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1.
This study investigated the seasonal variations of the normalized difference vegetation index(NDVI) and its relationships with climatic variables and topography in a small-scale(20 km×20 km) area(i.e., Tsogt-Ovoo village) within the desert steppe zone of Mongolia using in-situ observed climate data and satellite remote sensing data. We found that the topography is very important for vegetation growth in the desert steppe although the summer precipitation is the constraining factor. The unexpectedly high NDVI(up to 0.56), as well as the high aboveground biomass, in the valley bottom was primarily resulted from the topography-modulated redistribution of overland flow after relatively heavy precipitation events during the growing season. This makes the valley bottoms in desert steppes not only reliable feeding resources for livestock but also heavens for wild lives. But, the detected large standard deviation of annual maximum NDVI(NDVI_(max)) from 2000 to 2013 in the valley bottom in response to rather variable precipitation implies that the valley bottoms under desert steppe climates are more vulnerable to climatic change.  相似文献   

2.
Spatio-temporal variations of vegetation phenology, e.g. start of green-up season(SOS) and end of vegetation season(EOS), serve as important indicators of ecosystems. Routinely processed products from remotely sensed imagery, such as the normalized difference vegetation index(NDVI), can be used to map such variations. A remote sensing approach to tracing vegetation phenology was demonstrated here in application to the Inner Mongolia grassland, China. SOS and EOS mapping at regional and vegetation type(meadow steppe, typical steppe, desert steppe and steppe desert) levels using SPOT-VGT NDVI series allows new insights into the grassland ecosystem. The spatial and temporal variability of SOS and EOS during 1998–2012 was highlighted and presented, as were SOS and EOS responses to the monthly climatic fluctuations. Results indicated that SOS and EOS did not exhibit consistent shifts at either regional or vegetation type level; the one exception was the steppe desert, the least productive vegetation cover, which exhibited a progressive earlier SOS and later EOS. Monthly average temperature and precipitation in preseason(February, March and April) imposed most remarkable and negative effects on SOS(except for the non-significant impact of precipitation on that of the meadow steppe), while the climate impact on EOS was found to vary considerably between the vegetation types. Results showed that the spatio-temporal variability of the vegetation phenology of the meadow steppe, typical steppe and desert steppe could be reflected by the monthly thermal and hydrological factors but the progressive earlier SOS and later EOS of the highly degraded steppe desert might be accounted for by non-climate factors only, suggesting that the vegetation growing period in the highly degraded areas of the grassland could be extended possibly by human interventions.  相似文献   

3.
Variation in vegetation cover in Inner Mongolia has been previously studied by the remote sensing data spanning only one decade. However, spatial and temporal variations in vegetation cover based on the newly released GIMMS NDVI3g data spanning nearly thirty years have yet to be analyzed. In this study, we applied the methods of the maximum value composite(MVC) and Pearson's correlation coefficient to analyze the variations of vegetation cover in Inner Mongolia based on GIMMS NDVI3g data spanning from 1982 to 2013. Our results indicate that the normalized difference vegetation index(NDVI) increased at a rate of 0.0003/a during the growing seasons despite of the drier and hotter climate in Inner Mongolia during the past three decades. We also found that vegetation cover in the southern agro-pastoral zone significantly increased, while it significantly decreased in the central Alxa. The variations in vegetation cover were not significant in the eastern and central regions. NDVI is positively correlated with precipitation(r=0.617, P=0.000) and also with air temperature(r=0.425, P=0.015), but the precipitation had a greater effect than the air temperature on the vegetation variations in Inner Mongolia.  相似文献   

