1. 陕西师范大学旅游与环境学院,陕西,西安,710062
2. 广西财经学院,广西,南宁,530003
纸质出版:2014
移动端阅览
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, 2014,33(3):283-289.
WEI Zhen-feng, REN Zhi-yuan, ZHANG Chong, et al. Changes of Vegetation Cover and Its Correlation with Precipitation and Temperature in Northwest China[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 283-289.
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, 2014,33(3):283-289. DOI: 10.13961/j.cnki.stbctb.2014.03.056.
WEI Zhen-feng, REN Zhi-yuan, ZHANG Chong, et al. Changes of Vegetation Cover and Its Correlation with Precipitation and Temperature in Northwest China[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 283-289. DOI: 10.13961/j.cnki.stbctb.2014.03.056.
基于1982-2006年半月最大化合成GIMMS-NDVI、降水和气温数据
利用线性回归、Sen+Mann-Kendall和相关分析等方法分析了中国西北地区植被变化及其与降水和气温相关的时空特征。研究结果表明: (1) 1982-2006年
西北植被变化总体呈改善趋势
增速约为3%/10 a(p=0.19)。大部分地区植被变化呈增长态势
主要分布在地表水资源丰富地区;只有少数地区呈下降趋势
主要分布在一些荒漠干旱地区。(2) 近25 a西北的降水量变化波动性较大
总体变化呈较弱减少趋势;气温年际变化波动性相对较小
总体变化趋势为显著上升。(3) 从9月到翌年2月
即秋季和冬季
植被变化与当月降水相关程度较强;从3-8月
即春季和夏季
植被对降水的响应存在一定的滞后。而植被与气温相关
只有1
3月和12月存在一个月滞后
其他月份都与当月气温相关程度较强。(4) 在干旱地区
地表水资源缺乏
植被与降水呈正相关
与气温呈负相关;在地表水资源丰富地区
植被与降水呈负相关
与气温呈正相关。
Based on GIMMS-NDVI synthesizing half month maximum every year and precipitation and temperature data from 1982 to 2006
changes of vegetation cover and spatial and temporal characteristics of its correlation with precipitation and temperature were studied using linear regression
Sen+Mann-Kendall analysis and correlation analysis methods. Results are as follows: (1) From 1982 to 2006
change of vegetation cover was obvious
with a changing rate of about 3%/10 a (p=0.19). Changes of vegetation showed a rising trend in most of regions with more surface water and a declining trend mainly in few arid desert regions. (2) The fluctuation of precipitation was obvious in Northwest China during the past 25 a and the overall trend showed a little decreasing. Interannual fluctuation of temperature was relatively small and its overall trend significantly increased. (3) From September to February next year
that is
from autumn to winter
the correlation between vegetation changes and precipitation was strong. From March to August
that is
from spring to summer
the response of vegetation to precipitation was a delay-dependent. The response of vegetation to temperature had one month lag in January
March and December and a significant correlation in other months. (4) Spatially
in the arid regions lacking surface water resources
the relationship between vegetation changes and precipitation was positive and between vegetation changes and temperature
negative. In the regions rich in surface water
the relationship between vegetation changes and precipitation was negative
and between vegetation changes and temperature
positive.
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