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1.
采用2004年到2008年牧草生长季(2004-2007年4-10月,2008年的仅到8月)的卫星遥感数据,统计出巴里坤县不同草地类型对产草量的贡献.结果表明:低平草甸、高寒草原、温性草原化荒漠、温性草原、温性荒漠草原等5种不同草地类型对巴里坤地区产草量贡献分别为:7.46%、11.05%、19.17%、21.09%、41.23%.这对农牧业生产和农业区域规划有着一定的指导意义.  相似文献   

2.
采用2004年到2008年牧草生长季(2004—2007年4—10月,2008年的仅到8月)的卫星遥感数据,统计出巴里坤县不同草地类型对产草量的贡献。结果表明:低平草甸、高寒草原、温性草原化荒漠、温性草原、温性荒漠草原等5种不同草地类型对巴里坤地区产草量贡献分别为:7.46%、11.05%、19.17%、21.09%、41.23%。这对农牧业生产和农业区域规划有着一定的指导意义。  相似文献   

3.
基于NDVI的西藏不同草地类型生物量回归建模分析   总被引:1,自引:0,他引:1  
旨在建立西藏地区不同草地类型的NDVI遥感估测模型,利用多元线性回归建立了不同草地类型的鲜草生物量与SPOT/VEGETATION多年平均年最大归一化植被指数(NDVI)、年降水量和年积温等变量的回归估测模型。并分析了所有草地类型的平均鲜草生物量与平均年最大NDVI、平均年降水量等因子的相关关系。结果表明:年降水量是鲜草长势最重要的影响因子,基于NDVI的鲜草生物量多元线性回归模型能很好的拟合草地(R=0.964)、高寒草甸(R=0.959)、高寒荒漠草原(R=0.772)、温性草原(R=0.892)和高寒草原(R=0.797)等草地类型。   相似文献   

4.
西藏藏北高原典型植被生长对气候要素变化的响应   总被引:4,自引:2,他引:4       下载免费PDF全文
选取西藏藏北高原西部高寒草原植被、中部高寒草甸植被及东南部高寒灌丛草甸植被 3 种藏北地区最典型的植被类型, 结合临近 3 个气象观测站的资料, 分析这 3 种典型植被类型地区 1999—2001 年旬平均气温、旬总降水量和 SPOT VEGETATION 卫星 10 d 最大值合成归一化植被指数 (NDVI) 变化特征以及 3 种典型植被基于 SPOT VEGETATION NDVI 的生长变化对旬平均气温和旬总降水量两个主要气候要素变化的响应关系。 结果表明: 藏北地区降水资源的空间分布特点是东南部向西北部逐渐减少, 气温则由南向北逐渐递减, 与降水资源分布相反, 蒸发量西部高, 东部低; SPOT VEGETATION NDVI 能够较为准确地反映 3 种典型植被生长变化特征, 所反映的植被返青期和枯黄期等重要植被生长阶段与由积温计算的植被生长特征基本一致; 藏北地区基于 SPOT VEGETATION NDVI 的植被生长变化与气温的相关系数明显高于与降水的相关系数 , 其中以那曲为代表的高寒草甸植被的 NDVI 与旬气温和旬降水总量的相关系数最大, 分别为 0.81 和 0.68 , 表明藏北地区由于海拔高, 气候寒冷, 气温对该地区植被生长的影响明显高于降水的影响, 即该地区植被生长变化对气温的响应程度明显高于对降水的响应程度 , 是植被生长的限制性因素; 不同植被类型对气温和降水两个要素的响应程度大小依次是高寒草甸、高寒灌丛草甸和高寒草原。  相似文献   

5.
呼伦贝尔草原NDVI时空变化及其对气候变化的响应   总被引:1,自引:0,他引:1  
利用2001—2016年MODIS NDVI数据和气象站点资料,分析呼伦贝尔草原NDVI的时空变化特征及其对气候变化的响应。结果表明,呼伦贝尔草原NDVI整体呈上升趋势,平均倾向率为0.041·(10 a)-1,其中新巴尔虎右旗西北部、新巴尔虎左旗中部和陈巴尔虎旗西部等地增加显著;NDVI的年变化主要受降水驱动,两者呈极显著的正相关;生长季内,5月气温和5、6月总辐射与NDVI普遍呈正相关,北部草原达到显著或极显著水平,但之后逐渐转为负相关。NDVI与降水普遍呈正相关,5月下半月开始有台站达到显著或极显著水平,7月达到显著或极显著的台站数量最多,并存在明显滞后。生长季内,典型草原NDVI与降水显著或极显著正相关的台站次数明显多于草甸草原。  相似文献   

