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1.
基于GIMMS/NDVI数据对诺敏河流域1982-2006年间植被覆盖的时空演变特征进行了研究,并结合SCS模型模拟地表径流,在流域和像元尺度分析植被NDVI变化与径流的关系。研究表明:诺敏河流域植被NDVI值较高,但25a间整体呈下降趋势,NDVI减少的区域占总面积的82.5%,植被覆盖有所降低;NDVI空间差异明显,NDVI的高值区主要分布在中上游林区,而耕地分布较多的下游地区NDVI值相对较低。流域尺度上植被NDVI与径流不具有明显的相关性。但从像元尺度来看,植被NDVI和径流的正相关和负相关共存,流域不同空间位置的植被变化与径流的关系并不一致。 相似文献
2.
2000-2010年祁连山植被MODIS NDVI的时空变化及影响因素 总被引:3,自引:0,他引:3
利用2000-2010年间的MODIS/NDVI数据和对应的气候资料,研究了近10年来祁连山植被的时空变化及影响因素。结果表明:1)10年来,祁连山年最大化NDVI(MNDVI)增加了2.4%,植被改善、无变化和退化的面积分别占总面积的26.32%、66.42%和7.26%。植被改善的区域分布在冷龙岭、拉脊山、大通山、达坂山、青海南山、走廊南山、托来山等山地以及西宁盆地、湟水谷地周边地区,减少的区域分布在乌鞘岭、庄浪河、古浪河、大通河、石羊河、黑河、疏勒河等河流河谷。2)祁连山不同植被类型MNDVI的年际变化趋势不同。灌丛地、荒漠草原、高寒稀疏草甸MNDVI呈快速增加趋势,高山草原、高山灌丛草甸和高寒草甸MNDVI呈增加趋势,落叶阔叶林、针阔混交林、常绿针叶林MNDVI呈快速下降趋势。3)影响祁连山植被生长的主要因子是气温和降水,局部地区密集的人类活动也能成为影响植被生长的关键因子。 相似文献
3.
在石羊河上游地区选择4个样点,采集160余根青海云杉样芯,经过固定、打磨、交叉定年和测量等工作,建立研究区的树轮宽度年表。利用美国NASA戈达德航天中心的GIMMS/NDVI数据,建立研究区1982-2006年逐月标准化植被指数(NDVI)序列。发现研究区NDVI年内变化为单峰型,5-8月为生长季,年际间变化则有波动减少的趋势。经过相关性分析后发现,树轮年表与非生长季(上一年9月到当年4月)降水呈显著正相关,非生长季[WTBX]NDVI[WTBZ]与非生长季的降水呈较明显负相关。分析NDVI与年表关系后发现,生长季[WTBX]NDVI[WTBZ]与树轮年表相关性较差,而非生长季NDVI与年表相关性较好且为负相关(r=-0.667,p<0.01)。 相似文献
4.
The plant ecosystems are particularly sensitive to climate change in arid and semi-arid regions. However, the responses of vegetation dynamics to climate change in Central Asia are still unclear. In this study, we used the normalized difference vegetation index(NDVI) data to analyze the spatial-temporal changes of vegetation and the correlation of vegetation and climatic variables over the period of 1982–2012 in Central Asia by using the empirical orthogonal function and least square methods. The results showed that the annual NDVI in Central Asia experienced a weak increasing trend overall during the study period. Specifically, the annual NDVI showed a significant increasing trend between1982 and 1994, and exhibited a decreasing trend since 1994. The regions where the annual NDVI decreased were mainly distributed in western Central Asia, which may be caused by the decreased precipitation. The NDVI exhibited a larger increasing trend in spring than in the other three seasons. In mountainous areas, the NDVI had a significant increasing trend at the annual and seasonal scales; further, the largest increasing trend of NDVI mainly appeared in the middle mountain belt(1,700–2,650 m asl). The annual NDVI was positively correlated with annual precipitation in Central Asia, and there was a weak negative correlation between annual NDVI and temperature. Moreover, a one-month time lag was found in the response of NDVI to temperature from June to September in Central Asia during 1982–2012. 相似文献
5.
