三江源地区土壤侵蚀特点

三江源地区地域辽阔,土壤侵蚀复杂多样.近年来土壤侵蚀加剧,生态环境严重退化.以2000年土壤侵蚀调查的数据成果为基数.并与更新后的2005年数据成果比较,进行土壤侵蚀动态变化分析.对三江源地区不同类型土壤侵蚀区的土壤侵蚀现状做了较全面的分区评价.同时对作为典型区域的黄河源头区12个县的2000年1:10万Landsat 5 TIM假彩色合成影像,通过野外调查建它解译标志来分析该区植被覆盖状况,对该区典型区域的土壤侵蚀现状做了定量评价.根据评价结果,对三江源地区土壤侵蚀的发展趋势做了预测.     

三江源地区植被指数下降趋势的空间特征及其地理背景

利用8km分辨率的Pathfinder NOAA/AVHRR-NDVI数据,结合1km分辨率的DEM,1 ∶ 250000道路、居民点、水系数据以及野外调查数据,分析了植被指数变化总体态势、植被指数变化与海拔及与距道路、水源和居民点距离之间的关系,探讨了三江源区1981~2001年间植被指数变化趋势和空间分异特征。结果表明:①三江源地区植被指数变化以下降趋势为主,下降区域占源区总面积的18.92%,增加区域占13.99%;②不同植被和冻土类型下的植被指数下降特征:灌丛区和森林区下降率最高,下降率与各类型区的居民点密度、生计方式有关;植被指数下降程度与冻土类型关系不明显;③植被指数下降的区域差异明显:下降率各区域分别为长江源区13.56%、黄河源区32.51%和澜沧江源区18.1%;④植被指数下降率随着距道路、河流的距离增加而逐渐减小;下降率在距居民点18~24km的缓冲带上达到最高后随着距离增大而下降;植被指数下降率随着海拔高程的升高呈"低－高－低－高"态势,下降率与居民点的分布高度相关。     

三江源区MODIS植被指数时空分布特征

利用16天合成的250m分辨率的MODIS数据,对三江源区NDVI和EVI植被指数时空分布特征进行了系统性的研究。结果表明：NDVI和EVI空间分布呈现出由东南向西北逐步下降的趋势。植被指数随季节呈现出规律变化,最高值出现在8月。不同海拔高度两种植被指数对植被覆盖情况的指示作用比较一致。植被类型的NDVI与EVI的差异...     

1970–2020年三江源地区景观格局演变及其对生态旅游发展的启示（英文）

三江源地区景观格局在过去50年发生了较大变化,但较少有研究分析这种变化对当地生态旅游的影响。本研究在已有文献与遥感数据的基础上,运用空间统计与文献分析方法,分析了三江源地区草地、湿地、荒漠与森林景观空间格局在1970–2020年间的演变及其驱动因素,并探究其对当地生态旅游发展的影响。结果表明,2020年三江源地区草地、湿地、沙漠与森林景观面积占其总面积的89.7%。其中,草地景观的分布最广（71.95%）,其次是湿地与荒漠,森林景观面积较小。1970–2020年,在气候变化与人类活动的影响下,4类景观的总面积占比增加了5.01%。草地景观面积增幅最大,其次为湿地景观。相反,森林景观的占比下降了0.83%,荒漠景观的占比下降了2.79%。从17个县域单元来看,各县域单元之间在景观结构上具有高度相似性,并且这种相似性在1970–2020年间并未发生较大变化。这表明各县域单元之间具有较高的生态旅游资源同质性,为生态旅游的差异化发展带来一定挑战。     

1971-2010年三江源地区干湿状况变化的空间特征

 依据1971-2010年地面观测气象数据,计算了三江源地区湿润指数。利用经验正交函数分解（EOF）和偏相关系数,对近40 a三江源地区干湿状况变化的时空特征及其影响因素进行了分析。结果表明:三江源地区干湿状况的变化在其北部与南部、东部与西部间存在明显反相位变化特征。北部和东部的部分区域分别在20世纪90年代和21世纪后表现出气候湿润化趋势,其余大部地区的持续干旱化趋势始于20世纪80年代初,其中南部与西部变干趋势显著,其湿润指数线性趋势率达到-8%/10 a。虽然三江源地区干湿状况主要决定于降水量和相对湿度的变化,但20世纪90年代中期后气温的显著上升,使得气温也成为关键的影响因子之一,即使在降水明显增加的背景下,也引起三江源主体区域湿润指数的明显下降。气候变暖情景下,北部和东部地区在近十几年暖湿化趋势明显,其余大部地区表现为不同程度的暖干化趋势。     

