Relationships between body weight and other morphological traits in young sea cucumbers Apostichopus japonicas

Correlation, multiple regression, and path analyses were used to investigate the relationships between body weight and three other morphological traits in juvenile Japanese sea cucumbers Apostichopus japonicus . We measured live body weight (BW), body length (BL), numbers of papillae (NP), and numbers of tube feet (NF) at 60, 80, 100, and 130 days post-hatching (dph). We calculated path correlation coefficients, correlation indices ( R 2 ), and coefficients of determination with BW as the dependent variable and the other morphological traits as independent variables. The coefficient of variation for BW was high across all age groups, and all measured morphological traits were significantly correlated ( P < 0.01). BL had the greatest direct eff ect on BW across all age groups (60 dph, 0.526;80 dph, 0.404;100 dph, 0.620;and 130 dph, 0.681), while NF had the greatest indirect eff ect on BW across all age groups (60 dph, 0.528;80 dph, 0.452;100 dph, 0.666;and 130 dph, 0.603). Regression analyses between morphological traits and BW indicated that R 2 was greater than 0.85 only in the 100-dph specimens. The indirect eff ects of the other measured morphological traits on BW were age-dependent. The optimal regression equations, as determined with stepwise regression, were, for 60-dph specimens: BW 60 =10 (-3.04+0.092BL+0.014NP+0.014NF)( R 2 =0.632);for 80-dph specimens: BW 80 =10 (- 3.035+0.056BL+0.017NP+0.02NF)( R 2 =0.686);for 100-dph specimens: BW 100 =10 (- 3.742+0.069BL+0. 633 · lg (NP)+0. 464 · lg (NF))( R 2 =0.893);and for 130-dph specimens: BW 130 =10 (- 2.472+0.065BL+0.012NP)( R 2 =0.774). Our work clarified the correlation between various morphological traits and body weight of a commercially-important sea cucumber species ( A . japonicus ). Our predictive models for body weight might be useful for the aquaculture and selective breeding of A . japonicus . These models might also provide theoretical support for the indirect selection of traits that are difficult to select directly.     

The evolution of the spatial-temporal patterns of global energy security since the 1990s

Journal of Geographical Sciences - In this study, we developed an energy security evaluation model (ESEM) from three dimensions, energy supply-transport security, safety of energy utilization, and...     

高质量增长背景下海洋经济发展的时空协调模式研究——基于环渤海地区地级市的实证

海洋经济协调发展是科学评价区域海洋经济发展质量的重要依据。遵循城市与海洋经济协同的发展理念,构建环渤海城市海洋经济发展时空协调度评价体系,运用复杂系统时空协调度评价模型,计算并分析2008~2016年环渤海城市海洋经济发展时空协调度,通过SaTScan软件分析其时空聚类区。研究结果显示：①海洋经济各系统发展水平中,社会系统呈大幅度分散上升趋势,经济系统、生态系统与综合系统呈小幅度集中与分散交替上升趋势;协调等级时序变化稳定型城市主要是大连、潍坊、青岛、烟台、威海。②协调度时空聚类区既有空间分异又有重叠交集,社会系统、综合系统、经济系统聚类区依次相互覆盖,生态系统与其它三系统既有重叠区也有独立区。③聚类区内部,社会系统最为稳定,综合系统、经济系统次之,生态系统最为薄弱。     

中国旅游城市生态安全系统评估与类型划分研究 ——基于节点权重约束网络DEA模型

采用 DPSIR概念模型作为旅游生态安全系统的基本形态,引入网络 DEA模型测度系统运行效率,从“投入-产出”的研究视角探究旅游生态安全系统内部作用机理。采用结构方程模型对网络 DEA模型的结构及权重加以限制,构建具有节点权重约束的网络 DEA评价模型,对主要旅游城市生态安全系统实例进行实证研究。研究结果认为：将生态安全系统分为自然运行阶段、管理反馈阶段2阶段进行效率评价,加权综合得出各旅游城市生态安全系统的综合评价值,以此为依据将样本城市划分为按系统效率的评价结果将其分划为绿色发展型、稳步发展型、高效发展型、双向提升型和管理能力缺失型,针对各类型旅游城生态安全系统特点提出改善其生态安全系统状况的建议。     

