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.     

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.     

贡嘎山东坡土壤有机质及氮素分布特征

The distribution of soil organic matter (SOM) and nitrogen on Gongga Mountain was studied in this paper. The results showed that the content of SOM and nitrogen (N) of A horizon had an ascending trend with the increase of the elevation. The vegetation types distributed higher than the mixed broad-leaved and coniferous forest have the irregular trends. In the transitional zone vegetation such as mixed trees and treeline, the content of SOM and N is higher than other vegetation types. The distribution of SOM and N of A horizon is dependent on the synthetic effect of climate and vegetation types. The vertical distribution of SOM and N in soil profiles has the similar trends for all kinds of vegetation types, i.e., the content of A horizon is higher than that of the B and C horizons, which is the same to the distribution of dead animal and plant in soil. The soil C:N is between 7 and 25, which is relatively low comparing to the appropriate C:N of 25-30. The ratio of soil carbon to nitrogen (C:N) increases with the increase of the elevation, but its vertical distribution in soil horizons varies with different vegetation types. The N exists in SOM mainly in the form of organic nitrogen, and the soil C:N correlates significantly with SOM.     

东北黑土漫岗区长坡面坡耕地侵蚀产沙沿程变化

Characteristics of soil erosion change along a long slope in the gentle hilly areas in black soil region in Northeast China are discussed. A simplified slope model based on seg-ments was used to analyze the runoff data and soil erosion data observed between 2003 and 2004 over 10 field plots with different slope length in Heshan Farm,Heilongjiang Province. We found that soil erosion rate over long slopes in the black soil region changed alternatively along the slope and creates alternative zones of intensive erosion and week erosion.The exact place of each zone is different for different rainfall conditions. In a year with less and mild precipitation,rill cannot happen within the top 50 m,while in a year with large and inten-sive precipitation,rill can be formed starting even at 15 m from the top of the slope.     

Spatial variation of altitudinal belts as dividing index between warm temperate and subtropical zones in the Qinling-Daba Mountains

To determine the dividing index between warm temperate and subtropical zones based on the spectra of altitudinal belts,this paper collected 33 spectra of altitudinal belts in the Qinling-Daba Mountains from published literatures and then analyzed the structures and the spatial patterns from south to north,from west to east and based on exposure directions.The results show that:1)From south to north,the basal belt gradually changes from subtropical evergreen broadleaf forest to warm temperate deciduous broadleaf forest;the spectra of altitudinal belts change from complex to simple;the dominant belt changes from montane broadleaf-conifer mixed forest and evergreen-deciduous broadleaf mixed forest to deciduous broadleaf forest.2)From west to east,the structures of the altitudinal belt spectra show complexity in the east and west but simplicity in the middle section;the upper limits of both the evergreen-deciduous broadleaf mixed forest belt and montane deciduous broadleaf forest belt present a quadratic curve distribution pattern in the longitudinal direction.However,the upper limit of the montane broadleaf-conifer mixed forest belt exhibits a nearly linear decrease in the west-east direction.3)Both the north and south slopes in the Qinling Mountains have the similar basal belt,whereas it varies greatly between the north and south slopes in the Daba Mountains.Comparably,dominant belts are very similar in the Qinling Mountains and the north slope of the Daba Mountains,but the south slope of the Daba Mountains has its own unique dominant belt:evergreen-deciduous broadleaf mixed forest.This implies that the Daba Mountains are more appropriate than the Qinling Mountains to act as the boundary between subtropical and warm-temperate zones in central China.     

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.     

西北太平洋区域海面变化——过程、特征与预测(英文)

Based on 22 sparse-distributed tide gauge records in the Northwest Pacific Ocean marginal sea, the process, characteristic and prediction of regional sea level change are discussed by the integration of the following methods. Firstly, the regularized EM algorithm (RegEM) and the Multi-taper Spectral Method (MTM) are adopted to interpret their multiscale fluctuation processes and their spatial-temporal variations. Secondly, the orderly cluster method is introduced to classify these tidal stations, and with the consideration of the space adjacent relation, we obtain five sub-regions (the coasts of Bohai Sea-northern Yellow Sea, Yellow Sea-East China Sea along Chinese coast, the East China Sea along Japanese coast, the southern East China Sea and the northwestern South China Sea). Furthermore, the Mean Generation Function (MGF) is explored to predict the medium- and long-term trends of each tide station. Finally, the Principal Component Analysis (PCA) is employed to obtain re-gional-scale sea level change trends, sea level rise rates of the above five sub-regions from 2001 to 2030 are 1.23-1.27 mm/a, 3.30-3.34 mm/a, 2.72-2.76 mm/a, 1.43-1.47 mm/a and 1.13-1.15 mm/a respectively, and the whole region sea level rise rate is between 2.01 mm/a and 2.11 mm/a. The aim of our work is to conduct an integrated research on regional sea level change.     

