基于MaxEnt模型的菜豆象全球潜在适生区预测

[目的]菜豆象是重要的检疫性害虫,预测其在全球范围内的潜在适生区可为农业部门开展菜豆象防控工作和检验检疫部门制定检疫策略提供科学依据.[方法]在收集菜豆象已有分布点和全球气象数据的基础上,采用MaxEnt模型对其在全球范围内的潜在适生区进行预测分析.[结果]MaxEnt模型的AUC平均值为0.926,预测结果准确可靠....     

珍稀濒危植物野生莲的适生分布区预测

基于野生莲（Nelumbo nucifera Gaertn.）136个分布点的数据和14个环境因子参数,运用规则集遗传算法（GARP）和最大熵（MaxEnt）两个生态位模型对他们在我国的适生分布区进行预测。结果显示：根据GARP和MaxEnt模型计算得到的ROC曲线下面积的AUC均值分别为0.861和0.964,其中MaxEnt模型的AUC值更大,预测结果更精准。MaxEnt模型预测结果表明,莲的最适分布区主要集中在四川、湖北、湖南等地的大部分地区,江西北部,以及黑龙江、辽宁、浙江、广东等地的小部分地区。刀切法（Jackknife）检测结果表明,影响莲适生分布区的主要环境因子包括：水汽压、海拔、年平均气温、多年平均降水量、最热季节平均温度、最冷季节平均温度、最干月降水量、最冷月最低温和最热月最高温等。适生区环境因子的统计分析结果显示,野生莲最适宜生长在海拔1~2216 m、年降水量丰富（1202.50 mm）、年均温约为16.19℃、最热月温度范围在24.60℃~35.10℃、最冷月均温不低于-0.53℃的地区。研究结果可为有效保护中国野生莲资源提供有利依据。     

亚洲季风区铁杉属现代分布区及其气候特征

铁杉属在亚洲主要分布于亚洲季风区东部,间断分布于中国大陆、台湾岛以及日本列岛（除北海道）。在中国大陆间断分布在西南山区（横断山区和部分东喜马拉雅）、中部山区（秦岭-大巴山区）和东南山区（华东山地）。亚洲季风区铁杉属的现代分布环境要求年降水量范围为720～2103mm,生长季降水量为635～1489mm;年均温范围为5．8～18．2℃,冬季月均温为-2．7～11．5℃,年最冷月均温为-3．7-10．9℃,年最暖月均温为13．0—28．2℃,气温年较差为9．7～25．4℃。亚洲季风区铁杉属的现代地理分布与气候要素值相互关系的分析表明,无铁杉分布的朝鲜半岛及其邻近的我国东北山地和山东山地降水量均大于700mm,基本上能够满足铁杉属生长的水分条件;而朝鲜半岛及其邻近的我国东北山地和山东山地的气温年较差明显大于铁杉属分布区的值,同时两地的冬季月均温和年最冷月均温明显低于铁杉属分布区的值,这也是这些地区没有铁杉属分布的主要气候原因。总之,这些亚洲季风区水分条件能够满足铁杉属生长需要,但冬季温度（包括冬季月平均温度和年最冷月均温）和气温年较差无法满足铁杉属生长需要,导致这些地区无铁杉属现代分布记录。     

基于MaxEnt模型预测黄脊竹蝗在中国的适生区

为探明黄脊竹蝗Ceracris kiangsu在我国的潜在适生区,做好早期虫情监测.本研究根据267个黄脊竹蝗物种分布点,结合气候数据,采用最大熵(Maxent)模型和ArcGIS预测黄脊竹蝗在我国的适生区分布.结果表明:影响黄脊竹蝗适生区分布的主要环境变量为最干月降水量和最冷月最低温,次要环境变量为湿季降水量、最热月最高温、降水量季节性变异系数和温度年较差.预测的黄脊竹蝗高适生区、中适生区、低适生区分别占全国陆地总面积的3.0％、5.6％和10.3％,适生区主要分布在江淮流域、长江中下游地区、华南及西南等地.模型预测结果与实际调查一致性较高,能够反映真实分布情况,对科学开展黄脊竹蝗防控具有较高参考价值.     

