八宝河流域土壤温度波动的时空分异

The Babao River Basin is the "water tower" of the Heihe River Basin.The combination of vulnerable ecosystems and inhospitable natural environments substantially restricts the existence of humans and the sustainable development of society and environment in the Heihe River Basin.Soil temperature(ST) is a critical soil variable that could affect a series of physical,chemical and biological soil processes,which is the guarantee of water conservation and vegetation growth in this region.To measure the temporal variation and spatial pattern of ST fluctuation in the Babao River Basin,fluctuation of ST at various depths were analyzed with ST data at depths of 4,10 and 20 cm using classical statistical methods and permutation entropy.The study results show the following: 1) There are variations of ST at different depths,although ST followed an obvious seasonal law.ST at shallower depths is higher than at deeper depths in summer,and vice versa in winter.The difference of ST between different depths is close to zero when ST is near 5℃ in March or –5℃ in September.2) In spring,ST at the shallower depths becomes higher than at deeper depths as soon as ST is above –5℃;this is reversed in autumn when ST is below 5℃.ST at a soil depth of 4 cm is the first to change,followed by ST at 10 and 20 cm,and the time that ST reaches the same level is delayed for 10–15 days.In chilling and warming seasons,September and February are,respectively,the months when ST at various depths are similar.3) The average PE values of ST for 17 sites at 4 cm are 0.765 in spring > 0.764 in summer > 0.735 in autumn > 0.723 in winter,which implies the complicated degree of fluctuations of ST.4) For the variation of ST at different depths,it appears that Max,Ranges,Average and the Standard Deviation of ST decrease by depth increments in soil.Surface soil is more complicated because ST fluctuation at shallower depths is more pronounced and random.The average PE value of ST for 17sites are 0.863 at a depth of 4 cm > 0.818 at 10 cm > 0.744 at 20 cm.5) For the variation of ST at different elevations,it appears that Max,Ranges,Average,Standard Deviation and ST fluctuation decrease with increasing elevation at the same soil depth.And with the increase of elevation,the decrease rates of Max,Range,Average,Standard Deviation at 4 cm are –0.89℃/100 m,–0.94℃/100 m,–0.43℃/100 m,and –0.25℃/100 m,respectively.In addition,this correlation decreased with the increase of soil depth.6) Significant correlation between PE values of ST at depths of 4,10 and 20 cm can easily be found.This finding implies that temperature can easily be transmitted within soil at depths between 4 and 20 cm.7) For the variation of ST on shady slope and sunny slope sides,it appears that the PE values of ST at 4,10 and 20 cm for 8 sites located on shady slope side are 0.868,0.824 and 0.776,respectively,whereas they are 0.858,0.810 and 0.716 for 9 sites located on sunny slope side.     

我国耕地土壤相对湿度时空分异（英文）

Based on the data of relative soil moisture in 653 agricultural meteorological stations during the period of 1993-2013 in China, the characteristics and regularity of spatial and temporal variation of relative soil moisture in China's farmland were analyzed and discussed using geostatistical methods. The results showed that the relative soil moisture of China's farmland has shown a fluctuant increasing trend since 1993. The relative soil moisture of China's farmland is more than 60% in general, its distribution area has been expanded northward and westward with the summer monsoon since mid-April and began to shrink eastward and southward in late October. The value of relative soil moisture increases with the increase of soil depth. On an interannual scale, the relative soil moisture of farmland increased fastest in summer and autumn, and its variation range decreased with the increase of soil depth. The relative soil moisture was positively correlated with precipitation, and negatively correlated with potential evaporation and temperature. The correlation between relative soil moisture and various meteorological factors weakened as soil depth increased. The meteorological factors have a great influence on relative soil moisture of dry land in spring, summer and autumn and they also have a greater impact on relative soil moisture of paddy fields in winter.     

