5种干旱指数在吉林省农业干旱评估中的适用性

干旱是对吉林省农业生产影响最大的气象灾害,干旱指数能够表征农业旱情,但不存在普遍适用的干旱指数,开展干旱指数在吉林省农业干旱评估中的适用性研究具有重要的现实意义.基于1961-2014年吉林省的逐日气象数据、土壤水分资料和历史旱情统计信息,选取典型干旱年和典型干旱区,评估了降水量距平百分率(PA)、相对湿润度指数(MI)、作物水分亏缺距平指数(CWDIa)、帕默尔干旱指数(PDSI)和气象干旱综合指数(MCI)共5种干旱指数在吉林省农业干旱评估中的适用性.结果表明:对于1997和2007年两个典型旱年,MI对农业旱情的评价结果与旱情记录较一致,PA和MCI次之.对于吉林省典型旱区(西部通榆、中部梨树、东部和龙),MI和PDSI对农业旱情的评估较好.在农作物生长季,PA较适用于评价4、7和8月的旱情,MI较适用于评价4、5和9月的旱情,CWDIa只适用于评价5月的旱情,PDSI对6-9月的旱情均有一定的指示作用,MCI适用于5-8月的农业干旱过程评估.从农业干旱发生范围来看,MI、PDSI和MCI较适用于评估吉林省西部旱情,PDSI较适用于评价吉林省中部旱情,PA、PDSI和MCI较适用于评估吉林省东部旱情.     

基于VGPM模型和MODIS数据估算梅梁湾浮游植物初级生产力

基于MODIS影像数据反演的2009年2月份至12月份太湖梅梁湾水域表面叶绿素a、悬浮物浓度以及水温数据,结合初级生产力垂向归纳模型(Vertically Generalized Production Model:VGPM)估算获得梅梁湾2009年逐月平均日初级生产力时空分布。结果表明,梅梁湾2009年年平均日初级生产力及逐月平均日初级生产力空间分布差异显著,呈现从湾内向湾口逐渐递减的趋势。时间序列分析显示,梅梁湾初级生产力季节差异显著,夏季>秋季>春季>冬季,全年初级生产力主要集中在夏季,占47.4%。通过分析VGPM模型中几个输入参数对初级生产力的影响,发现悬浮物浓度与标准化初级生产力存在显著负冥函数关系,反映沉积物再悬浮引起的悬浮物浓度增加能降低水体初级生产力。温度对初级生产力也有一定的调控与制约,与初级生产力呈现正相关趋势,在低于21℃的温度范围内与最大光合作用速率呈现正相关。     

Photosynthesis, temperature and radial growth of Scots pine in northern Finland: identifying the influential time intervals

We analyzed the statistical dependence between temperature, the state of functional substances (S), estimated photosynthetic production and the radial growth of Scots pine in northern Finland. Annual sums of these variables were calculated for intervals consisting of consecutive calendar days. For daily mean temperature, all possible intervals between 1 April of the previous year and 31 August of the current year were tested. For S and the daily photosynthetic production, the tested range included days from April to October of the previous year and from April to August of the current year. These sums were compared with tree-ring indices using the Pearson correlation coefficient over the period 1906–2002. The highest correlations (r = 0.64) between daily mean temperature and growth indices were obtained for current-year periods starting 22 June and ending 28 July. For S, a temperature-derived variable describing the instantaneous photosynthetic capacity of Scots pine, the respective interval was from 5 July to 31 July (r = 0.63). The daily photosynthetic production of Scots pine was estimated for 1906–2002 using the PhenPhoto model. The interval during which the estimated daily photosynthetic production of Scots pine produced the highest correlation with growth indices (r = 0.56) was from 5 July to 27 July. Previous-year values of each variable were also significantly correlated to annual growth indices. The intervals with highest correlations were in May–June for each variable, and the correlations were rather low—between 0.3 and 0.4. We also tested selection criteria based on intervals that do not consist of consecutive calendar days, but results did not show notable improvements over the customarily used continuous intervals.     

