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1.
1981-2006年西北干旱区NDVI时空分布变化对水热条件的响应 总被引：5，自引：1，他引：4
气候是植被变化的重要驱动因子. 利用1981-2006年GIMMS归一化植被指数（NDVI）时间序列数据,结合68个气象站降水、气温数据和DEM地形数据等资料,研究分析了西北干旱区植被活动的年、季变化和空间差异. 结果显示：在1981-2006年的26 a,西北干旱区植被的覆盖率增加了4.5%,年平均NDVI增加了3.2%;植被的生长季延长,主要表现在生长季的推迟. 从总体来说,植被覆盖率、生长季和NDVI值在2000年以前显著增加,而在2000年以后都呈现减小的趋势;其中,减少明显的区域是在伊犁河谷、中天山及平原区,在河流上游山区或源头以及部分河流两岸呈现增加态势;在年际变化上,大部分区域的气温、降水与NDVI相关性不强. 而年平均气温在4.58 ℃以下低温区和年降水在180 mm以上的相对湿润区,气温和降水都呈现正相关;在季节变化上,NDVI值在春季和秋季与温度相关显著,而夏季与降水相关性强. 2000年以后,植被覆盖率和NDVI值开始出现降低趋势与气温持续升高、降水量增幅下降有关. 相似文献
2.
近20余年来西北地区植被变化特征分析 总被引：27，自引：0，他引：27
利用1982—2003年8 km分辨率的NDVI数据集,选中国西北地区森林、草原、灌溉农业、雨养农业区不同类型植被为研究区,分析了植被年、年际变化特征,并对植被覆盖空间变化进行动态研究.结果表明:森林、草原、灌溉农业区和以春小麦为主的雨养农业区NDVI年变化为单峰型曲线,以冬小麦为主的雨养农业区NDVI曲线呈双峰型;同一类型的植被NDVI受纬度或海拔高度的影响,绿峰出现时间存在1个月的位相差.22 a来森林植被NDVI多呈下降趋势,草原植被区为上升趋势;雨养农业区变化不大,灌溉植被区呈显著的上升趋势.西北东部雨养农业区植被波动频率和幅度最大,是受降水影响最敏感的地区;森林植被次之;有灌溉条件的绿洲植被,年际间波动最小.22 a间西北地区植被以增加趋势为主,增加面积约为20.5%,主要分布在新疆和河西走廊绿洲、黄河沿岸灌区以及青海草区,水分条件充足的绿洲是NDVI增加最显著的区域;NDVI减少地区面积为4.77%,主要分布在西北东部. 相似文献
3.
为了解森林退化的原因,利用2000-2015年的MODIS NDVI数据,在分析贵州省植被变化趋势的基础上识别了归一化植被指数（NDVI)显著下降的区域,并在NDVI显著下降区选取面积大于10 km2的森林图斑为兴趣区,分析其内气候变化趋势及对森林NDVI值的影响。研究表明:197个兴趣区主要分布在贵州省西北部的赤水—习水、东北部的梵净山和东南部的非喀斯特区域;区内春、夏季NDVI变化趋势与年NDVI值变化趋势一致,下降速率达到-0.01·yr-1,冬季与其他季节变化趋势相反,呈不显著升高趋势;区内春季和夏季气温升高显著,降水和日照时间无明显变化,整体气候变化呈暖干趋势;夏季温度升高是NDVI降低的主要驱动因素。 相似文献
4.
Assessing vegetation dynamics and their relationships with climatic variability in Heilongjiang province, northeast China 总被引：2，自引：1，他引：1
Wenbin Liu Tijiu Cai Cunyong Ju Guobin Fu Yuefeng Yao Xueqing Cui 《Environmental Earth Sciences》2011,64(8):2013-2024
In this study, the vegetation dynamics in Heilongjiang province and their relationships with climate variability were assessed
using normalized difference vegetation index (NDVI) and meteorological datasets from 1981 to 2003. The conclusions from our
results are as follows: (1) After 1981, vegetation cover, as indicated by the NDVI, exhibited an insignificant increasing
tendency. However, the inter-annual variations of the NDVI showed apparent spatial differentiations. (2) The inter-annual
changes of the NDVI were different from season to season. The spring and autumn NDVI values increased, while the summer and
winter NDVI decreased. (3) The annual NDVI was significantly correlated with precipitation. Thus, as compared to temperature,
precipitation was the dominant climatic factor affecting the vegetation dynamics in Heilongjiang province. (4) The trend in
the NDVI showed a marked homogeneity corresponding to regional and seasonal variations in climate. Additionally, land use
changes also play an important role in influencing the NDVI trends over some regions. All of these findings will enrich our
knowledge of the natural forces that impact the stability of boreal ecosystems and provide a scientific basis for the environmental
management in Heilongjiang province in response to climate change and human activities. 相似文献
5.
