大棚模拟条件下角倍蚜春季迁飞数量动态及其与气象因子的关系

2009-2011年,在四川峨眉对大棚模拟条件下角倍蚜春季的迁飞数量及其与气象因子的关系进行观察分析,结果表明春迁蚜的迁飞活动与天气条件密切相关,在迁飞期内,当日平均气温≥9℃、最高气温≥13℃、平均相对湿度≤80％,春迁蚜开始迁飞;当日平均气温≥15 ℃、最高气温≥22 ℃、日照时数≥7 h、平均相对湿度≤65％,春迁蚜大量迁飞.在迁飞初期和中期,春迁蚜迁飞数随气温升高而增加.当天气条件适宜时,春迁蚜日迁飞数量的变化为单峰型,前期和末期低、中期高;当迁飞期内遭遇激烈降温,日迁飞数量波动较大,呈双峰或多峰型,同时迁飞期延长、迁飞率和单位面积迁飞量下降.相关分析与主成分分析结果:春迁蚜日迁飞数与平均气温、日最高气温和日照时数呈极显著正相关(P＜0.001),与平均相对湿度、最小相对湿度呈显著负相关(P＜0.05),与日最低气温和降水量相关性不显著(P＞0.1);表明温度和湿度是影响春迁蚜迁飞的关键因子,日照次之.     

新疆伊贝母有效成分含量与气候因子相关性分析

应用系统相关分析法和灰色关联度分析法,研究伊贝母(新疆贝母Fritillaria walujewii、伊犁贝母F. pallidiflora)有效成分含量与气候因子的相关性,筛选影响其质量的主导因子。结果表明,新疆不同产地气候因子存在较大差异,伊贝母总生物碱和西贝母碱含量与年均气温、地面温度、日照时数、相对湿度、降水量等5个气候因子无显著相关性;西贝母碱苷含量与年均相对湿度有极显著正相关(P<0.01),与年均地面温度有显著正相关(P<0.05),与年均日照时数有显著负相关(P<0.05);水溶性成分腺苷含量与年均降水量和地面温度均有显著正相关(P<0.05);水溶性成分β-胸苷含量与年均气温、相对湿度和地面温度均有显著正相关(P<0.05),与年均日照时数有显著负相关(P<0.05)。上述相关分析结果与灰色关联度分析结果一致。年均气温、降水量、相对湿度和地面温度升高有助于伊贝母中西贝母碱苷、腺苷和β-胸苷的形成与积累,年均日照时数升高则抑制西贝母碱苷和β-胸苷的形成与积累。伊贝母最佳适宜生长的气候条件为年均气温13～27℃,降水量169～288 mm,相对湿度55%～66%,日照时数2140～2547 h,地面温度26～41 ℃。     

陇东黄土高原塬区农业气象要素的变化特征

对1971—2000年陇东塬区气象资料分析表明,该区气温呈现出明显的线性上升趋势,且以冬季和春季增温为主。增温表现为平均气温、最高气温和最低气温同时上升。最高气温以季节转换时升幅最大,最低气温多数时间呈现上升趋势,且升温较最高气温显著。最高气温和最低气温均以12月上升最为显著。在气候变暖的趋势下,蒸发量显著增大,界限温度初日提前、终日推后,气温稳定通过0℃和10℃积温增加,无霜期延长,春秋土壤水分减少等。降水量、日照时数、太阳辐射和空气相对湿度等农业气象要素的整体变化不显著。认为气候变暖引起的多要素变化对农业的影响有利有弊,农业管理部门应根据当地气候变化特征,及时调整种植结构,优化种植模式,趋利避害,充分挖掘气候资源潜力,提高农业经济效益。     

贵州白背飞虱灯下种群发生动态区域性比较研究

为明确贵州省白背飞虱Sogatella furcifera (Horváth)全年世代尤其主害代发生危害规律,采用灯光诱测的方法系统地研究了近4年来贵州省4个不同稻区的白背飞虱灯下种群发生动态并进行了区域性对比,结果如下：三都稻区和惠水稻区的白背飞虱灯下始见日多在4月中下旬,锦屏稻区和道真稻区的灯下始见日稍晚,在4月下旬至5月中旬,各稻区灯下主峰日与始见日和始盛日均呈显著正相关;4稻区年度诱虫量差异较大,三都稻区的灯下虫量最多,而锦屏稻区最少,各稻区灯下种群中,白背飞虱的雌雄性比均大于1;在第3代灯下虫量上,三都与道真存在显著差异,在第6代虫量上三都与惠水、锦屏也存在显著差异,其他各代虫量间不同稻区并无显著差异。     