呼伦贝尔沙地樟子松年轮生长对气候变化的响应

以内蒙古呼伦贝尔地区沙地樟子松为样本,建立了樟子松树木年轮宽度年表,应用相关分析和响应函数分析等年轮气候学方法,研究了樟子松径向生长对气候变化的响应。结果表明,樟子松年轮宽度与4月和6—9月平均温度呈显著负相关关系(P<0.05);与各月降水量多呈正相关关系,特别是与当年5—8月的月降水量呈显著正相关关系(P<0.05);树轮年表与前一年10月至当年10月的PDSI均呈显著正相关关系(P<0.05),其中与5月份PDSI的相关性最高。响应函数分析表明,年表与当年6—7月的平均气温、上一年10月和当年5—7月份的降雨存在显著的相关性,与5—7月份PDSI存在较显著的正相关性;综合来看,呼伦贝尔沙地樟子松生长同时受降水和温度的影响,其径向生长与气候因子间的关系属于降水敏感型,为区域降水重建提供了科学基础。     

赤眼蜂在田间环境下的存活时间及其影响因子研究

目前,淹没式释放是赤眼蜂田间应用的主要方式,在这种释放方式下成虫羽化后在田间的存活时间是影响其防治效果的一个重要因素。本研究以松毛虫赤眼蜂雌成虫为材料,将赤眼蜂引入固定在桃树上的透气的塑料管中,研究了田间不同地面植被（紫花苜蓿和自然生杂草）和不同试验日期（5月31日、6月5日、7月17日、7月24日、8月24日和8月30日）温度、湿度、食物和叶片等因子对成虫存活时间的影响。结果表明：不同地面植被和不同试验日期松毛虫赤眼蜂成虫的存活时间差异显著,成虫的存活时间紫花苜蓿区明显长于自然生杂草区;5月31日和6月5日试验日期的成虫存活时间最长,7月17日和7月24日试验日期成虫的存活时间最短。成虫的存活时间与温度和湿度都呈显著负相关,但温度对成虫存活时间的影响更为显著。松毛虫赤眼蜂羽化后补充营养可以显著延长成虫的存活时间;食物充足的条件下,桃叶的存在使成虫的存活时间明显延长。结论认为,在田间环境下温度和食物是影响赤眼蜂成虫存活时间的主要因子。     

Influence of climate on tree-ring and earlywood vessel formation in Quercus robur in Latvia

We studied the effects of climatic factors on tree-ring width and vessel lumen area (VLA) in earlywood of English oak (Quercus robur L.) in Latvia. Cores were obtained from healthy canopy oaks in 40 stands located across Latvia. Tree-ring widths and VLA were measured. Principal component analysis was used to arrange the sites along gradients of response of tree-ring width and earlywood to environmental factors. Significant relationships of tree-ring width and mean VLA with climatic factors (mean monthly temperature and precipitation sum) were determined by correlation analysis. Relationships between tree-ring, early- and latewood widths were tested in three sampled stands. The patterns of response of VLA and tree-ring width to environmental factors differed in relation to a west–east gradient of increasing continentality. Three regions of Latvia (western, central and eastern) were distinguished along this gradient. Responses to climate differed between tree-ring width and mean VLA. Occurrence of significant correlations between climatic factors and the proxies differed between regions, likely due to regional differences in temperature and precipitation. Tree-ring width correlated with climatic factors (most commonly with March, May and June temperature and August precipitation of the current growing season and July–August temperatures of the previous growing season); VLA was more strongly related to climatic factors, particularly with temperature in winter and spring months. The proportion of significant correlation coefficients with climatic factors differed between the regions. Among sites, significant correlation of tree-ring width with temperature in spring and summer was more frequent in the western region, while correlation with winter temperature of the previous growing season and precipitation in August was more frequent in the eastern region. For VLA, the frequency of significant correlation coefficients with temperature in winter and spring was higher in the eastern region.     