《干旱区科学》2016,(2)
In recent years, climate change has been aggravated in many regions of the world. The Hexi Corridor is located in the semiarid climate zone of Northwest China, which is particularly affected by climate change. Climate change has led to the spatial and temporal variations of temperature and precipitation, which may result in hydrological drought and water shortage. Thus, it is necessary to explore and assess the drought characteristics of river systems in this area. The patterns of hydrological drought in the Hexi Corridor were identified using the streamflow drought index(SDI) and standardized precipitation index at 12-month timescale(SPI12) from 1960 to 2013. The evolution of drought was obtained by the Mann–Kendall test and wavelet transform method. The results showed that both the mean annual SDI and SPI12 series in the Hexi Corridor exhibited an increasing trend during the study period. According to the results of wavelet analysis, we divided the study period into two segments, i.e. before and after 1990. Before 1990, the occurrence of droughts showing decreased SDI and SPI12 was concentrated in the northern part of the corridor and shifted to the eastern part of the corridor after 1990. The probability of drought after 1990 in Shule River basin decreased while increased in Shiyang River basin. The wavelet analysis results showed that Shiyang River basin will be the first area to go through the next drought period. Additionally, the relationships between drought pattern and climate indices were analyzed. The enhanced westerly winds and increased precipitation and glacier runoff were the main reasons of wet trend in the Hexi Corridor. However, the uneven spatial variations of precipitation, temperature and glacier runoff led to the difference of hydrological drought variations between the Shule, Heihe and Shiyang River basins. 相似文献
6.
河西走廊3大内陆河近51年出山径流分布特征 总被引:1,自引:0,他引:1
以河西走廊疏勒河、黑河和石羊河1955~2005年时段的河流流量和气象实测数据为资料,应用多种数值诊断方法,系统分析了流域内51年间出山径流的季节及年际变化等.结果表明,走廊内出山径流的年内分配差异较大;三大河流的夏汛流量的峰值出现在同一时期,出山径流量自西向东疏勒河、黑河和石羊河分别占年总出山径流量的74.75%、75.04%和80.94%;径流的年际变化,平水年份最多,占总序列的38.56%,偏枯年大于偏丰年7.84%,说明出山径流量呈减少趋势;累积滤波器和Kendall秩次相关分析结果表明,年出山径流的变化趋势总体呈缓慢下降趋势,三大河流的年出山径流系列累积平均曲线在2005年趋于重合;Morlet分析结果预示未来径流量将处于相对偏少期. 相似文献
7.
榆林地区植被指数动态变化及其对气候和人类活动的响应 总被引:1,自引:0,他引:1
榆林地区是中国典型生态脆弱区,植被生态系统对气候变化和人类活动影响较为敏感。以榆林地区2000—2015年MODIS NDVI为基础,结合气温、降水数据,利用线性趋势法、相关系数、偏相关系数及缓冲区方法,分析了区域NDVI(归一化差异植被指数)动态变化及其对气候和人类活动的响应,结果表明:(1)榆林地区总体上NDVI较小,植被覆盖水平较低。2000—2015年NDVI以每年0.009 6的线性速率递增,空间上主要表现出线性增加趋势,占总面积的97.06%,减少趋势面积较小且主要与人类活动有关,分布在区域西南部山区、城镇附近及中、东部的河流谷地。(2)相关分析表明,榆林地区NDVI与气温以负相关为主,而与降水以正相关为主,反映出干旱、半干旱地区水分是植物生长的主导因子。(3)NDVI变化过程反映出人类活动范围中,市级行政中心缓冲区人类活动强度高于县级行政中心缓冲区。市级行政中心缓冲区范围可划分为5 km以内受人类活动剧烈影响区域、5~9km受人类活动影响递减区域和9 km以外未受人类活动影响区域。 相似文献
8.
黑河中游植被覆盖率变化趋势及其驱动因子分析 总被引:2,自引:0,他引:2
利用2002~2011年的黑河干流中游归一化值被指数数据获得植被覆盖率变化趋势,选取合适的NDVI阈值将整个区域划分为"绿洲区"和"荒漠区",并分别探讨了地下水埋深、中游耗水量及累积降水量对两种区域面积和植被覆盖率变化的影响。结果表明:黑河干流中游植被覆盖率整体呈增长趋势,由2002年的32%增长到了2011年的36%,对植被覆盖率增长贡献最大的因素为绿洲区扩张,10年间绿洲区面积占比增长了10%;影响绿洲扩张的主要因素为地下水位埋深和中游耗水量,绿洲区植被覆盖率变化较小,可忽略其影响。荒漠区植被覆盖率的变化主要受累积降水量影响。利用地下水位埋深、中游耗水量、累积降水量可预测区域植被覆盖率的变化趋势,区分人类活动和气候变化对区域植被覆盖率的影响是可行的。 相似文献
9.