为了了解气温、降水量和人类活动对流域植被NDVI(normalized difference vegetation index)的影响，以长江流域为研究区，运用一元线性回归分析法和Theil-Sen Median趋势分析法研究了长江流域气温、降水量和植被NDVI变化特征，同时利用相关分析法和残差分析法探讨气温、降水量和人类活动对植被NDVI变化的影响.结果表明:1960—2015年长江流域年平均温度显著上升，而降水量的变化趋势并不显著；1982—2015年流域NDVI呈显著增加趋势；1982—2015年流域NDVI与气温的相关性较高，然而与降水量的相关性并不显著；人类活动使流域NDVI增加的区域主要分布于流域北部、东南和西南部分地区，而使NDVI下降的区域位于流域中西部区域和长三角地区.气温对长江流域植被NDVI变化的影响大于降水，气候变暖和人类活动对流域生态环境具有一定程度的影响. 相似文献
6.
7.
格尔木河流域植被指数时空分布及其影响因素研究 总被引：2，自引：0，他引：2
格尔木河流域气候干旱少雨,生态环境较脆弱,植被动态对其生态环境保护具有重要意义。基于连续序列的MODIS NDVI数据,分析了格尔木河流域植被指数时空分布及其影响因素。结果表明:研究区NDVI平均值总体较小,主要在0.10～0.12间波动,但呈增大趋势。区内植被改善区分布在格尔木市东、西两侧,基本不变区为荒漠地区,植被退化区分布在北部盐湖区。区内裸土的面积逐渐减小,低覆盖率和高覆盖率植被的面积逐渐增加。研究区植被生长与气象、土壤水分和地下水位埋深都有关系。气温与植被指数相关关系较好,相关系数为0.822,而降水对植被的生长也有一定的作用。植被指数与表观热惯量是正相关关系,相关系数为0.979。区内植被的地下水位埋深范围为0～12 m,在水位埋深约为6.5 m的地方,植被长势最好。 相似文献
8.
Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data 总被引：1，自引：1，他引：0
Hanchen Duan Changzhen Yan Atsushi Tsunekawa Xiang Song Sen Li Jiali Xie 《Environmental Earth Sciences》2011,64(4):1011-1020
The Three-North Shelter Forest Programme (TNSFP) covers 551 Chinese counties and an area of 4,069,000 km2 mostly in arid and semi-arid regions. In this paper, we discuss the temporal and spatial changes in value of the normalized-difference
vegetation index (NDVI) in this region, and the relationships between NDVI and climatic factors (temperature and precipitation)
based on NOAA Advanced Very High Resolution Radiometer Global Inventory Modeling and Mapping Studies NDVI data with 8-km resolution
from 1982 to 2006. During the past 25 years, the vegetation cover has generally increased in eastern regions of China and
the oasis in the north piedmont of Tianshan Mountains, but has decreased northwest of Xinjiang and in the Hulunbeier Plateau.
The multi-year monthly average NDVI distribution map showed that NDVI increased from April to August, but in the western and
northern plateau areas, the lower temperatures and high altitude created a shorter growing season (1 or 2 months). The vegetation
of the study area has generally increased in the regions covered by the TNSFP. Linear regression analysis of the vegetation
cover showed an increasing trend over large areas. The largest annual growth rate per pixel (the slope of the regression)
was 0.009; the largest negative annual change was −0.004. The correlation between NDVI and precipitation was higher than that
between NDVI and temperature, suggesting that precipitation is the most important factor that affects NDVI changes in the
study area, especially for temperate desert vegetation in northwestern China. 相似文献
9.
