globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6443373
论文题名:
基于SPOT-VGT数据的湖南省植被变化及其对气候变化的响应
其他题名: Vegetation change and its response to climate change based on SPOT-VGT in Hunan Province of southern China
作者: 刘正才; 屈瑶瑶
刊名: 北京林业大学学报
ISSN: 1000-1522
出版年: 2019
卷: 41, 期:2, 页码:793-801
语种: 中文
中文关键词: 湖南省 ; 气候变化 ; 相关性 ; 时滞性
英文关键词: NDVI ; Hunan Province ; NDVI ; climate change ; correlation ; time lag
WOS学科分类: GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向: Geology
中文摘要: 【目的】本文旨在研究湖南省植被变化及其对气候变化的响应,以期为湖南省生态保护提供科学指导依据。【方法】利用2000-2015年SPOT-VGT NDVI、植被类型以及气象数据,辅以最小二乘趋势分析和相关性分析,探讨了湖南省植被生长变化特征并从年和月变化尺度分析了不同类型植被对气候变化的响应。【结果】(1)近16年湖南省大部分地区植被NDVI呈增加趋势,但空间分布差异较大,NDVI高值区在湘西北和湘西南,而湘中及湘北植被覆盖较差;(2)2000-2015年湖南省植被NDVI增幅为0.004 5/a,灌丛NDVI增加趋势最大,达0.005 1/a,而沼泽最小,仅为0.002 6/a;(3)湖南省植被NDVI与气温、降水正负相关共存,与气温的相关性较好。从不同类型植被来看,各类型植被NDVI与气温呈正相关的面积占绝大部分,灌丛和针叶林NDVI与降水呈正相关的面积较大,而草丛、草甸和沼泽NDVI与降水呈负相关的面积较大,阔叶林和栽培植被与降水呈正负相关的面积约各占一半;(4)时滞性分析表明,植被对降水的响应存在2个月滞后,且7月NDVI与6月降水、9月NDVI与同期降水的相关性显著,但逐月NDVI与前0~3个月气温的相关性均不显著。【结论】近16年湖南省植被覆盖呈增加态势,但空间分布差异较大;不同类型植被对气候要素变化响应也各异。
英文摘要: [Objective]In this paper, the vegetation change and its response to climate change in Hunan Province of southern China was studied in order to provide a scientific guidance for ecological protection in Hunan Province. [Method] Based on the SPOT-VGT NDVI, vegetation types and meteorological data from 2000 to 2015, combined with the least squares trend analysis and correlation analysis, this paper discusses the characteristics of vegetation growth change in Hunan Province and analyzes the response of different vegetations to climate change from different time scales respectively. [Result] The results showed that:(1)in recent 16 years,vegetation NDVI in most areas of Hunan Province showed an increasing trend, but the spatial distribution was quite different. The large value of NDVI was found in the northwest and southwest of Hunan Province, while the vegetation cover in the middle and north of Hunan Province was poor. (2)From 2000 to 2015, the growth rate of NDVI in Hunan Province reached 0.004 5/ year and the brush reached 0.005 1/ year, while swamp showed the smallest increase trend, only 0.002 6/ year. (3)The positive and negative correlations between NDVI and temperature and precipitation is coexisting, and the correlation between NDVI and temperature was better. According to different types of vegetation, the area of positive correlation between NDVI and temperature was the most, the area of positive correlation between NDVI and precipitation was larger in shrub and coniferous forest, while the area of grass, meadow and swamp NDVI was negative correlated with precipitation. The area with positive or negative correlation between broadleaved forest and cultivated vegetation and precipitation was about half of each area. (4)The time lag analysis showed that the vegetation response to rainfall had two-month lag, and the correlation between July NDVI and June rainfall, September NDVI and the rainfall in the same period was significant, but the correlation between monthly NDVI and the temperature in the first 0-3 months was not significant. [Conclusion] In recent 16 years, the vegetation cover in Hunan Province has been increasing, but the spatial distribution is quite different and different vegetations have different degrees of responses to climate change.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/155489
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: 湘潭大学土木工程与力学学院, 湘潭, 湖南 411105, 中国

Recommended Citation:
刘正才,屈瑶瑶. 基于SPOT-VGT数据的湖南省植被变化及其对气候变化的响应[J]. 北京林业大学学报,2019-01-01,41(2):793-801
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[刘正才]'s Articles
[屈瑶瑶]'s Articles
百度学术
Similar articles in Baidu Scholar
[刘正才]'s Articles
[屈瑶瑶]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[刘正才]‘s Articles
[屈瑶瑶]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.