[1]张巧凤,刘桂香,于红博,等.锡林郭勒草原蒸散发月季动态及相关因子分析[J].水土保持研究,2017,24(03):164-169.
　ZHANG Qiaofeng,LIU Guixiang,YU Hongbo,et al.Monthly and Seasonal Dynamics of ET in Xilingol Steppe and Related Factors Analysis[J].Research of Soil and Water Conservation,2017,24(03):164-169.
点击复制

锡林郭勒草原蒸散发月季动态及相关因子分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 24 期数: 2017年03期 页码: 164-169 栏目: 出版日期: 2017-06-28
Title:
Monthly and Seasonal Dynamics of ET in Xilingol Steppe and Related Factors Analysis
作者:
张巧凤1,2,3,4, 刘桂香2, 于红博1,3, 玉山1,3, 包玉海1,3
1. 内蒙古师范大学 地理科学学院, 呼和浩特 010022;
2. 中国农业科学院草原研究所, 呼和浩特 010010;
3. 内蒙古自治区 遥感与地理信息系统重点实验室, 呼和浩特 010022;
4. 内蒙古防灾减灾与生态安全监测实验室, 呼和浩特 010022
Author(s):
ZHANG Qiaofeng1,2,3,4, LIU Guixiang2, YU Hongbo1,3, YU Shan1,3, BAO Yuhai1,3
1. College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China;
2. Institute of Grassland Research of Chinese Academy of Agricultural Sciences, Hohhot 010010, China;
3. Inner Mongolia Key Laboratory of Remote Sensing and Geography Information System, Hohhot 010022, China;
4. Inner Mongolia Laboratory of Disaster Prevention and Reduction and Ecological Safety Monitoring, Hohhot 010022, China
关键词:
锡林郭勒草原; 蒸散发; 植被指数; 气象要素; 相关分析
Keywords:
Xilingol grassland; ET; NDVI; meteorological factors; correlation analysis
分类号:
S812
摘要:
蒸散发（Evapotranspiration，ET）的时空动态对理解水热对植被的影响具有重要作用。利用MODIS MOD16 A2和MOD13 A3月产品数据及气象数据，通过回归分析和相关分析等方法，研究了锡林郭勒草原不同类型草地近15年（2000—2014年）的ET月季动态及相关因子。结果表明：3—10月的ET均表现出草甸草原 > 典型草原和沙地植被 > 荒漠草原，1—2月和11—12月的ET均表现出草甸草原 < 典型草原和沙地植被 < 荒漠草原。荒漠草原11月ET最大，其余各类草原均在7月达到最大值；各类草原的最小ET均为5月。各类草原3—5月和10月的ET均为下降趋势，而1月、6月、7月和12月的ET均为上升趋势。春季、夏季和秋季的ET均表现出草甸草原 > 典型草原和沙地植被 > 荒漠草原，而冬季的ET表现出草甸草原 < 典型草原和沙地植被 < 荒漠草原。荒漠草原冬季ET最大，其余各类草原的ET均在夏季达到最大值。各类草原春季和秋季的ET均为下降趋势，而夏季和冬季的ET均为上升趋势。Pearson相关分析表明3—10月及春季、夏季和秋季的ET与NDVI和降水量显著正相关，与平均气温显著负相关（p < 0.05）；相反，1—2月、11—12月及冬季的ET与降水量负相关，而与平均气温显著正相关（p < 0.05）。
Abstract:
Spatiotemporal dynamic of evapotranspiration (ET) plays an important role in understanding the impact of water and heat on vegetation. In the present study, MODIS MOD16A2 and MOD13A3 monthly data and meteorological data were employed to analyze the spatiotemporal dynamics of monthly and seasonal ET in different types of grasslands in recent 15 years (from 2000 to 2014) in Xilingol steppe and the correlation between ET and related factors by means of regression analysis and correlation analysis. The results showed that ET decreased from east to west in Xilingol steppe and in the sequence: meadow steppe > typical steppe and sandy vegetation > desert steppe from March to October. In contrast, ET increased from east to west in Xilingol steppe and in the order: meadow steppe < typical steppe and sandy vegetation < desert steppe in January, February, November and December. The max ET appeared in November in desert steppe, but it reached the maximum value in July in other types of grasslands. The min ET all appeared in May in different types of grasslands. In all types of grasslands, ET had the decreasing trend from March to May, and October, but in January, June, July and December, it had the increasing trend, but all the changes were not significant. In spring, summer and autumn, ET decreased from east to west with meadow steppe > typical steppe and sandy vegetation > desert steppe. In contrast, ET increased from east to west with meadow steppe < typical steppe and sandy vegetation < desert steppe in winter. The max ET appeared in winter in desert steppe, but it reached the maximum value in summer in other types of grasslands. In all types of grasslands, ET had the decreasing trend in spring and autumn, but in summer and winter, it had the increasing trend, but all the changes were not significant. Pearson correlation analysis indicated that there was significant positive correlation (p<0.05) between ET and NDVI and precipitation from March to October and in spring, summer and autumn. On the contrary, in January, February, November, December and in winter, there was no significant negative correlation between ET and precipitation, but significant positive correlation (p<0.05) between ET and mean temperature appeared.