广西金钟山细叶云南松径向生长及其对气候因子的响应

为探究广西金钟山细叶云南松径向生长及其对气候的响应,该文建立了细叶云南松树木年轮标准年表,采用响应分析探讨了径向生长与气候因子的关系,并使用逐步回归和方差分解量化了不同气候因子对径向生长的影响。结果表明:(1)响应分析结果显示,上一年1月、8月、9月、11月的日照时数以及上一年10月的平均最低气温和平均气温与标准年表年轮宽度均呈显著正相关,而上一年6月降雨量>10 mm的天数与年轮宽度呈显著负相关; 当年2月的降雨量、3月的空气相对湿度和平均最低气温、6月的日照时数以及9月的平均气温和平均最高气温均与年轮宽度呈显著正相关。(2)逐步回归最终模型的方差分解结果显示,上一年10月的平均最低气温对细叶云南松径向生长的影响最大(方差解释量达23.35%),其次是当年9月的平均最高气温(方差解释量为10.39%); 上一年1月和11月的日照时数分别解释了径向生长变异的3.94%和6.58%。综上表明,秋季的温度和冬季的光照条件是限制细叶云南松径向生长最主要的气候因子,早春干旱和雨季大降雨量会降低细叶云南松的径向生长。     

华北平原参考作物蒸散量时空变化及其影响因素分析

根据华北平原56个气象站1960—2012年逐日气象数据和Penman-Monteith模型计算了各站及区域整体参考作物蒸散量(ET0),利用样条插值法、气候倾向率、累积距平、敏感性系数等方法对华北平原ET0的时空变化及其影响因素进行了分析。结果表明:(1)华北平原多年平均ET0为1071.37mm,空间上呈现高低值相间分布格局,高值中心分布在冀北、鲁中、豫西,而低值中心分布在冀东、鲁南、豫东及豫南等地;(2)近53年ET0呈减少趋势(-12.8mm/10a),山东半岛北部及冀北等地有缓慢增加趋势,其余地区以减少为主;(3)ET0对气温、平均风速、日照时数为正敏感,而对相对湿度为负敏感。平均气温与日照时数敏感系数呈现下降趋势,相对湿度与风速敏感系数表现出上升趋势。ET0对气温和风速敏感度高的区域同时对日照时数和相对湿度敏感度较低;(4)归因分析表明,华北平原ET0的主导因子是日照时数,平均风速次之,相对湿度、最高温度、最低温度对ET0变化影响较小,日照时数主导区域包括冀北、坝上地区、冀中、豫西、豫南、鲁中及鲁西北,平均风速的主导区域为冀南、河南黄河以北、豫中、鲁西北,温度主导区域零星分布于冀北、豫西、山东半岛等地,相对湿度的主导区域主要分布在鲁南、山东半岛。     

红火蚁觅食活动的气象因子相关性及其等级划分

[背景]气象因子是制约害虫种群动态的重要因素,也是昆虫觅食活动的影响因子。【方法】通过系统的田间调查分析了红火蚁在华南地区的觅食活动年变动规律及其与气象因子的关系。[结果]红火蚁在12和1月份时觅食活动最弱,3—6月出现一个觅食高峰,在下半年的9—11月出现另一个高峰,7、8月份受高温的影响觅食活动有一定程度的回落现象。红火蚁工蚁觅食活动的年变化规律又因不同生境类型呈现一定的差异。相关分析结果表明,红火蚁觅食工蚁数与降水量、月平均气温、月最低气温、月最高气温、月最小相对湿度呈正相关,而与月平均气压呈负相关,且各相关性均达显著水平。逐步回归分析表明,月平均气温、日照时数、月最低气温综合影响红火蚁觅食活动的变化。其中,月平均气温可以作为一个非常重要的直接影响红火蚁觅食活动的参数。对荔枝园内全年红火蚁觅食活动进行分级,对方程进行求导得到红火蚁在荔枝园中觅食活动的5个活动级别所对应的月平均温度、日照时数和月平均最低气温实际临界值。[结论与意义]气象因子与红火蚁的觅食活动存在密切的相关性,研究结果可为红火蚁的监测与控制提供依据。     