青海三江源地区近50年来的气温变化

利用青海三江源地区12个气象站1961-2010年月气温资料及滑动平均、线性倾向估计、样条函数插值、Mann-Kendal检验等方法对气温变化的分析结果表明:(1)青海三江源地区及3个源区年、四季平均气温出现多次冷暖波动过程,但在统计意义上均呈显著增温趋势,2001年以后增温明显.其中,春、夏、秋季和全年平均气温从20...     

青海省三江源地区湿地生态系统健康评价

湿地生态系统健康评价是湿地保护的基础,对提高湿地生态环境管理水平具有重要的指导作用.以青海省三江源地区为研究区,采用Landsat ETM+遥感影像为主要数据源,提取湿地信息.基于压力—状态—响应(PSR)模型,构建三江源地区湿地健康的综合评价指标体系;运用层次分析法和地理信息系统空间分析技术,对三江源地区的湿地健康状...     

2001—2020年三江源地区积雪日数变化及地形分异

基于积雪面积逐日无云遥感产品和气象观测资料,分析了2001—2020年三江源地区积雪日数的水平、垂直分布特征及变化规律,并对积雪日数与气温和降水量进行了相关分析。结果表明：（1） 2001—2020年三江源地区积雪日数呈西高东低,高海拔山脉大于盆地平原的分布格局,高海拔山脉地区积雪日数均值普遍大于200 d,85.48%的区域积雪日数呈波动增加趋势,显著增加区域占比为16.59%,平均增加速率为0.98 d·a^-1。（2） 积雪日数及其变化趋势存在明显的海拔和坡向分异,积雪日数随海拔上升呈指数型增加,较低海拔（<3.0 km）区域积雪日数少、呈减少趋势且减少速率随海拔高度上升而加快;高海拔区域积雪日数较多且呈增多趋势,但海拔大于4.4 km后积雪日数增多速率随海拔上升而减缓,且5.5~6.0 km地区积雪日数呈减少趋势,高海拔地区积雪日数存在一定程度的“海拔依赖性”。积雪日数北坡大于南坡、西坡大于东坡,西北坡积雪日数最多,为78.30 d,不同坡向的积雪日数均呈增多趋势,其中西坡的增多速率最快,达1.04 d·a^-1。（3） 近20 a三江源地区明显的“暖湿化”气候特征是影响积雪日数变化的主要原因,其中降水量是主要驱动因素,积雪日数增多与降水量增加密切相关,且高海拔地区积雪日数对降水量的依赖性更强。     

三江源地区各类生态系统土壤的 性状及其形成能力

土壤形成是MA框架下生态系统支持功能的基本内容。运用GIS空间分析功能,测算了青海三江源区生态系统支持功能,结果表明:①源区土壤形成和生态系统支持功能呈从东南向西北降低的趋势;②源区各生态系统土壤形成的支持功能具有湿地生态系统>森林和草地生态系统>农田生态系统>荒漠和裸土地及裸岩石砾地的特点;③源区各生态系统支持功能具有从湿地生态系统、森林生态系统、草地生态系统、农田生态系统到荒漠和裸土地及裸岩石砾地依次降低的趋势;④草地生态系统退化诱导草地土壤形成功能的退化,进而驱使草地生态系统支持功能的降低;⑤强度人为干扰造成生态系统土壤各种性状向退化方向发展,土壤形成及生态系统支持功能下降。结果有助于丰富人们从土壤形成视角,对生态系统支持功能的理解和认识。     

