Spatial patterns of Pinus tabulaeformis and Pinus massoniana forests in Qinling-Daba Mountains and the boundary of subtropical and warm temperate zones

The Qinling Mountains is not only the geographical boundary between North and South China,but also the boundary between subtropical and warm temperate zones.It plays an important role in the geo-ecological pattern of China.However,there is controversy about the specific location of this geographical boundary in academic community due to the complexity,transition and heterogeneity of the transitional zone,as well as the differences in the delimitation indicators and research purposes.To further reveal the characteristics of the North-South transitional zone and clarify the specific location of the geo-ecological boundary between North and South China,combined with SRTM topographic data,temperature and precipitation data,Pinus massoniana forest and Pinus tabulaeformis forest,which represent subtropical coniferous forest in South China and temperate coniferous forest in North China respectively,were chosen to analyze their spatial distributions in the Qinling-Daba Mountains and the climatic conditions at their boundary with the climatic indexes of annual precipitation,the coldest month(January) average temperature,the warmest month(July) average temperature and the annual average temperature.The results show that:(1) Pinus massoniana and Pinus tabulaeformis forests and the climate indicators of their boundary can be used as one of the vegetation-climate indexes for the delimitation of subtropical and warm temperate zones.The boundary between the subtropical coniferous forest(Pinus massoniana forest) and temperate coniferous forest(Pinus tabulaeformis forest) is located along the south slope of Funiu Mountain to the north edge of Hanzhong Basin(the south slope of Qinling Mountains) at an altitude of 1000–1200 m,where the climatic indictors are stable:the annual precipitation is about 750–1000 mm,the annual average temperature is about 12–14℃,the coldest monthly average temperature is 0–4℃,and the warmest monthly average temperature is about 22–26℃.(2) It can be more scientifically to delimitate the boundary of subtropical and warm temperate zones in China by comprehensively considering the vegetation-climate indicators.Additionally,the boundary between subtropical and warm temperate zones in Qinling-Daba Mountains should be a transitional zone consisting of the boundaries of coniferous forests,broad-leaved forests and shrubs between subtropical and warm temperate zones.The results provide a scientific basis for the selection of delimitation index of subtropical and warm temperate zones.     

Soil erosion and management on the Loess Plateau

1 Introduction The Loess Plateau situated in northern China covers the drainage basins in the middle reaches of the Yellow River. It starts from the western piedmont of Taihang Mountains in the east, reaches the eastern slope of the Wushao and Riyue mountains, connects the northern part of the Qinling Mountains in the south and borders the Great Wall in the north, covering an area of about 380,000 km2 (Figure 1). The region is overlain extensively by Quaternary loess in great thickness, …     

秦岭黄淮平原交界带自然地理特征

The features of physical geography in the transitional region between Qinling Mountains and Huanghuai Plain possess transitional characters evidently in two directions： one is from the western mountain to the eastern plain and the other is from southern subtropical zone to northern temperate zone. Torrential rain, especially strong torrential rain is frequent in the transitional region, and there are many torrential rain centers. A majority of torrential rain is distributed among 100-200 m asl. The winter temperature at 100-400 m asl is higher than that in Huanghuai Plain whose altitude is lower than that of the transitional region, and the highest temperature in January appears at 350-400 m asl.The thickness of warm slope belt in the transitional region varies from 100 m to 250 m asl. The formation of torrential rain and warm slope belt is the result of joint action of atmospheric circulation and local terrain. Frequent torrential rains and warm slope belt had tremendous influences on the soil properties, plant distribution and local climate in the transitional region.     

Sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics on the northern and southern slopes of the Qinling Mountains in Shaanxi province

The Qinling Mountains, located at the junction of warm temperate and subtropical zones, serve as the boundary between north and south China. Exploring the sensitivity of the response of vegetation there to hydrothermal dynamics elucidates the dynamics and mechanisms of the main vegetation types in the context of changes in temperature and moisture. Importance should be attached to changes in vegetation in different climate zones. To reveal the sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics, the spatio-temporal variation characteristics of the normalized vegetation index(NDVI) and the standardized precipitation evapotranspiration index(SPEI) on the northern and southern slopes of the Qinling Mountains from 2000 to 2018 are explored using the meteorological data of 32 meteorological stations and the MODIS NDVI datasets. The results show that: 1) The overall vegetation coverage of the Qinling Mountains improved significantly from 2000 to 2018. The NDVI rise rate and area ratio on the southern slope were higher than those on the northern slope, and the vegetation on the southern slope improved more than that on the northern slope. The Qinling Mountains showed an insignificant humidification trend. The humidification rate and humidification area of the northern slope were greater than those on the southern slope. 2) Vegetation on the northern slope of the Qinling Mountains was more sensitive to hydrothermal dynamics than that on the southern slope. Vegetation was most sensitive to hydrothermal dynamics from March to June on the northern slope, and from March to May(spring) on the southern slope. The vegetation on the northern and southern slopes was mainly affected by hydrothermal dynamics on a scale of 3–7 months, responding weakly to hydrothermal dynamics on a scale of 11–12 months. 3) Some 90.34% of NDVI and SPEI was positively correlated in the Qinling Mountains. Spring humidification in most parts of the study area promoted the growth of vegetation all the year round. The sensitivity of vegetation responses to hydrothermal dynamics with increasing altitude increased first and then decreased. Elevations of 800 to 1200 m were the most sensitive range for vegetation response to hydrothermal dynamics. The sensitivity of the vegetation response at elevations of 1200–3000 m decreased with increasing altitude. As regards to vegetation type, grass was most sensitive to hydrothermal dynamics on both the northern and southern slopes of the Qinling Mountains; but most other vegetation types on the northern slope were more sensitive to hydrothermal dynamics than those on the southern slope.     

豫西伏牛山地森林植被对水热条件变化的响应研究(英文)

This paper uses HJ-1 satellite multi-spectral and multi-temporal data to extract forest vegetation information in the Funiu Mountain region. The S-G filtering algorithm was employed to reconstruct the MODIS EVI(Enhanced Vegetation Index) time-series data for the period of 2000–2013, and these data were correlated with air temperature and precipitation data to explore the responses of forest vegetation to hydrothermal conditions. The results showed that:(1) the Funiu Mountain region has relatively high and increasing forest coverage with an average EVI of 0.48 over the study period, and the EVI first shows a decreasing trend with increased elevation below 200 m, then an increasing trend from 200–1700 m, and finally a decreasing trend above 1700 m. However, obvious differences could be identified in the responses of different forest vegetation types to climate change. Broad-leaf deciduous forest, being the dominant forest type in the region, had the most significant EVI increase.(2) Temperature in the region showed an increasing trend over the 14 years of the study with an anomaly increasing rate of 0.27℃/10a; a fluctuating yet increasing trend could be identified for the precipitation anomaly percentage.(3) Among all vegetation types, the evergreen broad-leaf forest has the closest EVI-temperature correlation, whereas the mixed evergreen and deciduous forest has the weakest. Almost all forest types showed a weak negative EVI-precipitation correlation, except the mixed evergreen and deciduous forest with a weak positive correlation.(4) There is a slight delay in forest vegetation responses to air temperature and precipitation, with half a month only for limited areas of the mixed evergreen and deciduous forest.     

历史及未来气候变化下中国潜在植被NPP的脆弱性研究（英文）

Using the Integrated Biosphere Simulator, a dynamic vegetation model, this study initially simulated the net primary productivity(NPP) dynamics of China's potential vegetation in the past 55 years(1961–2015) and in the future 35 years(2016–2050). Then, taking the NPP of the potential vegetation in average climate conditions during 1986–2005 as the basis for evaluation, this study examined whether the potential vegetation adapts to climate change or not. Meanwhile, the degree of inadaptability was evaluated. Finally, the NPP vulnerability of the potential vegetation was evaluated by synthesizing the frequency and degrees of inadaptability to climate change. In the past 55 years, the NPP of desert ecosystems in the south of the Tianshan Mountains and grassland ecosystems in the north of China and in western Tibetan Plateau was prone to the effect of climate change. The NPP of most forest ecosystems was not prone to the influence of climate change. The low NPP vulnerability to climate change of the evergreen broad-leaved and coniferous forests was observed. Furthermore, the NPP of the desert ecosystems in the north of the Tianshan Mountains and grassland ecosystems in the central and eastern Tibetan Plateau also had low vulnerability to climate change. In the next 35 years, the NPP vulnerability to climate change would reduce the forest–steppe in the Songliao Plain, the deciduous broad-leaved forests in the warm temperate zone, and the alpine steppe in the central and western Tibetan Plateau. The NPP vulnerability would significantly increase of the temperate desert in the Junggar Basin and the alpine desert in the Kunlun Mountains. The NPP vulnerability of the subtropical evergreen broad-leaved forests would also increase. The area of the regions with increased vulnerability would account for 27.5% of China.     

