东北鼢鼠生活习性初探

本文通过对东北鼢鼠生活习性定位监测,初步掌握了其活动规律与地形、气温、土壤湿度等生态因子变化的关系,同时还探讨了东北鼢鼠的雌雄比例,繁殖情况、洞道结构和食性等,为今后防治工作提供了科学依据。     

J172等5个柳树良种育苗试验

通过对5个柳树良种在不同类型区的扦插育苗试验,分析苗木生长量、生长季土壤含水量、土壤温度,结果表明:①各参试因素对生长量影响的程度依次为品种(系)>类型区>覆膜>扦插方法,因此在柳树壮苗培育中,应首先考虑优良品种的选择。②在不同类型区内,影响树木生长的主导生态因子亦不同。在高寒湿润区,热量是影响生长量的主导生态因子,故其覆用地膜的效果十分显著,其生长量较对照提高28.6%;在川塬区,土壤水肥是影响生长量的主导生态因子,故其覆用地膜的效果不太显著,应着重加强土壤水肥管理。     

农用地因素法与样地法分等对比研究——以重庆市丰都县为例

对现行《农用地分等规程》中因素法和样地法进行探讨，寻求农用地分等的最佳方法。文献资料法、比较分析法。《规程》中因素法分等使得研究区单元分值出现拐点，划分等别部分与实际不符；样地法分等结果则不存在这一问题。在农用地分等中，在县域内种植制度为一年两熟和一年一熟的地区采用样地法分等更合理。     

Analysis of a Long-term Experiment with Repeated-measurement Models

Long‐term experiments are a classical case of repeated measurements. Traits are measured on the same experimental unit over many years so that correlations arise between the observations made on the same plot in consecutive years. This paper describes the analysis of a three‐crop‐rotation long‐term experiment. We analysed the yields of the crops and the organic carbon content in the topsoil over 30 consecutive years. Several variance–covariance approaches are discussed and the trait‐specific best fit is interpreted. Mixed models are used to describe the structure of the experiment. Both yields and soil organic carbon show a more or less pronounced variance heterogeneity. Especially for yields, the heterogeneity of cycles and years is dominant. The consideration of correlations results in a better model fit in all cases.     

高分子吸水剂在沙地植被重建中的盆栽效果试验

本试验于2002年4～10月在红原县进行,其目的在于通过对吸水剂的盆栽试验,探讨吸水剂对植株生长的作用,从而达到节水重建植被的目的。     

基于Hough变换识别单周期正弦曲线图像的算法及实现

手工识别成像测井中的裂缝具有一定的主观性，不同的人可能会有不同的解释结果．作者介绍利用Hough变换自动识别裂缝的原理及其算法，并通过实例分析了其应用效果，结果表明，这种算法计算裂缝参数不仅精度可靠，还保证了裂缝参数拾取的唯一性，对实现井壁裂缝参数的完全自动解释有重要意义．     

标准差在单粒播种机试验中的应用

单粒播种机试验方法中的标准差与众不同,有很多专业特点,研究它利于提高试验水平,进而利于产品质量的提高。为此,探讨了标准差在单粒播种机试验中的应用。     

沙棘定向培育的试验研究

在内蒙古克什克腾旗对引进和选优的沙棘品种进行了13年的区域性试验，筛选出无刺、高V-C型、高氨基酸型、大果等10个有较高经济价值的沙棘优良类型，在筛选的基础上，结合生化测定，在不同立地条件下，定向栽培，推广面积达3000hm^2。     

Trends in NE Atlantic landings (southern Portugal): identifying the relative importance of fisheries and environmental variables

Time series of commercial landings from the Algarve (southern Portugal) from 1982 to 1999 were analyzed using min/max autocorrelation factor analysis (MAFA) and dynamic factor analysis (DFA). These techniques were used to identify trends and explore the relationships between the response variables (annual landings of 12 species) and explanatory variables [sea surface temperature, rainfall, an upwelling index, Guadiana river (south‐east Portugal) flow, the North Atlantic oscillation, the number of licensed fishing vessels and the number of commercial fishermen]. Landings were more highly correlated with non‐lagged environmental variables and in particular with Guadiana river flow. Both techniques gave coherent results, with the most important trend being a steady decline over time. A DFA model with two explanatory variables (Guadiana river flow and number of fishermen) and three common trends (smoothing functions over time) gave good fits to 10 of the 12 species. Results of other models indicated that river flow is the more important explanatory variable in this model. Changes in the mean flow and discharge regime of the Guadiana river resulting from the construction of the Alqueva dam, completed in 2002, are therefore likely to have a significant and deleterious impact on Algarve fisheries landings.     

林用架空索道导向滑车“h_2”值的确定

本文从理论上和实践上第一次论证了林用架空索道导向滑车的滑轮选择系数“h_2”为14,从而为导向滑车的设计和制造提供了新的可靠依据。