近30年来青海三江源地区草地退化的时空特征

在20 世纪70 年代中后期MSS 图像、90 年代初期TM 图像和2004 年TM/ETM 图像支 持下, 通过三期遥感影像的直接对比分析, 获得了三江源地区草地退化空间数据集, 并在此 基础上分析了70 年代以来青海三江源地区草地退化的主要时空特征。结果表明: 三江源地区 草地退化是一个在空间格局上影响范围大, 在时间过程上持续时间长的连续变化过程。研究 发现, 三江源草地退化的格局在70 年代中后期已基本形成, 70 年代中后期至今, 草地的退 化过程一直在继续发生, 总体上不存在90 年代至今的草地退化急剧加强现象。草地退化的过 程在不同区域和地带有明显不同的表现, 如在湿润半湿润地带的草甸类草地上, 发生着草地 破碎化先导, 随后发生覆盖度持续降低, 最后形成黑土滩的退化过程; 在干旱、半干旱地带 的草原类草地上, 发生着覆盖度持续降低, 最后形成沙地和荒漠化草地的退化过程。三江源 地区草地退化具有明显的区域差异, 草地退化可以分为7 个区, 各区草地退化在类型、程度、 范围与时间过程方面具有明显不同的特点。     

Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River Headwaters Region during 2000-2011

The Three-River Headwaters Region (TRHR),which is the source area of the Yangtze River,Yellow River,and Lancang River,is of key importance to the ecological security of China. Because of climate changes and human activities,ecological degradation occurred in this region. Therefore,"The nature reserve of Three-River Source Regions" was established,and "The project of ecological protection and construction for the Three-River Headwaters Nature Reserve" was implemented by the Chinese government. This study,based on MODIS-NDVI and climate data,aims to analyze the spatiotemporal changes in vegetation coverage and its driving factors in the TRHR between 2000 and 2011,from three dimensions. Linear regression,Hurst index analysis,and partial correlation analysis were employed. The results showed the following:(1) In the past 12 years (2000-2011),the NDVI of the study area increased,with a linear tendency being 1.2%/10a,of which the Yangtze and Yellow River source regions presented an increasing trend,while the Lancang River source region showed a decreasing trend. (2) Vegetation coverage presented an obvious spatial difference in the TRHR,and the NDVI frequency was featured by a bimodal structure. (3) The area with improved vegetation coverage was larger than the degraded area,being 64.06% and 35.94%,respectively during the study period,and presented an increasing trend in the north and a decreasing trend in the south. (4) The reverse characteristics of vegetation coverage change are significant. In the future,degradation trends will be mainly found in the Yangtze River Basin and to the north of the Yellow River,while areas with improving trends are mainly distributed in the Lancang River Basin. (5) The response of vegetation coverage to precipitation and potential evapotranspiration has a time lag,while there is no such lag in the case of temperature. (6) The increased vegetation coverage is mainly attributed to the warm-wet climate change and the implementation of the ecological protection project.     

土壤厚度的空间插值方法比较——以青海三江源地区为例

利用青海三江源地区533个土壤剖面中的厚度数据, 在GIS技术的支持下, 采用确定性内插(反距离加权、全局多项式、局部多项式和径向基函数)和地统计内插(普通克里格、简单克里格、泛克里格和协同克里格)两类共八种插值方法对研究区土壤厚度的空间分布进行了预测, 并综合比较了各种插值方法的预测误差、统计特征值和插值结果分布图。结果表明:(1)在地统计内插方法中, 普通克里格方法(一阶)插值效果比普通克里格方法(二阶)要好;在普通克里格方法(一阶)的半方差函数模型中, 球状模型的插值效果优于指数模型和高斯模型;普通克里格方法在四种地统计内插方法中预测误差最小、预测结果准确性最好。(2)确定性内插方法中, 反距离加权(指数为1)法的误差较小, 并且对区域与局部趋势的反映效果最好。(3)从预测误差大小和对区域总体及局部趋势的综合反映效果来看, 有异向性的球状模型普通克里格(一阶)插值方法预测结果最能准确反映青海三江源地区土壤厚度的空间分布。     

Livestock-carrying capacity and overgrazing status of alpine grassland in the Three-RiverHeadwaters region,China简