埃塞俄比亚安达萨河流域地表温度和归一化植被指数时空变化分析（英文）

本文分析了植被动态与地表温度等气候参数之间的关系,对环境和生态研究以及自然资源监测至关重要。本文首先利用Landsat数据探讨了1986年至2016年期间安达萨河流域地表温度(LST)和归一化植被指数(NDVI)的时空分布以及它们之间的关系,三个气象站点的月平均气温数据用于验证结果。该研究的结果表明,Andassa流域的LST在研究期间有所增加。总体而言,平均LST一直在上升,年增长率为0.081℃yr~(-1)。该研究结果还表明,所有季节的流域植被覆盖都发生了变化。在所有研究年份中,LST和NDVI之间存在负相关;从1986年到2016年,研究区植被具有退化趋势,地表温度有所升高。     

淮河生态经济带高质量发展的时空分异趋势与归因（英文）

淮河流域经济是典型的大流域经济之一,推动其生态保护与高质量发展是提升中国经济发展质量、缩小区域发展差距的战略选择,对于新时代区域乃至国家的发展具有深远的战略价值。基于流域生态保护与经济高质量发展的理论内涵,从淮河生态经济带的特殊性与实践特征出发,以2003-2018年淮河生态经济带28个地级市面板数据为研究样本,运用改进熵权法、Dagum基尼系数法及面板Tobit模型,考察分析其生态保护与高质量发展水平的时空演变特征与提升驱动因素。结果表明,淮河生态经济带总体生态保护与高质量发展水平均值1.4824,总体呈现上升趋势,阶段性波动明显;高值区主要分布在流域内的下、中游城市,具有“双核引领”的空间集聚特征,而上游城市始终处于“低水平稳定增长陷阱”阶段;超变密度是引致区域差距的主要原因;人均产出、对外开放、人力资本和政府干预驱动生态保护与高质量发展水平的提升,上、中、下游城市生态保护与高质量发展水平的驱动因素存在显著差异性。探究淮河生态经济带的发展现状及其演进规律,对于分析城市生态保护与高质量发展的协同提升路径、促进淮河全流域生态保护与经济高质量发展,具有重要的理论意义和现实价值。     

城市群地区创业风险投资的时空分异规律及影响因素分析（英文）

Under China's innovation-driven development strategy, venture capital has become an important driving force in urban agglomeration integration and collaborative innovation. This paper uses social network analysis to analyze spatiotemporal differences of venture capital in the Beijing-Tianjin-Hebei urban agglomeration for the period 2005–2015. A gravity model and panel data regression model are used to reveal the influencing factors on spatiotemporal differences in venture capital in the region. This study finds that there is a certain cyclical fluctuation and uneven differentiation in the venture capital network in the Beijing-Tianjin-Hebei urban agglomeration in terms of total investment, and that the three centers of venture capital(Beijing, Shijiazhuang and Tangshan) have a stimulatory effect on surrounding cities; flows of venture capital between cities display certain networking rules, but they are slow to develop and strongly centripetal; there is a strong positive correlation between levels of information infrastructure development and economic development and venture capital investment; and places with relatively underdeveloped financial environments and service industries are less able to apply the fruits of innovation and entrepreneurship and to attract funds. This study can act as a reference for the Beijing-Tianjin-Hebei urban agglomeration in building a world-class super urban agglomeration with the best innovation capabilities in China.     

典型山地生态系统服务权衡与协同关系的时空分异研究（英文）

山地占中国国土面积比重高,是我国破解区域发展不平衡矛盾的焦点区域,也是生态系统服务重要供给区,长期面临着经济发展和生态保护的双重压力与挑战。研究选取我国石漠化山地、新构造运动活跃区山地和北方土石山区的典型区域黔桂岩溶山地、横断山地和太行山地为案例,以支持服务中NPP (Net Primary Productivity)、调节类服务水源涵养和供给类服务农产品供给三类生态系统服务为代表,采用线性回归、相关分析等方法探讨了1990–2015年三大山地生态系统服务权衡与协同关系的时空特征。主要结论如下:(1)三大山地农产品供给服务相对下降,NPP和水文调节等支持和调节服务提升更为显著;(2)三大山地NPP与水文调节服务存在彼此增益的协同关系,黔桂岩溶山地协同关系增强,而横断山地和太行山地变弱,且前者变弱的程度更大;三大山地NPP、水文调节服务与农产品供给服务存在此消彼长的权衡关系,其中黔桂岩溶山地NPP与农产品供给服务权衡关系变弱,而横断山地和太行山地权衡关系增强,且后者变强的程度更大;(3)三大山地生态系统服务权衡与协同关系存在显著的空间分异。     

