全国粮食总产海温预测预报模式研究

本文使用太平洋286点海水温度资料,对我国粮食总产及其地理分布进行多时效的动态监测.为了能一次预报出整个的产量场,首先对初始场作自然正交展开,提取前P个主成分进行海温网格点的复相关计算,用以筛选因子组建预报方程.预报模式采用时效可任意指定的动态链接式,它可以通过海温这个“窗口”,实现对全国粮食总产前景的连续监测.     

不同遮荫处理对翠云草叶色变化的影响

本研究以半年生翠云草盆栽为试验材料,研究不同遮荫处理对翠云草叶色变化的影响。试验设置全光照R0(透光率100%NS)、一层遮荫R1(38%NS)、二层遮荫R2(20%NS)、三层遮荫R3(16%NS)和四层遮荫R4(10%NS)共5个处理。处理3个月后,比较叶片中叶绿素a、叶绿素b、叶绿素a+b、叶绿素a/b、类胡萝卜素、花色素苷、苯丙氨酸解氨酶及可溶性糖含量变化。结果显示,叶绿素含量在3层遮荫处理下最高,叶片表现出特殊的蓝绿色;全光照下,叶绿素含量和花色素苷含量均最低,而类胡萝卜素含量最高,说明叶片受到强光胁迫,是类胡萝卜素而不是花色素苷取代了那部分被破坏的叶绿素,因此叶片表现出红色。方差分析表明,不同遮荫处理对翠云草叶片中叶绿素含量影响极显著,对花色素苷含量影响显著,而对类胡萝卜素含量影响不显著。掌握翠云草叶色在不同遮荫条件下的变化规律,有助于在园林中根据景观需要进行合理配置,创造别具特色的园林植物景观。     

油菜生育期动态模拟模型的构建

在13个不同熟期甘蓝型油菜品种的2年大田试验中,调查不同播期条件下各品种的生育进程及发育状态。依据油菜生理发育时间恒定原理、生理生态理论及各生育阶段与温度、光周期等外部环境关系,采用Logistic曲线描述油菜光周期效应,谐波分析法分析气温昼夜变化,分段正弦指数函数分析热效应和低温春化效应,结合上述因素构建油菜生育期动态模拟模型;确定模型光周期敏感因子、温度敏感性、生理春化时间和角果期因子4个遗传参数;模型的检验分析表明,对不同播期模拟值与观测值的根均方差平均值为2.67 d,对不同品种模拟值与观测值的根均方差平均值为3.74 d;4个遗传参数值对13个油菜品种聚类分析的结果符合品种特性。因此,该模型在一定范围内可准确揭示油菜对温、光的反应规律,具有较强的可靠性和预测性。     

太行山区苹果园昆虫群落及其动态变化研究

研究了河北太行山中南部苹果园昆虫群落的组成、发展演替、群落的空间、时间格局;揭示了苹果生长季节昆虫群落结构的变动规律,确定了不同时期、不同部位的害虫优势种;明确了苹果园昆虫多样性、均匀度和优势度参数变化较大,在太行山区苹果园生态系统中,仅靠天敌的作用,不能起到控制害虫危害目的,需以人工干预。     

作物养分定量化模型原理及方法比较分析

本文比较分析了养分经验模型和动态模拟模型的原理和计算方法。比较典型的经验模型有肥料效应函数方程,目标产量法,以及基于土壤肥力指标的QUEFTS(QUantitative Evaluation of the Fertility of Trop ical Soils)养分模型等。经验模型的特点是简单易行,所需参数少,但模拟精度难免误差较大;动态模拟模型由于考虑到复杂因素对作物养分吸收的影响,以及植物营养的动态过程,更能反映的系统真实行为。然而,由于土壤养分运移和作物养分吸收过程的复杂性,目前除氮外,还很难做到其它养分的动态定量化模拟,这些都还有待于更深入的基础性研究。     

黄土高原不同土壤类型对桃树水分运转影响的模拟

根据不同土壤的水分特征曲线、气孔导度模型、冠层蒸腾模型和RC模型模拟出黄土高原不同土壤类型下桃树(Prunus persicavar.nectarina Maxim)的水分运转动态。在逐步干旱过程中各类土壤维持桃树蒸腾的时间和桃树散失的水分总量均依次为中壤土>轻壤土>紧砂土>重壤土,中壤土的保水能力最好,重壤土的可利用水最少,中壤土维持蒸腾的时间最长,但中壤土、轻壤土和紧砂土之间的保水能力与维持蒸腾的时间无显著差异。在整个干旱周期过程中气孔导度、叶片水势和组织贮存水均呈波动式减小,其总体趋势与土壤水势相一致。     