参考文献/References:

[1] 缪丽娟,蒋冲,何斌,等.近10a来蒙古高原植被覆盖变化对气候的响应[J].生态学报,2014,34(5):1295-1301.
[2] 曹鑫,辜智慧,陈晋,等.基于遥感的草原退化人为因素影响趋势分析[J].植物生态学报,2006,30(2):268-277.
[3] 辜智慧,史培军,陈晋,等.基于植被-气候最大响应模型的草地退化评价[J].自然灾害学报,2010,19(1):13-20.
[4] 王海梅.锡林郭勒地区气候变化规律与植被覆盖变化驱动机制研究[D].呼和浩特:内蒙古农业大学,2009:69-85.
[5] 曹立国,刘普幸,张克新,等.锡林郭勒盟草地对气候变化的响应及其空间差异分析[J].干旱区研究,2011,28(5):789-794.
[6] 巴图娜存,胡云锋,艳燕,等.1970年代以来锡林郭勒盟草地资源空间分布格局的变化[J].资源科学,2012,34(6):1017-1023.
[7] 王颖,张科利,李峰.基于10年MODIS数据的锡林郭勒盟草原植被覆盖度变化监测[J].干旱区资源与环境,2012,26(9):165-169.
[8] 布仁,包玉海.基于MOD13A1的锡林郭勒草原近13年植被覆盖变化分析[C]//黄崇福.中国灾害防御协会风险分析专业委员会第六届年会.巴黎:亚特兰蒂斯出版社,2014:859-863.
[9] 石瑞香.锡林郭勒草原牧草长势和第一性生产力的动态监测研究[D].北京:中国农业科学院,2005:4-30.
[10] 张连义.锡林郭勒草地牧草产量遥感监测模型的研究[D].呼和浩特:内蒙古农业大学,2006:21-72.
[11] 杭玉玲,包刚,包玉海,等.2000-2010年锡林郭勒草原植被覆盖时空变化格局及其气候响应[J].草地学报,2014,22(6):1194-1204.
[12] 张圣微,赵鸿彬,张发,等.基于MODIS NDVI的锡林郭勒草原近10年的时空动态[J].草业科学,2014,31(8):1416-1423.
[13] Wang K, Dickinson R E. A review of global terrestrial evapotranspiration:Observation, modeling, climatology, and climatic variability[J]. Reviews of Geophysics, 2012,50(RG2005):1-54.
[14] Trenberth K E, Fasullo J T, Kiehl J. Earth’s global energy budget[J]. Bulletin of the American Meteorological Society, 2009,90(3):311-323.
[15] Jung M, Reichstein M, Ciais P, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply[J]. Nature, 2010,467(7318):951-954.
[16] Li Z, Tang R, Wan Z, et al. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data[J]. Sensors, 2009,9(5):3801-3853.
[17] 高彦春,龙笛.遥感蒸散发模型研究进展[J].遥感学报,2008,12(3):515-528.
[18] 吴桂平,刘元波,赵晓松,等.基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J].地理研究,2013,32(4):617-627.
[19] 范建忠,李登科,高茂盛.基于MOD16的陕西省蒸散量时空分布特征[J].生态环境学报,2014,23(9):1536-1543.
[20] Huang J, Ma H, Liu J, et al. Regional winter wheat yield estimation by assimilating MODIS ET and LAI products into SWAP model[C]//2013Second International Conference on Agro-Geoinformatics. IEEE,2013:454-459.
[21] 张巧凤,刘桂香,于红博,等.基于MOD16A2的锡林郭勒草原近14年的蒸散发时空动态[J].草地学报,2016,24(2):286-293.
[22] 蒙古学百科全书地理卷编辑委员会.蒙古学百科全书.地理卷[M].呼和浩特:内蒙古人民出版社,2012:830-832.
[23] 锡林郭勒盟志编纂委员会.锡林郭勒盟志[M].呼和浩特:内蒙古人民出版社,1996:229-283.
[24] 于红博,包玉海,李和平,等.锡林河流域蒸散量遥感反演[J].水土保持研究,2014,21(1):224-228.
[25] 郭晓寅.黑河流域蒸散发分布的遥感研究[J].自然科学进展,2005,15(10):116-120.
[26] 潘竟虎,刘春雨.黄土丘陵沟壑区小流域蒸散发的遥感估算:以静宁县魏沟流域为例[J].西北师范大学学报:自然科学版,2008,44(5):88-93.
[27] 宋文献,江善虎,杨春生,等.基于SEBS模型的老哈河流域蒸散发研究[J].水资源与水工程学报,2012,23(5):115-118.
[28] 冯晓曦,秦作栋,郑秀清,等.基于SEBS模型的柳林泉域蒸散发研究[J].太原理工大学学报,2014,45(2):259-264.
[29] 倪猛,陈波,岳建华,等.洛河流域蒸散发遥感反演及其与各参数的相关性分析[J].地理与地理信息科学,2007,23(6):34-37.