基于遥感和地理信息系统技术,利用NOAA-AVHRR数据对我国最近18年(1982～1999)来的植被覆盖的动态变化进行了分析.结果表明:我国植被覆盖的动态变化受气候波动的影响十分显著,并且这种变化的区域性差异明显.18年来,NDVI减小的地区主要分布在西北地区和青藏高原,而NDVI增加的地区主要发生在东部地区;20世纪80年代和90年代的NDVI变化趋势之间存在较大差异;90年代NDVI减小的区域明显地比80年代增加,特别是西北干旱地区NDVI的下降趋势明显.我国珠江三角洲和长江三角洲地区是18年来植被覆盖下降趋势最明显的地区,表明快速城市化的影响. 相似文献
10.
青藏高原高寒草地植被指数变化与地表温度的相互关系 总被引：3，自引：1，他引：2
为了解脆弱的高原生态环境对升温过程的响应, 利用1982-2006年国家标准地面气象站地表温度和GIMMS-NDVI数据集, 探讨了青藏高原高寒草地植被指数和地表温度的变化特征及其相互关系. 结果表明:1982-2006年, 高寒草地NDVI、地表温度整体均呈现增加趋势, 年均NDVI、生长季NDVI、年最大NDVI(NDVImax)与年均地表温度、生长季地表温度的上升趋势分别为0.007 (10a)-1、0.011 (10a)-1、0.007 (10a)-1与0.60 ℃·(10a)-1、0.43 ℃·(10a)-1; NDVImax与地表温度显著相关的地区达70.49%. 但是高原地形、气候、水文环境的空间差异性导致高寒草地NDVI与地表温度的相关关系十分复杂. NDVImax与年均地表温度的相关性最为显著; 在返青期和枯萎期, NDVI与地表温度均为显著正相关. 不同的植被覆盖条件下, NDVI对地表温度的响应不同:植被覆盖差以及退化严重的地区, NDVImax与地表温度呈负相关性; 反之, NDVImax与地表温度主要表现为正相关. 相似文献
11.
Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India 总被引：3，自引：1，他引：2
Drought is a serious climatic condition that affects nearly all climatic zones worldwide, with semi-arid regions being especially
susceptible to drought conditions because of their low annual precipitation and sensitivity to climate changes. Drought indices
such as the standardized precipitation index (SPI) using meteorological data and vegetation indices from satellite data were
developed for quantifying drought conditions. Remote sensing of semi-arid vegetation can provide vegetation indices which
can be used to link drought conditions when correlated with various meteorological data based drought indices. The present
study was carried out for drought monitoring for three districts namely Bhilwara, Kota and Udaipur of Rajasthan state in India
using SPI, normalized difference vegetation index (NDVI), water supply vegetation index (WSVI) and vegetation condition index
(VCI) derived from the Advanced Very High resolution Radiometer (AVHRR). The SPI was computed at different time scales of
1, 2, 3, 6, 9 and 12 months using monthly rainfall data. The NDVI and WSVI were correlated to the SPI and it was observed
that for the three stations, the correlation coefficient was high for different time scales. Bhilwara district having the
best correlation for the 9-month time scale shows late response while Kota district having the best correlation for 1-month
shows fast response. On the basis of the SPI analysis, it was found that the area was worst affected by drought in the year
2002. This was validated on the basis of NDVI, WSVI and VCI. The study clearly shows that integrated analysis of ground measured
data and satellite data has a great potential in drought monitoring. 相似文献
12.
13.
基于GIMMS NDVI3g（the third generation of Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index）数据,结合趋势分析、Mann-Kendall检验和Pearson相关分析等方法,识别了渭河流域19822015年不同时间尺度（年、月及季节）植被NDVI的动态变化特征及气候因素影响。结果表明,近34年渭河流域NDVI呈现增长趋势,且20002015年NDVI较19821999年显著增长,趋势线斜率分别为0.003和0.001,退耕还林后植被覆盖状况明显改善;年均NDVI与气温呈显著正相关,与降水的正相关性较弱;月均NDVI与气温和降水都表现为显著正相关,相关系数分别为0.926,0.743;春秋季NDVI与气温呈现显著正相关,夏季NDVI与气温、降水的相关性不明显,冬季NDVI与前期气温存在滞后相关。 相似文献
14.
