野生金头闭壳龟的资源现状调查

笔者于2001-2004年对金头闭壳龟(Cuoraaurocapitata)的野生种群的分布、数量及相关生态学进行了专项调查。结果表明,金头闭壳龟目前仅分布于青弋江源头和上游即北纬30°-30°52′的少数支流中,具体为安徽省泾县的古坝、蔡村和孤峰三地的山涧溪流以及黟县红星乡的清溪河流域。野外种群数量十分稀少,目前已不足400只。金头闭壳龟主要栖息在水质清澈、两侧植被茂密或一侧山脚多石缝的山涧溪流中。经对曾经发现过金头闭壳龟典型地带的各种生态指标的测量表明,泾县古坝乡沈村上沈村段的古坝河段的以及蔡村乡的东园至爱民段的丁溪河段,相比而言仍不失为金头闭壳龟较为理想的栖息地。     

三江源区高寒草原土壤湿度变化特征及与气候因子的关系

利用青海省三江源区兴海县牧业气象站1999-2016年高寒草原土壤湿度、牧草生育期资料,分析了高寒草原土壤湿度的年、季变化特征以及牧草生长季不同生育期土壤湿度的变化特征及与气候因子的关系。结果表明:高寒草原0-10、10-20、20-30、30-40和40-50 cm土壤湿度均随年际延长呈增加趋势,春季除40-50 cm土层外,其他各层土壤湿度均随年际延长呈显著增加趋势(P<0.05)。高寒草原牧草生长季的土壤相对湿度随年际延长呈显著上升趋势(P<0.05),且与生长季降水量之间呈极显著正相关关系(P<0.01)。随着气候变化,牧草抽穗、开花、成熟和枯黄期的土壤相对湿度随年际延长呈显著增加趋势(P<0.05)。牧草抽穗期、枯黄和全生育期的土壤湿度与气温呈显著负相关关系(P<0.05)。高寒草原牧草生长季土壤湿度的增加有利于草地植被生长。     

VEGF在绵羊生殖管道中的表达规律

以不同发情周期雌性绵羊子宫、输卵管为研究对象,采用免疫组织化学技术,针对血管内皮生长因子（VEGF）在绵羊子宫、输卵管的表达、定位和变化规律进行了检测,同时应用相关图像分析软件对抗原染色强度进行了定量分析。结果表明：输卵管在发情0～15d,VEGF表达量在第9天达到峰值后经历波动逐渐下降过程,输卵管内膜上皮细胞是VEGF抗原的主要靶细胞;而子宫角在发情0～15d,VEGF表达量在第5天达到峰值后经历波动逐渐下降过程,子宫内膜固有层及腺体周围细胞为VEGF抗原的主要靶细胞。该研究结果为绵羊生产中进一步提高受胎率和妊娠率及频密产羔等技术的应用提供了科学依据。     

Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform

Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution for different rotor spreaders and blower configurations. Compared to previously used methods, capturing pellets thrown from a rotary feed spreader in rows of Styrofoam boxes, the UAV based method is simpler and faster to setup and allows to cover a larger portion of the sea cage surface area. We compare results obtained with the Styrofoam box method with results we obtained by an automatic analysis of aerial videos taken by the UAV during feeding experiments. The employed method helps to gain insight into the spatial feed pellet distribution in full-scale salmon fish-cages where the feeding pipe and actual fixation of the spreader may influence the dynamic behaviour of the feeding system. This can also be seen as a step towards a continuous measuring of the feed pellet distribution, particularly in view of possible future feeding systems that may allow to adapt the feed pellet distribution to the actual fish distribution.     