NOTE ON PHYSIOGRAPHY OF NORTHERN SZECHUAN AND SOUTHERN KANSU

The Present paper is an outcome of a trip to Northern Szechuan and Southern Kansu in July-October, 1941. Briefly speaking, the region under consideration is limited by Lanehow on thc north, Nuikiang on the south and Lintan and Hanchung on the west and east, comprising about six degrees of latitude amd four degrees of longitude.     

The spatio-temporal variations of frost-free period in China from 1951 to 2012

The frost-free period(FFP)first frost date(FFD) and last frost date(LFD) have been regard as the important climate variables for agricultural production. Understanding the spatio-temporal variations of the FFPFFD and LFD is beneficial to reduce the harmful impacts of climate change on agricultural production and enhance the agricultural adaptation. This study examined daily minimum temperatures for 823 national-level meteorological stationscalculated the values of FFDLFD and FFP for station-specific and region-specific from 1951 to 2012estimated the gradients of linear regression for station-specific moving averages of FFDLFD and FFPand assessed station-specific time series of FFP and detected the abrupt change. The results as follows: at both the station level and the regional levelthe FFP across China decreases with the increase of latitude from south to northand with the increase of altitude from east to west generally. At the station levelthe inter-annual fluctuations of FFDLFD and FFP in south and west agricultural regions are greater than those in north and east. At the regional levelexcluding the QT regiontemporal changes of FFP are relatively small in both the low-latitude and the high-latitude regionsbut for the mid-latitude regions. According to the linear trend gradients of the moving average values of station-specific FFDLFD and FFPFFD was delayedLFD advancedand FFP extended gradually over the 80% of China. Furthermorethe change magnitudes for FFDLFD and FFP in the north and east agricultural regions are higher than that in the southern and western. Among the 659 station-specific time series of FFP examined by the Mann-Kendall test341 stationslocated mainly in the north regionhave one identifiable and significant abrupt change. And at the 341 stations with identified abrupt changesmost(57%) abrupt changes occurred during 1991–2012followed by the periods of 1981–1990(28%)1971–1980(12%)and 1951–1970(3%). The spatio-temporal variations of FFDLFD and FFP would provide important guidance to agricultural practices.     

1960-2009年横断山区潜在蒸发量时空变化(英文)

Based on the meteorological data of 20 stations in the Hengduan Mountains region during 1961-2009, the annual and seasonal variation of potential evapotranspiration was analyzed in combination with the Penman-Monteith model. With the method of Spline interpolation under ArcGIS, the spatial distribution of potential evapotranspiration was presented to research the regional difference, and the correlation analysis was used to discuss the dominant factor affecting the potential evapotranspiration. The results indicated that the an-nual potential evapotranspiration showed a decreasing tendency since the 1960s, especially from the 1980s to 1990s, while it showed an increasing tendency since 2000. Regional potential evapotranspiration showed a rate of -0.17 mm a?1. Potential evapotranspiration in north, middle and south of the Hengduan Mountains exhibited decreasing trends over the studied period, and its regional trend was on the decline from southwest to northeast.     