4.
根据内蒙古荒漠草原11个气象观测站1961-2010年的日平均气温、降水量资料,采用改进的谢氏干燥度计算公式,并利用ArcGIS软件分析内蒙古荒漠草原50 a来气候干燥度的时空变化规律。结果表明:① 平均干燥度呈条带状自东南向西北逐渐递增,表明干燥程度由东南向西北逐渐加强;② 除中部偏西(海流图地区)干燥度减少、气候趋于湿润化外,其他地区干燥度指数呈增加趋势,说明内蒙古荒漠草原地区气候干旱化趋势明显;③ 20世纪70年代属于相对湿润期,21世纪初干旱程度明显加大。其结果导致干旱区面积随年代增加,至21世纪初干旱区面积增加了近3倍,从另一个侧面说明研究区域气候干旱化趋势显著;④ 干燥度4.0等值线向东南方向移动,逐渐侵入典型草原。以20世纪60年代为基点, 90年代前变幅相对较小,21世纪初的偏移范围最大。此外,该线在研究区域东部变化强烈,空间位移幅度大,西部相对变化较弱,空间位移相对较小。  相似文献   

5.
贺兰山西坡不同类型草地土壤酶活性特征   总被引:3,自引:0,他引:3  
以阿拉善左旗境内贺兰山中段(西坡)山前地带的主要草地类型为对象,分析不同类型草地土壤酶活性的分布特征,及其与气候、植被和土壤等环境因子的关系。结果表明:① 随着海拔高度的降低,土壤脲酶、蔗糖酶、碱性磷酸酶和过氧化氢酶活性表现为:高山草甸>山地草原>山地荒漠草原>草原化荒漠,且在0~10 cm土层的差异尤其显著;② 各类草地土壤酶活性均沿土壤垂直剖面依次降低,差异呈显著性水平;③ 偏相关及逐步回归分析表明,影响该区草地土壤脲酶和蔗糖酶活性最主要的因素为土壤微生物碳氮、有机碳和全氮,碱性磷酸酶主要受土壤微生物碳和全氮影响,对过氧化氢酶影响最大的因子为土壤微生物碳、pH、全氮和降水量。  相似文献   

6.
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   

7.
Fang HAN 《干旱区科学》2015,7(2):251-263
 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   

8.
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   

9.
为研究内蒙古典型草原不同放牧强度植被反射光谱与植被参数和蝗虫密度的关系,使用地物波谱仪于2015年和2016年对5个放牧梯度,共20hm~2样地进行调查研究。结果表明,不同放牧强度植被地上总生物量与归一化植被指数(NDVI)关系为y=0.034 8+0.002 9x(R~2=0.645 5,P=0.000 2),蝗虫密度与NDVI线性关系为y=0.067+0.013x(R~2=0.415,P=0.006)。对其进行冗余分析(RDA)发现,植被地上总生物量、植物高度、糙隐子草生物量是蝗虫数量和NDVI变化的主要影响因子,其中植被地上总生物量是显著性影响因子(P=0.001)。在不同放牧强度下蝗虫密度与草地NDVI显著相关(P0.05),随NDVI增大而增多。本文研究结果为进一步开展放牧区蝗灾遥感监测和科学合理地利用草地资源奠定了基础。  相似文献   

10.
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   

11.
何航  张勃  候启  李帅  马彬  马尚谦 《干旱区研究》2011,37(1):244-253
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   

12.
In this paper,10-day spatio-temporal response of vegetation to the change of temperature and precipitation in spring,summer,autumn and whole year during the period of 1998―2009 was analyzed based on the data of SPOT VEGETATION-NDVI and 10-day average temperature or precipitation from 54 meteorological stations in Xinjiang.The results show that the response of 10-day NDVI to temperature was more significant than that to precipitation,and the maximal response of vegetation to temperature and precipitation lagged for two 10-day periods.Seasonally,the effect of temperature and precipitation on vegetation NDVI was most marked in autumn,then in spring,and it was not significant in summer.The response of vegetation to 10-day change of meteorological factors was positive with a long affecting duration in spring,and it had a relatively short affecting duration in autumn and summer.Spatially,the 10-day maximal response of NDVI to temperature in northern Xinjiang was higher than that in southern Xinjiang.The correlation between the 10-day NDVI in whole year and the temperature in the 0-8th 10-day period was significantly higher than that between the annual NDVI and the annual temperature at all meteorological stations;the interannual change of NDVI was accordant well with the change of annual precipitation.However,the effect of precipitation within a year on NDVI was not strong.The results indicated that interannual change of temperature was not the dominant factor affecting the change of vegetation NDVI in Xinjiang,but the decrease of annual precipitation was the main factor resulting in the fluctuation of vegetation coverage.Ten-day average temperature was an important factor to promote vegetation growth in Xinjiang within a year,but the effect of precipitation on vegetation growth within a year was not strong.  相似文献   