6.
利用1967年航片数据、1986和2000年两期遥感TM数据,对长江黄河源区高寒生态系统分布格局变化进行了分析,并结合源区气候变化观测数据,分析了源区高寒生态系统变化与气候的关系和陆面生态系统变化对源区水文过程的影响。结果表明:过去40 a来,长江源区高覆盖草甸、高覆盖草原和湿地面积分别减少了13.5%、3.6%和28.9%,黄河源区高覆盖草甸、高覆盖草原和湿地面积分别减少了23.2%、7.0%和13.6%,江河源区低覆盖草甸、草原和沙漠草地面积均不同程度地增加;长江、黄河源区气温变化率分别为0.27和0.31℃/10a,降水的变化趋势在长江、黄河源区分别以0.36和0.07 mm/a的速率递增,气温持续升高和由此引起的冻土退化是导致高寒生态系统退化的主要因素之一;陆面生态系统退化对源区水文过程影响显著,在降水没有明显变化的情况下,长江、黄河源区径流系数分别由1960年代的0.16和0.28下降到21世纪的0.12和0.21,且降水-径流关系减弱,出源径流趋于减少,洪水发生频率显著增加,水源涵养指数持续减小。如何应对气候变化,维护源区高寒生态系统功能,已成为迫切需要关注和解决的关键问题。  相似文献   

7.
基于MODIS NDVI和气候信息的草原植被变化监测   总被引:10,自引:4,他引:6       下载免费PDF全文
对植被的动态监测可以从一定程度上反映气候变化趋势。该文利用2000—2005年MODIS NDVI数据对锡林郭勒盟典型草原植被变化进行动态监测,在此基础上,以降水量、水汽压、平均气温、最高气温、最低气温、日照时数作为气候指标,分析锡林郭勒盟典型草原和荒漠草原MODIS NDVI与同期及前期气候因子的相关性,探讨草原植被变化的气候驱动因子。结果表明:2000—2005年锡林郭勒盟植被改善面积大于退化面积,植被退化面积最大的区域为荒漠草原,占全盟面积的12.84%,植被改善面积最大的区域为典型草原,占全盟面积29.09%。4类草原改善趋势由强到弱的顺序为草甸草原、典型草原、沙地草原、荒漠草原。对于典型草原,其NDVI与最高气温关系最密切,其次为水汽压;对于荒漠草原,其NDVI与最高气温关系最为密切,其次为最低气温。此外,NDVI对气候因子的响应表现出明显的时滞效应。  相似文献   

8.
利用2008-2009年7-9月中国半干旱区9个通量观测站的通量和常规气象数据结合同期MODIS的EVI植被覆盖数据,分析了不同下垫面反照率的月、季特征及其与降水之间的关系,系统地探讨了特殊天气条件下各类下垫面的反照率日变化特征。结果表明:(1)按照季平均反照率的大小,各类下垫面排序依次为荒漠草地高寒草甸退化草地农田;(2)除退化草地外,其余各类下垫面反照率的拟合结果均通过0.05显著性水平检验,高寒草甸的拟合好于荒漠草地、农林混交农田和东北农田,而荒漠草地和农林混交农田拟合效果相当;(3)在荒漠草地下垫面,夜雨不会对次日反照率的"U"型分布产生影响,存在潜热维持土壤湿度和感热加强蒸腾作用两种机制;(4)无雪盖高寒草甸的反照率主要受植被覆盖度和高原植被叶面特性的影响;退化草地下垫面在强降水日白天出现反照率"√"型分布,由于09:00(北京时,下同)-11:00云量偏多、反照率偏高,15:00-17:00太阳高度角对反照率增大作用强于土壤湿度的减小作用,反照率缓慢回升造成的。低矮作物农田在雨日15:00-17:00反照率的骤升是植被覆盖度和太阳高度角相互作用所致,受浅层土壤含水量的影响不大。  相似文献   

9.
不同草原类型天然牧草生长发育气象条件分析   总被引:3,自引:0,他引:3  
通过对内蒙古草原3种不同草原类型,牧草生长发育过程和气象条件关系的分析研究,得出:主要牧草各发育期所需≥0℃积温变幅值和天然牧草各生育期所需热量;牧草返青与黄枯期主要取决于温度状况,而与水分关系较小;利用前10天的平均气温可以判断某生长期的发育进程;牧草对水分的需求主要体现在生长盛期,在典型草原和荒漠区更为明显,适当的干旱可使牧草有早熟现象;牧草的产量主要取决于水热搭配状况,通常情况下水分是典型草原与荒漠草原牧草产量的限制因子,热量可成为草甸草原的限制因子。旬降水量草甸草原达40mm、典型草原达30mm、草原化荒漠达10mm,产量有明显增加。  相似文献   