基于地理探测器的北京市地表反照率时空分异及其驱动因素研究（英文）

地表反照率直接影响着辐射平衡和地表热收支,是地球-大气系统研究中的关键因子。本文研究了2015年北京市地表反照率的时空分布特征,并基于地理探测器定量分析了地表反照率空间分异的驱动因素及其交互作用。结果表明:北京市地表反照率呈东南高、西北低的趋势;冬季变化最大,春季变化最小;年地表反照率最小值出现在秋季,最大值出现在冬季,具有显著的时空异质性。土地覆盖类型、NDVI、高程、坡度、温度和降水对地表反照率的空间分异均有显著影响,影响力分别为0.537、0.625、0.512、0.531、0.515和0.190;且一些驱动因素对反照率空间分布的影响存在显著差异。任意两种驱动因素之间均存在交互作用,表现出双变量增强的结果。其中,地表覆盖类型与NDVI的交互作用最大,影响力为0.710,而温度与降水的交互作用最弱,影响力为0.531。研究结果为了解北京市地表反照率的时空分布特征以及区域气候和陆面模式中能量模块的物理过程提供了科学依据。     

杰赫勒姆河流域跨境区域日气象数据质量控制与同质化（英文）

Many studies such as climate variability, climate change, trend analysis, hydrological designs, agriculture decision-making etc. require long-term homogeneous datasets. Since homogeneous climate data is not available for climate analysis in Pakistan and India, the present study emphases on an extensive quality control and homogenization of daily maximum temperature, minimum temperature and precipitation data in the Jhelum River basin, Pakistan and India. A combination of different quality control methods and relative homogeneity tests were applied to achieve the objective of the study. To check the improvement after homogenization, correlation coefficients between the test and reference series calculated before and after the homogenization process were compared with each other. It was found that about 0.59%, 0.78% and 0.023% of the total data values are detected as outliers in maximum temperature, minimum temperature and precipitation data, respectively. About 32% of maximum temperature, 50% of minimum temperature and 7% of precipitation time series were inhomogeneous, in the Jhelum River basin. After the quality control and homogenization, 1% to 11% improvement was observed in the infected climate variables. This study concludes that precipitation daily time series are fairly homogeneous, except two stations(Naran and Gulmarg), and of a good quality. However, maximum and minimum temperature datasets require an extensive quality control and homogeneity check before using them into climate analysis in the Jhelum River basin.     

气候变化背景下1981-2010年中国玉米物候变化时空分异（英文）

Spatio-temporal changes in the differentiation characteristics of eight consecutive phenological periods and their corresponding lengths were quantitatively analyzed based on long-term phenological observation data from 114 agro-meteorological stations in four maize growing zones in China. Results showed that average air temperature and growing degree-days (GDD) during maize growing seasons showed an increasing trend from 1981 to 2010, while precipitation and sunshine duration showed a decreasing trend. Maize phenology has significantly changed under climate change: spring maize phenology was mainly advanced, especially in northwest and southwest maize zones, while summer and spring-summer maize phenology was delayed. The delay trend observed for summer maize in the northwest maize zone was more pronounced than in the Huang-Huai spring-summer maize zone. Variations in maize phenology changed the corresponding growth stages length: the vegetative growth period (days from sowing date to tasseling date) was generally shortened in spring, summer, and spring-summer maize, although to different degrees, while the reproductive growth period (days from tasseling date to mature date) showed an extension trend. The entire growth period(days from sowing date to mature date) of spring maize was extended, but the entire growth periods of summer and spring-summer maize were shortened.     

中国天山玛纳斯河流域积雪垂直分布及其与温度的关系（英文）

How snow cover changes in response to climate change at different elevations within a mountainous basin is a less investigated question. In this study we focused on the vertical distribution of snow cover and its relation to elevation and temperature within different elevation zones of distinct climatology, taking the mountainous Manasi River Basin of Xinjiang, Northwest China as a case study. Data sources include MODIS 8-day snow product, MODIS land surface temperature(LST) data from 2001 to 2014, and in situ temperature data observed at three hydrological stations from 2001 to 2012. The results show that:(1) the vertical distribution of snow areal extent(SAE) is sensitive to elevation in low(2100 m) and high altitude(3200 m) regions and shows four different seasonal patterns, each pattern is well correspondent to the variation of temperature.(2) The correlation between vertical changes of the SAE and temperature is significant in all seasons except for winter.(3) The correlation between annual changes of the SAE and temperature decreases with increasing elevation, the negative correlation is significant in area below 4000 m.(4) The snow cover days(SCDs) and its long-term change show visible differences in different altitude range.(5) The long-term increasing trend of SCDs and decreasing trend of winter temperature have a strong vertical relation with elevation below 3600 m. The decreasing trend of SCDs is attributed to the increasing trend of summer temperature in the area above 3600 m.     

