共查询到19条相似文献，搜索用时 187 毫秒
1.
三江源地表反照率时空变化及其与气候因子的关系 总被引：1，自引：0，他引：1
基于2001-2010年的MODIS地表反照率产品(MCD43A3),分析三江源地区地表反照率的空间格局和变化规律,并结合该地区14个气象站点的气温和降水数据,探讨地表反照率与气候因子的相关关系。结果表明：三江源地区地表反照率在空间上呈西高东低的分布特征,与该地区高程变化的趋势基本一致;10 a 间平均地表反照率为0.209,集中分布在0.15~0.25。从年际变化来看,研究区地表反照率整体呈增加趋势,但变化不显著;地表反照率的季节变化较为明显,从冬季到夏季逐渐减小,从夏季到冬季逐渐增加,低值时段为6-9月,变化近似于“U”字形。温度和降水能够通过影响植物的生长和土壤表层含水量进而影响地表反照率;在季节尺度上,地表反照率受春季和秋季气候条件的影响最为显著,二者存在显著的负相关关系,而在冬夏两季地表反照率与气候因子在空间上具有正相关和负相关共存的现象。 相似文献
2.
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
3.
《干旱区研究》2018,(6)
土壤含水率是影响干旱区植物生长的重要因素,获取区域尺度土壤含水率数据,能够为干旱半干旱区生态恢复和脆弱生态系统保护提供科学依据。结合MODIS地表温度和反射率数据及全球陆面数据同化系统(GLDAS)土壤含水率数据,利用表观热惯量法和统计降尺度方法反演疏勒河流域土壤含水率,研究其时空变化及其与植被的相关性,得到以下结论:2016年整个疏勒河流域年均土壤含水率偏低,且季节变化显著,其均值、离散程度存在7月 10月 4月 12月的趋势;流域东部土壤含水率整体高于西部;流域土壤含水率空间分布的季节变化显著,其变异系数的空间分布与年均土壤含水率相似;土壤含水率与归一化植被指数NDVI正相关,但不同区域两者相关程度不同,灌区土壤含水率与植被的相关性最高。 相似文献
4.
以精河流域绿洲为研究区,使用Landsat ETM+数据,采用单窗算法和普适性单通道算法对研究区地表温度进行反演,并将这两种算法的反演结果与研究区MODIS温度产品(MODIS LST)进行比较。结果表明：(1) 单窗算法和普适性单通道算法反演的结果总体趋势比较接近,研究区整体的平均温度相差约2k;(2) 采用改进型土壤调整植被指数(MSAVI)代替归一植被指数(NDVI)计算地表比辐射率可有效提高反演精度,并且同等条件下单窗算法的反演精度高于普适性单通道算法,两种算法的反演结果与MODIS LST的相关系数分别是0.9255和0.8651;(3) 在城镇区域,普适性单通道算法反演结果与MSAVI的相关性高于单窗算法,相关系数为0.8136,说明普适性单通道算法更适合干旱区大范围城镇地表温度的反演研究。 相似文献
5.
新疆伊犁河流域植被变化动态监测与评价 总被引：1，自引：0，他引：1
基于2000-2013年MODIS/NDVI数据和研究区内气象站点资料,分析了伊犁河流域植被生长季NDVI时空变化特征及其与气候因子的关系。结果表明:1)研究区植被整体呈微弱的退化趋势,年退缩率为-0.8×10-3a-1,其中草原的退化趋势较草甸、灌丛和林地略显著。2)2000-2013年研究区植被退化区面积占研究区总面积的11.45%,主要分布在特克斯河中下游、巩乃斯河周边地区;植被改善面积占全区总面积的8.38%,主要分布在伊宁市及霍尔果斯河周边地区。3)研究区伊宁站周边植被生长季NDVI与同期气温及降水存在不显著相关性,昭苏站周边植被生长季NDVI与同期气温及降水分别存在显著负相关和极显著正相关。气候的暖干化趋势可能是导致伊犁河流域植被生长退化的主要原因。 相似文献
6.
