地方联合工程实验室,成都 611756)
Author(s):
PANG Jiatai1,DUAN Jinliang1,ZHANG Rui1,2,LYU Jichao1
(1.Department of Surveying,Mapping and Remote Sensing Information,School of Earth Science and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China; 2.Southwest Jiaotong University,National and Local Joint Engineering Laboratory for High-speed Railway Operation Safety Space Information Technology,Chengdu 611756,China)
关键词:
MODIS-NDVI;  渭河流域;  植被覆盖度;  趋势分析;  Hurst指数;  M-K检验
Keywords:
MODIS-NDVI;  Weihe River Basin;  vegetation coverage;  trend analysis;  Hurst index;  M-K test
分类号:
Q948
文献标志码:
A
摘要:
渭河是黄河第一大支流和主要输沙源之一,渭河流域涵盖黄土高原及秦岭地区,跨越不同的气候带且生态环境相对脆弱。因此,对其流域植被覆盖情况及气候响应分析具有重要研究意义。基于MODIS-NDVI数据,结合像元二分法模型计算植被覆盖度,利用趋势分析、Hurst指数进行渭河流域2000—2019年植被覆盖度的空间演变特征及变化趋势分析。结合渭河流域气象数据,利用偏相关分析、Mann-Kendall检验进行气候因子对植被覆盖度的影响分析。结果表明:(1)渭河流域植被覆盖度在空间域上表现为陕北地区及西北宁夏甘肃地区植被覆盖度较低,渭河流域南部秦岭一带及泾河、洛河一带植被覆盖度相对较高,流域整体在空间域上呈现为由东南向西北逐渐递减的趋势;(2)2000—2019年渭河流域植被覆盖度整体呈上升趋势,上升速率为0.095/10 a,其中在渭河干流中下游城市较密集区植被覆盖度有显著性下降;(3)渭河流域植被覆盖度未来变化趋势表现为流域整体呈现进一步改善趋势(面积占93.36%),其中沿渭河中下游城市密集地区植被覆盖度未来变化趋势呈现持续退化趋势(面积占6.64%);(4)近40年来,渭河流域气温呈显著性上升趋势,上升速率为0.42℃/10 a,降水呈现缓慢增加趋势,渭河流域降水、气温对植被覆盖度的相关性影响存在明显的地域特征,且对植被覆盖度影响的关联性并不显著,研究结果可为渭河流域生态建设及水土保持工作提供参考意义。
Abstract:
The Weihe River is one of the largest tributaries and main sources of sediment transport in the Yellow River,which covers the Loess Plateau and Qinling region,spans different climatic zones and has a relatively fragile ecological environment. Therefore,it is of great significance to analyze vegetation cover and climate response in this basin. Based on MODIS-NDVI data,we calculated vegetation cover by combining the binary model,and used trend analysis and Hurst index to analyze the spatial evolution characteristics and trends of vegetation cover in the Weihe River Basin from 2000 to 2019. The influence of climate factors on vegetation cover was analyzed by using partial correlation analysis and Mann-Kendall test and combining with the meteorological data of the Weihe River Basin. The results show that:(1)the vegetation cover of the Weihe River Basin showed the low level in the northern Shaanxi region and the northwest Ningxia and Gansu area,the relatively high level in the Qinling area and the Jinghe River and Luohe River areas in the southern part of the Weihe River basin,and presented the decreasing trend from southeast towards the northwest in the whole basin;(2)the vegetation cover of the Weihe River basin had risen overall from 2000 to 2019 with the increase rate of 0.095/decade,the vegetation cover significantly decreased in the regions with the more dense urban areas in the middle and lower reaches of the main stream of the Weihe River;(3)the trend of future changes in vegetation cover in the Weihe River basin showed the further improvement trend in the basin as a whole(area ratio 93.36%),the future trend of vegetation cover in regions with the dense urban areasalong the middle and lower reaches of the Weihe River showed a trend of continuous degradation(area ratio 6.64%);(4)in the past 40 years,the temperature of the Weihe River Basin had shown a significant upward trend with the increase rate of 0.42 ℃/decade,and the precipitation showed a slow increase trend; the correlation between temperature and vegetation cover had obvious regional characteristics,and the correlation of vegetation cover was not significant. The results of the study can provide reference significance for ecological construction and soil and water conservation in the Weihe River Basin.

