利用NOAACHAIN监测近10 a来中国西北土地覆盖的变化

近10 a来, 中国西北地区土地覆盖发生显著的变化. 利用基于遥感的中国西北土地覆盖动态监测系统NOAAAVHRR Processing Chain (NOAACHAIN), 预处理1 990年7～8月和1999年7～8月NOAAAVHRR影像资料, 对预处理过程的大气纠正和几何纠正方法及有关参数的计算进行详细的介绍. 对计算的参数NDVI进行统计, 获取两个时期土地覆盖变化的数据. 从NDVI差值分布图可以看出中国西北植被指数普遍减小, 植被退化严重, 严重退化的地区主要分布在青海东部农牧交错区、新疆的天山地区和塔里木河下游的"绿色走廊"地带等;中度退化地区分布在青海的柴达木盆地、新疆的准葛尔盆地和塔里木盆地南部、甘肃的民勤地区、陕西北部和甘肃庆阳地区北部等. 植被增加的地区主要分布在伊利河流域、新疆北部、青海南部、甘肃兰州附近和陕西的秦岭等局部地区.     

Identifying spatial patterns of synchronization between NDVI and climatic determinants using joint recurrence plots

Ten-day series of the Normalized Difference Vegetation Index (NDVI) derived from multi-temporal satellite imagery (1998–2008) was employed as a surrogate for the surface vegetation cover to investigate synchronization of the climatic determinants and its spatial patterns in China. The results, both of the spatiotemporal patterns of joint probability of recurrence (JPR) index and lag time of maximal JPR, clearly suggest that the synchronous relationships of NDVI–climate are site specific and spatially heterogeneous. Higher JPR values of NDVI–temperature are found in Northern China, indicating stronger synchronization in these areas, while higher JPR values of NDVI–precipitation are found in semi-arid and semi-humid regions, which suggest that the moisture factor has a significant influence on NDVI in these areas. Whether lagged or advanced relationship, the phase difference of NDVI–temperature is smaller in Southern China, while is bigger in Northern China. In contrast, the phase difference of NDVI–precipitation is smaller in the semi-arid and sub-humid areas, which means that precipitation has a significant and immediate influence on vegetation in these areas. Overall, the JPR values for NDVI–temperature are higher than those for NDVI–precipitation, suggest that the synchronization between NDVI and temperature is stronger than that between NDVI and precipitation in most areas of China. The results indicate that joint recurrence quantification analysis is a good candidate method for identifying the synchronization between NDVI and climatic determinants.     

内蒙古西辽河平原植被指数时空变化及其影响因素研究

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。     

Climate change and local adaptation strategies in the middle Inner Mongolia,northern China

According to records of 17 meteorological stations distributed in the study area, climate change of the middle Inner Mongolia in northern China was analyzed in this paper. Based on SPOT VGT data, combined with field investigation, local vegetation change was detected in the last 10 years. The results show that annual mean air temperature obviously rose, while precipitation slightly decreased in fluctuation in the study area during the last 50 years. Air temperature increasing rates are +0.318°C 10 year⁻¹ during 1960-2009 and +0.423°C 10 year⁻¹ during 1980–2009, while precipitation decreasing rates are −2.91 mm 10 year⁻¹ during 1960–2009. There were five different dry or wet periods from the 1960s to the 2000s in order, and the wetter 1990s and the drier 2000s changed dramatically in the study area. Local climate totally tend to warm–dry conditions during the last 50 years. According to coefficient of variation (Cv) of yearly growing-season cumulative NDVI value and yearly NDVI maximum in pixel scale, vegetation had experienced huge temporal and spatial variation during the last 10 years. Recently, frequent droughts and dust storms seriously affected local agriculture and grazing activities, and resulted in heavy economic loss, especially over the drought period of 1999–2001. Faced with those drought disasters accompanied with strong dust storms, the local authorities proposed the enclosing-transferring strategy and made great efforts to adapt overt climate change and improve environment, including making selective emigration, decreasing livestock numbers, fencing grasslands and building forage production bases with irrigation instruments and actively adjusting industry structure. However, some effects and potential problems of this adaptation strategy still need to be comprehensively assessed further in longer time scales and aimed at different sub-regions.     