The Three-River Headwaters region in China is an ecological barrier providing en- vironmental protection and regional sustainable development for the mid-stream and down- stream areas, which also plays an important role in animal husbandry in China. This study estimated the grassland yield in the Three-River Headwaters region based on MODIS NPP data, and calculated the proper livestock-carrying capacity of the grassland. We analyzed the overgrazing number and its spatial distribution characteristics through data comparison be- tween actual and proper livestock-carrying capacity. The results showed the following： （1） total grassland yield （hay） in the Three-River Headwaters region was 10.96 million tons in 2010 with an average grassland yield of 465.70 kg/hm2 （the spatial distribution presents a decreasing trend from the east and southeast to the west and northwest in turn）; （2） the proper livestock-carrying capacity in the Three-River Headwaters region is 12.19 million sheep units （hereafter described as ＂SU＂）, and the average stocking capacity is 51.27 SU [the proper carrying capacity is above 100 SU/km2 in the eastern counties, 60 SU/km2 in the cen- tral counties （except Madoi County）, and 30 SU/km2 in the western counties]; and （3） total overgrazing number was 6.52 million SU in the Three-River Headwaters region in 2010, with an average overgrazing ratio of 67.88% and an average overgrazing number of 27.43 SU/km2 A higher overgrazing ratio occurred in Tongde, Xinghai, Yushu, Henan and Z~kog. There was no overgrazing in Zhiduo, Tanggula Township and Darlag, Qumerleb and Madoi. The re- mainder of the counties had varying degrees of overgrazing.     

30年来青海三江源生态系统格局和空间结构动态变化

在多期遥感图像支持下,通过对生态系统类型进行辨识,获得了三江源地区生态系统类型空间分布数据集,并在此基础上分析了20世纪70年代中后期以来青海三江源地区生态系统格局和空间结构的动态变化。结果表明:30年来三江源地区生态系统格局稳定少动,生态系统类型变化相对缓慢,农田、森林、草地、水体与湿地和荒漠生态系统的年变化速率均小于0.5%,是长江、黄河流域乃至全国各区域生态系统转类变幅最小的稳定少动区。20世纪70年代中后期以来三江源地区生态系统类型的转变主要发生在草地和水体与湿地生态系统上,草地生态系统的变化主要发生在中部和东部地区,水体与湿地生态系统的变化主要发生在广大西部和北部地区。     

The Bowen Ratio of an Alpine Grassland in Three-River Headwaters,Qinghai-Tibet Plateau,from 2001 to 2018

The Bowen ratio (β) is used to quantify heat transfer from the land surface into the air, which is becoming a hot topic in research on the biogeophysical effects of land use and cover changes. The Three-River Headwaters (TRH), as a sensitive and fragile region, was selected as the study area. The β for 2001-2018 was estimated from the evapotranspiration product (ET_MOD16) of MODIS and the net radiation of the land surface through the albedo from GLASS. The ET_MOD16 data were evaluated against the observation data (ET_OBS) at two alpine grassland flux towers obtained from ChinaFLUX. The interannual trend of the β was analyzed by multiple linear regression (MLR) and structure model (SEM) with the multiple factors of precipitation, temperature, humidity, albedo, and normalized difference vegetation index (NDVI, MOD09Q1). The results show that the ET_MOD16 values were significantly correlated with ET_OBS, with a correlation coefficient above 0.70 (P < 0.01) for the two sites. In 2001-2018, the regional mean β was 2.52 ± 0.77 for the whole grassland, and its spatial distribution gradually increased from the eastern to western region. The interannual β showed a downward trend with a slope of -0.025 and a multiple regression coefficient (R ²) of 0.21 (P = 0.056). Most of the variability (51%) in the interannual β can be explained by the linear regression of the above multiple factors, and the temperature plays a dominant role for the whole region. The SEM analysis further shows that an increasing NDVI results in a decreasing albedo with a path coefficient of -0.57, because the albedo was negatively correlated with NDVI (R ² = 0.52, P < 0.01), which indicates a negative and indirect effect on β from vegetation restoration. An obvious warming climate was found to prompt more evapotranspiration, and restoring vegetation makes the land surface receive more radiation, which both resulted in a decreasing trend in the annual β. This study revealed the biogeophysical mechanisms of vegetation restoration under a changing climate, and demonstrated the Bowen ratio can be applied as an indicator of climate-regulating functions in ecosystem assessments.     