参考文献/References:

[1] Wookey P A,Aerts R,Bardgett R D,et al. Ecosystem feed backs and cascad eprocesses: under standing the irrolein theres ponses of Arcticandal pineeco system stoen vironmen talchange[J]. Global Change Biology,2010,15(5):1153-1172.
[2] Chen B,Xu G,Coops N C,et al. Satellite-observed changes in terrestrial vegetation growth trends across the Asia-Pacific region associated with land cover and climate from 1982 to 2011[J]. International Journal of Digital Earth,2016,9(11):1055-1076.
[3] 丁建丽,塔西甫拉提.特依拜,刘传胜.策勒绿洲植被覆盖动态变化遥感研究[J].中国沙漠,2003,23(1):79-83.
[4] Carroll C,Merton L,Burger P. Impact of vegetative cover and slope on runoff,erosion,and water quality for field plots on a range ofsoil and spoil materials on central Queenslandcoal mines[J]. Australian Journal of Soil Research,2000,38(2):313D328.
[5] 李秀花,师庆东,常顺利,等.1981—2001年中国西北干旱区NDVI变化分析[J].干旱区地理,2008,31(6):940-945.
[6] 梅安新,彭望禄,秦其明,等.遥感导论[M].北京:高等教育出版社,2001.
[7] Xin Z B,Xu J X,Zheng W. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau(1981—2006):Impacts of climate changes and human activities[J]. Science in China Series D:Earth Sciences,2008,51(1):67-78.
[8] 程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008(1):13-18.
[9] Hansen P M,Schjoerring J K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression[J]. Remote Sensing of Environment,2003,86(4):542D553.
[10] Chen F,Yuan Y,Zhang R,et al. A tree-ring based drought reconstruction(AD1760-2010)for the Loess Plateau and its possible driving mechanisms[J]. Global and Planetary Change,2014,122:82-88.
[11] 蒋冲,王飞,穆兴民,等.退耕还林(草)背景下渭河流域植被覆盖时空变化分析[J].农业现代化研究,2012,33(4):470-474.
[12] 中华人民共和国水利部. 中国河流泥沙公报(长江、黄河)[N]. 中国水利报,2001-12-27(002).
[13] 乔晨,占车生,徐宗学,等.渭河流域关中段近30年植被动态变化分析[J].北京师范大学学报:自然科学版,2011,47(4):432-436.
[14] 傅志军,黄蓉,周毓栋,等.基于NDVI的渭河流域时空演变分析[J].湖北农业科学,2019,58(6):54-57.
[15] 余东洋.渭河流域植被动态变化遥感时序分析及生态安全评价[D].西安:长安大学,2019.
[16] 刘桂芳.黄河中下游过渡区近20年来县域土地利用变化研究[D].郑州:河南大学,2009.
[17] 杜希溪.渭河流域气候舒适度变化特征及其对植被覆盖响应研究[D].陕西杨凌:西北农林科技大学,2013.
[18] 陆一帆.近30年来渭河流域植被与气候变化互影响模式的探寻分析[J].北京测绘,2016(5):7-12.
[19] 张成才,娄洋,李颖,等.基于像元二分模型的伏牛山地区植被覆盖度变化[J].水土保持研究,2020,27(3):301-307.
[20] Jing X,Yao W Q,Wang J H,et al. A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing's mountainous areas during the last 20 years[J]. Mathematical and Computer Modelling,2011,54(3/4):1079-1085.
[21] 宋怡,马明国.基于GIMMS AVHRR NDVI数据的中国寒旱区植被动态及其与气候因子的关系[J].遥感学报,2008,12(3):499-505.
[22] 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.
[23] 李双双,延军平,万佳.近10年陕甘宁黄土高原区植被覆盖时空变化特征[J].地理学报,2012,67(7):960-970.
[24] 白子怡,薛亮,张翀.基于土壤湿度与植被覆盖变化的黄土高原生态恢复项目适宜性评价[J].水土保持研究,2019,26(4):292-298,379.
[25] 周旗,张海宁,任源鑫.1961—2016年渭河流域极端降水事件研究[J].地理科学,2020,40(5):833-841.
[26] 张林齐,任立良,江善虎,等.1982—2015年渭河流域植被变化特征及气候因素影响[J].水文,2018,38(2):66-72.
[27] 陆阳,尹剑,邹逸江,等.淮河流域近50年来气候变化及突变分析[J].世界科技研究与发展,2016,38(4):814-820.
[28] 李应鑫,李石华,彭双云.云南省九大高原湖泊流域NDVI时空演变及其与气候的响应关系[J].水土保持研究,2020,27(4):192-200.
[29] 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.