木本能源植物文冠果的生态特征及区划

利用文冠果(Xanthoceras sorbifolia Bunge)160个分布点和19个生态因子数据,采用BIOCLIM、DOMAIN、MAXENT和GARP四种模型预测文冠果的生态适宜区,分析其生态特征并以受试者工作特征曲线ROC对各模型进行评价。结果显示,文冠果最适宜生态区主要分布于西北黄土高原一带,如陕西、山西、宁夏、河北、内蒙古等省区。模型评估结果显示上述4个模型的AUC值均达到0.75以上,表明预测精度良好,均可用来预测文冠果的生态适宜区。文冠果的生态特征为:年平均温度1.9~16℃,昼夜温差月平均8.3~16℃,昼夜温差与年温差比值为22~33,温度变化方差值为7523~14198;最热月份最高温度为20.1~33.5℃;年平均降水量37~952 mm,最湿月份降水量11~219 mm,最干月份降水量0~29 mm,雨量变化方差值为40~137。研究结果表明文冠果适宜生态区包括我国西部的黄土高原地区和北方土石山区以及新疆北部地区。     

中国兜兰属宽瓣亚属植物地理分布格局及其主导气候因子

为明确兜兰属宽瓣亚属(Paphiopedilum Subgen. Brachypetalum)植物在中国的自然地理分布格局及其主导气候因子,该研究以7种宽瓣亚属植物为研究对象并利用Arc GIS技术提取其在中国194个地理分布点的气候数据,采用描述性统计分析宽瓣亚属植物在中国分布区的气候特点,采用逐步回归拟合各气候因子与其经纬度分布的线性关系,最后通过冗余分析(RDA)和蒙特卡洛(Monte-Carlo)检验量化各气候因子对宽瓣亚属植物地理分布的贡献率。结果表明:(1)宽瓣亚属植物在中国主要分布于滇东南、黔西南、黔南、黔东北、滇西北、桂北与黔南交界处以及桂西北至桂西南地区。(2)该亚属植物在中国分布区的昼夜温差月均值、年平均气温变化范围、最暖季度平均气温、最冷季度平均气温4项热量因子的平均值分别为8.13、23.70、23.62和9.23℃,降水量变异系数、最湿季度降水量、最干季度降水量、干旱指数4项水分因子平均值分别为75.66%、673.10 mm、73.97 mm和26.12%,整体上具有湿热的气候特点;各物种间,狭域分布的物种与广布种间的气候因子存在显著差异。(3)逐步回归分析...     

Primary Production of Lowland Natural Grasslands and Upland Sown Pastures Across a Narrow Climatic Gradient

Variation in aboveground net primary production (ANPP) is usually studied across wide environmental gradients focusing on spatial averages of zonal natural communities. We studied the spatial and temporal variation of ANPP of upland sown pastures and lowland natural grasslands across a narrow gradient of precipitation and temperature. The Flooding Pampa (Argentina) encompasses an 850–1000 mm range of mean annual precipitation and a 13.8–16.0°C range of mean annual temperature. For 15 100 × 100 km cells, we obtained mean monthly precipitation, temperature, and paddock-level ANPP of upland pastures and lowland grasslands during 8 years. Mean annual ANPP of lowland grasslands and upland sown pastures was positively related to mean annual precipitation. ANPP of upland pastures was 60–80% larger and increased more steeply with mean annual precipitation. ANPP seasonality also changed across the gradient. In lowland grasslands, as mean annual precipitation increased, ANPP monthly maximum increased, minimum decreased, and the duration of the growing season shortened. In contrast, in upland pastures, ANPP monthly maximum was constant, minimum increased, and the growing season lengthened with increasing precipitation. ANPP was more stable across years for lowland grasslands than for upland pastures. The response of annual ANPP to current-year precipitation decreased across the gradient, while the importance of the previous-year precipitation increased. In summary, we found strong spatial and temporal patterns of ANPP across a narrow environmental gradient. In addition, landscape position and species composition heavily influenced those patterns.     