Spatial identification and scenario simulation of the ecological transition zones under the climate change in China

Explicitly identifying the spatial distribution of ecological transition zones(ETZs) and simulating their response to climate scenarios is of significance in understanding the response and feedback of ecosystems to global climate change. In this study, a quantitative spatial identification method was developed to assess ETZ distribution in terms of the improved Holdridge life zone(iHLZ) model. Based on climate observations collected from 782 weather stations in China in the T0(1981–2010) period, and the Intergovernmental Panel on Climate Change Coupled Model Intercomparison Project(IPCC CMIP5) RCP2.6, RCP4.5, and RCP8.5 climate scenario data in the T1(2011–2040), T2(2041–2070), and T3(2071–2100) periods, the spatial distribution of ETZs and their response to climate scenarios in China were simulated in the four periods of T0, T1, T2, and T3. Additionally, a spatial shift of mean center model was developed to quantitatively calculate the shift direction and distance of each ETZ type during the periods from T0 to T3. The simulated results revealed 41 ETZ types in China, accounting for 18% of the whole land area. Cold temperate grassland/humid forest and warm temperate arid forest(564,238.5 km~2), cold temperate humid forest and warm temperate arid/humid forest(566,549.75 km~2), and north humid/humid forest and cold temperate humid forest(525,750.25 km~2) were the main ETZ types, accounting for 35% of the total ETZ area in China. Between 2010 and 2100, the area of cold temperate desert shrub and warm temperate desert shrub/thorn steppe ETZs were projected to increase at a rate of 4% per decade, which represented an increase of 3604.2, 10063.1, and 17,242 km~2 per decade under the RCP2.6, RCP4.5, and RCP8.5 scenarios, respectively. The cold ETZ was projected to transform to the warm humid ETZ in the future. The average shift distance of the mean center in the north wet forest and cold temperate desert shrub/thorn grassland ETZs was generally larger than that of other ETZs, with the mean center moving to the northeast and the shift distance being more than 150 km during the periods from T0 to T3.In addition, with a gradual increase of temperature and precipitation, the ETZs in northern China displayed a shifting northward trend, while the area of ETZs in southern China decreased gradually, and their mean center moved to high-altitude areas. The effects of climate change on ETZs presented an increasing trend in China, especially in the Qinghai-Tibet Plateau.     

秦巴山地垂直带谱结构的空间分异与暖温带—亚热带界线问题

秦巴山地垂直带谱结构的空间分异对于揭示秦巴山地地域结构复杂性和过渡性、探索中国复杂的生态地理格局具有重要的意义。本文从文献中搜集了秦巴山地33个山地垂直带谱,建立了秦巴山地数字垂直带谱体系,从纬向、经向和坡向3个维度分析了山地垂直带谱的结构、特征、数量、高度以及分布模式。结果表明：① 纬向上从南向北基带由亚热带常绿阔叶林带逐渐转变为暖温带落叶阔叶林带;垂直带结构由复杂逐渐变得简单;优势带由山地针阔混交林和山地常绿落叶阔叶混交林转变为山地落叶阔叶林带;② 经向上山地垂直带结构呈现复杂—简单—复杂的特征;常绿落叶阔叶混交林带和山地落叶阔叶林带的海拔呈现了二次曲线分布模式;山地针阔混交林带的海拔则呈现显著的线性降低趋势;③ 坡向方面,秦岭北坡和南坡基带均为暖温带落叶阔叶林带,但南坡含有常绿成分;大巴山北坡为亚热带常绿落叶阔叶混交林带,大巴山南坡为亚热带常绿阔叶林带;秦岭和大巴山北坡优势带类似,均为山地针阔混交林带或山地落叶阔叶林带,但大巴山南坡具有独特的山地常绿落叶阔叶混交林优势带,这表明了大巴山比秦岭更适合作为暖温带和北亚热带的分界线,但是未来还需使用土壤和气候指标进行系统的分析。     