The Tarim River lies in the inland area of Northwest China, which has a semiarid or arid climate. Because of relatively scarce precipitation in this area, the main water resource is runoff from a mountainous drainage basin. It is very important to ascertain variations of regular hydrologic and meteorological time series data. Through the use of monthly precipitation and hydrologic data in the three headstream mountain areas of the Tarim River over the past 50 years, this work analyzes the variation of a drought–flood index and annual runoff volume, along with spatio-temporal structures of the index related to runoff at multiple time scales, via non-parametric testing and a wavelet transform method. Wavelet transform can clearly demonstrate many characteristics of the time series, including trend, shift, and major periods. Based on the analysis, the following conclusions can be drawn: (1) the drought–flood indices showed increasing trends for the Aksu and Yarkand rivers, and rose non-significantly for Hotan River. The indices of the three headstreams changed remarkably (p < 0.05) in 1986. The curves of wavelet variance show that significant periods of the indices are 4 and 8 years for Aksu and Hotan rivers, and 8 and 10 years for Yarkand River; (2) runoff of the Aksu and Hotan rivers had significant periods of 6 and 8 years, plus 3 and 9 years for Hotan River; (3) there was significant correlation between the drought–flood indices and annual runoff volume in the three headstreams. The results provide important information toward achieving predictability of flood and drought in Northwest China. 相似文献
15.
为揭示喀斯特石漠化治理示范区植被覆盖变化以及气候因子对植被覆盖变化的影响,利用2006—2015年Landsat 30 m/16 d分辨率影像数据,采用最大合成法、NDVI差值指数和相关、偏相关分析法,系统分析示范区归一化植被指数的时空变化特征及其与气候因子的关系。结果表明:(1)2006—2015年最大NDVI平均值为0.39,NDVI较高覆盖区域在示范区南北边界,而较低覆区域以花江南岸为主;(2)2006年以来示范区极低(-1.210)、低(-0.669)和中等(-0.729)植被覆盖度呈减少趋势,高(1.359)和极高(1.247)植被覆盖度增加,整体上呈显著增加趋势;(3)本月NDVI与本月、上月、上上月降雨量和气温的相关性均通过显著水平0.05检验,且本月NDVI与本月降雨量相关性高于本月气温(RNDVI降雨 =0.782),本月NDVI与上月气温相关性高于上月降雨量(RNDVI气温 =0.771);(4)在月尺度上,示范区植被生长对降雨量无滞后期,而对气温存在1个月的滞后期。 相似文献
16.
Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series 总被引：6，自引：0，他引：6
The relationship between climate change and vegetation dynamics in the southwestern karst region of China has been identified
by recent studies. Based on previous researches and AVHRR (Advanced Very High Resolution Radiometer) GIMMS (Global Inventory
Monitoring and Modeling Studies) NDVI (Normalized Difference Vegetation Index) (1982–2003) and AVHRR GloPEM (Global Production
Efficiency Model) NPP (Net Primary Production) (1981–2000) datasets, vegetation dynamics impacted by climate change in the
southwestern karst region of China were assessed. The results show that: (1) since the early 1980s, both vegetation cover
density and net primary production have insignificant ascending tendencies. However, the inter-annual variation rates of vegetation
indexes have apparent spatial differentiations; (2) the correlation coefficients between the inter-annual variations of vegetation
indexes and the inter-annual variations of climate factors vary geographically; (3) as indicated by NDVI and NPP, various
vegetation types have different responses to climate change, and the annual mean temperature variation has more significant
impact on vegetation dynamics than the annual precipitation variation in the study area; (4) distribution laws of correlation
coefficients between the inter-annual variations of vegetation indexes and the inter-annual variations of climate factors
in different climate conditions are apparent. All these findings will enrich our knowledge of the natural forces which impact
the stability of the karst ecosystems and provide scientific basis for the management of the karst ecosystems. 相似文献
17.
《China Geology》2021,4(3):527-535
At present, investigation about the relationship between the change of groundwater level and vegetation mostly focuses on specific watersheds, i.e. limited in river catchment scale. Understanding the change of groundwater level on vegetation in the basin or large scale, be urgently needed. To fill this gap, two typical arid areas in the west of China (Tarim Basin and Qaidam Basin) were chosen the a typical research area. The vegetation status was evaluated via normalization difference vegetation index (NDVI) from 2000 to 2016, sourced from MODN1F dataset. The data used to reflect climate change were download from CMDSC (http://data.cma.cn). Groundwater level data was collected from monitor wells. Then, the relationship of vegetation and climate change was established with univariate linear regression and correlation analysis approach. Results show that: Generally, NDVI value in the study area decreased before 2004 then increased in the research period. Severe degradation was observed in the center of the basin. The area with an NDVI value > 0.5 decreased from 12% to 6% between 2000 and 2004. From 2004 to 2014, the vegetation in the study area was gradually restored. The whole coverage of Qaidam Basin was low. And the NDVI around East Taigener salt-lake degraded significantly, from 0.596 to 0.005, 2014 and 2016, respectively. The fluctuation of groundwater level is the main reason for the change of surface vegetation coverage during the vegetation degradation in the basin. However, the average annual precipitation in the study area is low, which is not enough to have a significant impact on vegetation growth. The annual average precipitation showed an increase trend during the vegetation restoration in the basin, which alleviates the water shortage of vegetation growth in the region. Meanwhile, the dependence of surface vegetation on groundwater is obviously weakened with the correlation index is –0.248. The research results are of some significance to eco-environment protection in the arid area of western China.© 2021 China Geology Editorial Office. 相似文献
18.