周原全新世土壤剖面木炭屑与野火活动的关系研究

研究陕西周原全新世黄土剖面磁化率曲线、总有机碳曲线、木炭屑曲线和野火活动及其与生态环境演变的关系结果表明,马兰黄土堆积时期气候干旱,在当时半荒漠草原上当地时常有自然野火发生;全新世大暖时期(85 0 0～310 0aB .P)气候湿润,生物成壤作用强度大,呈现森林或森林草原自然景观,野火活动极少发生;先周人迁居到周原地区(310 0aB .P)开始,人类用火及其放火烧荒开垦农田等活动,加之气候变得干旱,生物化学成壤作用减弱,致使生态环境发生重大变化,自然生态景观向半自然、半人工景观演替;15 0 0aB .P开始可耕种土地几乎开垦殆尽,生态景观完全被人工农田生态景观所代替;而近几百年来随着人口密度和聚落的增加,人类生活用火和垃圾随之加大,人类对土壤环境的干扰进一步增强     

Characterizing stand-replacing disturbance in western Alberta grizzly bear habitat, using a satellite-derived high temporal and spatial resolution change sequence

Timely and accurate mapping of anthropogenic and natural disturbance patterns can be used to better understand the nature of wildlife habitats, distributions and movements. One common approach to map forest disturbance is by using high spatial resolution satellite imagery, such as Landsat 5 Thematic Mapper (TM) or Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery acquired at a 30 m spatial resolution. However, the low revisit times of these sensors acts to limit the capability to accurately determine dates for a sequence of disturbance events, especially in regions where cloud contamination is a frequent occurrence. As wildlife habitat use can vary significantly seasonally, annual patterns of disturbance are often insufficient in assessing relationships between disturbance and foraging behaviour or movement patterns.The Spatial Temporal Adaptive Algorithm for mapping Reflectance Change (STAARCH) allows the generation of high-spatial (30 m) and -temporal (weekly or bi-weekly) resolution disturbance sequences using fusion of Landsat TM or ETM+ and Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. The STAARCH algorithm is applied here to generate a disturbance sequence representing stand-replacing events (disturbances over 1 ha in area) for the period 2001-2008, over almost 6 million ha of grizzly bear habitat along the eastern slopes of the Rocky Mountains in Alberta. The STAARCH algorithm incorporates pairs of Landsat images to detect the spatial extent of disturbances; information from the bi-weekly MODIS composites is used in this study to assign a date of disturbance (DoD) to each detected disturbed area. Dates of estimated disturbances with areas over 5 ha are validated by comparison with a yearly Landsat-based change sequence, with producer's accuracies ranging between 15 and 85% (average overall accuracy 62%, kappa statistic of 0.54) depending on the size of the disturbance event. The spatial and temporal patterns of disturbances within the entire region and in smaller subsets, representative of the size of a grizzly bear annual home range, are then explored. Disturbance levels are shown to increase later in the growing season, with most disturbances occurring in late August and September. Individual events are generally small in area (<10 ha) except in the case of wildfires, with, on average, 0.4% of the total area disturbed each year. The application of STAARCH provides unique high temporal and spatial resolution disturbance information over an extensive area, with significant potential for improving understanding of wildlife habitat use.     

不同促腐条件下秸秆直接还田对土壤养分时空动态变化的影响

通过两年田间定位试验,研究了冀东地区玉米秸秆连续直接还田对土壤氮素和磷素养分时空动态变化的影响。结果表明,玉米秸秆直接还田可明显提高土壤氮素和磷素供应水平。在调节秸秆C/N15∶1~35∶1范围内,调节秸秆不同C/N未改变秸秆还田后的转化进程,其转化对土壤氮素和磷素时空动态变化的影响亦无明显差异。在调节秸秆C/N的前提下配施促腐剂,使秸秆还田后的转化进程明显加快。     

A method to assess whether ‘preferential use’ occurs after N ammonium addition; implication for the N isotope dilution technique

The robustness of the assumption of equilibrium between native and added N during ¹⁵N isotope dilution has recently been questioned by Watson et al. (Soil Biol Biochem 32 (2000) 2019-2030). We re-analyzed their raw data using equations that consider the added and native NH₄⁺ and NO₃⁻ pools as separate state variables. Gross mineralization rates and first-order rate constants for NH₄⁺ and NO₃⁻ consumption were obtained by combining analytical integration of the differential equations with a non-linear fitting procedure. The first-order rate constants for NH₄⁺ consumption and NO₃⁻ immobilization for the added NH₄⁺ and NO₃⁻ pool were used to estimate gross mineralization rates and first-order rate constants for nitrification of native NH₄⁺. The latter were 2-4 times lower than the first-order rate constants derived from the added N pool. This discrepancy between first-order rate constants for nitrification implies that one or more process rates estimated for the added N pools cannot be applied to the native N pools. Preferential use of the added N resulted in an overestimation of the gross mineralization by 1.5-2.5-fold, emphasizing the need for critical evaluation of the assumption of equilibrium before gross mineralization rates are calculated.