白背飞虱的迁飞生物学:江苏苏州个例分析

对苏州市吴中区1984—2002年灯诱数据的分析表明,白背飞虱Sogatella furcifera(Horváth)的灯下始见期一般在6月上旬,而主迁峰日则一般出现在7月上旬。1996年后,始见期有提前的趋势。对18年灯诱虫量的时间序列分析表明,田间迁入代虫量与6月份的灯诱虫量相关,田间第1代虫量与迁入代虫量相关,第2代则只与田间第1代和8月份的诱虫量相关。对1986—2002年吴中区白背飞虱田间虫量的分析表明,白背飞虱在田间一般要完成2个世代,20世纪90年代中期之后会出现第3代,表现出低迁入率(平均百穴21头)、高增殖倍数(G1/G0在30～200倍左右)和高峰值密度(16年平均百穴3200头)的种群特征。此间白背飞虱长翅型成虫的比率不高,迁入后便像褐飞虱Nilaparvata lugens(Stl)那样形成了滞留本地的增殖代(7月20日到8月10日)和以本地滞留为害与部分迁出个体混合而成的主害代(8月15日到9月5日),直到8月下旬和9月上中旬,其长翅型比率才会有大幅回升开始回迁,呈现出翅型长-短-长的变化模式。     

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.     

青藏高原高寒草原生态系统植被碳密度分布规律及其与气候因子的关系

根据青藏高原高寒草原生态系统中以降水量为主要驱动力的东西样带和以气温为主要驱动力的南北样带内植被土壤的实测数据,分析了这一区域植被碳密度的分布特征及其与气候因子之间的关系.结果表明,在南北样带内(北纬28°46′～31°40′),植被碳密度首先随纬度的增加而增加,当纬度达到约北纬30°16′处,植被碳密度达到最大值0.873 1 kg·m-2,之后,则随纬度的增加而减少,植被碳密度总体上呈现出南北低、中间高的分布特征;在东西样带内(东经80°02′～91°50′),植被碳密度随经度的增加而增加,呈现出东高西低的分布特征.在南北样带内植被碳密度与年均降水量和年均气温之间的偏相关系数均达到极显著水平,而在东西样带内植被碳密度与年均降水量和年均气温之间的偏相关系数也均达到显著水平;在南北样带内植被碳密度先随年均气温和年均降水量的增加而增加,当年均气温达到约-1.5 ℃、年均降水量达到约497.0 mm时,植被碳密度达到最大值1.329 6 kg·m-2,之后,随年均气温和年均降水量的增加而减少;在东西样带内植被碳密度也先随年均气温和年均降水量的增加而增加,当年均气温达到约0.7 ℃、年均降水量达到约409.0 mm时,植被碳密度达到最大值1.208 3 kg·m-2,之后,随年均气温和年均降水量的增加而减少.研究结果显示,青藏高原高寒草原生态系统南北样带和东西样带内的植被碳密度分布均是年均气温和年均降水量综合作用的结果,且年均降水量的作用大于年均气温.     

滇西南稻区白背飞虱种群特征及其关键影响因子

为明确滇西南沧源县稻区白背飞虱Sogatella furcifera的种群发生特征及其影响因子,于2010-2019年通过灯诱监测和田间调查的方法,分析沧源县白背飞虱的越冬种群、灯诱种群及田间种群发生特征,并对白背飞虱种群数量的影响因素进行相关性分析.结果表明:(1)白背飞虱以成、若虫在再生稻、落粒稻上越冬,越冬虫量最...     

