共查询到18条相似文献，搜索用时 203 毫秒
1.
利用9个国家气象站数据和1998～2019年SPOT/VEGETATION NDVI数据，运用趋势分析、偏相关分析和复相关分析方法，研究大凌河流域22年来NDVI时空演变规律及其与气温和降水之间的关系。研究发现：(1)研究区22年来植被覆盖整体变好，90.8%的区域NDVI呈增加趋势，不同季节变化趋势各异，夏季NDVI增长率最高，春季最低。(2)大凌河上游地区NDVI总体呈缓慢稳定增长状态，中下游地区增长与减退并存；(3)研究区NDVI总体与气温呈负相关、与降水量呈正相关，且NDVI与年降水量关系更密切。(4)研究区植被覆盖降水驱动型占总面积的4.33%，气温驱动型占比为0.03%，降水、气温共同驱动型占比为2.73%。 相似文献
2.
气候因子影响天山北坡植被指数时空分布研究 总被引：7，自引：0，他引：7
利用2000—2004年逐月的MODIS归一化植被指数(NDVI)数字影像，计算了天山北坡NDVI动态变化与气温、降水变化的相关关系。在此基础上，分析了NDVI变化的区域分布规律，探讨气温、降水对NDVI动态变化的驱动作用，研究了NDVI变化的气候因子驱动的区域分布规律，并据此对天山北坡植被NDVI变化的气候因子驱动进行了分区。结果表明，研究区的植被状况主要受气温和降水的复合影响，气温主导影响区域主要分布在天山中高覆盖度林区和绿洲农区过渡带以及NDVI≤0.25的荒漠区区域内。 相似文献
3.
川西北江河源区位于四川西北部,其境内的草地有着十分高的生态服务和社会服务价值。以其作为研究区域,利用2001年-2010年MODIS植被指数数据,通过GIS的空间分析和地统计分析功能,得到10年内江河源区植被覆盖度。同时,使用四川省高寒草甸草地生物量模型在MODIS植被指数的基础上反演了2001年-2010年川西北江河源区草地生物量。综合草地植被覆盖度和草地生物量指标,建立了川西北草地退化状况分级评价体系。结合研究区DEM数据对草地退化状况的空间分布进行了分析,结果表明:(1)草地退化率与海拔高度呈反比关系,海拔越高,退化率越低,反之,退化率越高;(2)草地退化率随着坡度的增大呈缓慢升高状态,在32.28°退化率达到最大,之后退化率开始出现降低趋势;(3)草地在各坡向上的分布面积虽有高有低,但退化率变化不大。 相似文献
4.
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
5.
青海湖布哈河流域树轮宽度指数与NDVI植被指数的关系 总被引：4，自引：2，他引：2
利用来自青海湖流域乌兰和天峻的树轮指数和1982-2003年逐月标准化植被指数(NDVI)数据及气候数据, 在分析树轮指数及草地NDVI与气候因子关系的基础上, 探讨了树轮宽度指数序列与青海湖布哈河流域草地NDVI之间的关系.结果表明: 树轮宽度指数及草地NDVI主要受6-8月份的水热条件的影响, 温度与同期树轮宽度指数及草地NDVI具有较高的正相关, 而降水的影响存在滞后性.树木年轮指数序列与6-8月草地NDVI有显著的相关关系, 与8月份的NDVI相关性最强.树轮指数与草地NDVI间的显著相关性为研究该地区草地过去的动态变化提供了基础, 利用乌兰和天峻的两条树轮指数重建了8月份NDVI的千年变化. 相似文献
6.
基于2001—2015年MOD10A1/MYD10A1、MOD13Q1以及相关气象数据,采用积雪持续时间比率法,监测了天山山区的季节雪线高程,分析了其变化特征及影响因子。结果表明:①近15年天山山区雪线整体呈显著上升趋势,平均高程3 680 m左右,其中,北坡、伊犁河谷、南坡季节雪线的稳定性依次减弱,平均高程分别为3 620 m、3 390 m及3 820 m;空间上雪线高程呈现南高北低、东高西低的纬度地带性分布特点。②年际尺度上,气温是影响天山山区雪线高程的主控因素,呈显著正相关,南北坡与之相同,但伊犁河谷则降水是影响其变化的主控因素,呈显著负相关;季节尺度上,夏季气温、冬季降水是影响雪线高程的主控因素,降水与其呈负相关,但气温较高的地区,夏秋季降水会促进积雪融化,使雪线高程上升;月尺度上,7月气温、1月降水对其影响最明显,且存在一定的滞后反应。③天山山区雪线高程比零度层低800 m左右,两者呈较好正相关;雪线高程与NDVI（Normalized Difference Vegetation Index）呈负相关,植被覆盖较好区域,同年NDVI与雪线高程相关性较好,植被覆盖较差区域,前一年NDVI与其相关性较好。 相似文献
7.