Late Pliocene vegetation and climate of Zhangcun region,Shanxi, North China

To understand the Neogene climatic changes in eastern Asia and evaluate the intercontinental climatic differences, we have quantitatively reconstructed the vegetation successions and climatic changes in the late Pliocene Zhangcun area based on the palynological data and explored the regional climatic differences between central Europe and eastern Asia. The late Pliocene palynological assemblage of Zhangcun, Shanxi was composed of 63 palynomorphs, belonging to 50 families, covering angiosperms (90.2%), gymnosperms (9.7%), ferns (0.09%), and other elements (0.02%). Four periods of vegetation succession over time were recognized. In period 1, a needle‐ and broad‐leaved mixed forest prevailed with a cool and dry climate. Period 2 was characterized by an expansion of forest with a warmer and wetter climate. The number of conifers increased and that of herbs decreased in period 3, and the climate became cool and dry. In period 4, the forest was dominated by conifers and reflecting a cooler climate. The data of seven climatic parameters in general and four periods estimated by the Coexistence Approach suggested that (1) The late Pliocene temperatures and precipitations were higher than today. (2) The Neogene climate of both Central Europe and North China exhibited a general cooling and drying trend although the mean annual temperature dropped by ca. 1 °C in North China, vs. ca. 7 °C in Central Europe from the middle Miocene to the late Pliocene. (3) The decline of the mean maximum monthly precipitation might signal a weakening of the summer monsoon. (4) The decline of both the mean coldest monthly temperature and the mean minimum monthly precipitation might be linked to the strengthening of the winter monsoon in eastern Asia. (5) The rapid uplift of the Tibetan Plateau strengthened the climatic cooling and drying during the late Pliocene of the Zhangcun region.     

芦芽山阳坡不同海拔华北落叶松径向生长对气候变化的响应

为研究树木生长对气候变化的响应状况,选取芦芽山阳坡的3个海拔高度建立了华北落叶松(Larix principis-rupprechtii)的树轮宽度年表。年表的统计参数表明,3条年表均为研究气候信息的可靠资料。结果表明,芦芽山阳坡华北落叶松的径向生长和生长与气候的关系均具有海拔差异,中海拔(2440 m)和高海拔(2540 m)的华北落叶松具有相似年际生长变化,而二者均与低海拔(2330 m)华北落叶松的年际生长不同。低海拔华北落叶松的生长与4月平均气温和上一年11月降水量显著负相关,而中海拔和高海拔的生长均与上一年10月平均气温和6月降水量显著负相关。通过年表与气候因子之间的滑动相关分析发现,3个海拔高度华北落叶松生长与气候因子的关系均不稳定,生长与气温条件之间的显著相关关系是随着气温升高而出现的。气温的升高引起了华北落叶松生长与气温因子关系的海拔差异,以及径向生长的海拔差异。这一结果对于气候变化对植被垂直梯度影响的研究具有一定参考价值。     

藏北牧区地表湿润状况对气候变化的响应

利用1961～2006年藏北牧区6个站月平均最高气温、最低气温、降水量、风速、相对湿度、日照时数资料,应用Penman-Monteith模型计算得出潜在蒸散,分析了地表湿润指数的变化趋势、年代际变化特征及季节差异,并讨论了影响地表湿润指数的气象因子.研究表明:近46a藏北牧区年地表湿润指数呈现增大趋势,增幅0.01～0.05/10a;四季地表湿润指数大部分牧区也呈增大趋势,春、秋季增幅明显.近26a(1981～2006年)、季潜在蒸散表现为明显的减少趋势,降水量显现增多趋势,地表湿润指数增大趋势加大,以夏季最为突出.就年平均而言,藏北牧区20世纪60年代初、中期以高湿低温为其主要气候特征;20世纪60年代后期至80年代中期,表现为冷干型的气候特征;90年代初之后,气温持续升高,地表湿润指数显著增加,呈现以暖湿为主的年代际变化特征.湿润指数对降水量、相对湿度和气温日较差的响应最为敏感,而对日照时数和风速的响应也较为明显.     

恢复状态下羊草（Leymus chinensis）草原植被根冠比动态及影响因子

利用内蒙古羊草草原围栏样地连续两年的地上、地下生物量数据和当地同时期的降水、气温资料,分析了退化羊草草原,在恢复过程中植被根冠比动态及与水热因子之间的关系。研究结果表明：（1）羊草草原植被地上、地下生物量季节变化均呈单峰型曲线,峰值出现在8月。（2）羊草草原植被根冠比具有明显的季节变化,生长季初和生长季末根冠比值较大,最低值出现在地上生物量最高的8月中下旬。（3）羊草草原植被月根冠比与上上月月降水量相关关系极显著,与七月平均气温相关关系显著;以根冠比为因变量,上上月月降水量、上月平均气温为自变量可分别建立线性回归方程。该方程可以较好地模拟羊草草原植被生长季内月根冠比的动态变化,这样在草地恢复过程中,可由上月的水热因子来指导下月的草地管理,并为更准确地估算草原生态系统生产力及碳储存动态提供重要参数。     