三工河流域土地利用/覆被变化的现代绿洲演变过程（英文）

This study investigated oasis evolution and the changes of peripheral desert in the Sangong River Basin since the 1950 s by rebuilding seven land cover maps derived from black-and-white aerial photographs(1958, 1968, and 1978), a color-infrared aerial photograph(1987), Landsat Thematic Mapper(TM) imagery(1998), Satellite Pour l'Observation de la Terre(SPOT) imagery(2004), and Landsat Operational Land Imager(OLI) imagery(2014). The results showed that:(1) Since 1950, the oasis consecutively expanded more than four times from an alluvial fan to an alluvial plain, causing the shrinkage of desert landscapes that were dominated by a Haloxylon ammodendron Bunge community(HBC) and a Tamarix chinensis Lour community(TLC). Furthermore, the primary(1958–1968) and final(2004– 2014) stages were the most important periods, during which agricultural land experienced the most rapid expansion during the period 1958–1968, and the built-up area showed the most rapid expansion after the 2000 s.(2) Two basic management modes, a "local mode" formed by the local governments and a "farm management mode" developed by Xinjiang Production and Construction Corps, together promoted oasis evolution under various land-use and landcover(LULC) stages.(3) The evolution of the modern oasis during the 1950s–2004 showed the general features of an arid oasis, while during the period of 2004–2014 it was characterized by a large-scale inter-basin water diversion or the import of new water sources.(4) The oasis expanded at the expense of desert vegetation, resulting in distinct variation in the structure of the desert plant community, which will make it more difficult to protect the desert ecosystem.     

珠江-西江经济带耕地压力的时空分异特征及其影响因素分析（英文）

运用耕地压力指数、变异系数、冷热点分析等方法分析了2008–2017年间珠江–西江经济带县域耕地压力的时空分异格局及其动态变化过程,并运用主成分分析方法对耕地压力影响因素进行测度。研究结果表明：研究期内珠江–西江经济带耕地压力一直处在“高压”状态,耕地压力指数呈持续上升趋势;珠江–西江经济带及各地级市耕地压力指数的变异系数均呈波动上升态势,区域内耕地压力总体空间差异不断扩大,两极分化明显,其中省会城市市辖区所在区域作为城市发展的核心区,同时也是耕地压力最大的区域;珠江–西江经济带耕地压力冷热点空间格局分异明显,其中珠江经济带为主要的热点集聚区,西江经济带则为主要的冷点集聚区;农民收入、固定资产投资、GDP、人口等社会经济因素是影响珠江–西江经济带耕地压力变动的主要驱动因素。除此之外,复种指数、粮食单产水平等耕作生产因素也会对耕地的压力变动产生重要影响。     

内蒙古草原草本植物萌芽期时空变化（英文）

Phenological modeling is not only important for the projection of future changes of certain phenophases but also crucial for systematically studying the spatiotemporal patterns of plant phenology. Based on ground phenological observations, we used two existing temperature-based models and 12 modified models with consideration of precipitation or soil moisture to simulate the bud-burst date(BBD) of four common herbaceous plants—Xanthium sibiricum, Plantago asiatica, Iris lactea and Taraxacum mongolicum—in temperate grasslands in Inner Mongolia. The results showed that(1) increase in temperature promoted the BBD of all species. However, effects of precipitation and soil moisture on BBD varied among species.(2) The modified models predicted the BBD of herbaceous plants with R~2 ranging from 0.17 to 0.41 and RMSE ranging from 9.03 to 11.97 days, better than classical thermal models.(3) The spatiotemporal pattern of BBD during 1980–2015 showed that species with later BBD, e.g. X. sibiricum(mean: day of year 135.30) exhibited an evidently larger spatial difference in BBD(standard deviation: 13.88 days) than the other species. Our findings suggest that influences of temperature and water conditions need to be considered simultaneously in predicting the phenological response of herbaceous plants to climate change.     