10.
基于全球土地利用类型和覆盖度,利用生长季多年平均(1982~2015年)归一化植被指数(Normalized Difference Vegetation Index,NDVI)和气候平均态(气温、降水量)数据,讨论了全球植被格局与气候因子之间的关系,建立了两者之间的多元回归模型,并分析了植被对气温和降水气候态敏感性的特征。植被与气候因子在气候梯度上存在明显的对应关系,回归模型可较好拟合气候态NDVI的全球分布格局,拟合与观测NDVI的相关系数达0.90。其中,常绿阔叶林、混交林、常绿针叶林、落叶阔叶林、农田和木本稀树草原空间分布的拟合能力较好(r>0.8)。不同土地覆盖类型的NDVI对气温、降水气候态的空间敏感性特征不同。整体而言,植被对气温和降水的敏感性呈现反相关关系(r=-0.6)。不同土地覆盖类型对气温表现出正/负敏感性,寒带灌木对气温的敏感性最强,而农作物、草原、裸地对气温负敏感性较大;植被对降水的敏感性均表现出正敏感性,其中落叶针叶林、草原和稀树草原对降水的空间敏感性较强。  相似文献   

11.
Using the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth, we explored the characteristics and differences in the response to drought of five vegetation biomes in Northeast China, including typical steppe, desert steppe, meadow steppe, deciduous coniferous forest and deciduous broad-leaved forest during the period 1982-2009. The results indicate that growing season precipitation may be the primary vegetation growth-limiting factor in grasslands. More than 70% of the temporal variations in NDVI can be explained by the amount of precipitation during the growing season in typical and desert steppes. During the same period, the mean temperature in the growing season could explain nearly 43% of the variations in the mean growing season NDVI and is therefore a dominant growth-limiting factor for forest ecosystems. Therefore, the NDVI trends differ largely due to differences in the vegetation growth-limiting factors of the different vegetation biomes. The NDVI responses to droughts vary in magnitude and direction and depend on the drought-affected areas of the five vegetation types. Specifically, the changes in NDVI are consistent with the variations in precipitation for grassland ecosystems. A lack of precipitation resulted in decreases in NDVI, thereby reducing vegetation growth in these regions. Conversely, increasing precipitation decreased the NDVI of forest ecosystems. The results also suggest that grasslands under arid and semi-arid environments may be more sensitive to drought than forests under humid environments. Among grassland ecosystems, desert steppe was most sensitive to drought, followed by typical steppe; meadow steppe was the least sensitive.  相似文献   

12.
The Tibetan Plateau is a region sensitive to climate change, due to its high altitude and large terrain. This sensitivity can be measured through the response of vegetation patterns to climate variability in this region. Time series analysis of Normalized Difference Vegetation Index (NDVI) imagery and correlation analyses are effective tools to study land cover changes and their response to climatic variations. This is especially important for regions like the Tibetan Plateau, which has a complex ecosystem but lacks a lot of detailed in-situ observation data due to its remoteness, vastness and the severity of its climatic conditions. In this research a time series of 315 SPOT VEGETATION scenes, covering the period between 1998 and 2006, has been processed with the Harmonic ANalysis of Time Series (HANTS) algorithm in order to reveal the governing spatiotemporal pattern of variability. Results show that the spatial distribution of NDVI values is in agreement with the general climate pattern in the Tibetan Plateau. The seasonal variation is greatly influenced by the Asian monsoon. Interannual analysis shows that vegetation density (recorded here by the NDVI values) in the entire Tibetan Plateau has generally increased. Using a 1 km resolution land cover map from GLC2000, seven meteorological stations, presenting monthly data on near surface air temperature and precipitation, were selected for correlation analysis between NDVI and climate conditions in this research. A time lag response has also been found between NDVI and climate variables. Except in desert grassland (Shiquanhe station), the NDVI of all selected sites showed strong correlation with air temperature and precipitation, with variations in correlation according to the different land cover types at different locations. The strongest relationship was found in alpine and subalpine plain grass, the weakest in desert grassland.  相似文献   

13.
This study analyzes the temporal change of Normalized Difference Vegetation Index (NDVI) for temperate grasslands in China and its correlation with climatic variables over the period of 1982–1999. Average NDVI of the study area increased at rates of 0.5% yr−1 for the growing season (April–October), 0.61% yr−1 for spring (April and May), 0.49% yr−1 for summer (June–August), and 0.6% yr−1 for autumn (September and October) over the study period. The humped-shape pattern between coefficient of correlation (R) of the growing season NDVI to precipitation and growing season precipitation documents various responses of grassland growth to changing precipitation, while the decreased R values of NDVI to temperature with increase of temperature implies that increased temperature declines sensitivity of plant growth to changing temperature. The results also suggest that the NDVI trends induced by climate changes varied between different vegetation types and seasons.  相似文献   