Coal mining has led to serious ecological damages in arid desert region of Northwest China. However, effects of climatic factor and mining activity on vegetation dynamics and plant diversity in this region remain unknown. Wuhai City located in the arid desert region of Northwest China is an industrial city and dominated by coal mining. Based on Landsat data and field investigation in Wuhai City, we analyzed the vegetation dynamics and the relationships with climate factors, coal mining activity and ecological restoration projects from 2000 to 2019. Results showed that vegetation in Wuhai City mostly consisted of desert plants, such as Caragana microphylla, Tetraena mongolica and Achnatherum splendens. And the vegetation fractional coverage(VFC) and greenness rate of change(GRC) showed that vegetation was slightly improved during the study period. Normalized difference vegetation index(NDVI) was positively correlated with annual mean precipitation, relative humidity and annual mean temperature, indicating that these climate factors might play important roles in the improved vegetation. Vegetation coverage and plant diversity around the coal mining area were reduced by coal mining, while the implementation of ecological restoration projects improved the vegetation coverage and plant diversity. Our results suggested that vegetation in the arid desert region was mainly affected by climate factors, and the implementation of ecological restoration projects could mitigate the impacts of coal mining on vegetation and ecological environment. 相似文献
10.
近20年来河西走廊人工绿洲演变及人为因素分析 总被引:3,自引:0,他引:3
人工绿洲是人类活动的主要场所,近年来由于河西走廊无序的土地利用及水资源开发,导致绿洲功能不断退化,文中通过GIS和RS技术,详细研究了1990~2010年以来绿洲变化特征,并利用熵权法,定量分析了影响人工绿洲演变的人为因素,通过研究表明在人类活动的干预下,河西走廊的人工绿洲在近20年来不断地扩张,其中以2000~2005年变化最为剧烈;空间上,黑河与石羊河的中下游绿洲变化幅度明显高于党河和疏勒河,河西走廊人工绿洲规模的扩大主要是人类改造自然绿洲或未利用土地获得的;河西走廊现代人工绿洲的演变主要跟人类的经济活动及绿洲自身的承载力密切相关。 相似文献
11.
石羊河中下游河岸带植被对地下水位变化的响应 总被引:1,自引:0,他引:1
通过对石羊河中下游河岸带的地下水位定位观测及植被和土壤水盐含量调查发现:河岸带地下水位与河床横向间距呈正相关;在长流水河段的河岸带,以植被类型、物种丰富度和植被盖度与河床间距的关系,判断河流影响地下水位距河床的范围约为130 m,但对于河岸带植被作用距河床横向间距可达500 m。在断流河段,距古河床0~200 m区间内分布河岸植物种。虽然石羊河下游断流,但河流地貌影响地下水位,有利于植物生长。调查区域内有5个植被型,12个群系和29个群丛,河岸带发育隐域植被类型。当地下水位≤2 m时,沼泽草甸发育;当地下水位3~6 m时,以芦苇、赖草和骆驼蓬为建群种的盐化草甸发育;地下水位≤14 m时,则柽柳灌丛繁茂。石羊河的径流量丰欠影响河岸带地下水位变化,河岸带植被组成、结构和分布响应地下水位埋深。
相似文献
12.
《干旱区科学》2016,(6)
The distribution of stable isotopes and ions in precipitation in the Shule River Basin,northwestern China,were investigated to understand the regional water cycle and precipitation input to groundwater recharge.The study found that the mean annual concentrations of Ca2+,Na+,SO42–,Cl–,Mg2+,NO3–,and K+ in the basin were lower than those in other arid areas of northwestern China.The average concentrations of ions in the lower reaches of the Shule River were higher than those in the upper reaches.The results showed that the main ionic concentrations decreased with the increase of precipitation amount,indicating that heavy precipitation cannot only wash crustal aerosols out of the atmosphere,but also create a dilution effect.Cl– and Na+ in precipitation had a strong and positive correlation,suggesting a common origin for the two ions.However,the excess of Na+,combined with non-marine SO42– and NO3–,indicated that some ions were contributed by terrestrial origins.In the extremely arid regions of northwestern China,the evaporation process obviously changes the original relationship between δ2H and δ18O in precipitation,and leads to dexcess values 8‰.δ18O and temperature were significantly correlated,suggested that temperature strongly affected the characteristics of isotopes in the study area.The δ18O value indicates a dominant effect of westerly air masses and southwest monsoon in warm months,and the integrated influence of westerly and Siberian-Mongolian polar air masses in cold months.The d-excess values were generally lower in warm months than those in cold months,indicating that post-condensation processes played a significant role in the water cycle.The results provide reliable precipitation input information that can be used in future groundwater recharge calculations in the study area. 相似文献
13.