张家口市水资源安全风险空间分异研究（英文）

张家口市地处生态脆弱的农牧交错地带,地表水资源匮乏,地下水超采严重,可利用的地表水资源有限。同时,张家口市又处于京津冀协同发展中的水源涵养区,其水资源安全对于整个京津冀至关重要。根据水资源安全风险大小进行水资源分区管理和决策工作意义重大。本文在遵循科学性、可比性、可操作性和数据可获取性原则指导下,构建水资源安全风险评价指标体系,利用层次分析法求取指标权重,采用数理统计和3S技术空间分析获取张家口市基于水资源分区的以县域为单位的多源数据,进行数据归一化处理和加权水资源安全风险评价,结果表明:张家口市水资源安全风险在地貌单元与县域行政尺度上和在流域尺度上分异明显。坝上高风险区面积较大,但高风险极端值在坝下市辖区;流域尺度上水资源安全高风险区分布在内陆河流域和永定河流域,所辖的滦河流域、潮白河流域、大青河流域水资源安全风险值呈现由北向南降低的趋势。坝上偏西偏北区域,"孕灾环境脆弱性"对水资源安全风险的贡献率最大,坝下农区农业用水虽然会挤占其它产业发展和生态用水空间,在水资源禀赋不足的条件下,市辖区城市人口的集聚和工业经济的发展造成的水资源数量短缺和水环境污染所引发的水资源安全风险更大。张家口市水资源安全风险的空间分异研究,可为农牧交错带水资源安全风险分区管理和决策工作提供重要科学参考。     

元代前期省域耕地面积重建（英文）

Reconstructing historical land use and land cover change(LUCC) at the regional scale is an important component of global environmental change studies and of improving global historical land use datasets. By analyzing data in historical documents, including military-oriented cropland(hereafter M-cropland) area, the number of households engaged in M-cropland(hereafter M-household) reclamation, cropland area, and the number of households, we propose a conversion relationship between M-cropland area and cropland area reclaimed by each household. A provincial cropland area estimation method for the Yuan Dynasty is described and used to reconstruct the provincial cropland area for AD1290. Major findings are as follows.(1) Both the M-cropland and cropland areas of each household were high in the north and low in the south during the Yuan Dynasty, which resulted from different natural conditions and planting practices. Based on this observation, the government-allocated M-cropland reclamation area to each household was based on the cropland area reclaimed by each household.(2) The conversion relationship between M-cropland and cropland areas per household showed conversion coefficients of 1.23 and 0.65 for the south and north, respectively.(3) The cropland area in the entire study area in AD1290 was 535.4×106 mu(Chinese area unit, 1 mu=666.7 m~2), 57.8% in the north and 42.2% in the south. The fractional cropland areas for the entire study area, north, and south were 6.8%, 6.6%, and 7.1%, respectively and the per capita cropland areas for the whole study area, north, and south were 6.7, 15.6, and 4.1 mu, respectively.(4) Cropland was mainly distributed in the middle and lower reaches of the Yellow River(including the Fuli area), Huaihe River Basin(including Henan Province), and middle and lower reaches of the Yangtze River(including Jiangzhe, Jiangxi, and Huguang provinces).     

疏勒河流域农业水土资源时空匹配特征分析

水土资源是农业生产最重要的基础性资源,其空间的合理有效配置有利于资源的充分利用和区域可持续发展。以疏勒河流域为研究对象,基于水足迹理论核算流域农业生产水足迹变化规律,采用基尼系数和空间错配模型定量评估研究区2000—2020年农业水土资源的时空匹配动态趋势及其敏感性。结果表明：（1）2000—2020年疏勒河流域农业作物生产水足迹和作物种植面积总体呈波动下降趋势,作物生产水足迹峰值出现在2007、2018年,作物种植面积峰值出现在2009、2018年;流域年均蓝水足迹贡献率达90.9%,且与绿水足迹呈互补关系,表明蓝水是疏勒河流域农业用水的主要来源。（2）农业水土资源的空间匹配程度逐渐提高,总体处于较匹配的状态;蓝、绿水足迹与作物种植面积的空间不匹配程度逐渐得到改善,空间分布中均呈现出中部高、四周低的特点。（3）作物种植面积对作物生产水足迹变化呈中、高度敏感性的地区数量不断增加趋势。     

京津冀干旱时空演变规律分析（英文）

Spatio-temporal patterns of drought from 1961 to 2013 over the Beijing-Tianjin-Hebei(BTH) region of China were analyzed using the Palmer Drought Severity index(PDSI) based on 21 meteorological stations. Overall, changes in the mean-state of drought detected in recent decades were due to decreases in precipitation and potential evapotranspiration. The Empirical Orthogonal Functions(EOF) method was used to decompose drought into spatio-temporal patterns, and the first two EOF modes were analyzed. According to the first leading EOF mode(48.5%), the temporal variability(Principal Components, PC1) was highly positively correlated with annual series of PDSI(r=+0.99). The variance decomposition method was further applied to explain the inter-decadal temporal and spatial variations of drought relative to the total variation. We find that 90% of total variance was explained by time variance, and both total and time variance dramatically decreased from 1982 to 2013. The total variance was consistent with extreme climate events at the inter-decadal scale(r=0.71, p0.01). Comparing the influence of climate change on the annual drought in two different long-term periods characterized by dramatic global warming(P1: 1961–1989 and P2: 1990–2013), we find that temperature sensitivity in the P2 was three times more than that in the P1.     