青藏高原植被覆盖变化与降水关系

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.     

黄土高原作物产量及水土流失地形分异模拟

De-farming slope farmland has been an effective measure in recent years for the improvement of the eco-environment and the mitigation of soil and water loss on the Loess Plateau. This paper, taking the Yangou Basin as a case study and using day-by-day mete- orological data of Yan'an station in 2005, simulated and analyzed the quantitative relation between crop yield, soil and water loss and topographic condition with the aid of WIN-YIELD software. Results show that: 1) topographic gradient has important influence on crop yield. The bigger gradient is, the lower the crop yield. Yields of sorghum and corn decrease by 15.44% and 14.32% respectively at 25° in comparison to the case of 0°. In addition, yields of soya, bean and potato decrease slightly by 5.26%, 4.67% and 3.84%, respectively. The in- fluences of topographic height and slope aspect on crop yield are slight. 2) Under the same topographic condition, different crops' runoff and soil loss show obvious disparity. Topographic gradient has important influence on soil and water loss. In general, the changing trend is that the soil and water loss aggregates with the increase of gradient, and the maximal amount occurs around 20°. The influence of topographic height is slight. Topographic aspect has a certain effect, and the fundamental characteristic is that values are higher at the aspect of south than north. 3) Topographic gradients of 5° and 15° are two important thresholds. The characteristic about soil and water loss with the variation of topographic gradients show that: the slope farmland with gradient less than 5° could remain unchanged, and the slope farm- land more than 15° should be de-farmed as early as possible.     

八宝河流域土壤温度波动的时空分异（英文）

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.     

Study on north boundary of suptropical zone in Funiu Mountain according to soil geochemistry

The boundary between suptropical zone and temperate zone is not only important in physical geography, but also attractive in agricultural production. Seven soil profiles studied in this paper are placed along the southern slope of Funiu Mountain at different heights above sea level. Many compositions and properties of these soils have been determined in laboratory. In this paper, the laws of migration and accumulation of soil materials on the southern slope of Funiu Mountain are discussed first, then the division of the boundary between suptropical zone and temperate zone in this area according to soil geochemistry is discussed with qualitative methods and mathematical classification method in which twelve selected indexes such as Km, Saf, Ba, β, Feo/Fet, Mno/Mnt and so on are used. The result indicates that the boundary between suptropical zone and temperate zone on the southern slope of Funiu Mountain is about 950 m above sea level.     

试从土壤腐殖质组成和性质论伏牛山南侧亚热带北界的划分

本文首先综述前人对伏牛山南侧热带北界划分的研究成果，并指出了产生分歧的原因。然后作者通过对伏牛山中段南坡不同海拔高度七个土壤剖面的野外调查和室内土壤腐殖质组成和性质的分析，选择各剖面点的海拔高度、有机碳、胡敏酸（HA）、富有酸（FA）、胡富比（HA／FA）、E4、E6、E4／E6等指标，运用聚类分析等方法，探讨了伏牛山南侧亚热带北界的划分。研究结果表明，该界线大约在拔1000m左右。     

试论伏牛山南坡土壤垂直分异规律——兼论亚热带北界的划分

在野外土壤调查和室内土壤理化分析的基础上,开展了伏牛山南坡土壤组成和性质垂直分异、土壤类型划分以及亚热带北界问题的讨论。研究表明：(1) 调查断面上土壤表层HA/FA随高度增加而增大,且均小于1,海拔900 m左右土壤胡敏酸的芳构化程度最低;随高度增加土壤pH和盐基饱和度先下降后上升;海拔900 m以下的土壤中均有明显的黏化层,向上土壤黏粒淋溶淀积逐渐减弱;海拔900 m以下的土壤土体风化程度高,大部分氧化物的平均迁移系数和土体淋溶率小于1,土体Saf小于5.06,淀积层游离铁含量大于20 g·kg-1,铁游离度大于40%,具有弱富铁铝作用,剖面中出现明显的铁锰新生体,而向上土体风化程度减弱,不发生富铁铝作用,剖面中不出现铁锰新生体。(2) 伏牛山南坡海拔550 m以下出现黏磐黄褐土 (饱和黏磐湿润淋溶土),550~950 m出现普通黄棕壤 (普通铁质湿润淋溶土),950~1900 m出现棕壤 (普通简育湿润淋溶土或暗沃简育湿润雏形土),1900 m以上出现暗棕壤性土或草甸暗棕壤 (暗沃冷凉湿润雏形土)。(3) 伏牛山南坡亚热带北界约在海拔950 m。     