赤红壤植蔗坡地坡面径流及溶解态氮磷流失特征

为探究南方高强度、高频次降雨下赤红壤区坡耕地土壤侵蚀及氮磷养分流失的特征,基于野外径流小区原位观测试验,通过测定自然降雨下赤红壤植蔗坡地坡面径流和溶解态氮磷流失量,探讨自然降雨下甘蔗种植对赤红壤坡面径流及溶解态氮磷流失的影响。结果表明：(1)2019年和2020年,径流量分别为1111.3 m~3/hm~2和3269.4 m~3/hm~2,硝态氮(NO~-₃-N)流失量分别为1.39 kg/hm~2和15.60 kg/hm~2,铵态氮(NH~+₄-N)流失量分别为0.37 kg/hm~2和1.02 kg/hm~2,可溶性磷流失量分别为0.20 kg/hm~2和0.27 kg/hm~2。2019年和2020年植蔗坡地径流及溶解态氮磷流失量均集中在6月份,占流失总量的45%以上,硝态氮(NO~-₃-N)是径流氮素流失的主要形式,占79%以上。此外,2019年和2020年5月至8月,侵蚀性降雨场次分别为18次和23次,侵蚀性降雨量分别为407.8 mm和668.0 mm。(2)不同侵蚀性降雨条件下,植蔗坡地溶解态氮磷流失量及其...     

Seasonal variation in pre- and postpartum maternal body measurements and infant birth weights

A sample of 225 rural Taiwanese women were followed longitudinally through two successive pregnancy and lactation periods. Maternal pre- and postpartum weight and skinfold thicknesses and infant birth weights showed considerable seasonal variation. The lowest mean maternal weights, irrespective of pregnancy or lactation status, occurred in the summer months of June, July, and August, when temperatures and rainfall reach their yearly maxima. The lowest mean birth weights were also recorded for the warm, rainy summer months. Furthermore, a disproportionate number of infants weighing less than one standard deviation below the mean birth weight were born between May and October. The observed seasonal variations most probably reflect annual cycles of agricultural activities and food availability.     

晋西黄土区辽东栎和山杨树干液流对环境因子的响应

2012年4—10月,应用TDP热扩散探针技术,对生长季晋西黄土区次生林主要组成树种辽东栎和山杨树干液流速率进行测定,结合同步测定的空气相对湿度(RH)、太阳光合有效辐射(PAR)、大气温度(T)和土壤含水量(θ)等环境因子,分析液流速率对环境因子的响应.结果表明: 5、6月,影响辽东栎和山杨树干液流速率的主要气象因子是空气饱和水汽压差(VPD)和PAR;7、8月,影响辽东栎和山杨树干液流速率的主要气象因子是VPD和T.除气象因子外,土壤水分条件也是驱动液流变化的重要因素,降雨后θ的增加能够有效影响液流速率,5、6、7、8月,辽东栎降雨后的平均液流速率比降雨前分别增大了28.3％、48.6％、16.9％、11.5％,山杨在6、7、8月降雨后的平均液流速率比降雨前分别增大了0.6％、4.5％、2.3％,辽东栎的增幅明显大于山杨.辽东栎液流速率对降雨后土壤含水量变化更敏感,表现出更高的耗水能力和需水要求,而降雨后山杨的耗水策略仍较保守.液流速率和VPD的关系可以采用指数饱和曲线函数拟合,降雨前后拟合参数的变化说明土壤水分条件的改善能够促进液流速率更快速地到达饱和值.     