过去百年尼泊尔耕地时空变化（英文）

In order to advance land use and land cover change(LUCC) research in Nepal, it is essential to reconstruct both the spatiotemporal distribution of agricultural land cover as well as scenarios that can explain these changes at the national and regional levels. Because of rapid population growth, the status of agricultural land in Nepal has changed markedly over the last 100 years. Historical data is used in this study, encompassing soils, populations, climatic variables, and topography. Data were revised to a series of 30 m grid cells utilized for agricultural land suitability and allocation models and were analyzed using a suite of advanced geographical tools. Our reconstructions for the spatiotemporal distribution of agricultural land in Nepal reveal an increasing trend between 1910 and 2010(from 151.2 × 10~2 km~2 to 438.8 × 10~2 km~2). This expanded rate of increase in agricultural land has varied between different eco, physiographic, and altitudinal regions of the country, significantly driven by population changes and policies over the period of this investigation. The historical dataset presented in this paper fills an existing gap in studies of agricultural land change and can be applied to other carbon cycle and climate modeling studies, as well as to impact assessments of agricultural land change in Nepal.     

云南红河流域径流的时空分布变化规律

利用红河流域32个气象站1960-2000年逐月降水、气温、蒸发等实测资料,元江、李仙江和盘龙河1956-2000年径流量资料,使用GIS技术支持以及Kendall检验法、方差分析法、累积距平法,分析云南红河流域径流的时空变化规律,重点探讨径流时空分布变化与红河流域河谷与山脉的"通道-阻隔"作用的关联,得出如下结论:(1)在红河流域河谷与山脉的"通道-阻隔"作用的影响下,降水量和径流深等值线在空间上呈西北-东南向分布,分布模式与河谷/山脉的走向基本一致,并在哀牢山北段和李仙江下游地区形成两个高值区.(2)在多年平均尺度上,红河流域河谷与山脉的"通道-阻隔"作用对径流变化的地域差异影响最大,其次是降雨,对气温则不明显:李仙江的降水量明显大于哀牢山东部的元江和盘龙河区,其降水量变化的相对偏差则小于它们,反映出哀牢山的阻隔效应;三个区的平均气温差别不大,反映出在较大的时间尺度上受该区特殊环境格局的"通道-阻隔"作用不明显;多数降雨、径流和气温特征值及其出现时间的变化,在盘龙河与元江及李仙江都明显不同,反映出红河流域山脉的阻隔作用明显.(3)在区域气候变化及红河流域河谷与山脉"通道-阻隔"作用的叠加影响下,红河流域的径流变化在东西方向上差异明显:沿红河断裂发育的元江流域的径流量表现出上升的趋势,而西部的李仙江和东部的盘龙河径流量呈现出减少的趋势;元江和李仙江的年径流有一个准5年的变化周期,而盘龙河则有一个准8年的变化周期;三个区域的径流量变化表现出不一致的阶段性.     

新疆伊犁河流域气候变化(英文)

In this paper, the monthly precipitation and temperature data collected at 7 stations in the Ili River Basin from 1961 to 2007 were analyzed by means of simple regression analysis, running mean, db6 wavelet function and Mann-Kendall test. This study revealed the characteristics of climate change and abrupt change points of precipitation and temperature during different time scales in the Ili River Basin within the past 50 years. The results showed that the precipitation increased from the mid-1980s until 2000 and has continued to increase at a smaller magnitude since 2000. Over the studied period, the precipitation increased significantly during the summer and winter months. The temperature increased greatly in the late 1980s, and has continued to show an increasing trend from the year 2000 to present. The temperature increases were most significant during the summer, autumn and winter months. In terms of different geographies, the temperature increase was significant during the winter in the plains and hilly regions; the increase was also significant during autumn in the intermontane basins. The climate change trends in the Ili River Basin were consistent with the changing trends of the North Atlantic Oscillation and the plateau monsoon.