基于SPOT/NDVI华北地区植被变化动态监测与评价 总被引:4,自引:0,他引:4
利用1998-2011年SPOT NDVI数据反映华北地区植被覆盖变化情况,结合该地区土地覆盖数据以及1982-2011年84个气象站点的气温和降水数据,分别从时间和空间两个方面对其进行植被动态监测与评价,并简要分析其变化原因。结果表明:1)从时间上来看,华北地区NDVI在1998-2011年总体呈增长趋势,表明该地区植被覆盖情况整体上得到改善,其中,森林和农田NDVI增长最快;2)从空间上来看,华北地区地表植被覆盖得到改善的区域比退化区域面积要大,其中,森林和农田的恢复效果最为明显,而灌丛、草地、沙漠退化面积均超过改善面积,表明华北地区水土流失和荒漠化现象依然严峻;3)在华北地区气候长期趋于暖干化的背景下,华北植被变化与降水变化关系比与气温变化关系密切,表明植被覆盖变化受降水影响较大,此外,人类活动也是引起植被覆盖变化的重要驱动因子。 相似文献
14.
15.
Effects of climate change on phenology and primary productivity in the desert steppe of Inner Mongolia 总被引:1,自引:0,他引:1
Variations in temperature and precipitation affect local ecosystems. Considerable spatial and temporal heterogeneity exists in arid ecosystems such as desert steppes. We analyzed the spatiotemporal dynamics of climate and vegetation phenology in the desert steppe of Inner Mongolia, China, using meteorological data from 11 stations (1961–2010) and phenology data from 6 ecological stations (2004–2012). We also estimated the gross primary production for the period of 1982–2009 and found that the annual mean temperature increased at a rate of 0.47ºC/decade during 1961–2010, with the last 10 years being consistently warmer than the 50-year mean. The most significant warming occurred in winters. Annual precipitation slightly decreased during the 50-year period, with summer precipitation experiencing the highest drop in the last 10 years, and spring precipitation, a rise. Spatially, annual precipitation increased significantly in the northeast and eastern central area of the region next to the typical steppe. From 2004 to 2012, vegetation green-up and senescence date advanced in the area, shortening the growing season. Consequently, the primary productivity of the desert steppe decreased along precipitation gradient from southeast to northwest. Temporally, productivity increased during the period of 1982–1999 and significantly decreased after 2000. Overall, the last decade witnessed the most dramatic climatic changes that were likely to negatively affect the desert steppe ecosystem. The decreased primary productivity, in particular, decreases ecosystem resilience and impairs the livelihood of local farmers and herdsmen. 相似文献
16.
Grassland degradation is influenced by climate change and human activities, and has become a major obstacle for the development of arid and semi-arid areas, posing a series of environmental and socio-economic problems. An in-depth understanding of the inner relations among grassland vegetation dynamics, climate change, and human activities is therefore greatly significant for understanding the variation in regional environmental conditions and predicting future developmental trends. Based on MOD... 相似文献
17.
河西走廊地区县域农业水资源平衡问题研究 总被引:2,自引:0,他引:2
系统分析了县域单元农业水资源平衡的层次及其计算方法,并以河西走廊地区为案例,进行了实证研究。结果表明天然状态下,河西走廊地区各个县域单元降水均不能满足各种作物的水分需求,亏水为水量平衡的首要特征,且亏水量的大小由东到西呈递增的趋势,石羊河流域、黑河流域和疏勒河流域的亏水量依次为372.10mm、472.29mm和695.79mm。 相似文献
18.