Meteorological effects on adult mosquito (Culex) populations in metropolitan New Jersey

For two metropolitan New Jersey counties, monthly average adult mosquito (Culex) catch from New Jersey light trap data sets covering multiple decades is related to a number of meteorological factors. From June through August climatological conditions accounted for between 40% and 50% of the variation in average catch. In general, high monthly precipitation totals both in the month corresponding to the catch and the previous month were associated with increased trap catch. However, individual heavy rainfall events tended to reduce catch. Warm temperatures exerted a positive influence on mosquito abundance in June, but were associated with a low catch in August. Linear meteorological relationships explained only a small percentage of the variations in mosquito catch during May and September. During July, and particularly August, antecedent monthly catch also explained a significant portion of the variance in the contemporaneous catch. Over 60% of the variability in August catch could be attributed to the July population.     

河北夏蝗大发生与气象条件的关系

利用合成分析和秩相关系数2种方法,分析了河北2种生态类型蝗区中夏蝗LocustamigratoriaL.发生程度与气象条件的关系,以确定影响夏蝗大发生的关键气象因子。结果表明:2个类型蝗区大发生年以前一年5月至当年夏蝗出土以前的气温偏高、降水偏少为主;前一年6月下旬、7月上旬、8月上旬、8月中旬气温、6月上旬降水、当年3月下旬降水、4月下旬气温为沿海蝗区关键影响因子,前一年7月上旬和8月下旬气温、5月中旬降水及当年2月中、下旬气温、4月下旬和5月上旬气温为洼淀蝗区的关键影响因子。     

祁连山西部青海云杉径向生长对气候因子的响应

利用树木径向生长监测仪(Dendrometer)和自动气象站在祁连山西部对8棵青海云杉的径向生长及环境因子进行了连续监测研究。结果表明: Gompertz函数拟合结果显示,2018—2020年青海云杉的径向生长分别开始于4月19日、4月17日和4月10日,在日平均气温超过5.5 ℃时径向生长开始;青海云杉生长结束时间分别为8月17日、8月21日和7月19日,生长结束时间与生长季末期降水量有关。研究区青海云杉径向生长量受干旱抑制强烈,其中与7月的日均温(负相关)和日降水量(正相关)相关性最高,与生长季初期(5月)的日降水量的相关关系存在年际间差异。     

Flight patterns of Anarsia lineatella (Lep., Gelechiidae) in relation to degree--days heat accumulation in Northern Greece

The flight patterns of the peach twig borer Anarsia lineatella (Zeller) (Lepidoptera: Gelechiidae) were studied in two important and representative regions of peach production in Northern Greece. In order to determine the seasonal occurrence of the species, adult male moth flight was monitored from April till October (2005-2006) using 8 pheromone traps. The observation areas were located at the regions of Veria (lat. 40.32 degrees North) and Velvendos (lat. 40.16 degrees North). The first flight was observed from early May to early June in Veria and from late May to mid June in Velvendos. The 2nd and 3rd flights were observed from late July to early August and from late August to late September in both regions. The degree-days required for the first generation (431 Veria, 371 Velvendos) were fewer than for the 2nd (661 Veria, 504 Velvendos) and the 3rd generation (675 Veria, 506 Velvendos). A lower threshold temperature of 100 C was used in calculating daily day-degrees from March 1st. All the above data are valuable for the development of prediction models and for decision making in order to achieve better timing of treatments. Considering the increasing interest of biorational insecticides where precise timing of treatments is extremely important, degree-day models could be a useful tool for improving their efficacy in IPM.     

Change in winter snow depth and its impacts on vegetation in China

Snow on land is an important component of the global climate system, but our knowledge about the effects of its changes on vegetation are limited, particularly in temperate regions. In this study, we use daily snow depth data from 279 meteorological stations across China to investigate the distribution of winter snow depth (December–February) from 1980 to 2005 and its impact on vegetation growth, here approximated by satellite‐derived vegetation greenness index observations [Normalized Difference Vegetation Index (NDVI)]. The snow depth trends show strong geographical heterogeneities. An increasing trend (>0.01 cm yr^?1) in maximum and mean winter snow depth is found north of 40°N (e.g. Northeast China, Inner Mongolia, and Northwest China). A declining trend (?1) is observed south of 40°N, particularly over Central and East China. The effect of changes in snow depth on vegetation growth was examined for several ecosystem types. In deserts, mean winter snow depth is significantly and positively correlated with NDVI during both early (May and June) and mid‐growing seasons (July and August), suggesting that winter snow plays a critical role in regulating desert vegetation growth, most likely through persistent effects on soil moisture. In grasslands, there is also a significant positive correlation between winter snow depth and NDVI in the period May–June. However, in forests, shrublands, and alpine meadow and tundra, no such correlation is found. These ecosystem‐specific responses of vegetation growth to winter snow depth may be due to differences in growing environmental conditions such as temperature and rainfall.     

