[1]赵安周,张安兵,赵延旭,等.基于MODISNDVI数据的陕甘宁地区植被覆盖时空变化及其对极端气候的响应[J].水土保持研究,2018,25(03):224-231.
　ZHAO Anzhou,ZHANG Anbing,ZHAO Yanxu,et al.Spatiotemporal Changes of Vegetation in the Shaanxi—Gansu—Ningxia Region and Response to Climatic Extremes Based on MODIS NDVI Data[J].Research of Soil and Water Conservation,2018,25(03):224-231.
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基于MODISNDVI数据的陕甘宁地区植被覆盖时空变化及其对极端气候的响应

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年03期 页码: 224-231 栏目: 出版日期: 2018-04-10
Title:
Spatiotemporal Changes of Vegetation in the Shaanxi—Gansu—Ningxia Region and Response to Climatic Extremes Based on MODIS NDVI Data
作者:
赵安周1,2, 张安兵1,2, 赵延旭3, 范倩倩1,2, 赵玉玲1,2
1. 河北工程大学 矿业与测绘工程学院, 河北 邯郸 056038;
2. 河北工程大学 河北省煤炭资源综合开发与利用协同创新中心, 河北 邯郸 056038;
3. 河北工程大学 建筑与艺术学院, 河北 邯郸 056038
Author(s):
ZHAO Anzhou1,2, ZHANG Anbing1,2, ZHAO Yanxu3, FAN Qianqian1,2, ZHAO Yuling1,2
1. College of Resources, Hebei University of Engineering. Handan, Hebei 056038, China;
2. Hebei Collaborative Innovation Center of Coal Exploitation, Hebei University of Engineering. Handan, Hebei 056038;
3. College of Architecture and Art, Hebei University of Engineering. Handan, Hebei 056038, China
关键词:
NDVI; 时空变化; 极端气候指数; 相关分析; 陕甘宁地区
Keywords:
NDVI; spatiotemporal variation; climate extremes; correlation analysis; Shaanxi-Gansu-Ningxia region
分类号:
Q948.1;P467
摘要:
干旱、热浪等极端气候事件对植被生态系统有重要的影响。基于MODIS NDVI数据集、日降水、日平均气温以及最高和最低气温数据，辅以Sen趋势分析、相关分析等方法，分析了2000-2014年陕甘宁地区植被覆盖的时空演变及其对极端气候的响应。结果表明：（1） 近15年来陕甘宁地区NDVI呈显著增加趋势（p<0.01），其增加速率为0.066/10 a，就不同的植被类型来看，草地、灌丛、栽培作物、针叶林和阔叶林均呈现显著上升的趋势（p<0.01），其上升速率分别为0.06/10 a，0.058/10 a，0.077/10 a，0.039/10 a和0.036/10 a；（2） 空间上，NDVI呈由东南向西北递减的分布格局，显著增加的区域主要位于榆林、延安等生态工程重点建设的区域；（3） 就极端气候指数的变化来看，除TXx外，其他极端气候指数的变化均未通过0.05置信水平检验；（4） 在月尺度上，NDVI与极端降水指数（RX5day和RX1day）和极端气温指数（TMAXmean，TMINmean，TNx，TNn，TXn和TXx）存在显著相关性；（5） 在季节尺度上，春季和秋季植被NDVI与极端气候指数均存在显著的相关性（p<0.01），夏季植被NDVI与极端降水指数呈显著正相关（p<0.05），冬季植被NDVI与RX5day呈显著负相关（p<0.05）；（6） 滞后性分析表明月NDVI与极端降水指数（RX1day和RX5day）和极端气温指数（TMAXmean和TXx）前1个月的相关性大于当月、前2个月以及前3个月，表明该地区的植被对这些极端气候指数的响应存在一定的滞后性。
Abstract:
Droughts, precipitation and other extreme climatic events often impact on vegetation. Base on daily precipitation, temperature (average, maximum, and minimum) data from 14 meteorological stations and a satellite-derived normalized difference vegetation index (NDVI) from MODIS dataset, we investigated relationship between vegetation change and climatic extremes in Shaanxi-Gansu-Ningxia region during 2000-2014. The results showed that the vegetation coverage of the study region exhibited the significant increase, with a linear tendency being 0.066/decade (p<0.01) during 2000-2014. Annual NDVI during 2000-2014 for grassland, shrub-land, cultivated vegetation, needle leaved forest and broad-leaf forest exhibited the significant increase in a linear trend of 0.06/decade, 0.058/decade, 0.077/decade, 0.039/decade and 0.036/decade (p<0.01), respectively. As for spatial distribution, NDVI showed thedecreasing trend from southeast to northwest, the areas in Yulin and Yan’an exhibited the significant increase because of the ecological engineering construction. All of the climatic extremes had no significantly change trend except the TXx. On the monthly scale, vegetation coverage and different vegetation types significantly positively responded to precipitation extremes and temperature extremes (TMAXmean, TMINmean, TNx, TNn, TXn and TXx) (p<0.01). All of the precipitation extremes and temperature extremes indicted significant positive relationship with NDVI in the spring and autumn (p<0.01). However, only the relationship between precipitation extremes (RX1day and RX5day) and NDVI was significant in summer. The vegetation showed the significant negative relation to RX5day in winter (p<0.05). Time lags analysis demonstrated that NDVI responded to precipitation extremes (RX1day and RX5day) and temperature extremes (TMAXmean and TXx) a lag of 1 month.

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备注/Memo

收稿日期:2017-06-06;改回日期:2017-07-12。
基金项目:河北省自然科学基金（D2017402159）；邯郸市科学技术研究与发展计划项目（1724230057-1/1723209055-2）；河北省社会科学发展研究课题（201703060201）
作者简介:赵安周(1985-),男,河北邯郸人,博士,讲师,主要从事植被遥感及其干旱评价方面的研究。E-mail:zhaoanzhou@126.com

更新日期/Last Update: 1900-01-01