相似文献/References:

[1]田雷,杨胜天,王玉娟.应用遥感技术研究贵州春季蒸散发空间分异规律[J].水土保持研究,2008,15(01):87.
　TIAN Lei,YANG Sheng-tian,WANG Yu-juan.Research on the Spring Evapotranspiration of Karst Area Based on RS and GIS in Guizhou Province[J].Research of Soil and Water Conservation,2008,15(03):87.
[2]侯兰功,肖洪浪.额济纳绿洲草地蒸散系数研究[J].水土保持研究,2012,19(05):126.
　HOU Lan-gong,XIAO Hong-lang.Study on Evapotranspiration Coefficient of Grassland during the Growing Season in the Ejina Oasis[J].Research of Soil and Water Conservation,2012,19(03):126.
[3]王蕊,张继权,曹永强,等.基于SEBS模型估算辽西北地区蒸散发及时空特征[J].水土保持研究,2017,24(06):382.
　WANG Rui,ZHANG Jiquan,CAO Yongqiang,et al.Estimation of Evapotranspiration and Analysis of Temporal-Space Characteristic in Northwest of Liaoning Province Based on SEBS Model[J].Research of Soil and Water Conservation,2017,24(03):382.
[4]邓兴耀,姚俊强,刘志辉,等.2000-2014年天山山区蒸散发时空动态特征[J].水土保持研究,2017,24(04):266.
　DENG Xingyao,YAO Junqiang,LIU Zhihui,et al.Spatiotemporal Dynamic Change Characteristics of Evapotranspiration in Tianshan Mountains from 2000 to 2014[J].Research of Soil and Water Conservation,2017,24(03):266.
[5]姚楠,赵英,张建国,等.不同放牧条件内蒙古草原土壤冻融期水热动态[J].水土保持研究,2017,24(05):132.
　YAO Nan,ZHAO Ying,ZHANG Jianguo,et al.Soil Water and Heat Dynamics During Freezing and Thawing Period Under Three Grazing Densities in Grassland of Inner Mongolia[J].Research of Soil and Water Conservation,2017,24(03):132.
[6]董国涛,王鸣程,白娟,等.基于遥感的泾河流域日蒸散量估算[J].水土保持研究,2015,22(02):101.
　DONG Guotao,WANG Mingcheng,BAI Juan,et al.Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin[J].Research of Soil and Water Conservation,2015,22(03):101.
[7]王军,李和平,鹿海员,等.典型草原地区蒸散发研究与分析[J].水土保持研究,2013,20(02):69.
　WANG Jun,LI He-ping,LU Hai-yuan,et al.Research for Evapotranspiration of the Typical Grassland[J].Research of Soil and Water Conservation,2013,20(03):69.
[8]白娟,杨胜天,董国涛,等.基于多源遥感数据的三江平原日蒸散量估算[J].水土保持研究,2013,20(03):190.
　BAI Juan,YANG Sheng-tian,DONG Guo-tao,et al.Estimation of Daily Evapotranspiration Based on the Multi-Source Remote Sensing Data in the Sanjiang Plain[J].Research of Soil and Water Conservation,2013,20(03):190.
[9]周林飞,许化龙,董福君,等.石佛寺人工湿地芦苇群落蒸散发计算与分析[J].水土保持研究,2014,21(04):50.
　ZHOU Lin-fei,XU Hua-long,DONG Fu-jun,et al.Calculation and Analysis on Evapotranspiration of Phragmites Communis in Constructed Wetland in Shifosi Area[J].Research of Soil and Water Conservation,2014,21(03):50.
[10]罗建勇,张卓栋,孙传龙,等.道路和居民点对锡林郭勒草地风蚀参数的影响[J].水土保持研究,2018,25(02):21.
　LUO Jianyong,ZHANG Zhuodong,SUN Chuanlong,et al.Influences of Road and Residence on Wind Erosion Parameters in the Xilinguole Grassland[J].Research of Soil and Water Conservation,2018,25(03):21.

备注/Memo

收稿日期:2016-10-01;改回日期:2016-10-18。
基金项目:中国农业科学院创新工程“草原非生物灾害防灾减灾团队”（CAAS-ASTIP-IGR2015-04）；国家科技支撑计划子课题（2013BAK05B01）；国家自然科学基金（71263033）；内蒙古科技计划项目“阿尔山森林灾害监测预警与应急管理系统研究”
作者简介:张巧凤(1978-),女,内蒙古土左旗人,讲师,博士,主要从事3S应用和草原生态环境监测与风险评估研究。E-mail:zqf2099@163.com
通讯作者:刘桂香(1962-),女,内蒙古乌兰察布人,研究员,博士,主要从事草原生态环境监测评价和草原非生物灾害监测评估研究。E-mail:liugx804@163.com

更新日期/Last Update: 1900-01-01