Dynamics of root-shoot ratio and environmental effective factors of recovering Leymus chinensis steppe vegetation in Inner Mongolia, China

A field study was conducted to examine the relationships between the root-shoot ratio dynamics and the precipitation and temperature of the typical Leymus chinensis steppe recovering from grazing in Inner Mongolia, China. A former piece of pasture land that had been fenced off for 2 years was selected for the study, and aboveground and belowground biomass was collected from the study site along with local precipitation and temperature observations during the study period and was used in the analysis. The results indicated that 1) the seasonal change in both aboveground and belowground biomass in Leymus chinensis steppe demonstrated a pattern with a single peak occurring in August. 2) The root-shoot ratio showed a seasonal variation, with relatively high values at the beginning and the end of the growing season. The minimum ratio occurred in late August when the aboveground bio-mass reached its maximum. 3) The monthly root-shoot ratio was significantly correlated (p < 0.05) with the monthly precipitation two months ago, and with the mean temperature in the previous month. A regression model was built with the root-shoot ratio as the dependent variable, and precipitation and temperature as the independent variables. This regression could be used to model the monthly root-shoot ratio dynamics of Leymus chinensis steppe during the growing season.     

Early Miocene vegetation and climate in Weichang District, North China

The Early Miocene palynological assemblage of Guangfayong (GFY) in the Weichang District, Hebei Province, China has been studied. It consists of 48 palynomorphs belonging to 39 families, with pollen and spores belonging to angiosperms (28.9%), gymnosperms (59.9%), ferns (10.8%) and other elements (0.5%). Based on the palynological assemblages of GFY and Wuluogong (WLG), another locality in the Weichang District, the Early Miocene vegetation of the Weichang District, was characterized by a mixed temperate forest of conifers (e.g. Pinus, Picea, Tsuga) and broad-leaved trees (e.g. Betula, Alnus), with some subtropical plants (e.g. Carya). The palaeoclimatic parameters of Guangfayong were obtained by applying the Coexistence Approach: the mean annual temperature from 7.8 to 14.9 °C, the difference of temperature between the coldest and warmest months from 14.2 to 23 °C, the mean temperature of the coldest month from − 3 to 5.9 °C, the mean temperature of the warmest month from 23.5 to 25.4 °C, the mean annual precipitation from 658.7 to 1389.4 mm, the minimum monthly precipitation from 7.6 to 16.4 mm, and the maximum monthly precipitation from 161.4 to 205.9 mm. It suggests a warm temperate to subtropical climate in Weichang District, similar to that of present-day Zhaojue City, Sichuan Province in the Yangtze River Valley. When the palaeoclimatic parameters were compared with those of Middle Miocene Shanwang Basin, it would seem that the temperature and precipitation were a little higher in the Middle Miocene of eastern China. However, if the latitudinal temperature gradient at that time is considered, the median temperature values of GFY of Early Miocene and Shanwang of Mid-Miocene were similar.     

中国嵩草属植物地理分布模式和适应的气候特征

为了明确嵩草属(Kobresia)植物分布与气候要素的关系, 收集了嵩草属植物地理分布资料和气象台站气候数据, 应用ArcGIS软件及SPSS软件中的聚类分析方法, 分析了嵩草属植物地理分布模式和适应的气候特征。结果显示: 嵩草属植物分布在青藏高原、西北、华北和东北部分地区, 广泛分布13种, 间断分布10种, 分布海拔为1 400-5 000 m, 经度和纬度范围分别为81-112° E和23-46° N。嵩草属植物适应的气候要素平均值范围: 年生物学温度为4-19 ℃, 年平均气温为0-20 ℃, 年平均最高气温为7-28 ℃, 年平均最低气温为-6-16 ℃, 极端最高气温为25-40 ℃, 极端最低气温为-37.0-0.0 ℃, 1月和7月平均气温分别为-14-13 ℃和11-24 ℃, 1月和7月最高气温分别为-7-23 ℃和18-30 ℃, 1月和7月最低气温分别为-22-7 ℃和5-20 ℃, 春夏秋冬季气温分别为-4-19 ℃、9-23 ℃、6-21 ℃和-11-15 ℃, 温暖指数为23-159 ℃, 寒冷指数为-36-0 ℃, 年降水量为154-1 500 mm, 春夏秋冬降水量分别为19-135 mm、53-662 mm、48-545 mm和5-92 mm, Holdridge潜在蒸散量为261-1 100 mm, Thornthwaite潜在蒸发量为399-895 mm, 干燥度为167-786, 湿润指数为179-816, 4-10月日照时数为990-2 100 h。在热量要素平均值较低和中等、降水量与干燥湿润度平均值中等或辐射时数平均值较高范围下分布种数较多。嵩草属植物适应的气候要素极值, 年平均气温最小最大值范围为-6-21 ℃, 年平均最低气温最小值最高气温最大值范围为-12-28 ℃, 极端最低气温最小值最高气温最大值范围为-48-42 ℃, 最冷最热月气温范围为-32-33 ℃, 冬夏季最低最高气温范围为-20-25 ℃, 降水量最小最大值范围为15-1 800 mm, 干燥度最小最大值范围为7-890, 日照时数最小最大值范围为701-2 300 h。在热量要素极值较低、降水量及干燥度极值中等或日照时数极值较大范围下分布种数较多。说明嵩草属植物主要适应于低温亚湿润型和中温湿润型气候。     