1998—2007年新疆植被覆盖变化及驱动因素分析

利用1998-2007年SPOT VGT归一化植被指数(NDVI)数据对新疆植被覆盖的年际和空间变化进行了动态监测,并从气候变化和人类活动双重角度分析了植被覆盖演变的原因.1998-2007年新疆植被覆盖变化经历了2个阶段:1998-2001年植被覆盖严重退化时期;2002-2007年植被覆盖由急剧上升到缓慢下降再到持续升高时期,NDVI明显高于20世纪末期水平.新疆植被覆盖变化存在显著的空间差异,阿尔泰山地森林、巴音布鲁克草原等自然植被NDVI明显退化,农业灌溉区和生态建设地区的植被覆盖明显提高.从不同的土地利用类型来看,沙地和耕地的NDVI上升趋势显著,林地和草地植被的NDVI退化严重.研究表明,新疆植被覆盖变化是气候变化和人类活动共同作用的结果.温度对植被覆盖变化的影响表现为对植被生长年内韵律的控制和春季植被生长期的延长,年降水量的波动式下降是导致新疆植被覆盖变化呈现2个阶段的主导冈素.农业生产水平的提高是新疆农业灌溉区NDVI不断上升的重要原因,同时,近年来大规模实施的生态建设工程所带来的生态效应正在呈现.     

过去21a中国西北植被覆盖动态监测与模拟

利用1981至2001年8kmAVHRR数据,采用均值法、差值法和一元线性回归模拟法,分析西北植被年内变化、年际变化特征,并模拟近21aNDVI最大化值的变化趋势线和NDVI增长幅度.统计结果表明,中国西北植被覆盖在7～8月达到年内最丰盛;近21a来植被覆盖存在普遍退化的趋势,且后10a变化幅度大于前10a变化幅度;在局部区域有植被改善的趋势,改善幅度小于退化幅度.模拟结果表明,植被改善的区域主要分布在新疆西部和北部地区.     

气候变化对中国北方荒漠草原植被的影响

气候变化对陆地生态系统的影响及其反馈是全球变化研究的焦点之一。利用气候变量实现对遥感植被指数所表示的植被绿度信息的模拟，可以尝试作为表达生物圈过去和未来状态的一种途径。利用1961-2000年的气温、降水和1983-1999年的NOAA/AVHRR资料，分析了中国北方地带性植被类型荒漠草原植被分布区的短尺度气候的年际和季节变化，及其对植被的影响。结果表明，过去40年中该区域年际气候变化表现为增温和降水波动。年NDVI的最大值（NDVI_max）可以较好地反映气候的变化，过去17年中NDVI_max出现的时间略有提前。综合分析NDVI、植被盖度、NPP、区域蒸散量、土壤含水量及其气候的年际变化，表明增温加剧了土壤干旱化，降水和土壤含水量仍是制约本区植被生长的根本原因。     

格尔木河流域植被指数时空分布及其影响因素研究

格尔木河流域气候干旱少雨,生态环境较脆弱,植被动态对其生态环境保护具有重要意义。基于连续序列的MODIS NDVI数据,分析了格尔木河流域植被指数时空分布及其影响因素。结果表明:研究区NDVI平均值总体较小,主要在0.10～0.12间波动,但呈增大趋势。区内植被改善区分布在格尔木市东、西两侧,基本不变区为荒漠地区,植被退化区分布在北部盐湖区。区内裸土的面积逐渐减小,低覆盖率和高覆盖率植被的面积逐渐增加。研究区植被生长与气象、土壤水分和地下水位埋深都有关系。气温与植被指数相关关系较好,相关系数为0.822,而降水对植被的生长也有一定的作用。植被指数与表观热惯量是正相关关系,相关系数为0.979。区内植被的地下水位埋深范围为0～12 m,在水位埋深约为6.5 m的地方,植被长势最好。     

Vegetation pattern variation,soil degradation and their relationship along a grassland desertification gradient in Horqin Sandy Land,northern China

The Horqin Sandy Land is one of the most severely desertified regions in northern China. Plant communities and soil conditions at five stages of grassland desertification (potential, light, moderate, severe and very severe) were selected for the study of vegetation pattern variation relating to soil degradation. The results showed that vegetation cover, species richness and diversity, aboveground biomass (AGB), underground biomass, litter, soil organic carbon (C), total nitrogen (N), total phosphorus (P), electrical conductivity, very fine sand (0.1–0.05 mm) content and silt (0.05–0.002 mm) content decreased with the desertification development. Plant community succession presented that the palatable herbaceous plants gave place to the shrub species with asexual reproduction and sand pioneer plants. The decline of vegetation cover and AGB was positively related to the loss of soil organic C and total N with progressive desertification (P < 0.01). The multivariate statistical analysis showed that plant community distribution, species diversity and ecological dominance had the close relationship with the gradient of soil nutrients in the processes of grassland desertification. These results suggest that grassland desertification results in the variation of vegetation pattern which presents the different composition and structure of plant community highly influenced by the soil properties.     