14.
As the world's highest and largest plateau, the Qinghai–Xizang Plateau has experienced a greater warming than the Northern Hemisphere and global averages. This warming has been reported to exhibit an elevation-dependent pattern. However, the finding involved plenty of uncertainties caused by the spatially limited datasets and complex topography. Here, we explored an approach integrating satellite-derived LST data and ground records to generate a spatially continuous air temperature dataset for the plateau grasslands from 2003 to 2012, and then examined influences of elevation/topography on temperature change trends. The derived temperature dataset was validated to be closely correlated with field-station records. Based on the derived spatially continuous temperature datasets, we found an opposite change trend of annually average temperature between Qinghai and Xizang Province. The contrasted trend was obvious in daytime and more so in summer season. By analyzing the temperature trend in relation to elevation, we found an enhanced temperature change trend in higher elevation than in lower elevation for autumn nights and winter temperatures, while the temperature change trends for other seasons were more evident in lower elevation areas. The varying temperature change trends as regulated by elevation implies that temperate grasslands have experienced a more rapid temperature change than alpine grasslands during the past decade.  相似文献   

15.
Chinese temperate grasslands play an important role in the terrestrial carbon cycle. Based on the parameterization and validation of Terrestrial Ecosystem Model (TEM, Version 5.0), we analyzed the carbon budgets of Chinese temperate grasslands and their responses to historical atmospheric CO2 concentration and climate variability during 1951–2007. The results indicated that Chinese temperate grassland acted as a slight carbon sink with annual mean value of 7.3 T?g C, ranging from -80.5 to 79.6 T?g C yr-1. Our sensitivity experiments further revealed that precipitation variability was the primary factor for decreasing carbon storage. CO2 fertilization may increase the carbon storage (1.4 %) but cannot offset the proportion caused by climate variability (-15.3 %). Impacts of CO2 concentration, temperature and precipitation variability on Chinese temperate grassland cannot be simply explained by the sum of the individual effects. Interactions among them increased total carbon storage of 56.6 T?g C which 14.2 T?g C was stored in vegetation and 42.4 T?g C was stored in soil. Besides, different grassland types had different responses to climate change and CO2 concentration. NPP and RH of the desert and forest steppes were more sensitive to precipitation variability than temperature variability while the typical steppe responded to temperature variability more sensitively than the desert and forest steppes.  相似文献   

16.
利用苏尼特草原地区1982—2006年NOAA AVHRR的NDVI数字遥感影像,以及1998-2007年逐旬的SPOT VAG-NDVI数据集,结合研究区域内苏尼特左旗、苏尼特右旗、朱日和、二连浩特4个气象站点的同期降水、气温数据,对植被盖度与不同组合方式的降水及气温数据进行了相关分析,探讨了植被盖度与气象因子的关系。结果表明:苏尼特草原生长季平均盖度、逐月盖度与降水呈正相关关系,与气温呈负相关关系,其中降水对盖度的影响存在着时滞及累积效应。  相似文献   

17.
基于GIMMS(global inventory modeling and mapping studies)NDVI 3g数据,在提取北半球荒漠草原过渡带每年植被物候期的基础上,研究了1982-2012年物候期的时间演化趋势及空间分异特征,并结合全球气候再分析资料,探讨了物候变化的气候驱动因素。结果表明:在1998年之前,荒漠草原过渡带植被物候期变化地区间差异较大,而在1998年之后,北半球荒漠草原过渡带生长季结束期整体提前,平均提前0.41 d/a;同时,除萨赫勒以外的各地区植被生长季长度普遍缩短,平均缩短0.88 d/a。植被物候期与气候因子的相关分析发现,荒漠草原过渡带植被物候变化受气候变化影响显著,且空间差异明显。在中高纬度地区,气温是限制植被活动的关键因子,温度升高可以促进生长季开始期的提前,而降水增加则会妨碍植被生长;在较低纬度地区,水分是影响植被活动的关键因素,高温造成的水分亏缺会导致植被生长季缩短。从植被物候期对各气候因子响应的时滞性来看,荒漠草原过渡带植被的物候期对气温变化的响应最迅速,对蒸散的响应存在一定的滞后性,而对降水的响应不存在时滞差异。  相似文献   

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