研究植被的动态变化及其影响因素,不仅能够揭示植被覆盖动态变化特征与气候变化之间的响应机制,同时对区域的植被恢复以及生态可持续具有重要意义。本文基于MODIS遥感卫星数据,借助变异系数、趋势分析、相关分析与Hurst指数探究了2000—2020年西北干旱半干旱区植被覆盖逐季变化特征、影响因素及未来趋势。结果表明：（1）归一化植被指数（Normalized Difference Vegetation Index, NDVI）空间变异程度在冬季偏高,且高波动主要分布在新疆与内蒙古大兴安岭的草地与未利用地区域。（2）NDVI随季节波动较大,在林地与耕地最为明显。（3）NDVI主要为改善趋势,其中,春季改善面积最大（84.63%）,冬季最小（72.52%）,且林地改善最为显著。（4）各季度NDVI均受地表温度与降水量影响（Significance=0.05）,且夏季地表温度与冬季降水量逐年递增对植被生长具有抑制作用。（5）未来NDVI主要呈改善趋势。值得注意的是,退化区域零星分布于新疆塔里木盆地、准噶尔盆地等地区。本研究旨在为西北干旱半干旱区的生态修复与治理,以及局部气候暖湿化的应对提供理论参考... 相似文献
7.
天山北坡气候因子对植被影响的空间分异性研究 总被引：2，自引：1，他引：1
天山北坡经济带作物品种多且品种间差异大,气候变化对区域作物结构布局的影响研究对新疆农牧业生产具有积极的指导作用。文中利用2002～2007年天山北坡生长季逐月MODIS归一化植被指数（ND-VI）数字影像,计算了NDVI动态变化与气温、降水变化的相关关系,分析了NDVI变化的区域分异规律,探讨了气温、降水对植被NDVI... 相似文献
8.
干旱区区域蒸散发量遥感反演研究 总被引：3，自引：2，他引：1
为研究干旱半干旱区蒸散发量,以新疆为研究区域,基于地表能量平衡,依据地表温度与反照率关系确定蒸发比,利用MODIS影像遥感估算新疆地区的蒸散发量。通过野外验证,模拟蒸散量与涡度相关仪野外观测量一致,平均误差在0.40mm/d。在干旱区,蒸散发量与降水的相关性在82%,与气温的相关性分别为46%。通过模型反演,2005年研究区在空间上以裸土蒸发为主,蒸发量在0-2mm/d之间,主要在塔里木盆地、准噶尔盆地和吐鲁番盆地,而蒸散发量较高地区主要为天山山脉下垫面为林地草地和平原绿洲农田区域,蒸散发量最大达6mm/d。 相似文献
9.
退耕还林工程以来黄土高原植被覆盖与地表湿润状况时空演变 总被引：3，自引：0，他引：3
《干旱区研究》2018,(6)
基于2000—2014年的MODIS数据和Landsat数据,利用温度植被干旱指数反映地表湿润状况,分析了退耕还林工程以来黄土高原地表湿润状况与植被覆盖的时空变化特征及其相互关系。(1)2001—2014年黄土高原归一化植被指数增速为6.3%·(10a)~(-1),温度植被干旱指数降速为-4.5%·(10a)~(-1),植被覆盖与地表湿润状况均呈增加趋势,分布呈"东南高、西北低"的特征,大体上可以看出两者具有正的空间相关性。(2)从TVDI和NDVI的变化趋势来看,黄土高原植被覆盖与地表湿润状况整体上呈现出增加趋势。空间分布上反映出,植被覆盖变化基本上与地表湿润状况变化分布一致,但是仍然存在区域性差异。(3)从相关系数来看,黄土高原植被覆盖与地表湿润状况呈现出正相关。从变化趋势对应关系来看,14 a间黄土高原东北—西南一线山地地区植被覆盖与地表湿润状况变化有利于生态环境改善。人类活动强烈的平原地带极不利于生态环境改善。值得注意的是,退耕还林重点区是未来生态环境变化监测和管理的重点区域,以免引起再次退化。 相似文献
10.
