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降水波动对荒漠草原生产力的影响
引用本文:赵学勇,刘良旭,王玮,常学礼,曲浩,毛伟,贾昆峰.降水波动对荒漠草原生产力的影响[J].中国沙漠,2014,34(6):1486-1495.
作者姓名:赵学勇  刘良旭  王玮  常学礼  曲浩  毛伟  贾昆峰
作者单位:1. 中国科学院寒区旱区环境与工程研究所, 甘肃 兰州 730000; 2. 鲁东大学 地理与规划学院, 山东 烟台 264025; 3. 乌拉特后旗林业局, 内蒙古 乌拉特后旗 015000
基金项目:国家科技支撑计划项目(2011BAC07B02);鲁东大学学科建设项目资助
摘    要:在干旱、半干旱荒漠草原区,降水量波动对植被生产力有显著影响.这种影响表现在两个层次上,一是降水量年际间波动,二是年内降水分布格局.对阴山北麓内蒙古乌拉特后旗荒漠草原多年气象资料和植被生产力的分析发现:从1971-2011年降水量的年际波动特点来看,荒漠草原区最高降水年的降水量是最小降水年的3.76倍.从气象、实际和矢量年降水量3种统计表达方式与生产力的关系来看,反映年际降水波动和年内分布特点的矢量降水与植被生产力的关系最密切(R=0.9200,R0.001=0.8010),回归方程F检验达到极显著.由于研究区植被组成以小半灌木和多年生草本为主,且年降水量大部分集中在5-8月,生长期内月降水量的累积效应明显,其中6-8月累计降水对植被生产力的影响最显著.

关 键 词:矢量降水  遥感  回归分析  荒漠草原  
收稿时间:2013-08-27
修稿时间:2014-09-23

Impacts of Precipitation Change on Desert-grassland Vegetation Productivity
Zhao Xueyong,Liu Liangxu,Wang Wei,Chang Xueli,Qu Hao,Mao Wei,Jia Kunfeng.Impacts of Precipitation Change on Desert-grassland Vegetation Productivity[J].Journal of Desert Research,2014,34(6):1486-1495.
Authors:Zhao Xueyong  Liu Liangxu  Wang Wei  Chang Xueli  Qu Hao  Mao Wei  Jia Kunfeng
Institution:1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; 2. College of Geography and Planning, Ludong University, Yantai 264025, Shandong, China; 3. Forestry Bureau of Urat Houqi, Urat Houqi 015000, Inner Mongolia, China
Abstract:Desert-grassland vegetation productivity is significantly influenced by precipitation change, at either annual or seasonal scale, in arid and semi-arid region. In the period of 1971 to 2011, the maximum annual precipitation is 3.76 times of the minimum in the desert-grassland transitional region northern to Yinshan Mountain rightly at the northern part of Inner Mongolia of China. Vector precipitation is more significantly related to vegetation productivity (R=0.920, R0.001=0.801)compared to long term annual precipitation and actual annual precipitation influence. Influence of the monthly accumulative precipitation on the productivity of grass and semi-bush dominated vegetation is more evident in the growing season and the influence in the period of June to August is the most significant.
Keywords:vector precipitation  remote sensing  regression analysis  desert-grassland  
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