Monitoring tsetse fly populations.:II. The effect of climate on trap catches of Glossina pallidipes

In Part I it was shown that the sampling distribution of trap catches of tsetse flies, Glossina pallidipes Austen, at Nguruman, Kenya, using unbaited biconical traps follows a Poisson distribution. In this paper we examine the effect of humidity and temperature on day-to-day and seasonal variations in the trap catches. It is shown that the seasonal variation is significantly correlated with maximum daily temperature, the catches increasing with temperature when the maximum temperature is below 34 degrees C and decreasing with temperature when it is above 34 degrees C. The correlation between trap catches and relative humidity is not as good as the correlation with the maximum temperature, and the two together do not improve the fit to the trap catches. The day-to-day variation is significantly greater than the intrinsic variation due to the stochastic nature of the sampling process and for some traps it is correlated with temperature and humidity. An autoregressive model gives a half-life for the decay of departures from the mean of about 1 day and it is suggested that this indicates the movement of flies in response to animal movement or to climatic factors other than temperature or humidity. After removing the temperature dependent part of the seasonal variation and the autoregressive component of the data, the male and female catches are still significantly correlated.     

Effects of weather factors on the abundance and diversity of moths in a temperate deciduous mixed forest of Korea

Three-year (2004-2006) monitoring results of macrolepidoptera using light traps in a temperate deciduous mixed forest were analyzed to investigate the relationship between moth diversity and nine weather variables. Results of stepwise regression analyses showed that mean daily temperature was the main predictor for moth diversity. The present study also revealed that each moth family was affected by a set of different weather factors (rainfall, relative humidity, or duration of sunshine) probably due to different life-history strategies. The impacts of recent climate change on insect populations may be evidenced in the close relationship between moth abundance and mean temperature.     

Cotton (Gossypium barbadense) production as affected by climatic factors and soil moisture status

This study investigates the statistical relationship between climatic variables and aspects of cotton production (Gossypium barbadense), and the effects of climatic factors prevailing prior to flowering or subsequent to boll setting on flower and boll production and retention in cotton. Also, the study covers the predicted effects of climatic factors during convenient intervals (in days) on cotton flower and boll production compared with daily observations. Further, cotton flower and boll production as affected by climatic factors and soil moisture status has been considered. Evaporation, sunshine duration, relative humidity, surface soil temperature at 1800 h, and maximum air temperature, are the important climatic factors that significantly affect flower and boll production. The least important variables were found to be surface soil temperature at 0600 h and minimum temperature. The 5-day interval was found to be more adequately and sensibly related to yield parameters. Evaporation; minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention. There was a negative correlation between flower and boll production and either evaporation or sunshine duration, while that correlation with minimum relative humidity was positive. The soil moisture status showed low and insignificant correlation with flower and boll production. Higher minimum relative humidity, short period of sunshine duration, and low temperatures enhanced flower and boll formation.     

Effect of light colours and weather conditions on captures of Sogatella furcifera (Horváth) and Nilaparvata lugens (Stål)

To study the phototactic responses of white‐backed planthopper, Sogatella furcifera (Horváth) and brown planthopper, Nilaparvata lugens (Stål) to different wavelengths, four colours of light traps (blue, green, yellow and red light‐emitting diodes) were placed in the same rice field along with a traditional black light trap. This study revealed that S. furcifera and N. lugens are more attracted to blue and green lights than that to yellow and red lights. During the 24 nights, compared with the black light trap, the blue LED trap could catch more rice planthoppers at 17 nights. Furthermore, catches of other species (moths and beetles) were substantially reduced in blue LED light traps. Multiple regression models were developed to assess the effect of weather factors on light trap catches of rice planthoppers. Rainfall and mean air temperature at a night mainly affected light trap catches of S. furcifera. Higher rainfall and lower temperature increased light trap catches of S. furcifera. However, wind speed was the main factor affecting the catches of N. lugens, and the lower incidence of catches was found in the night when wind speed exceeded 3.08 m/s. S. furcifera may be flying against wind at light wind nights by 0.3–1.5 m/s, whereas N. lugens may be flying down at strong wind nights by 1.5–3.08 m/s. Relative humidity did not significantly influence on trap catches. Consequently, light wavelengths, precipitation, average temperature and wind should be considered when monitoring rice planthoppers by light traps. Therefore, the blue LED light traps are worth using for monitoring planthoppers.     

