砖红壤香蕉园土壤养分空间变异研究

运用统计学和ArcGIS软件的地统计分析模块对海南砖红壤香蕉园59个土壤采样点两个取样土层（0～20 cm和20～40 cm）养分进行空间变异性研究。结果表明：香蕉园土壤各养分变异系数均为中等变异。0～20 cm土层土壤各养分含量大于20～40 cm土层。0～20 cm和20～40 cm土层中的碱解氮、交换性钙和交换性镁及0～20 cm土层的有机质均符合高斯模型，0～20 cm土层速效磷与20～40 cm土层速效钾符合球状模型，而20～40 cm土层速效磷与0～20 cm土层速效钾符合圆形模型，20～40 cm土层有机质符合指数模型。各养分的变程范围为109.217～279.796 m，有机质具有强烈的空间相关性。0～20 cm土层速效钾的块金效应值小于20～40 cm土层，0～20 cm土层碱解氮、速效磷、交换性钙、交换性镁高于20～40 cm土层。有机质、20～40 cm土层速效磷、0～20 cm土层速效钾的块金效应小于25%，其它养分均在25%～75%，具有中等的空间相关性。确定了合理取样数，0～20 cm碱解氮、速效磷、速效钾、交换性钙、交换性镁、有机质合理取样数分别为：5、30、26、29、25、3；20～40 cm碱解氮、速效磷、速效钾、交换性钙、交换性镁、有机质合理取样数分别为：4、44、30、26、25、3，就可以满足变量施肥的要求。     

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。     

蜡蝉科(半翅目：头喙亚目)昆虫起源及分布格局研究

【目的】探究蜡蝉科及其各亚科的分布格局与起源。【方法】根据世界动物地理分区,以搜集到的标本和权威文献记录为依据,建立蜡蝉科物种及地理分布数据库,采用Arc-GIS软件的地理信息处理功能对地理分布数据库进行运算,得到蜡蝉科物种地理分布图,用区系相似系数分析区域间物种的相似性。【结果】(1)蜡蝉科在新热带区分布的种类最多,达290种,其次是东洋区、非洲区和澳洲区,在新北区和古北区较少;(2)新热带区分布的属和特有属最多,非洲区次之,东洋区的特有属比例小于前2个大区,澳洲区分布属较少,但特有属比例很高,古北区分布的特有属明显较少,新北区无特有属分布;(3)新北区和新热带区蜡蝉科物种的相似系数为4.38,古北区与东洋区的相似系数为2.29,其他各区之间的相似系数都较低。蜡蝉科中Lyncidinae、Phenacinae、Poiocerinae和Strongylodematinae 4个亚科均起源于新世界;Aphaeninae、Xosopharinae和Zanninae 3个亚科起源于旧世界;Amyclinae、Dichopterinae、Enchophorinae和Fulgorinae 4个亚科可能分别起源于新世界和旧世界。【结论】各大区间蜡蝉科种类相似性系数高低与该科的地质演化历史密切相关。蜡蝉科可能起源于新世界和旧世界,起源时间可能在白垩纪早期,距今约135 Ma。     

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。     

海南省蔬菜根结线虫发生种类与分布

2014年-2018年, 对海南省蔬菜根结线虫病害进行了田间随机采样调查和病原种类分子鉴定?结果显示, 蔬菜根结线虫病在海南18市县均有发生, 且大部分旱田连作地块病株率达到80%以上?进一步对采集的295份根结线虫样本种类进行了分子鉴定, 共鉴定出象耳豆根结线虫?南方根结线虫和爪哇根结线虫3种病原种?其中, 象耳豆根结线虫单一检出率达到62.37%, 南方根结线虫单一检出率为23.39%, 爪哇根结线虫的检出率仅为5.76%, 象耳豆根结线虫和南方根结线虫复合侵染检出率为8.47%?除五指山市样本以外, 海南其余17市县样本均检测到象耳豆根结线虫侵染为害?本研究显示象耳豆根结线虫为海南省蔬菜上的优势病原根结线虫种类, 该结果对指导品种布局?制定根结线虫病害的防治策略具有重要意义?     

国土空间详细规划现状底图底数转换方法研究

统一底图底数是编制各类空间规划的重要前提和基础,第三次国土调查数据作为当前权威性最高、现势性最强的国土空间利用现状数据,所采用的工作分类与国土空间规划采用的用地用海分类存在较大差异。本文通过对工作分类和用地用海分类进行衔接分析,提出了基于第三次国土调查数据的国土空间详细规划现状底图底数转换的总体技术思路、关键技术方法。     

The Relationship Between Vegetation Characteristics and Altitudes in Transitional Permafrost Zone in Xidatan,Qinghai-Tibetan Plateau

Many studies showed that permafrost has profound influence on alpine ecosystem. However, former researches were mainly focused on typical points by temporal scales. There were few studies about the correlation between vegetation characteristics and different altitudes covering a large region in spatial pattern, especially in transitional permafrost(TP). There were continuous permafrost(CP) discontinuous permafrost(DCP) and seasonal frozen ground(SFG) in this study region. The types of permafrost changed from SFG to DCP, and finally become CP as the altitudes of Xidatan increase. In this paper, 112 845 points interpreted by HJ1-B(environment and disaster monitoring and prediction small satellite constellation), vegetation investigation points, thawing layer thickness research sites, ground temperature and water content observation plots were used to examine the spatial pattern of vegetation which were located in different altitudes in Xidatan, a typical TP region, in Qinghai-Tibetan Plateau. Vegetation characteristics, soil moisture content(SMC) and thaw depths were collected in 15 August to 25 August2012. Characteristics of vegetation were mainly represented by fractional vegetation cover(FVC) derived from the normalized difference vegetation index(NDVI), as well as above ground biomass(AGB). In this paper, we analyzed that the distinction of vegetation characteristics in each range through statistics data. These ranges were divided by varied altitudes. For examples, the ranges were divided into 50 m or 100 m. In this study we use a large area plots method to further discuss the relationship between the features of vegetation and the different regions of permafrost based on altitudes shifts in Xidatan. A diagram described the vegetation characteristics variability with rising altitudes in transitional permafrost region was drawn in this paper. Our results illustrated the FVCs first increased in SFG region and then decreased in DCP zone slowly, and in CP region FVCs soared then dropped dramatically. With the altitudes increased, the curve of FVCs indicated a parabolic distribution except a little difference in the first 200 m range.