秦岭中部山地落叶阔叶林超级垂直带的发现与意义

山地垂直带谱是气候和植被水平地带变化和更替的缩影,垂直带的带幅、带间过渡方式、带内结构和垂直带组合方式都表现出高度的异质性和复杂性。本文发现在中国南北过渡带中部太白山发育了世界上最宽的山地垂直带——山地落叶阔叶林垂直带。该垂直带从基带到典型垂直带再到先锋性垂直带皆为山地落叶阔叶林,3种本来可以独立存在的垂直带,连续分布形成了包含3个栎林亚带、2个桦林亚带的“三层五亚带”超级垂直带,远远超过正常情况下山地垂直带1000 m的阈值,且其上限达到了海拔2800 m。它的形成与秦岭所处的过渡性地理位置、秦岭中部垂直带谱的完整性、丰富的落叶木本植物种群及其形成的强大群落竞争优势等因素紧密相关。超级垂直带的发现有多方面的意义：它是中国南北过渡带又一重要的标志性自然地理特征;它表明山地垂直带在特殊的山地环境中可以具有非常复杂的内部结构和宽大带幅,这扩展了我们对山地垂直带谱结构及机理认识的广度,对于创建山地垂直带谱结构理论具有十分重要的意义;超级垂直带的发现,也说明中国南北过渡带还有很多科学内容有待我们去探索和发现,希望本文能起到抛砖引玉的作用,引起学界对超级垂直带形成的气候和生物多样性因素、地理过渡带的结构和生态效应等重大问题进行深入研究。     

中国南北过渡带土壤碳氮空间特征及暖温带与亚热带界限

秦巴山区是中国南北过渡带的主体,过渡带分界划分在学界一直存在争议,确定和改进划分指标对构建中国生态地理格局有重要作用。土壤作为过渡带的核心部分,其关键指标的空间分布及变异机制对识别过渡效应和区域特征有指示作用。本文基于土壤二普资料,采用空间模拟和地统计方法分析土壤有机碳/全氮空间特征及与主要自然地理要素的关系。结果显示,秦巴山区有机碳/全氮含量空间分布趋势一致,存在3个高值区、1个次高值区和1个低值区。高值区分布在秦岭、大巴山高海拔区域和嘉陵江以西山地,含量分别为15.03~71.04 g/kg、1782.61~7710.00 mg/kg;低值区沿秦岭北坡的渭河谷地、南五台山和伏牛山分布,含量分别为0.64~6.50 g/kg、110.00~885.96 mg/kg;次高值区主要在汉江两侧、秦巴山地之间海拔< 1000 m及嘉陵江两侧略高于1000 m的山体,含量介于以上二者之间,自西向东呈南北向宽幅逐渐增大的“喇叭状”趋势。综合考虑地形—植被—气候作用,发现秦岭南坡—大巴山北坡有机碳/全氮次高值区分布范围与1000 m等高线、暖温带落叶阔叶林带（含常绿成分）和亚热带常绿落叶阔叶混交林带上限、1月0 ℃等温线、7月24 ℃等温线较一致,区内1月、7月、季节和全年气温变化较小,各季降雨变幅大,该区是亚热带向暖温带过渡的主体,北界大致沿都江堰—茂县—平武—文县和秦岭南坡1000 m等高线分布,南以都江堰—北川—青川和大巴山北坡1000 m等高线为界。有机碳/全氮空间变化为亚热带—暖温带的划界提供一定依据,进一步识别典型区土壤过程及生态效应,将全面揭示土壤多维过渡特征及其变异机理。     

中国矮曲林的分布特征及生态意义

矮曲林是山地森林带在严酷的自然环境影响下发展演化而成的特殊植物群落,对中国山地植被和垂直带的研究具有重要的地理和生态意义。本文选择20世纪30年代以来在国内外文献中发表的52个矮曲林数据,结合Worldclim气候数据等,对中国矮曲林的类型和分布及其相应的气候条件进行了研究。结果表明：①中国的矮曲林主要包括山顶苔藓矮曲林、寒温性偃松矮曲林和岳桦矮曲林3类;其中,山顶苔藓矮曲林主要分布于秦巴山区以南的山地,而偃松矮曲林和岳桦矮曲林主要分布于东北地区。②山顶苔藓矮曲林主要由亚热带、热带地区的常绿阔叶林在山顶或山脊受山顶效应等的影响演化而来;而寒温性矮曲林主要由寒温性针叶林或针阔混交林在山顶或山脊条件下长期演化而来。山顶苔藓矮曲林自东向西随地势升高,其分布的海拔高度也逐渐升高;寒温性偃松矮曲林和岳桦矮曲林分布高度自南向北逐渐降低。③矮曲林分布在气候林线以下的山地,其气候条件足以支撑山地森林的发育,但由于山顶效应的存在(如强风、气候干冷或湿冷及土壤贫瘠等),只能发育矮曲林而非垂直地带性的山地森林。④中国东南部的很多山地高度小于3000 m,山顶效应明显,矮曲林广泛发育,造成了假林线的普遍存在。     