中国东南高海拔黄山松生长对气候的响应——以浙江省九龙山和安徽省牯牛降为例

利用中国浙江省西南部九龙山自然保护区和安徽省南部牯牛降的高海拔黄山松树轮径向宽度资料,分别建立了2个树轮宽度差值年表(RES).由子样本信号强度(SSS)>0.8判定,九龙山年表(JLS01)的可靠时段为1884—2010年,牯牛降年表(GNJ01)的可靠时段为1837—2008年.将采样点周围气象站气象数据做算术平均代表区域气候状况,利用相关函数检验了两年表与区域气象数据的月降水量、月平均温度、月平均相对湿度、月总云量和月日照时数的关系.结果表明： 2个高海拔点树木径向生长主要受夏季(上年6、7月,当年6月)水热条件的影响.九龙山年表与上年6、7月温度呈显著正相关,与上年6、7月和当年6月降水及相对湿度呈显著负相关,与上年7月总云量呈显著负相关,与上年6、7月日照时数呈显著正相关;牯牛降年表与上年7月温度呈显著正相关,与上年7月和当年6月降水及相对湿度呈显著负相关,与上年6月总云量呈显著负相关,与上年7月、当年6月日照时数呈显著正相关.由于高海拔地区温度较低,夏季温度的升高有利于该地区树木生长,同时较多降水对应的高相对湿度、高云量和低日照时数,限制了光合作用产物的合成,导致树木的径向生长受到抑制.
     

Forecasting model of bacterial leaf spot disease of mulberry caused by Xanthomonas campestris pv. mori

In order to develop weather-based forecasting model of bacterial leaf spot (BLS) disease of mulberry caused by Xanthomonas campestris pv. mori, weekly disease severity data were recorded for three years on the ruling cultivar S-1. Daily meteorological data viz. maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity, rainfall and number of rainy days were also recorded. It was observed that BLS appeared in April/May and continued up to November with maximum severity in July. The correlation coefficient between disease severity and meteorological parameters revealed that the BLS disease severity has significant positive correlation with minimum temperatures, maximum and minimum relative humidity, rainfall and number of rainy days and negative correlation with maximum temperature. Multiple regressions analysis revealed that average of maximum temperature, minimum temperature and rainfall of preceding seven days and maximum relative humidity, minimum relative humidity of previous 9–15 days was found to maximally influence BLS disease severity. The contribution of the meteorological factors was found to be highest of minimum temperature (40.65%) followed by maximum temperature (24.20%), maximum relative humidity (16.41%), minimum relative humidity (8.07%), rainfall (5.29%) and number of rainy days (5.38%).     

南宁市植物群落结构特征与局地小气候效应关系分析

着重探讨植物群落结构特征与生态小气候因子间的相关性。结果表明:(1)在林荫处,植物群落总冠幅盖度、总密度、群落重要值均与温度成极显著的负相关;植物群落群落重要值还与相对湿度达到显著正相关。(2)在林隙处,植物群落总平均株高与光照强度成显著正相关,与风速成极显著负相关。(3)植物群落结构特征与其小气候生态效应间的相关性是:总平均株高与遮光效应值达到极显著的正相关,与挡风效应值亦达到显著的正相关。另外,总冠幅盖度与降温效应值成极显著的正相关。同时,总密度与降温效应值亦成极显著的正相关。特别是群落重要值与降温、增湿、挡风、遮光等生态效应值都成显著甚至极显著的正相关。通过分析与探讨南宁市植物群落结构和小气候因子间的相关性机理,可为科学地进行城市绿化、生态城市建设提供理论依据。     

An aerobiological study of Urticaceae pollen in the city of Granada (S. Spain): Correlation with meteorological parameters

An aerobiological study was made of Urticaceae pollen in the city of Granada, relating the mean values of the daily counts to meteorological parameters. Sampling was carried out with a Burkard seven‐day‐recording spore trap from October 1992 to September 1997. This pollen type has an extremely long main pollen season (MPS), with maximum counts in (January) February, March and April, causing numerous cases of human pollinosis throughout the entire Mediterranean region, including Granada. A highly constant intradiurnal variation pattern was obtained showing that the maximum peaks usually occur between 12.00 and 20.00. According to Spearman's correlation coefficient, during the pre‐peak period the parameters which have the greatest effect on the levels of this type of pollen are daily and accumulated temperature and sunshine, accumulated rainfall, and wind direction from the third quadrant; during the post‐peak period these same variables presented significantly negative coefficients. Daily rainfall and relative humidity presented negative coefficients during the entire MPS. The maximum daily temperature was the variable which provided the closest match with the theoretical predictive pattern presented here.