基于GIMMS NDVI 3g v1. 0数据集和日值气象数据,结合极端气温指数,辅以极点对称模态分解、趋势分析、Mann-Kendall趋势检验、相关分析等方法,探讨中国北方生长季植被覆盖及极端气温的变化特征,研究植被覆盖对气温极值的响应状况。结果表明:①1982-2015年中国北方生长季NDVI以0. 002·(10a)^-1的速率上升(P <0. 05),ESMD(极点对称模态分解方法)显示生长季NDVI波动上升;针叶林、灌丛、荒漠植被、草地以及栽培植被呈增长趋势,栽培植被增速最快,针阔混交林、落叶阔叶林和高山植被呈不显著减少趋势。②空间上,NDVI显著增加区域超过全区的33%,主要分布在天山、塔里木盆地北部、祁连山、陇南山区、黄土高原、河套平原、吕梁山和太行山、大别山以及辽西丘陵地区;显著下降区域仅占12%,主要分布在大兴安岭、小兴安岭和长白山区。③极端气温指数中,除TNmean(日最低气温平均值)和TNn(日最低气温极低值)呈上升趋势外,其余冷极值指数均呈下降趋势;所有暖极值指数均呈上升趋势;其他指数中,DTR(气温日较差)呈减小趋势,GSL(生长季日数)呈增加趋势。④中国北方NDVI与极端气温指数的相关性表明,冷极值指数中NDVI与FD0(霜冻日数)、TN10p(冷夜日数)、TX10p(冷昼日数)呈显著负相关(P <0.05),与TNmean呈显著正相关(P <0.01);NDVI与所有暖极值指数呈正相关,与TR20(热夜日数)、TXmean(日最高气温平均值)、TX90p(暖昼日数)以及TN90p(暖夜日数)存在显著相关性(P <0. 05);NDVI与GSL呈显著正相关(P <0.05)。⑤天山、塔里木盆地北缘、祁连山区、河套平原、黄土高原、太行山和吕梁山区等NDVI显著增加区域对极端气温指数的响应强烈。NDVI显著增加区主要对FD0、TNmean、TN90p、GSL等指数响应较强。NDVI显著减少区域对指数的响应各异,主要与SU25(夏季日数)呈显著负相关(P <0.05)。 相似文献
19.
陇东地区植被指数NDVI与降水的关系研究 总被引:2,自引:0,他引:2
利用1982~2003年NOAA/AVHRR(advanced very high resolution rediometer)资料及同期的降水资料,对甘肃省陇东地区半干旱区环县和半湿润区西峰的植被指数NDVI与不同时间尺度的标准化降水指数SPI进行相关分析.结果表明:在植被生长季,植被对降水的敏感程度半干旱区大于半湿润区;大多数月NDVI与3-SPI的相关系数较高,而与1-SPI较低;半干旱区和半湿润区NDVI的年变化幅度分别为:-12%~10%和-10%~13%,半干旱区NDVI的年变化与SPI变化趋势吻合较好,显著相关(P<0.05),而在半湿润区二者并不显著;半干旱区的年NDVI与四季降水均显著相关(P<0.05),而半湿润区年NDVI只与冬春季的降水显著相关(P<0.05). 相似文献
20.
基于GIMMS NDVI 3g v1.0数据集和日值气象数据,结合极端气温指数,辅以极点对称模态分解、趋势分析、Mann-Kendall趋势检验、相关分析等方法,探讨中国北方生长季植被覆盖及极端气温的变化特征,研究植被覆盖对气温极值的响应状况。结果表明:① 1982—2015年中国北方生长季NDVI以0.002·(10a)-1的速率上升(P<0.05),ESMD(极点对称模态分解方法)显示生长季NDVI波动上升;针叶林、灌丛、荒漠植被、草地以及栽培植被呈增长趋势,栽培植被增速最快,针阔混交林、落叶阔叶林和高山植被呈不显著减少趋势。② 空间上,NDVI显著增加区域超过全区的33%,主要分布在天山、塔里木盆地北部、祁连山、陇南山区、黄土高原、河套平原、吕梁山和太行山、大别山以及辽西丘陵地区;显著下降区域仅占12%,主要分布在大兴安岭、小兴安岭和长白山区。③ 极端气温指数中,除TNmean(日最低气温平均值)和TNn(日最低气温极低值)呈上升趋势外,其余冷极值指数均呈下降趋势;所有暖极值指数均呈上升趋势;其他指数中,DTR(气温日较差)呈减小趋势,GSL(生长季日数)呈增加趋势。④
中国北方NDVI与极端气温指数的相关性表明,冷极值指数中NDVI与FD0(霜冻日数)、TN10p(冷夜日数)、TX10p(冷昼日数)呈显著负相关(P<0.05),与TNmean呈显著正相关(P<0.01);NDVI与所有暖极值指数呈正相关,与TR20(热夜日数)、TXmean(日最高气温平均值)、TX90p(暖昼日数)以及TN90p(暖夜日数)存在显著相关性(P<0.05);NDVI与GSL呈显著正相关(P<0.05)。⑤ 天山、塔里木盆地北缘、祁连山区、河套平原、黄土高原、太行山和吕梁山区等NDVI显著增加区域对极端气温指数的响应强烈。NDVI显著增加区主要对FD0、TNmean、TN90p、GSL等指数响应较强。NDVI显著减少区域对指数的响应各异,主要与SU25(夏季日数)呈显著负相关(P<0.05)。 相似文献