秦巴山区马尾松林和油松林的空间分布及亚热带与暖温带界线划分

秦岭不仅是中国南北的地理分界线,也是中国亚热带和暖温带的气候分界线,在中国地理生态格局中占有重要的地位和作用。由于过渡带的复杂性、过渡性和异质性以及划分指标、研究目的的不同,学术界关于这一南北地理—生态分界线的具体位置一直有争论。为了进一步揭示秦巴山区过渡带的特征,明确中国南北地理—生态分界线的位置,本文选择马尾松（Pinus massoniana）林和油松（Pinus tabulaeformis）林这两类分别代表中国南方亚热带针叶林和北方温带针叶林的植被,结合研究区SRTM地形数据、气温和降水数据等,以年降水、最冷月（1月）气温、最热月（7月）气温和年均温为气候指标,详细分析了这两类植被在秦巴山区的空间分布及二者分界线处的气候条件。结果表明：① 马尾松林和油松林的分界线及相应位置的气候指标可以作为亚热带与暖温带界线划分的植被—气候指标之一。秦巴山区亚热带针叶林（马尾松林）与温带针叶林（油松林）的分界线位于伏牛山南坡至汉中盆地北缘一线（秦岭南坡）海拔1000~1200 m处;分界线处气候指标稳定：年降水750~1000 mm,年均温12~14 ℃,最冷月气温0~4 ℃,最热月气温22~26 ℃。② 通过综合的植被—气候指标来划分秦巴山区亚热带和暖温带的界线,能更科学地确定气候带分界线的位置及过渡带的特征,更全面地反映地表植被—气候格局的变化。此外,秦巴山区亚热带与暖温带的界线应该是由亚热带与暖温带针叶林分界线、阔叶林分界线、灌丛分界线等组成的一个过渡带。本文的研究结果为亚热带与暖温带划分指标的选取提供了一定的科学依据。     

North-south vegetation transition in the eastern Qinling-Daba Mountains

The Qinling-Daba Mountains are the main body of China's North-South Transitional Zone.Analysis of the north-south gradual variation of vegetation components is significant for understanding the structural diversity and complexity of this transitional zone.In this study,based on survey data of plant communities,the eastern Qinling-Daba Mountains is divided into four geographic units:the north flank of eastern Qinling Mts.,south flank of eastern Qinling Mts.,north flank of eastern Daba Mts.and south flank of eastern Daba Mts.We also explore division of regional climate according to areal differentiation of plant-species,com-munity structure and species-richness,respectively.The results show that,(1)at plant-species level,there are mainly northern plants in north flank of eastern Qinling Mts.with evergreen species and fewer northern plants in south flank of eastern Qinling Mts.;there are mainly southern plants in eastern Daba Mts.(2)At community structure level,there are 4 formations(3 northern formations and 1 widespread formation)in north flank of eastern Qinling,6 formations(3 northern formations,1 southern formation,and 2 widespread forma-tions)in south flank of eastern Qinling,4 formations(2 southern formations and 2 widespread formations)in north flank of eastern Daba Mts.,and 3 formations(3 southern formations)in south flank of eastern Daba Mts.In terms of the numbers and properties of formations,there is a mixture of northern and southern formations only in the south flank of eastern Qinling Mts.(3)At species-richness level,the diversity of families,genera and species decreased with increasing latitude,but the mixing of northern plants and the southern plants began to occur in south flank of eastern Qinling Mts.This means that the south flank of the eastern Qinling Mts.serves more suitably as the dividing line between China's warm temperate and sub-tropical zones.     