安徽省农业气象灾害时间分布特征与灰色关联分析

为了探寻安徽省农业气象灾害的分布特点以及各种气象灾害对粮食生产的影响,本研究基于安徽省1992—2012年有关气象灾害数据,对4种主要气象灾害(旱灾、水灾、风雹灾、霜冻灾)的分布特征进行统计分析,并采用灰色关联分析研究其对安徽省粮食单产的影响。结果表明:1992—2012年,安徽省气象灾害具有发生频率高、波动大的特点,但整体上呈下降趋势。旱灾和水灾是发生面积较大的气象灾害,且常在时间上交织、空间上并存。灰色关联分析表明,4种气象灾害对粮食产量影响顺序:风雹灾水灾旱灾霜冻灾,说明风雹灾是影响粮食产量最主要的气象灾害,其次是水灾、旱灾,霜冻灾影响较小。本研究可为安徽省防灾减灾措施的制定提供决策依据。     

基于GIS的农村居民点空间分布特征研究----以扶余市为例

科学认识乡村地域结构是全面推进农业农村现代化和乡村振兴的基础。本文以扶余市第二次土地调查调数据为基础，借助ArcGIS空间分析软件，运用规模分析、核密度估算、缓冲区分析，从用地规模、分布格局与土地利用条件方面探讨扶余市农村居民点地域分异特征。研究表明：扶余市以微、小型居民点居多，居民点数量随着规模的增大逐渐减少，居民点之间的距离差异较大，总体呈现大散居、小聚居，不均匀分散分布；农村居民点的平均核密度为0.4个/km2，空间布局呈东南部高密度集聚成片，向西逐渐密度降低，西部零散错落分布；居民点分布呈现较强的城镇指向性，交通用地对居民点有集聚的作用，河流对微型居民点和大型居民点有集聚吸引的功能。     

基于MCMC模拟的MGPD模型及其在地质灾害风险度量中的应用

基于马尔科夫链蒙特卡洛(简记为MCMC)模拟的参数贝叶斯估计,对改进的广义帕累托分布(简记为MGPD)模型进行了优化,并利用该模型得到了地质灾害损失的在险损失值(简记为VaR)和条件损失值(简记为CVaR).以湖南娄底市地质灾害损失数据进行实证分析及模型适应性检验,结果表明:优化后的模型不仅具有很好的极值数据描述能力,而且具有较强的适用性.     

基于图书出版发行现状的图书馆采访工作创新

本文着重分析了当前我国图书出版发行环境中出现的一些新的变化、新的特点和新的问题,并提出了在图书馆采访工作中,针对这些问题可采取相应的措施。     

农林类高校校园文化视野下的大学生能力素质提升途径的研究

在指出校园文化是大学生能力素质提升的重要途径的基础上,分析了校园文化建设在促进大学生的能力素质提升过程中的各种作用,并提出了促进大学生能力素质提升的校园文化建设的途径。     

Geostatistical interpolation and aggregation of crop growth model outputs

Many crop growth models require daily meteorological data. Consequently, model simulations can be obtained only at a limited number of locations, i.e. at weather stations with long-term records of daily data. To estimate the potential crop production at country level, we present in this study a geostatistical approach for spatial interpolation and aggregation of crop growth model outputs. As case study, we interpolated, simulated and aggregated crop growth model outputs of sorghum and millet in West-Africa. We used crop growth model outputs to calibrate a linear regression model using environmental covariates as predictors. The spatial regression residuals were investigated for spatial correlation. The linear regression model and the spatial correlation of residuals together were used to predict theoretical crop yield at all locations using kriging with external drift. A spatial standard deviation comes along with this prediction, indicating the uncertainty of the prediction. In combination with land use data and country borders, we summed the crop yield predictions to determine an area total. With spatial stochastic simulation, we estimated the uncertainty of that total production potential as well as the spatial cumulative distribution function. We compared our results with the prevailing agro-ecological Climate Zones approach used for spatial aggregation. Linear regression could explain up to 70% of the spatial variation of the yield. In three out of four cases the regression residuals showed spatial correlation. The potential crop production per country according to the Climate Zones approach was in all countries and cases except one within the 95% prediction interval as obtained after yield aggregation. We concluded that the geostatistical approach can estimate a country’s crop production, including a quantification of uncertainty. In addition, we stress the importance of the use of geostatistics to create tools for crop modelling scientists to explore relationships between yields and spatial environmental variables and to assist policy makers with tangible results on yield gaps at multiple levels of spatial aggregation.