《物探化探计算技术》2017,(2)
利用2001年-2010年期间四川省MODIS NDVI月合成数据集,结合同期的气象数据,研究不同高程下的NDVI变化,以及气温和降水对其的影响。成果表明:NDVI增长区域在低海拔和高海拔区均有分布,NDVI降低区域则主要分布在低海拔区;低海拔区与高海拔区NDVI年内最低值出现时间不同,且低海拔区相对高海拔区NDVI的年内变化更为曲折;降水和气温对不同高程的植被NDVI影响不同,同时降水对植被变化的影响较气温存在更为明显的滞后性。 相似文献
8.
西辽河平原位于我国北方农牧交错带,属半干旱气候,发育科尔沁沙地,生态环境极其脆弱,开展植被指数时空变化及其影响因素研究,对于预测土地退化风险意义重大,可为该流域生态环境保护治理及水资源合理开发利用提供技术支撑。利用2000—2019年MODIS NDVI数据,采用一元线性回归趋势法和Mann-Kendall检验分析了近20年来该地区的植被生长变化趋势及突变情况。从影响植被生长的水热条件出发,分析了NDVI值与气象因素（降水、气温）、土壤湿度、地下水埋深等因子的相关关系;结合人类活动,分析了土地利用类型变化对NDVI值的影响。结果表明:（1）2000—2019年生长季NDVI值整体呈上升趋势,不存在显著突变点,最高值0.56,最低值0.41。（2）NDVI值在空间上呈现“东高西低”的分布特征,不同用地类型的NDVI值由大到小依次为耕地>林地>沼泽地>滩地>草地>盐碱地>沙地。（3）92.5%的区域植被呈增长趋势,7.5%的区域植被呈减少趋势。（4）NDVI值与降水、气温、土壤湿度呈正相关关系,相关系数分别为0.86,0.78,0.81,降水对植被影响最大。（5）最适宜天然植被生长的地下水埋深约为3 m,当地下水埋深大于10 m时,NDVI值会随着埋深的增加剧烈减小。（6）人类活动如土地开垦、植树造林是近20年来NDVI值呈增加趋势的主要原因之一,在一定程度上改善了当地生态环境。 相似文献
9.
人类活动与气候变化对科尔沁沙质草地植被的影响 总被引：2，自引：0，他引：2
1992—2006年在科尔沁沙地开展了草地放牧和封育试验,分析研究了人类放牧活动和气候变化对草地植被的影响。研究结果表明：①人类放牧活动对沙质草地植被具有显著影响,其中轻度放牧可使原退化草地植被盖度、高度、物种丰富度和多样性明显提高,中度放牧下虽然草地植被盖度和高度有所下降,但对物种丰富度和多样性无不良影响,持续过度放牧可以导致草地植被迅速破坏;②围栏封育可以促进退化草地植被盖度、高度、物种丰富度和植物多样性得到较快恢复,其恢复速度是草层高度＞植被盖度＞物种丰富度＞多样性;③暖湿气候有利于草地维持较高的植被盖度、高度、物种丰富度和多样性,而持续干旱会导致相应指标的明显下降,多雨时期气温变化对植被的影响较大,干旱时期降水变化对植被的作用较强。 相似文献
10.
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
11.
