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11.
1981-2001年珠穆朗玛峰自然保护区植被变化 总被引：1，自引：0，他引：1
Based on the NOAA AVHRR-NDVI data from 1981 to 2001, the digitalized China Vegetation Map （1：1,000,000）, DEM, temperature and precipitation data, and field investigation, the spatial patterns and vertical characteristics of natural vegetation changes and their influencing factors in the Mt. Qomolangma Nature Reserve have been studied. The results show that： （1） There is remarkable spatial difference of natural vegetation changes in the Mt. Qomolangma Nature Reserve and stability is the most common status. There are 5.04% of the whole area being seriously degraded, 13.19% slightly degraded, 26.39% slightly improved, 0.97% significantly improved and 54.41% keeping stable. The seriously and slightly degraded areas, which mostly lie in the south of the reserve, are along the national boundaries. The areas of improved vegetation lie in the north of the reserve and the south side of the Yarlung Zangbo River. The stable areas lie between the improved and degraded areas. Degradation decreases with elevation. （2） Degeneration in the Mt. Qomolangma Nature Reserve mostly affects shrubs, needle-leaved forests and mixed forests. （3） The temperature change affects the natural vegetation changes spatially while the integration of temperature changes, slopes and aspects affects the natural vegetation change along the altitude gradients. （4） It is the overuse of resources that leads to the vegetation degeneration in some parts of the Mt. Qomolangma Nature Reserve. 相似文献
12.
青藏高原植被覆盖变化与降水关系 总被引：15，自引：6，他引：9
The temporal and spatial changes of NDVI on the Tibetan Plateau, as well as the relationship between NDVI and precipitation, were discussed in this paper, by using 8-km resolution multi-temporal NOAA AVHRR-NDVI data from 1982 to 1999. Monthly maximum NDVI and monthly rainfall were used to analyze the seasonal changes, and annual maximum NDVI, annual effective precipitation and growing season precipitation (from April to August) were used to discuss the interannual changes. The dynamic change of NDVI and the corre- lation coefficients between NDVI and rainfall were computed for each pixel. The results are as follows: (1) The NDVI reached the peak in growing season (from July to September) on the Tibetan Plateau. In the northern and western parts of the plateau, the growing season was very short (about two or three months); but in the southern, vegetation grew almost all the year round. The correlation of monthly maximum NDVI and monthly rainfall varied in different areas. It was weak in the western, northern and southern parts, but strong in the central and eastern parts. (2) The spatial distribution of NDVI interannual dynamic change was different too. The increase areas were mainly distributed in southern Tibet montane shrub-steppe zone, western part of western Sichuan-eastern Tibet montane coniferous forest zone, western part of northern slopes of Kunlun montane desert zone and southeastern part of southern slopes of Himalaya montane evergreen broad-leaved forest zone; the decrease areas were mainly distributed in the Qaidam montane desert zone, the western and northern parts of eastern Qinghai-Qilian montane steppe zone, southern Qinghai high cold meadow steppe zone and Ngari montane desert-steppe and desert zone. The spatial distribution of correlation coeffi- cient between annual effective rainfall and annual maximum NDVI was similar to the growing season rainfall and annual maximum NDVI, and there was good relationship between NDVI and rainfall in the meadow and grassland with medium vegetation cover, and the effect of rainfall on vegetation was small in the forest and desert area. 相似文献
13.
Based on the GIMMS AVHRR NDVI data(8 km spatial resolution) for 1982–2000, the SPOT VEGETATION NDVI data(1 km spatial resolution) for 1998–2009, and observational plant biomass data, the CASA model was used to model changes in alpine grassland net primary production(NPP) on the Tibetan Plateau(TP). This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the promotion of sustainable development of plateau pasture and to the understanding of the function of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors(natural zone, altitude, latitude and longitude), river basin, and county-level administrative area. Data processing was carried out using an ENVI 4.8 platform, while an ArcGIS 9.3 and ANUSPLIN platform was used to conduct the spatial analysis and mapping. The primary results are as follows:(1) The NPP of alpine grassland on the TP gradually decreases from the southeast to the northwest, which corresponds to gradients in precipitation and temperature. From 1982 to 2009, the average annual total NPP in the TP alpine grassland was 177.2×1012gC yr-1(yr represents year), while the average annual NPP was 120.8 gC m-2yr-1.(2) The annual NPP in alpine grassland on the TP fluctuates from year to year but shows an overall positive trend ranging from 114.7 gC m-2yr-1in 1982 to 129.9 gC m-2yr-1in 2009, with an overall increase of 13.3%; 32.56% of the total alpine grassland on the TP showed a significant increase in NPP, while only 5.55% showed a significant decrease over this 28-year period.(3) Spatio-temporal characteristics are an important control on annual NPP in alpine grassland: a) NPP increased in most of the natural zones on the TP, only showing a slight decrease in the Ngari montane desert-steppe and desert zone. The positive trend in NPP in the high-cold shrub-meadow zone, high-cold meadow steppe zone and high-cold steppe zone is more significant than that of the high-cold desert zone; b) with increasing altitude, the percentage area with a positive trend in annual NPP follows a trend of"increasing-stable-decreasing", while the percentage area with a negative trend in annual NPP follows a trend of "decreasing-stable-increasing", with increasing altitude; c) the variation in annual NPP with latitude and longitude co-varies with the vegetation distribution; d) the variation in annual NPP within the major river basins has a generally positive trend, of which the growth in NPP in the Yellow River Basin is most significant. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving. 相似文献
14.