近10 a来祁连山植被覆盖变化研究 总被引：7，自引：1，他引：6
NDVI作为植被生长状况及植被覆盖度的最佳指示因子,被认为是监测地区或全球植被和环境变化的最有效指标。基于2000-2011年250 m分辨率的MODIS NDVI数据并结合气候资料,采用最大值合成法、均值法、斜率分析法、相关分析法,研究祁连山生长季植被覆盖的时空变化及其与气候因子的相关性。结果表明：祁连山植被覆盖总体上自西向东递增,呈现东多西少的分布格局;植被覆盖变化存在明显的空间差异,表现为中西部植被覆盖增加,增加面积为79 149 km2,占祁连山总面积的52.93%;东部植被覆盖减少,减少面积为22 865 km2,占祁连山总面积的11.09%。近10 a来植被覆盖整体上呈增加趋势,生长季各月植被覆盖整体上呈增加趋势,全球气候变暖导致的降水增加是祁连山植被覆盖增加的主要原因。NDVI与气温、降水的相关性较高并存在一定的滞后性,6、7月NDVI分别与前期1月和前期2月的降水显著相关,相关系数分别为0.788和0.684;8、9月NDVI分别与当月、前期1月的气温极显著相关,相关系数分别为0.825和0.829。 相似文献
11.
Response of vegetation to temperature and precipitation in Xinjiang during the period of 1998-2009 总被引：3，自引：1，他引：2
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
12.
Spatial distribution of vegetation and the influencing factors in Qaidam Basin based on NDVI 总被引：1，自引：0，他引：1
The spatial distribution of vegetation in Qaidam Basin was analyzed using GIMMS(Global Inventory Modeling and Mapping Studies) /NDVI(Normalized Difference Vegetation Index) data set from January 1982 to December 2006.Based on the data of precipitation,terrain,stream systems,land use and the map of vegetation distribution in Qaidam Basin,we studied the factors influencing the spatial distribution of vegetation.The results showed that the vegetation was generally low in Qaidam Basin and there was a clear semi-ring structure from southeast to northwest.In some areas,the existence of rivers,lakes and spring belts turned this semi-ring structure into a non-continuous state and formed distinct bright spots and continuous linear features.There were four main factors that affected the spatial distribution of vegetation coverage in Qaidam Basin,i.e.,precipitation,hydrological conditions,altitude and human activities.Precipitation and altitude have a correlation and determine the basic pattern of vegetation distribution in Qaidam Basin.The impacts of hydrological conditions and human activities were mainly embodied in partial areas,and often broke the pattern of vegetation distribution dominated by precipitation and altitude. 相似文献
13.
CHEN Limei 《干旱区科学》2022,14(12):1377-1394
Vegetation growth status is an important indicator of ecological security. The Tarim River Basin is located in the inland arid region of Northwest China and has a highly fragile ecological environment. Assessing the vegetation net primary productivity (NPP) of the Tarim River Basin can provide insights into the vegetation growth variations in the region. Therefore, based on the Google Earth Engine (GEE) cloud platform, we studied the spatiotemporal variation of vegetation NPP in the Tarim River Basin (except for the eastern Gobi and Kumutag deserts) from 2001 to 2020 and analyzed the correlations between vegetation NPP and meteorological factors (air temperature and precipitation) using the Sen slope estimation method, coefficient of variation, and rescaled range analysis method. In terms of temporal characteristics, vegetation NPP in the Tarim River Basin showed an overall fluctuating upward trend from 2001 to 2020, with the smallest value of 118.99 g C/(m2?a) in 2001 and the largest value of 155.07 g C/(m2?a) in 2017. Regarding the spatial characteristics, vegetation NPP in the Tarim River Basin showed a downward trend from northwest to southeast along the outer edge of the study area. The annual average value of vegetation NPP was 133.35 g C/(m2?a), and the area with annual average vegetation NPP values greater than 100.00 g C/(m2?a) was 82,638.75 km2, accounting for 57.76% of the basin. The future trend of vegetation NPP was dominated by anti-continuity characteristic; the percentage of the area with anti-continuity characteristic was 63.57%. The area with a significant positive correlation between vegetation NPP and air temperature accounted for 53.74% of the regions that passed the significance test, while the area with a significant positive correlation between vegetation NPP and precipitation occupied 98.68% of the regions that passed the significance test. Hence, the effect of precipitation on vegetation NPP was greater than that of air temperature. The results of this study improve the understanding on the spatiotemporal variation of vegetation NPP in the Tarim River Basin and the impact of meteorological factors on vegetation NPP. 相似文献
14.