Changes in aboveground net primary productivity (ANPP) in alpine grasslands are the consequence of climate change and human activities, but it is difficult to disentangle their relative contributions. Based on monthly remote-sensed vegetation index and meteorological data during the period 1982–2010, we analysed the long-term variation of annual ANPP in the source region of the Yellow River and quantified the effects of climate and human activities including grazing on ANPP variability, using the Carnegie–Ames–Stanford Approach (CASA) model and the ANPP-based residual trend analysis method. Our results suggested that ANPP increased in 80% of alpine grasslands. Areas with negative changes in ANPP were found mainly in the eastern portion of the region, accounting for 0.3% of alpine grasslands. ANPP was positively correlated with the monthly mean temperature from June to September and the sunshine duration in September at a regional scale. Moreover, ANPP was negatively correlated with the total livestock numbers. Using the residual trend analysis method, we demonstrated that climate and human activities accounted for 76.6 and 23.4%, respectively, of the variability in ANPP for the entire study region in 1982–2010. We concluded that climate change alleviated climatic constraints, in particular temperature limitations and sunshine duration, resulting in a significant increase in ANPP. Overgrazing was supposed to be the primary driver for grassland degradation in the eastern region. Our study has implications for grassland management and its sustainability to minimize the risk of grassland degradation and desertification processes in geo-ecologically and socially important regions such as the study region in China. 相似文献
12.
Iraq, the land of two rivers, has a history that extends back millennia and is the subject of much archaeological research. However, little environmental research has been carried out, and as such relatively little is known about the interaction between Iraq’s vegetation and climate. This research serves to fill this knowledge gap by investigating the relationship between the Normalized Difference Vegetation Index (NDVI) and two climatic factors (precipitation and air temperature) over the last decade. The precipitation and air temperature datasets are from the Water and Global Change Forcing Data ERA-Interim (WFDEI), and the NDVI dataset was extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) at 250 m spatial resolution and 16 day temporal resolution. Three different climatic regions in Iraq, Sulaymaniyah, Wasit, and Basrah, were selected for the period of 2001–2015. This is the first study to compare these regions in Iraq, and one of only a few investigating vegetation’s relationship with multiple climatic factors, including precipitation and air temperature, particularly in a semi-arid region. The interannual, intra-annual and seasonal variability for each region is analysed to compare the different responses of vegetation growth to climatic factors. Correlations between NDVI and climatic factors are also included. Plotting annual cycles of NDVI and precipitation reveals a coherent onset, fluctuation (peak and decline), with a time lag of 4 months for Sulaymaniyah and Wasit (while for the Basrah region, high temperatures and a short rainy season was observed). The correlation coefficients between NDVI and precipitation are relatively high, especially in Sulaymaniyah, and the largest positive correlation was (0.8635) with a time lag of 4 months. The phenological transition points range between 3 and 4 month time lag; this corresponds to the duration of maturity of the vegetation. However, when correlated with air temperature, NDVI experiences an inverse relationship, although not as strong as that of NDVI and precipitation; the highest negative correlation was observed in Wasit with a time lag of 2 months (? 0.7562). The results showed that there is a similarity between temporal patterns of NDVI and precipitation. This similarity is stronger than that of NDVI and air temperature, so it can be concluded that NDVI is a sensitive indicator of the inter-annual variability of precipitation and that precipitation constitutes the primary factor in germination while the air temperature acts with a lesser effect. 相似文献
13.
1982～2015年渭河流域植被变化特征及气候因素影响 总被引：1，自引：0，他引：1
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.
Spatial and temporal variations in alpine vegetation cover have been analyzed between 1982 and 2001 in the source regions of the Yangtze and Yellow Rivers on the Tibetan Plateau. The analysis was done using a calibrated-NDVI (Normalized Difference Vegetative Index) temporal series from NOAA-AVHRR images. The spatial and temporal resolutions of images are 8 km and 10 days, respectively. In general, there was no significant trend in alpine vegetation over this time period, although it continued to degrade severely in certain local areas around Zhaling and Eling Lakes, in areas north of these lakes, along the northern foot of Bayankala Mountain in the headwaters of the Yellow River, in small areas in the Geladandong region, in a few places between TuoTuohe and WuDaoliang, and in the QuMalai and Zhiduo belts in the headwaters of the Yangtze River. Degradation behaves as vegetation coverage reduced, soil was uncovered in local areas, and over-ground biomass decreased in grassland. The extent of degradation ranges from 0 to 20%. Areas of 3×3 pixels centered on Wudaoliang, TuoTuohe, QuMalai, MaDuo, and DaRi meteorological stations were selected for statistical analysis. The authors obtained simple correlations between air temperature, precipitation, ground temperature and NDVI in these areas and constructed multivariate statistical models, including and excluding the effect of ground temperature. The results show that vegetation cover is sensitive to variations in temperature, and especially in the ground temperature at depths of ∼40 cm. Permafrost is distributed widely in the study area. The resulting freezing and thawing are related to ground temperature change, and also affect the soil moisture content. Thus, degradation of permafrost directly influences alpine vegetation growth in the study area. 相似文献
15.