13.
围栏封育对新疆蒿类荒漠草地植被及土壤养分的影响   总被引:10,自引:0,他引:10  
以新疆封育3年的蒿类荒漠草地为对象,研究干旱区封育对草地植被及土壤养分的影响.结果表明:封育后荒漠草地群落的盖度、产量明显增加(P<0.05),分别比对照提高了11.0%,51.6 g/m~2,且盖度、产量的增加主要是由藜科草类引起;荒漠草地80%以上的地下生物量集中在0~40 cm土层中,且封育促进了0~10 cm土层内生物量的增加(P<0.05);与放牧地相比,封育后土壤有机质、全氮、全磷、全钾及速效氮、磷、钾含量均有所提高,且在0~10 cm的土层中差异显著(P<0.01),而pH值略有上升.  相似文献   

14.
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 MODIS (moderate resolution imaging spectroradiometer) NDVI (normalized difference vegetation index) data from 2000 to 2020, our objective is to investigate the spatiotemporal changes of NDVI in the Xilin Gol grassland, Inner Mongolia Autonomous Region, China. Combined with 12 natural factors and human activity factors in the same period, the dominant driving factors and their interactions were identified by using the geographic detector model, and multiple scenarios were also simulated to forecast the possible paths of future NDVI changes in this area. The results showed that: (1) in the past 21 a, vegetation cover in the Xilin Gol grassland exhibited an overall increasing trend, and the vegetation restoration (84.53%) area surpassed vegetation degradation area (7.43%); (2) precipitation, wind velocity, and livestock number were the dominant factors affecting NDVI (the explanatory power of these factors exceeded 0.4). The interaction between average annual wind velocity and average annual precipitation, and between average annual precipitation and livestock number greatly affected NDVI changes (the explanatory power of these factors exceeded 0.7). Moreover, the impact of climate change on NDVI was more significant than human activities; and (3) scenario analysis indicated that NDVI in the Xinlin Gol grassland increased under the scenarios of reduced wind velocity, increased precipitation, and ecological protection. In contrast, vegetation coverage restoration in this area was significantly reduced under the scenarios of unfavorable climate conditions and excessive human activities. This study provides a scientific basis for future vegetation restoration and management, ecological environmental construction, and sustainable natural resource utilization in this area.  相似文献   

15.
研究了荒漠草原土壤有机碳的特征及其与植被之间的关系。结果表明:0-10cm和10-20cm土层土壤有机碳含量随着放牧强度的增加而降低,未放牧区(CK)>轻度放牧区(LG)>中度放牧区(MG)>重度放牧区(HG),中度放牧区和重度放牧区分别显著低于未放牧区(P<0.05);0-10cm土层土壤有机碳含量与草地地上生物量和植被盖度具有极强的相关性,与草群高度具有较强的相关性;10-20cm土层土壤有机碳与草地地上生物量和植被盖度具有极强的相关性,而与草群高度的相关性较弱;根据相关性的强弱,建立了土壤有机碳与草地地上生物量和植被盖度的线性回归模型。  相似文献   