Desertification Risk Monitoring for North Shaanxi Province, China,Using Normalized Difference Vegetation Index（NDVI）

In this study,the remote sensing is applied to the examination of the relationship between desertification and normalized difference vegetation index(NDVI) in the context of northern Shaanxi Province.This relationship is also examined using spatial analysis methods.A strong negative correlation is found in the largest area desert,indicating that the relationship between desert and NDVI is not a sim-ple linear one and that the correlation coefficient between NDVI and vegetation abundance is significant.The normalized difference vegetation index(NDVI) was compared with other vegetation index-based methodologies.NDVI is a valuable first-cut indicator for such systems, although the analysis and inter-pretation of its relationship to desertification are complex and also based on the detailed analysis of its re-lationship to ecological zone,vegetation type and season.Conclusions thus made would help to upgrade the methodology as an effective tool for early-warning desertification in the northern Shaanxi Province where a drought is a recurring threat.This methodology includes the integration of NDVI with other socio-economic and bio-physical indicators in GIS ,the complementation of desert area data with satellite data,and the analysis of the relationship between NDVI and specific climatic zones,for each season and vegetation type.     

Trends and variation in vegetation greenness related to geographic controls in middle and eastern Inner Mongolia,China

Extensive studies have investigated the relationships between climate change and vegetation dynamics. However, the geographic controls on vegetation dynamics are rarely studied. In this study, the geographic controls on the trends and variation of vegetation greenness in middle and eastern Inner Mongolia, China (mid-eastern Inner Mongolia) were investigated. The SPOT VEGETATION 10-day period synthesis archive of normalized difference vegetation index (NDVI) from 1999 to 2007 was used for this study. First, the maximum value compositing (MVC) method was applied to derive monthly maximum NDVI (MNDVI), and then yearly mean NDVI (YMNDVI) was calculated by averaging the MNDVIs. The greenness rate of change (GRC) and the coefficient of variation (CV) were used to monitor the trends and variation in YMNDVI at each raster grid for different vegetation types, which were determined from a land use dataset at a scale of 1:100,000, interpreted from Landsat TM images in 2000. The possible effects of geographic factors including elevation, slope and aspect on GRC and CV for three main vegetation types (cropland, forest and steppe) were analyzed. The results indicate that the average NDVI values during the 9-year study period for steppe, forest and cropland were 0.26, 0.41 and 0.32, respectively; while the GRC was 0.008, 0.042 and 0.033 per decade, respectively; and CVs were 10.2, 4.8 and 7.1%, respectively. Cropland and steppe shared a similar trend in NDVI variation, with both decreasing initially and then increasing over the study period. The forest YMNDVI increased throughout the study period. The GRCs of the forest also increased, although GRCs for cropland and steppe decreased with increasing elevation. The GRCs of cropland and steppe increased with increasing slope, but the forest GRCs were not as closely related to slope. All three vegetation types exhibited the same effects in that the GRC was larger on north-facing (shady) slopes than south-facing slopes due to differences in water conditions. The CVs of the three vegetation types showed different features to the GRC. The CVs for all three vegetation types were not affected by aspect. The CVs for forest and cropland showed minor effects with changes in elevation and slope, but the CV for steppe decreased with increasing slope, and increased with increasing elevations to 1,200 m, before decreasing at higher elevations. Our findings suggest that the role of geographic factors in controlling GRC should also be considered alongside climate factors.     

Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data

The Three-North Shelter Forest Programme (TNSFP) covers 551 Chinese counties and an area of 4,069,000 km² mostly in arid and semi-arid regions. In this paper, we discuss the temporal and spatial changes in value of the normalized-difference vegetation index (NDVI) in this region, and the relationships between NDVI and climatic factors (temperature and precipitation) based on NOAA Advanced Very High Resolution Radiometer Global Inventory Modeling and Mapping Studies NDVI data with 8-km resolution from 1982 to 2006. During the past 25 years, the vegetation cover has generally increased in eastern regions of China and the oasis in the north piedmont of Tianshan Mountains, but has decreased northwest of Xinjiang and in the Hulunbeier Plateau. The multi-year monthly average NDVI distribution map showed that NDVI increased from April to August, but in the western and northern plateau areas, the lower temperatures and high altitude created a shorter growing season (1 or 2 months). The vegetation of the study area has generally increased in the regions covered by the TNSFP. Linear regression analysis of the vegetation cover showed an increasing trend over large areas. The largest annual growth rate per pixel (the slope of the regression) was 0.009; the largest negative annual change was −0.004. The correlation between NDVI and precipitation was higher than that between NDVI and temperature, suggesting that precipitation is the most important factor that affects NDVI changes in the study area, especially for temperate desert vegetation in northwestern China.     