拉萨河流域高寒湿地分布(英文) 总被引：7，自引：1，他引：6
The Lhasa River Basin is one of the typical distribution regions of alpine wetlands on the Tibetan Plateau.It is very important to get a better understanding of the background and characteristics of alpine wetland for monitoring,protection and utilization.Wetland construction and distribution in the basin were analyzed based on multi-source data including field investigation data,CBERS remote sensing data and other thematic data provided by 3S technology.The results are(1) the total area of wetlands is 209,... 相似文献
15.
一种可用于表征土地利用变化水文效应的水文模型探讨--SWAT模型在云州水库流域的应用研究 总被引：14，自引：1，他引：14
基于对SWAT模型的发展和运行流程的概述，以云州水库流域为例，模拟了20世纪80年代土地覆被状况下的1985年的流量过程。从结果来看，云州水库流域日径流模拟值与实测值曲线拟合度较好，其模拟结果的确定性系数为0．79，达到了乙等方案的要求，取得了较好的模拟效果。由此可以看出，SWAT模型在云州水库流域的应用是比较成功的，从而为该流域不同土地利用变化和土地覆被变化(LUCC)下的水文效应研究奠定了较好的基础。 相似文献
16.
基于连续的植被指数（NDVI）、气温和降水数据,提取了1982—2009年青藏高原典型台站邻近区域的植物返青期以及0℃和5℃旬均温始期的时序数据,分析了其时空变化特征,探讨了青藏高原冬、春季的气温、降水变化对植物返青期的影响。结果表明：1) 青藏高原典型台站邻近区域植物返青期多年平均值在东西向和南北向上存在显著差异;1982—2009年间,青藏高原典型台站邻近区域植物返青期整体呈提前趋势。2) 青藏高原典型台站0℃和5℃旬均温始期整体呈提前趋势,5℃旬均温始期提前趋势更为显著。3) 青藏高原植物返青期随着冬、春季气温升高和降水增加而提前。与降水相比,返青期与气温的相关程度更高。冬季气温比春季气温对植物返青期的影响更大。 相似文献
17.
珠穆朗玛峰地区近34年来气候变化 总被引：34，自引：3，他引：31
利用珠穆朗玛峰地区中国境内5个气象站1971~2004年月平均气温、月平均最高、最低气温、月降水资料,采用气候线性趋势分析、滑动平均、低通滤波、累积距平等方法对珠峰地区近34年气候变化的时空分布特征进行了分析。结果表明：(1) 1971~2004年珠峰地区气温呈现出明显的上升趋势,其中海拔最高的定日站增幅最高,且以冬半年非生长季气温增长更为显著;(2) 近34年珠峰地区的变暖要明显早于中国及全球,且升温幅度更大;(3) 珠峰南、北翼降水变化趋势明显不同,北翼4站降水以增加趋势为主,但是总体显著性水平不高,而珠峰南翼的聂拉木降水以减少趋势为主,从90年代初开始降水以较大幅度减少;(4) 与已有研究结果比较发现：珠峰高海拔地区是中国同期升温最显著的区域。设立在海拔5032 m珠峰大本营的世界上海拔最高的无人值守实时自动气象站将会在全球变化监测中发挥重要的作用。 相似文献
18.
青藏高原植被覆盖对水热条件年内变化的响应及其空间特征 总被引：7，自引：0，他引：7
利用1982-2000年NOAA/AVHRR卫星的NDVI数据(时间分辨率旬,空间分辨率8 km×8 km),结合同时期的气温和降水资料,基于时滞互相关方法和GIS工具,分析了青藏高原植被覆盖对水、热条件年内变化的时滞响应及其空间特征。结果如下:①除高寒荒漠、森林外,青藏高原植被NDVI与同期旬均温和旬降水相关性均呈高度正相关。其中,中等覆盖度的植被受水、热影响表现更为强烈。②青藏高原植被NDVI对气温和降水有滞后效应,且滞后水平存在空间差异,高原北部(柴达木盆地、昆仑山北冀)和高原南部植被对降水、和温度的响应比较迟缓,而高原中、东部地区植被对温度和降水的响应比较敏感。③不同植被类型对水热条件的响应程度也存在差异,由高到低依次是草甸、草原、灌丛、高寒垫状植被、荒漠,最后是森林。 相似文献
19.
利用NOAA/AVHRR归一化植被指数（NDVI）及观测气温与再分析地表气温的差值（Observation Minus Reanalysis, OMR）分析了植被覆盖状况对中国地表气温变化的影响.结果表明,地表气温OMR趋势值与NDVI在空间上呈现出显著的负相关关系,植被覆盖状况差（NDVI小于0.1）的区域地表升温较为显著,气温OMR趋势值超过0.2℃/10a,而植被覆盖度高（NDVI大于0.5）的区域气温OMR趋势值则变化不大,甚至出现降温.气温OMR趋势值对植被的季节变化还有着敏感的响应.不同区域植被覆盖状况的差异可能导致中国地表气温变化对全球变暖的响应不同,预测中国未来气候变化需要考虑植被覆盖状况及其动态变化的影响. 相似文献