伏牛山和鸡公山自然保护区植物区系比较

比较研究了河南省内伏牛山和鸡公山两个自然保护区的植物区系,并计算了两地植物相似性系数。研究发现两地植物区系具有一定的相似性,但也存在一定的差异。伏牛山的植物区系整体上的过渡性更强,与华中区和华北区的联系比较紧密,既有热带、亚热带分布种,北温带分布种也占有一定的地位。鸡公山更趋近于北亚热带植物区系。     

秦岭-黄淮平原交界带自然地理若干特征分析

文章探讨了秦岭-黄淮平原交界带划分的依据和方法,然后就其自然地理过渡性、暴雨频繁发生和坡地暖带及其自然地理效应进行讨论。研究表明:交界带自然地理要素不仅具有西部山地和东部平原之间的过渡性,而且北亚热带和暖温带地理成分在这里彼此交汇。交界带暴雨频繁,且以大暴雨为主,集中分布在海拔100~200 m之间。交界带冬季气温高于平原0.5~0.8℃,1月最高气温出现在海拔350~400 m之间,形成特有的坡地暖带,暖带厚度100~250 m。交界带暴雨频繁和暖坡效应是大气环流和交界带地貌格局共同作用的结果,且对本区土壤发育和植物分布等具有重大影响。     

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。     

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。     

南迦巴瓦峰与托木尔峰山地垂直自然带的比较

南迦巴瓦峰地处喜马拉雅山脉东端雅鲁藏布江大拐弯的内侧，托木尔峰地处天山山脉的西端，二者独特的自然地理特征及其高大的山体为山地垂直自然带谱的形成和发展提从了十分有利的自然环境，发育了相当完整的山地垂直系列。比较二者的垂直带谱，可以发现无论在垂直带谱的形成条件，基带，性质和结构类型，还是景观特征，垂直分异影响因素及南北坡差异程度等方面，都存在着较大的差异。南峰垂直带谱为以森林－草原－荒漠土壤系列为特征的季风性湿润，法湿润带谱系统，垂直分异的主导因素为温度；托峰垂直带谱为以荒漠－－草原－荒漠土壤系列为特征的大陆性干旱带谱系统，垂直分异的主导因素为湿度。不同的垂直自然带特征决定了不同的资源开发利用和保护措施。     

从秦岭蕨类植物区系地理成分论秦岭山地生态分界线的划分

依据2007~2008年野外实地调查以及相关文献资料,运用植物区系地理学和数量生态学方法,分析了秦岭蕨类植物区系的物种组成和地理分布特征,划分了秦岭蕨类植物的垂直带谱,并以此为基础探讨了秦岭山地生态分界线的划分,得出以下主要结论:(1)秦岭共有蕨类植物36科85属311种,优势科为鳞毛蕨科、蹄盖蕨科和水龙骨科,优势属为鳞毛蕨属和耳蕨属;在科属水平上,以热带成分占优势;而种的水平则以温带成分占绝对优势。(2)根据秦岭蕨类植物南北坡垂直带谱的对比分析,南坡海拔1000m左右应该是一条重要的生态分界线。(3)南坡1000m以下蕨类植物区系组成更接近亚热带区系,而其他地带则与温带蕨类植物区系更为接近,DCA排序很好地证明了此结果。综合来看,将南坡海拔1000m作为秦岭山地亚热带与暖温带的生态分界线较为科学。     

基于地理探测器的中国亚热带北界探讨

暖温带与亚热带的分界线,是自然区划中一条重要的自然界线,它的划分问题曾引起诸多学科学者的争论。由于早期综合自然区划研究多以定性、专家集成方法为主,同时区划目的、使用指标等多有不同,导致不同学者所划分的自然区多存在一定的差异。本文基于空间分异性思想,使用地理探测器定量探测气候指标对中国亚热带北界的影响,选择其中q值较大的指标如日均温≥0℃天数、最冷月1月均温、年降水和湿润指数等作为主导因子并参考植被、土壤数据探讨亚热带北界界线的位置。结果表明：① 地理探测器法可以快速、准确地筛选自然区划的主要气候指标,并确定分界线的准确位置,提高了自然区划研究的技术水平和区划界线的客观性。② 使用地理探测器划分的新界线在研究区西部位于秦岭南坡1000~1600 m的位置,与以往界线相比略偏南;在研究区东部河南东部、安徽北部比以往界线略偏北。在保持自然要素完整性的同时,新界线具有更大的q值,表明新界线可以很好的反映暖温带与北亚热带2个区划带之间的差异,划分结果具有合理性。