中国北方风沙沉积物气候代用指标对比研究

在浑善达克沙地和巴丹吉林沙漠各选择近NS走向的大断面采集表层样品,用筛析法对样品进行粒度分析,用Eijkelkamp碳酸钙测定仪测定其碳酸钙含量。两地沙质沉积物的粒度参数对比结果显示,巴丹吉林沙漠沙总体上比浑善达克沙地沙粗,分选性比浑善达克沙地沙好,同时在粒度分布频率曲线上表现出明显的双峰,这应与其地处冬夏季风交替地带、冬季风和夏季风搬运营力上的差别有关。巴丹吉林沙漠和浑善达克沙地沙质沉积物粒度参数上的差别反映了两地不同的风动力条件和下垫面性质。浑善达克沙地的沙粒较细在一定程度上也与该地区较湿润条件下的成土作用有关。气候差异应是导致两地沙质沉积物粒度参数区别的主导因素。碳酸钙测量结果说明,浑善达克沙地的碳酸钙含量明显低于巴丹吉林沙漠。巴丹吉林沙漠沙的碳酸钙含量从北往南呈增加趋势,与该地区年降水量的南北方向变化相一致。从对这两个地区沙质沉积物的碳酸钙含量对比中可以看出,即使在干旱背景下,当多年平均降雨量达到一定临界值时,地表碳酸钙含量将达到一最大值,随后则呈降低趋势     

The influence of water conveyances on restoration of vegetation to the lower reaches of Tarim River

Because of long-term stream-flow cut off in the lower reaches of Tarim River, environmental degradation has become the most severe and widespread environmental problem in Tarim River basin. Nine ecological water conveyances to the lower reaches of Tarim River made ecological environment change a lot. 3S technology was used to monitor dynamic change of ecology. However, remote sensing area index cannot analyze ecological restoration degree of Tarim River precisely because the time of each water conveyance is short, the change of vegetation area is not obvious, and there exists visual interpretation error. In this paper, remote monitoring datum of high temporal resolution and high spatial resolution were used to research the relationships between normalized difference vegetation index (NDVI) and the groundwater depth, between NDVI and the surface vegetation coverage, and between the groundwater depth and the surface vegetation coverage. The growth and restoration of the vegetation in different periods were evaluated by investigative analysis of the change trend of NDVI. The conception of relative restoration degree was proposed and the response of vegetation restoration to the water conveyance was evaluated. The evaluation result suggests that: first, the response of vegetation to the water conveyance concentrates within 1,000 m of both riversides, and the range of influence becomes smaller along the lower reaches of Tarim River. Second, influenced by the groundwater recharge, the vegetation coverage shows decreasing trend with the increase of off-river distance. Third, the vegetation coverage shows decreasing trend along the watercourse influenced by the water consumption. Finally, in spatial, original scattered meadow of low coverage transforms to high coverage gradually in research region. Vegetation response to the water conveyance expands to both sides with the watercourse being the axis, and expanding scale increases continuously.     

1981-2006年西北干旱区NDVI时空分布变化对水热条件的响应

气候是植被变化的重要驱动因子. 利用1981-2006年GIMMS归一化植被指数（NDVI）时间序列数据,结合68个气象站降水、气温数据和DEM地形数据等资料,研究分析了西北干旱区植被活动的年、季变化和空间差异. 结果显示：在1981-2006年的26 a,西北干旱区植被的覆盖率增加了4.5%,年平均NDVI增加了3.2%;植被的生长季延长,主要表现在生长季的推迟. 从总体来说,植被覆盖率、生长季和NDVI值在2000年以前显著增加,而在2000年以后都呈现减小的趋势;其中,减少明显的区域是在伊犁河谷、中天山及平原区,在河流上游山区或源头以及部分河流两岸呈现增加态势;在年际变化上,大部分区域的气温、降水与NDVI相关性不强. 而年平均气温在4.58 ℃以下低温区和年降水在180 mm以上的相对湿润区,气温和降水都呈现正相关;在季节变化上,NDVI值在春季和秋季与温度相关显著,而夏季与降水相关性强. 2000年以后,植被覆盖率和NDVI值开始出现降低趋势与气温持续升高、降水量增幅下降有关.     