相似文献/References:

[1]仝莉棉,曾彪,王鑫.2000-2012年山西省不同植被类型物候变化及其对气候变化的响应[J].水土保持研究,2016,23(02):194.
　TONG Limian,ZENG Biao,WANG Xin.Phenological Variation of Different Vegetation Types and Its Response to Climate Changes in Shanxi Province from 2000 to 2012[J].Research of Soil and Water Conservation,2016,23(05):194.
[2]仝莉棉,曾彪,王鑫.山西省不同生态区NDVI时空变化及其影响因素[J].水土保持研究,2016,23(03):71.
　TONG Limian,ZENG Biao,WANG Xin.Spatiotemporal Variation of NDVI and Its Influence Factors in Different Ecological Districts, Shanxi Province[J].Research of Soil and Water Conservation,2016,23(05):71.
[3]位宏,李晓蕾,徐丽萍,等.玛纳斯河流域NDVI时空变化及对气象因子的响应[J].水土保持研究,2019,26(01):215.
　WEI Hong,LI Xiaolei,XU Liping,et al.Spatial and Temporal Distribution of NDVI and Its Response to Climate Factors in the Manasi River Basin[J].Research of Soil and Water Conservation,2019,26(05):215.
[4]王丽霞,张珈玮,孟妮娜,等.基于CA-Markov的渭河流域NDVI时空变化模拟及预测[J].水土保持研究,2020,27(04):206.
　WANG Lixia,ZHANG Jiawei,MENG Nina,et al.Simulation and Prediction of Temporal and Spatial Changes of NDVI in Weihe River Basin Based on CA-Markov[J].Research of Soil and Water Conservation,2020,27(05):206.
[5]邓礼强,王 飞,韩剑桥,等.渭河关中段水系演变及其对城镇化的响应[J].水土保持研究,2020,27(04):256.
　DENG Liqiang,WANG Fei,HAN Jianqiao,et al.Change of Weihe River System and Its Response to Urbanization in Guanzhong Area[J].Research of Soil and Water Conservation,2020,27(05):256.
[6]李烁阳,刘小燕,杨贵羽,等.土地利用变化对渭河流域水文过程的影响[J].水土保持研究,2021,28(03):133.
　LI Shuoyang,LIU Xiaoyan,YANG Guiyu.Analysis of the Impact of Land Use Change on Runoff in the Weihe River Basin from the Perspective of Hydrologic Factor Variation[J].Research of Soil and Water Conservation,2021,28(05):133.
[7]刘引鸽,包江川,杨雨欣,等.渭河流域1850—2005年降水及蒸发量变化时空特征[J].水土保持研究,2022,29(06):224.
　LIU Yinge,BAO Jiangchuan,YANG Yuxin,et al.Temporal and Spatial Characteristics of Precipitation and Evaporation in the Weihe River Basin from 1850 to 2005[J].Research of Soil and Water Conservation,2022,29(05):224.

备注/Memo

收稿日期:2020-08-21 修回日期:2020-10-20
资助项目:国家重点研发计划(2017YFB05027000); 中国铁路总公司科技研究开发计划重点课题(2016T002-E); 四川省科技计划面上项目(2018JY0564)
第一作者:庞家泰(1997—),男,重庆黔江人,硕士研究生,主要从事定量遥感方向科研工作。E-mail:Pjt_Shawn@my.swjtu.edu.cn
通信作者:张瑞(1982—),男,河南省新乡市人,博士,副教授,主要从事微波遥感与雷达干涉测量相关科研工作。E-mail:zhangrui@swjtu.edu.cn

更新日期/Last Update: 2021-08-20