中国毛葡萄和刺葡萄分布的气候适宜性

毛葡萄和刺葡萄是起源于中国且用于葡萄酒酿造的两大野生葡萄品种。本研究基于已有中国毛葡萄和刺葡萄的气候影响因子研究成果,利用最大熵原理从充分性与必要性方面确定了影响中国毛葡萄和刺葡萄种植分布的主导气候因子,并基于这些因子综合作用反映的毛葡萄和刺葡萄种植分布的存在概率分析了中国毛葡萄和刺葡萄分布区的气候适宜性。结果表明: 影响中国毛葡萄、刺葡萄分布的主导气候因子是年日照时数、开花期5月降水量、年极端最低气温、最冷月平均气温。中国毛葡萄、刺葡萄气候高适宜区分布在湖南西部和南部、广西中北部、贵州东南部、重庆中部。气候高适宜区、适宜区、低适宜区面积分别占研究区域总面积的2%、14%和16%。毛葡萄、刺葡萄气候适宜及以上区域的年日照时数阈值为1200～1800 h,年极端最低气温-8 ℃以上,最冷月平均气温阈值为2～13 ℃,5月降水量为110～320 mm。     

帽儿山地区兴安落叶松人工林树木年轮气候学研究

通过帽儿山兴安落叶松（Larix gmelinii）人工林树木年轮样本和气象资料,对该地区兴安落叶松进行了树木年轮气候学研究,结果表明：过去50年年均温度上升达到了显著水平（p<0.05）,平均温度每10年约上升0.4℃,年平均最高气温每10年约上升0.3℃,年平均最低气温每10年约上升0.5℃,但是年降水量随着年份变化不显著（p>0.05）。从月均温度来看,所有月份均出现明显上升趋势,其中冬季2月份温度上升最为明显,达到0.9~1℃/10年,而夏季（6~8月）上升的较小,达到0.2~0.7℃/10年;多数月份降雨量随年龄变化不显著（p>0.05）。在这一气候变暖过程中,早材及总年轮宽度生长随着夏季（6~7月）温度上升而下降,春季(5月)温度的升高而升高,晚材随着秋季（9月）温度上升而增加,导致在年水平上,年轮生长随着年均温的变化不显著（p>0.05）。降雨量在未来气候变化过程中,没有稳定的变化趋势,但是对年轮影响明显,在年水平上,早材与年轮的生长均受降水量的影响较大(p<0.05)。如果未来东北地区气候变暖趋势明显,而降水量变化不明显,春季和秋季温度升高导致的年轮生长增加会被夏季过高温度抑制年轮生长所抵消,因此,落叶松林径向生长受到的影响可能不大。     

Leaf and infructescence fossils of Alnus (Betulaceae) from the late Eocene of the southeastern Qinghai–Tibetan Plateau