中国东北样带NDVI的季节变化及其与气候因子的关系

NDVI是研究大尺度生态学问题一个非常有用的指数,它可以为估价全球植被动态模型提供足够的信息.中国东北样带是全球变化研究中首选样带之一,本文分析了分辨率为1km×1km的NDVI年内季节变化的两个特征值:年均NDVI(NDVI-I)和NDVI年内极差(NDVI-MM)在样带内5种不同植被类型间的变化及其与年平均气温和降水量之间的相关关系.结果表明,NDVI具有明显的季节变化格局,NDVI-I和NDVI-MM由东到西均呈下降趋势,NDVI-I与降水量具有显著的线性回归关系,降水量能够解释NDVI-I和NDVI-MM空间变异的绝大部分.这一结果说明NDVI反映了植被沿环境梯度的时空变化格局,可用于监测样带植被对气候变化的响应.     

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

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。     

Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series

The relationship between climate change and vegetation dynamics in the southwestern karst region of China has been identified by recent studies. Based on previous researches and AVHRR (Advanced Very High Resolution Radiometer) GIMMS (Global Inventory Monitoring and Modeling Studies) NDVI (Normalized Difference Vegetation Index) (1982–2003) and AVHRR GloPEM (Global Production Efficiency Model) NPP (Net Primary Production) (1981–2000) datasets, vegetation dynamics impacted by climate change in the southwestern karst region of China were assessed. The results show that: (1) since the early 1980s, both vegetation cover density and net primary production have insignificant ascending tendencies. However, the inter-annual variation rates of vegetation indexes have apparent spatial differentiations; (2) the correlation coefficients between the inter-annual variations of vegetation indexes and the inter-annual variations of climate factors vary geographically; (3) as indicated by NDVI and NPP, various vegetation types have different responses to climate change, and the annual mean temperature variation has more significant impact on vegetation dynamics than the annual precipitation variation in the study area; (4) distribution laws of correlation coefficients between the inter-annual variations of vegetation indexes and the inter-annual variations of climate factors in different climate conditions are apparent. All these findings will enrich our knowledge of the natural forces which impact the stability of the karst ecosystems and provide scientific basis for the management of the karst ecosystems.     

Research on Temporal and Spatial Variation Characteristics of Vegetation Cover in Qilian Mountains from 1982 to 2006

Based on GIMMS NDVI data of Qilian Mountains region during 1982-2006, using the maximum synthesis, mean method, slope analysis and correlation analysis, the spatial and temporal changes of vegetation cover and its correlations with climatic factors were studied in Qilian Mountains. The results showed that: ①Vegetation NDVI of Qilian Mountains increases from west to east in general, showing the distribution pattern of much more vegetation in east regions than in west regions; ②Vegetation NDVI of Qilian Mountains has generally increased in the past twenty five years, but there are obvious spatial differences, especially vegetation NDVI of middle and east regions increase obviously; ③There have been obvious differences on spatial variation of seasonal NDVI in the past twenty five years in Qilian Mountains, and the increased area of vegetation NDVI is the largest in summer, followed by autumn, spring, but the most reduced area of vegetation NDVI is in winter. The regions of increased vegetation NDVI concentrate on southern mountain of Qinghai Province and in Buha River Basin, while the regions of reduced vegetation NDVI concentrate on Wushaoling, Lenglongling and Daban mountain in each season; ④The correlations between monthly average vegetation NDVI and temperature and precipitation are very significant, which indicates that temperature and precipitation are the main factors affecting the change of vegetation NDVI in Qilian Mountains, but intensive human activities are also important factors affecting the change of vegetation NDVI in some areas.     

利用“3S”技术检测我国北方气候变化的植被响应

本文利用“3S”技术,结合气象观测资料,发现反映区域植被覆盖特征的遥感植被指数变化基本上与器测温度和降水变化相一致,显示出我国北方植被对气候短尺度变化响应敏感。荒漠化总体加剧深受气候变化的影响,人类活动起着相对加强或削弱的作用。