云南瑞丽桔小实蝇成虫种群数量变动及其影响因子分析

分别于1997、2000、2003和2004年通过诱蝇谜对云南瑞丽桔小实蝇种群动态进行了全年监测,并就气候因子及寄主植物对该种群变动的影响进行了系统分析.结果表明,桔小实蝇在瑞丽常年发生,当年11月至翌年1月份,桔小实蝇种群处于较低水平,2月份以后种群数量逐渐上升,至6月份形成种群的年增长高峰,此后至10月份种群数量迅速下降.经逐步回归分析表明,月均温、月平均最高温、月平均最低温、月极端最高温、月极端最低温和月雨日数是影响瑞丽桔小实蝇种群月变动的主要气候因子.通径分析和决策系统分析表明,月均温对种群数量变动具有正效应,是直接影响桔小实蝇种群变动的重要指标,月均最低温是影响种群增长的最主要的限制因素,月雨日数对种群动态的综合影响力最大.瑞丽各月平均温度位于桔小实蝇各虫态生长发育温度范围内,但11～翌年1月份的月均最低温低于桔小实蝇的适温范围,对桔小实蝇种群数量有一定抑制作用.2～5月份雨日数逐渐增多,雨量逐渐增大,有利于种群数量增长;7～8月份持续的强降雨过程被认为是桔小实蝇在该时期种群数量下降的主要原因.而瑞丽的多种瓜果成熟期的交替出现保证了桔小实蝇的食物供应.     

Aflatoxin contamination of Virginia peanuts for the crop-years 1982–1986

To establish those environmental conditions which promote the growth of aflatoxin (AFT)-producing Aspergillus spp. on peanuts, a four-year (1982–1986) investigation was undertaken to examine possible relationships between air temperature (AT), precipitation (P), and AFT contamination of stored nuts. The mean percentages of nuts that possessed various AFT levels for the years 1982–1986 (June–July) ranged from 74·2 to 88·0 for 0–4 ppb, 6·3 to 14·9 for 5–15 ppb, 2·4 to 5·9 for 16–25 ppb, 2·3 to 6·4 for 26–100 ppb, and 0 to 4·7 for > 100 ppb. The mean percentages for the years which exceeded USDA/FDA regulations were 7·1 (1982–1983), 7·6 (1983–1984), 11·6 (1984–1985), and 17·0 (1985–1986). Examination of the mean percentage > 15 ppb for each month during these four years revealed that the following months fell within that range; Septtember, November, December, January, February, and May (1982–1983); July, October, April, and June (1983–1984); August, and June, (1984–1985); and July, April, and May (1985–1986). Comparisons of pooled-AFT levels, rainfall, and temperature over four years suggested a ‘better fit’ between mean monthly P and mean percentage AFTs > 15 ppb, than between the latter and mean monthly AT. However, application of a predictor equation suggested a correlation between AFT levels and monthly AT.     

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.     