Lishan SHAN 《干旱区科学》2018,10(6):850-863
Launched in 2002, the Beiing-Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in vegetation growth in the BTSSCP region since the initiation of this project. Precipitation and essential climate variable-soil moisture (ECV-SM) conditions are typically considered to be the main drivers of vegetation growth in this region. Although many studies have investigated the inter-annual variations of vegetation growth, few concerns have been focused on the annual and seasonal variations of vegetation growth and their climatic drivers, which are crucial for understanding the relationships among the climate, vegetation, and human activities at the regional scale. Based on the normalized difference vegetation index (NDVI) derived from MODIS and the corresponding climatic data, we explored the responses of vegetation growth to climatic factors at annual and seasonal scales in the BTSSCP region during the period 2000-2014. Over the study region as a whole, NDVI generally increased from 2000 to 2014, at a rate of 0.002/a. Vegetation growth is stimulated mainly by the elevated temperature in spring, whereas precipitation is the leading driver of summer greening. In autumn, positive effects of both temperature and precipitation on vegetation growth were observed. The warming in spring promotes vegetation growth but reduces ECV-SM. Summer greening has a strong cooling effect on land surface temperature. These results indicate that the ecological and environmental consequences of ecological restoration projects should be comprehensively evaluated. 相似文献
15.
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
16.
气候变化和人类活动对蒙古高原植被覆盖变化的影响 总被引：4，自引：0，他引：4
基于全球监测与模型研究组（GIMMS）归一化植被指数(NDVI),对蒙古高原地区1981-2006年植被覆盖的时空变化进行了研究,并从气候变化和人类活动的角度,分析了植被覆盖变化的原因。1981-2006年蒙古高原的植被覆盖时空分布具有明显的地带性特征,森林区及荒漠区植被覆盖呈现小幅下降趋势,草原区呈现上升趋势,蒙古高原NDVI分布从东北向西南、从高原南北边缘地带向中心地带呈明显的规律性变化：高原东北部的大兴安岭地区NDVI最高,蒙古国北部的杭爱山脉次之,西南部荒漠区的NDVI最低。研究表明: 植被覆盖变化是气候变化和人类活动共同作用的结果,蒙古高原地区的降水变化是植被覆盖变化的重要原因,森林砍伐、河套耕作及城镇化等人类活动则是导致具有相似气候条件的内蒙古与蒙古国植被覆盖变化区域差异的原因。 相似文献
17.
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
18.
LIU Yifeng 《干旱区科学》2023,15(1):91-108
Under the combined influence of climate change and human activities, vegetation ecosystem has undergone profound changes. It can be seen that there are obvious differences in the evolution patterns and driving mechanisms of vegetation ecosystem in different historical periods. Therefore, it is urgent to identify and reveal the dominant factors and their contribution rates in the vegetation change cycle. Based on the data of climate elements (sunshine hours, precipitation and temperature), human activities (population intensity and GDP intensity) and other natural factors (altitude, slope and aspect), this study explored the spatial and temporal evolution patterns of vegetation NDVI in the Yellow River Basin of China from 1989 to 2019 through a residual method, a trend analysis, and a gravity center model, and quantitatively distinguished the relative actions of climate change and human activities on vegetation evolution based on Geodetector model. The results showed that the spatial distribution of vegetation NDVI in the Yellow River Basin showed a decreasing trend from southeast to northwest. During 1981-2019, the temporal variation of vegetation NDVI showed an overall increasing trend. The gravity centers of average vegetation NDVI during the study period was distributed in Zhenyuan County, Gansu Province, and the center moved northeastwards from 1981 to 2019. During 1981-2000 and 2001-2019, the proportion of vegetation restoration areas promoted by the combined action of climate change and human activities was the largest. During the study period (1981-2019), the dominant factors influencing vegetation NDVI shifted from natural factors to human activities. These results could provide decision support for the protection and restoration of vegetation ecosystem in the Yellow River Basin. 相似文献
19.
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