For the last three decades, Northern China has been considered as one of the most sensitive areas regarding global environmental change. The integration of AVHRR GIMMS and MODIS NDVI data (1982–2011), of which for the overlapping period of 2000–2006 show good consistency, were used for characterizing land condition variability. The trends of standardized annually ΣNDVI, temperature, precipitation and PDSI were obtained using a linear regression model. The results showed that Northern China has a general increase in greenness for the period 1982–2011 (a = 0.05). Also, annually ΣNDVI is significantly correlated with temperature and precipitation data at the regional scale (p < 0.05), implying that temperature and precipitation are the dominant limiting factors for vegetation growth. Since the greening is not uniform, factors other than temperature and precipitation may contribute to greening in some areas, while the grassland and cropland ecosystem are becoming increasingly vulnerable to drought. The results of trend analysis indicate that greenness seems to be evident in most of the study areas. 相似文献
16.
The Hanjiang River Basin is the source area of the Middle Route Project of the South-to-North Water Diversion Project, and the vegetation coverage in this basin directly affects the quality of the ecological environment. This study is based on long time series of Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data synthesized over 16 days from 2000 to 2016 in the Hanjiang River Basin. Major climatic data (temperature and rainfall) and topographic data (elevation, slope, and aspect) are employed to analyze the driving forces of NDVI changes. The results demonstrate the following: for the 2000–2016 period, the average annual NDVI is 0.823, with a change trend of 0.025 year?1. The overall NDVI upstream is higher than that downstream. The average annual value of NDVI upstream is 0.844, with a change trend of 0.036 year?1, and that of downstream is 0.799, with a change trend of 0.022 year?1. The spatial distribution of NDVI was significantly increased in the area around the upstream section of the river and near the Danjiangkou Reservoir, and the distribution of NDVI around the central city was significantly reduced. The NDVI was positively correlated with temperature and rainfall, and the impacts differed among different regions. At elevations below 2000 m, the NDVI shows an increasing trend with increasing elevation, and at elevations exceeding 2000 m, the NDVI is negatively correlated with elevation. Slope is positively correlated with the NDVI. The influence of aspect on the NDVI was small. 相似文献
17.
基于GIMMS NDVI的青藏高原植被指数时空变化及其气温降水响应 总被引：7，自引：1，他引：6
青藏高原植被生态系统脆弱, 是研究全球气候变化陆地植被生态系统响应的理想场所。以GIMMS NDVI、 气温和降水及植被类型数据为基础, 利用一元线性回归模型、 相关系数、 偏相关系数及t检验方法, 分析了青藏高原1982 - 2015年NDVI时空变化及其气温降水响应特征, 结果表明： 1982 - 2015年青藏高原NDVI时间变化过程总体表现为不显著的增加过程, 空间变化以显著增加为主, 占总面积的63.26%, 分布在高原北部、 西部和南部; 显著减少集中分布在高原中东部和东南部, 仅占总面积的3.45%。青藏高原主要植被类型NDVI平均值表现为： 阔叶林>针叶林>灌丛>草甸>高山植被>草原>荒漠, 其中草原、 高山植被和荒漠植被NDVI呈显著线性增加过程, 灌丛、 针叶林和阔叶林植被的NDVI呈不显著的减少过程。青藏高原NDVI与气温相关系数空间上呈南北向分布, 具有纬度地带性特征, 显著正相关分布在高原中北部, 显著负相关分布在高原中南部; NDVI与降水的相关系数呈东西向分布, 具有干湿度地带性特征, 显著正相关分布在高原中部, 显著负相关分布在高原东西两侧。研究认为1982 - 2015年青藏高原北部水热条件缺乏区域NDVI出现显著增加趋势, 而高原东南部水热条件充足地区NDVI呈现出显著减少趋势。深入开展植被类型NDVI气候响应的差异性研究, 有助于深入理解全球气候变化影响的区域差异及科学制定植被生态保护政策。 相似文献
18.
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