毛乌素沙地植被空间自相关分布模式及变化特征  

Vegetation Spatial Autocorrelation Distribution Pattern and Variation Characteristics in Mu Us Sandy Land

作　　者：周淑琴[1,2] 荆耀栋[2] 张青峰[1,3] 吴发启[1] 

机构地区：[1]西北农林科技大学资源环境学院,陕西杨凌712100 [2]山西农业大学资源环境学院,山西太谷030801 [3]西北农林科技大学中国旱区节水农业研究院,陕西杨凌712100

出　　处：《应用基础与工程科学学报》2015年第2期318-330,共13页Journal of Basic Science and Engineering

基　　金：国家科技支撑计划(2011BAD29B09-1-1C);西北农林科技大学基本科研业务费专项资金(QN2011155)

摘　　要：针对SPOT-VEG NDVI数据,利用空间统计学和经典统计学方法,分析毛乌素沙地1998—2013年的植被空间自相关分布模式、功能特征、发展趋势及气象因素的影响.结果表明(1)近16a榆林市植被NDVI空间自相关显著,存在1个低值和3个高值集聚区.低值集聚在西北风沙区,核心为低-低型,低-高型依附于外;高值集聚在东南部植被较好的3个热点区,核心为高-高型,高-低型依附在外.核心区面积较大,外围缓冲区面积较小.(2)低-低型NDVI变化分退化(1998—1999)、恢复(1999—2002)、稳定(2002—2007)和反复退化(2007—2013)4个阶段.高-高型NDVI分退化(1998—1999)、恢复(1999—2003)、稳定(2003—2007)、发展(2007—2013)4个阶段.(3)16年间低-低型NDVI介于0.2—0.4,高-高型介于0.3—0.7,1999年前急速下降,随后波动上升,速率分别为0.80%/a和1.86%/a.(4)低-低型和低-高型NDVI稳定性较强,面积变化较小;高-高型和高-低型反之.(5)16年间榆林市低-低型集聚区内NDVI值介于0.2—0.3之间的像元频数与年降雨量在0.05水平上显著相关,相关性为0.50.研究结果可为揭示沙地植被空间分布与变化特征、植被修复与建设提供良好的理论和方法参考.In order to examine the spatial autocorrelation distribution pattern ,functional characteristics, development trend and influence of meteorological factors about vegetation in the Mu Us sandland,SPOT-VEG NDVI sequence data from 1998 to 2013 were taken and analyzed with both the spatial statistics and classical statistical methods. Results show that ： （ 1 ） The NDVI of Yulin City has obvious spatial autocorrelation characteristics and four clustered regions existed. Low-Low region is widely distributed and is located at the northwest Sandland;High-High region is scattered on three hotspots in the southeastern area where the vegetation cover is higher;With smaller area, Low-High and High-Low region are attached outside the core regions above. （2）The NDVI variations of Low-Low region can be divided into four successive stages： Degradation （ 1998--1999 ）, recovery （ 1999--2002 ）, stabilization （ 2002--2007 ） and re-degradation （2007--2013） stage.And the NDVI variations of High-High region can also be divided into four successive stages ： Degradation （ 1998--1999 ）, recovery （ 1999--2003 ）, stabilization （ 2003-- 2007） and improvement（ 2007--2013 ） stage. （ 3 ） The NDVI value of Low-Low region is 0.2-- 0.4 and the High-High region is 0.3--0.7.Ahhough it rapid declined before 1999 with a mean rate of 1.86% and raised undulately with a mean rate of 0.8% after 1999.（4）The NDVI value of Low-LOw region and Low-High region doesn＇t change much and their area is relatively stable. However, the NDVI value of the High-High and High-Low region changes a lot. （ 5 ） In the past 16 years, the pixel frequencies of NDVI value is at 0. 2--0. 3 in Low-Low region. It is significantly related to the annual precipitation at the level of 0. 05, and the correlation coefficient is 0. 502. Results of this paper reveal the characteristics and regularity of the vegetation distribution, and lay a theoretical and methodological foundation to guide future vegetation restoration and recons

关 键 词：荒漠化防治 植被覆盖 空间自相关 毛乌素沙地 时空变化 

分 类 号：X87[环境科学与工程—环境工程] P964[天文地球—自然地理学]