Size of the first spring generation of Helicoverpa punctigera (Wallengren) (Lepidoptera: Noctuidae) and winter rain in central Australia

Serious infestations of Helicoverpa punctigera are experienced yearly in the eastern cropping regions of Australia. Regression analysis was used to determine whether the size of the first generation in spring (G₁), which is comprised mostly of immigrants from inland Australia, was related to monthly rainfall in inland winter breeding areas. Data from two long series of light-trap catches at Narrabri in New South Wales (NSW) and Turretfield in South Australia (SA) were used in the analyses. The size of G₁ at Narrabri in each year was significantly regressed on the amount of rainfall in western Queensland and NSW in May and June. The size of G₁ at Turretfield each year was significantly regressed on the amount of rain in May, June and July in western Queensland and NSW and also in the desert of central Western Australia. Low r ² values of the regressions suggest that rainfall data for more sites, as well as biological and other physical factors, such as temperature, evaporation, and prevailing wind systems, may need to be included to improve forecasts of the potential magnitude of the infestations in coastal cropping regions.     

Population dynamics of Bactrocera dorsalis (Diptera: Tephritidae) and analysis of the factors influencing the population in Ruili, Yunnan Province, China

Annual monitoring of the population dynamics of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) using methyl eugenol-baited traps was conducted throughout the year during 1997, 2000, 2003 and 2004 in Ruili, Yunnan Province, China. Temperature, rainfall and host-plant species were analyzed with respect to population fluctuation of the fly. During the study periods the fruit fly occurred throughout the year. Its population remained low from November to January and increased steadily from February until it reached a peak in June. Afterwards, the population declined until October. The results of stepwise regression analysis indicated that monthly mean temperature, monthly mean maximum temperature, monthly mean minimum temperature, monthly extreme maximum temperature, monthly extreme minimum temperature, and monthly raining days were the major climatic factors influencing populations. Path and decision coefficient analyses indicated that the monthly mean temperature was the crucial factor influencing population fluctuation, the monthly mean minimum temperature was the crucial limiting factor indirectly influencing increase in population, and the comprehensive factors influencing fly population dynamics, namely, the monthly raining days were the strongest of all the other factors. Generally, the monthly mean temperatures fell within the ranges of temperatures suitable for development and reproduction of the fly. But the monthly mean minimum temperatures from November to January seemed to be lower and were suggested to be responsible for the low populations in this period. Monthly rainfall and rainy days steadily increased from February through June, and this explained the increase in population observed during this period. During periods of continuous heavy rain from July through August, the fruit fly population showed a remarkable decrease. Host plant species was another essential factor influencing the population fluctuations. Abundant fruit and melon species formed the food and breeding materials for the fly during the study periods.     

Population dynamics of Bactrocera dorsalis (Diptera: Tephritidae) and analysis of the factors influencing the population in Ruili, Yunnan Province, China

Annual monitoring of the population dynamics of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) using methyl eugenol-baited traps was conducted throughout the year during 1997, 2000, 2003 and 2004 in Ruili, Yunnan Province, China. Temperature, rainfall and host-plant species were analyzed with respect to population fluctuation of the fly. During the study periods the fruit fly occurred throughout the year. Its population remained low from November to January and increased steadily from February until it reached a peak in June. Afterwards, the population declined until October. The results of stepwise regression analysis indicated that monthly mean temperature, monthly mean maximum temperature, monthly mean minimum temperature, monthly extreme maximum temperature, monthly extreme minimum temperature, and monthly raining days were the major climatic factors influencing populations. Path and decision coefficient analyses indicated that the monthly mean temperature was the crucial factor influencing population fluctuation, the monthly mean minimum temperature was the crucial limiting factor indirectly influencing increase in population, and the comprehensive factors influencing fly population dynamics, namely, the monthly raining days were the strongest of all the other factors. Generally, the monthly mean temperatures fell within the ranges of temperatures suitable for development and reproduction of the fly. But the monthly mean minimum temperatures from November to January seemed to be lower and were suggested to be responsible for the low populations in this period. Monthly rainfall and rainy days steadily increased from February through June, and this explained the increase in population observed during this period. During periods of continuous heavy rain from July through August, the fruit fly population showed a remarkable decrease. Host plant species was another essential factor influencing the population fluctuations. Abundant fruit and melon species formed the food and breeding materials for the fly during the study periods.