基于遥感监测的秦岭南北积雪日数时空变化及影响因素

以海拔依赖型变暖为理论基础,研究山地积雪对气候变暖的响应机制,是当前气候变化研究的热点问题。基于2000—2019年MODIS积雪物候数据,对秦岭南北积雪日数时空变化进行分析,探讨了秋冬两季厄尔尼诺指数（NINO）、青藏高原气压对积雪异常的影响。结果表明：(1) 2013年后秦岭南北气候由“变暖停滞”转为“增温回升”,积雪日数随之呈现转折下降,积雪日数≥10 d栅格占比由前期的35.1%下降为8.6%。(2)在垂直地带规律上,秦岭山地以1950～2000 m为临界点,大巴山区以1600～1650 m为临界点,低海拔地区积雪日数随海拔增加速率要低于高海拔地区。2100～3150 m海拔带是积雪日数的垂直变化的关键带;(3)在影响因素上,NINO C区、NINO Z区秋冬海温和青藏高原冬季高压,是秦岭山地、汉江谷地和大巴山区积雪异常的有效指示信号。当赤道太平洋中部秋冬海温偏低,且青藏高原冬季高压偏低时,上述3个子区积雪日数异常偏多。(4)在环流机制方面,相对于积雪日数偏少年,秦岭南北积雪日数偏多年1—2月0℃等温线位置偏南,低温环境为增加冰雪物质积累、延缓冰雪消融提供了气温条件;1月区域存...     

天山数字垂直带谱体系与研究

对6个全国性山地垂直带谱体系进行评述。认为区域性的数字垂直带谱的详细研究也是建立中国山地垂直带信息图谱的重要一环。只有通过这样的工作，才能进一步发现问题和解决问题，才能逐步趋于完成山地垂直带谱集大成的工作。分析了天山垂直带谱形成的因素，建立了包括北坡、南坡、西部伊犁谷地、天山腹地(巴音布鲁克盆地)的天山数字垂直带谱体系，分析了各垂直带的特点，总结了垂直带谱的区域分异规律。     

横断山区垂直带谱的分布模式与坡向效应

根据收集到的横断山区山地垂直带谱数据,对山地垂直带的坡向效应和空间分布规律进行了分析和研究.结果表明:1)主要的垂直带和垂直带界线如林线、暗针叶林带、雪线等的纬度和经度地带性分布规律明显并且分布模式都相似,纬向上呈开口向下的二次曲线分布模式,经向上呈开口向上的二次曲线分布模式,两者共同形成"双曲抛物面"分布模式,充分反映了横断山区的环境与生态的复杂性和独特性,也进一步丰富和发展了山地垂直带谱的二次曲线假说; 2)横断山区山地垂直带谱表现出明显的基于水分驱动的坡向效应,主要表现为同一山体的东、西坡往往具有不同的基带和带谱结构,相同类型的带谱出现的海拔和分布范围不同,迎风坡表现出较为湿润的类型和带谱结构,而背风坡则表现出更为干旱的类型和组成结构;横断山区的坡向效应主要是由于山体对当地盛行季风的影响,造成迎风坡和背风坡水热条件相差很大,从而发育不同的山地垂直带谱类型.从横断山区山地垂直带谱的空间分布规律来看, 28°～29°N、98°～101°E范围内,即大致在澜沧江以东-雅砻江以西,山地垂直带谱普遍表现出干热的特点,为横断山区干热气候的核心地带.但如何定量分析山地的坡向效应尚有待于进一步的研究和讨论.此外、数据质量和数据误差也对分析的结果,尤其是空间分布模式的数学模拟结果产生一定的影响,在以后的研究中尚需进一步完善.     

基于山地垂直带谱的秦岭土地利用空间分异

为揭示秦岭山地垂直带与土地利用之间的相互关系,文章基于2000年夏季卫星遥感影象和1∶25万DEM数据,采用目视解译的方式提取出秦岭南北坡的土地利用类型。将垂直带与土地利用进行叠加分析得出:秦岭山地林地占44.83%,草地占35.93%,耕地占18.42%。土地利用在垂直带上地空间分异显著,由基带往上耕地的比例呈指数关系减少,林地呈正抛物线变化,草地则与林地相反。在秦岭南北坡同一垂直带土地利用上也有明显的变化,特别体现在栓皮栎林带、锐齿栎林以及冷杉林带上。