三江源区草地生态系统综合评估指标体系

基于联合国新千年全球生态系统评估 (MA)概念框架,提出了系统完整的三江源区草地生态系统评估指标体系,包括生态系统结构、支持功能、调节功能和供给功能的4大类15个一级指标、75个二级指标。针对位于青藏高原东部江河源区的草地生态系统的区域特点和人类对其功能的需求分析 ,设计了以土地覆盖结构和草地退化结构为核心的生态系统结构指标群;以初级生产力为核心的支持功能指标群;以水、碳调节为核心的调节功能指标群,以及以水供给和草地承载力为核心的供给功能指标群。在该指标体系中,设计了草地退化遥感分类系统,以实现年代际时间尺度草地生态系统退化过程的动态分析评估;提出了退化草地态势遥感分类系统,以实现大型生态工程实施后年际时间尺度草地生态系统退化态势的分析和评估。     

三江源地区1961-2010年降水时空变化(英文)

Based on a monthly dataset of precipitation time series (1961-2010) from 12 meteorological stations across the Three-River Headwater Region (THRHR) of Qinghai Province, China, the spatio-temporal variation and abrupt change analysis of precipitation were examined by using moving average, linear regression, spline interpolation, the Mann-Kendall test and so on. Major conclusions were as follows. (1) The long-term annual and seasonal precipitation in the study area indicated an increasing trend with some oscillations during 1961-2010; however, the summer precipitation in the Lantsang (Lancang) River Headwater Region (LARHR), and the autumn precipitation in the Yangtze River Headwater Region (YERHR) of the THRHR decreased in the same period. (2) The amount of annual precipitation in the THRHR and its three sub-headwater regions was greater in the 1980s and 2000s. The springs were fairly wet after the 1970s, while the summers were relatively wet in the 1960s, 1980s and 2000s. In addition, the amount of precipitation in the autumn was greater in the 1970s and 1980s, but it was relatively less for the winter precipitation, except in the 1990s. (3) The normal values of spring, summer, winter and annual precipitation in the THRHR and its three sub-headwater regions all increased, but the normal value of summer precipitation in the LARHR had a negative trend and the normal value of winter precipitation declined in general. (4) The spring and winter precipitation increased in most of the THRHR. The summer, autumn and annual precipitation increased mainly in the marginal area of the west and north and decreased in the regions of Yushu, Zaduo, Jiuzhi and Banma. (5) The spring and winter precipitation in the THRHR and its three sub-headwater regions showed an abrupt change, except for the spring precipitation in the YARHR. The abrupt changes of spring precipitation were mainly in the late 1980s and early 1990s, while the abrupt changes of winter precipitation were primary in the mid-to late 1970s. This research would be helpful for further understanding the trends and periodicity of precipitation and for watershed-based water resource management in the THRHR.     

三江源气候变化及其对径流的驱动分析

以1965-2004 年三江源地区12 个气象台站的降水和气温资料以及长江源区直门达、黄河源区唐乃亥和澜沧江源区昌都水文站的径流资料为基础,分析三江源地区的降水、气温和径流的变化趋势,并采用Mann-Kendall-Sneyers 方法进行趋势显著性检验;采用Makkink 公式计算三江源区12 个气象站点的潜在蒸发,建立三江源区降水和潜在蒸发对径流的驱动模型,并对气候变化(降水和气温的变化) 对径流的驱动进行情景分析。研究表明：1965-2004 年三江源区气温升高,径流减少,并且气温和径流都在1994 年发生突变,但降水的变化趋势不明显。降水和潜在蒸发对径流深的驱动模型表明三江源区降水对径流起正向的驱动作用,潜在蒸发对径流起负向的驱动作用,具体来说,澜沧江源区潜在蒸发对径流的驱动力最大,长江源区次之,黄河源区最小。借助驱动模型对三江源气候变化(降水和气温的变化) 对径流的影响进行情景分析,结果显示,降水和气温对径流的驱动在总体上虽然分别是正、负方向上的驱动,但在具体情景下其各自的驱动作用又呈现出波动的特征。