Plant fossils from the Qinghai–Tibetan Plateau (QTP), China are critical to understand not only the diversification history of plants there, but also the paleoenvironmental conditions. Alnus are deciduous trees, mainly distributed in temperate and subtropical regions of Eurasia and North America, and they are well known in the fossil records throughout the Cenozoic in the Northern Hemisphere. We collected numerous well‐preserved Alnus leaf and infructescence fossils from the Lawula Formation (～34.6 Ma with ⁴⁰Ar/³⁹Ar dating) at the present elevation of 3910 m a.s.l. in the southeastern QTP. Based on detailed morphological comparisons with existing and fossil species, these fossils show closest affinity to Alnus ferdinandi‐coburgii C. K. Schneid., and we refer to these fossils as A. cf. ferdinandi‐coburgii. These specimens comprise the oldest megafossil record of Alnus in the QTP, and provide solid evidence for the distribution of Alnus there as early as the late Eocene. Extant A. ferdinandi‐coburgii is distributed in areas with mean annual temperature values between 9.7 °C and 16.9 °C, and mean annual precipitation values ranging from 896.2 mm to 1161.2 mm; therefore, fossils of A. cf. ferdinandi‐coburgii suggest a much warmer and wetter climate during the late Eocene than today in the southeastern QTP. This finding is consistent with other evidence for continued uplift of the southeastern QTP after the late Eocene that might be due to the eastward extension of the QTP.     

中国蚂蚁丰富度地理分布格局及其与环境因子的关系

物种丰富度分布格局及其形成机制的研究对于生物多样性保护具有重要意义。为了了解中国蚂蚁物种丰富度分布格局,利用中国省级尺度蚂蚁物种分布数据和环境信息,结合GIS和数理统计方法,探讨蚂蚁物种丰富度的地理分布格局与环境因子之间的关系。研究结果表明:(1)蚂蚁丰富度随纬度增加呈逐渐递减趋势,但缺乏显著的经度梯度。丰富度最高的地区主要集中在南方省份,我国北方、西北干旱区和青藏高原北部地区丰富度较低;(2)简单线性回归分析表明,能量、水分和季节性因素中,影响蚂蚁物种丰富度最强的因子分别为最冷月均温(TEMmin)(R2adj=0.532)、年均降水量(PREC)(R2adj=0.376)和年温度变化范围(TEMvar)(R2adj=0.539),而单个生境异质性因子对蚂蚁物种丰富度的影响均不显著;(3)最优模型由年均温(TEM)、海拔变化范围(ELErange)和年温度变化范围(TEMvar)组成,能够解释68.4%的蚂蚁丰富度地理分异。鉴于海拔变化范围更多地反映与温度相关的生境异质性,因此温度是限制中国蚂蚁分布的最重要因素。另外,分析结果还表明,海南、贵州、江西、四川、安徽和山西等6省蚂蚁区系调查最不充分,是未来发现蚂蚁新分布的热点地区。     

Some preliminary results of climatic studies based on European tree-ring and vine quality time series

In this paper some aspects of palaeonclimatology are discussed. Tree-ring parameters and grape harvest values representing biospheric quantities are used as annual proxy data. They are matched with climatic time series (temperature and precipitation) on a monthly or seasonal data basis to obtain an assessment of the biosphere-climate response. The climatic variables extend from the late summer of each current year back to the spring of each previous year. The maximum annual ring density proved to be controlled mainly by the temperature of late summer, whereas the so-called Hollstein Index contains information on the precipitation of early summer; the vine quality is influenced by temperature and precipitation alike.     

中国嵩草属植物丰富度与气候要素的关系

通过收集文献确定了中国嵩草属植物的分布信息,并分析了嵩草属植物丰富度与气候要素的关系.结果表明:嵩草属植物丰富度在中国的云南、四川和西藏交界处及青海东南部和喜马拉雅山区较高,在＜40° N、85°-105° E、海拔2500 m以上范围、或热量要素较低、降水量及干燥湿润度(或日照时数)中等范围的分布密度和丰富度范围较大;丰富度与7月平均、最高和最低气温及夏季气温呈显著负相关关系(P＜0.05),与温暖指数、年生物学温度、极端最高气温、夏季气温以及7月平均、最高和最低气温等值线的对应关系较好.嵩草属植物丰富度与气候要素多元回归模型中,7月最高气温和春季降水量对丰富度影响显著,7月最高气温的影响最大(P＜0.05);逐步回归模型中,7月平均、年均最高和极端最高气温的影响较大(P＜0.05);主分量回归模型中,极端最高、7月和夏季气温、Thornthwaite干燥度指数和4-10月日照时数、夏秋季和年降水量的影响较大.嵩草属植物丰富度主要受生长季气温、降水量和日照时数以及极端最高气温、年降水量和土壤水分的共同影响.