16.
模拟增温及施氮对荒漠草原土壤呼吸的影响   总被引:3,自引:0,他引:3  
以内蒙古高原四子王旗短花针茅建群的荒漠草原为研究对象,通过野外自然条件下进行的模拟增温和增施氮肥实验,研究了增温、施氮及增温+施氮情况下土壤呼吸强度的变化。三年的研究结果表明:1)增温对各年内土壤呼吸没有产生显著影响,但土壤呼吸有明显的季节变化,而且与增温显著相关(P<0.05)。2)施氮对荒漠草地的影响程度与自然条件有密切关系,其中降雨量多少是施氮对荒漠草地土壤呼吸影响程度的重要制约因素,降雨量越高氮素对土壤呼吸作用愈加明显。3)施氮显著增加了植物群落的地下生物量(P<0.05),土壤呼吸与地下生物量呈显著的正相关(P<0.001)。  相似文献   

17.
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   

18.
通过分析多年的NDVI,探讨策勒绿洲-沙漠过渡带的空间结构变化,并结合同期自然环境和人为活动情况进行讨论。结果表明:① 过渡带植被变化总体上受地下水位控制,植被由绿洲向沙漠梯度递减;其内部植被覆盖区域与裸沙地并存,植被分布呈斑块状。根据过渡带NDVI的变化,将过渡带分为单向渐变型、双向渐变型和突变型过渡带。② 2001—2010年策勒绿洲-沙漠过渡带边界变化剧烈,过渡带内边界主要受控于人为活动;过渡带外边界主要受控于自然因素。③ 虽然绿洲地下水受到持续过度开采,绿洲-沙漠过渡带不断被开垦成为耕地,但是由于封育保护,2001—2010年过渡带植被略有改善,基本上保持其自身的稳定。④ 策勒绿洲-沙漠过渡带NDVI变化趋势与年降水量的变化趋势相一致,但变化幅度相差较大。  相似文献   

19.
文中应用2000~2011年期间的MODIS NDVI数据对比了山东半岛和辽东半岛植被覆盖的时间变化以及空间自相关特征。结果表明:山东半岛和辽东半岛植被覆盖状况均较好,其中辽东半岛植被覆盖相对更好;2000~2011年间两个半岛NDVI均呈显著上升趋势,山东半岛的上升趋势更明显。两半岛NDVI的全局Moran's I分别为0.896和0.778,均表现为正的全局空间自相关,植被覆盖均呈空间集聚状态,且山东半岛植被覆盖的集聚特征更突出。局部空间自相关上,山东半岛大部分地区,辽东半岛千山山脉以东和辽河流域的ND-VI表现为高-高自相关,这些区域植被覆盖较好;而山东半岛西北部的黄河三角洲湿地区域以及莱州湾,辽东半岛千山山脉以西和半岛南端大连市的NDVI呈低值区集聚状态,植被覆盖较差。总的来说,该研究有助于了解山东半岛和辽东半岛植被覆盖的空间聚集规律和关联模式,从而为认识研究区植被覆盖状况以及生态保护提供依据。  相似文献   

20.
方楷  宋乃平  魏乐  安慧 《干旱区研究》2012,29(4):641-647
运用方差分析、多重比较、Pearson相关系数及克里格插值方法,在时间和空间尺度上分析了荒漠草原地形因素对土壤水分及草地生物量异质性的影响以及土壤水分和生物量的关系。结果表明:荒漠草原地区土壤水分垂直分布规律明显,土壤水分的变异系数在0~20 cm最小、60~80 cm最大;地上生物量在整个生长季的空间异质性较大。3种地形条件下土壤水分含量及时空分布格局各不相同,说明地形是土壤水分异质性的关键影响因子;地形对植物的生长动态规律影响很大,却对地上生物量的空间分异影响较小。不同生育期,土壤水分与地上生物量的关系不同,生长初期地上生物量与60~100 cm土壤水分显著负相关,说明生长初期的土壤水分是植物生长的关键影响因子,并且植物生长耗水主要来自60~100 cm土层;生长旺期和末期的生物量与土壤含水量相关性较弱,这可能与干旱区植物耐旱器官的建成有关。
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