利用广东省74个气象站点1962-2007年的月降水与气温数据,计算多时间尺度的标准化蒸散发指数,采用旋转经验正交函数(REOF)、Mann-Kendall趋势检验和小波分析等方法分析广东近50年来的干湿时空变化特征。研究结果表明:① 广东20世纪70年代以来干旱发生事件随时间持续增多,空间范围扩展;② 根据REOF时空分解的前6个空间模态,可以将广东划分成6个干湿特征区域,分别位于珠江三角洲、韩江流域及东江流域上游、西江流域及北江中下游流域、粤东沿海区域、北江上游区域和粤西沿海区域;③ 广东干湿发展具有明显的东西部差异性,其中西江流域和北江中下游流域、雷州半岛为主的粤西沿海流域存在着显著的干旱趋势;④ 6个分区干湿变化普遍具有2~8年的振荡周期,但最强振荡周期有所差别。 相似文献
19.
植被覆盖度的变化特征是流域生态监测的重要内容,能为流域综合管理决策提供基础信息。黑河流域是中国西北干旱-半干旱地区第二大的内陆河流域。为研究我国西北干旱-半干旱地区的生态状况,以黑河流域为研究区,根据1990—2019年Landsat NDVI数据,综合应用像元二分模型和一元线性回归方法,分析黑河流域植被覆盖度的动态变化并探讨气温对其影响。结果表明: 黑河流域植被覆盖度呈现由南向北递减的空间分布特征; 近30 a来,植被覆盖面积总体呈上升趋势,中高植被覆盖度增长速度最快; 流域大部分地区植被覆盖度保持不变,植被覆盖度增加的区域多于退化区域; 受全球变暖影响,整个流域气温呈升高趋势,中游气温上升最快,上游最慢,流域上游和中游气温的升高对植被覆盖度起到促进作用,下游气温的升高则抑制了植被生长。 相似文献
20.
NDVI dynamic changes and their relationship with meteorological factors and soil moisture 总被引：1，自引：0，他引：1
Hongxue Zhang Jianxia Chang Lianpeng Zhang Yimin Wang Yunyun Li Xiaoyu Wang 《Environmental Earth Sciences》2018,77(16):582
Normalized difference vegetation index (NDVI) is an important indicator for measuring vegetation coverage, which is of great significance for evaluating vegetation dynamics and vegetation restoration. It can clearly analyze the suitable growth condition of vegetation by studying the relationship between meteorological factors, soil moisture and NDVI. Based on MODIS/NDVI data, the spatio-temporal characteristics of vegetation coverage in the Weihe River Basin (WRB) were analyzed by the trend analysis method. The relationship of NDVI with meteorological factors and NDVI with soil moisture simulated by the soil and water assessment tool (SWAT) model was analyzed in this paper. The results show that NDVI values gradually change with an increase from north to south in the WRB. The maximum of the average monthly NDVI is 0.702 (August) and the minimum is 0.288 in February from 2000 to 2015. The results of the seven grades of NDVI trend line slope indicate that the improvement area of vegetation coverage accounts for 30.93% of the total basin, and the degradation area and basically unchanged area account for 23% and 42.9%, respectively. The annual mean soil moisture is 19.37% in the WRB. There was a strong correlation between NDVI and precipitation, temperature, evaporation and soil moisture, and the correlation coefficients were 0.78, 0.89, 0.71 and 0.65, respectively. The ranges of the most suitable growth conditions for vegetation are 80–145 mm (precipitation), 13–23 °C (temperature), 94–144 mm (evaporation) and 25–33% (soil moisture), respectively. 相似文献