基于时间序列叶面积指数稀疏表示的作物种植区域提取

以华北平原黄河以北地区为研究区域,以时间序列叶面积指数LAI(Leaf Area Index)傅里叶变换的谐波特征作为不同作物识别的数据源,利用稀疏表示的分类方法识别2007年—2016年冬小麦、春玉米、夏玉米等主要农作物种植区域。首先利用上包络线Savitzky-Golay滤波分别对2007年—2016年的时间序列MODIS LAI曲线进行重构,进而对重构的年时间序列LAI进行傅里叶变换,以0—5级谐波振幅、1—5级谐波相位作为作物识别的依据,基于各类地物的训练样本,通过在线字典学习算法构建稀疏表示方法的判别字典,对每个待测样本利用正交匹配追踪算法求解稀疏系数,从而计算对应于各类地物的重构误差,根据最小重构误差判定待测样本的作物类型,并对作物识别结果的位置精度进行验证。结果表明,2007年—2016年作物识别的总体精度为77.97%,Kappa系数为0.74,表明本文提出的方法可以用于研究区域主要作物种植区域的提取。     

低分子量琼胶的抗氧化活性研究

采用化学发光法研究了低分子量琼胶清除羟基自由基(·OH)和超氧阴离子(O2·-)的活性。结果表明,4个组均有清除自由基的作用,其中A3的清除羟基自由基(·OH)的能力比阳性对照硫脲的效果好得多。S2-2,S2-3,S2-4,A3对超氧阴离子(O2·-)和羟基自由基的IC50值分别为:3.7,1.3,0.96,0.83g/L和1.94,1.28,0.85,0.26g/L。     

上海市水源地水质综合评价方法的探讨

基于2005年至2007年上海市陈行水库和青草沙水源地的监测资料,应用基于组合权重法的水质综合评价模型对水质状况进行了综合评价。并将综合评价结果与单因子评价结果进行比较分析。研究结果表明:基于组合权重法的水质综合评价模型简便、适用,利用样本信息较为全面,能够实现对水质客观、准确、量化的分类和排序,是一种较为有效的水质评价方法。     

1st0pt在沉降预测中的应用研究

预测方法有多种,找一种操作简单的方法较难。本文利用综合优化软件包1 st0pt,选用几种预测模型,通过对实测数据进行拟合,得出各种预测方法的计算模型,再利用最小二乘法原理,以预测绝对误差平方和最小为目标,给每种预测模型赋予不同的权重,组成规划方程,求出权重数列并组成新的预测模型,再对建筑物进行预测,将得到较好的预测结果。     

GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters

This article introduces a software package named GeoSurveillance that combines spatial statistical techniques and GIS routines to perform tests for the detection and monitoring of spatial clustering. GeoSurveillance provides both retrospective and prospective tests. While retrospective tests are applied to spatial data collected for a particular point in time, prospective tests attempt to incorporate the dynamic nature of spatial patterns via analyzing time-series data to detect emergent clusters as quickly as possible. This article will outline the structure of GeoSurveillance as well as describe the statistical cluster detection methods implemented in the software. It concludes with an illustration of the use of the software to analyze the spatial pattern of low birth weights in Los Angeles County, California.      

逐点内插法建立DEM的研究

本文讨论了移动拟合法和加权平均法两种逐点内插法建立DEM的原理及算法实现,并对其中的关键技术——动态确定阈值R和权函数的确定与实现进行了详细讨论。文章在分析常规权函数的基础上提出了一种新的定权方法。最后通过大量试验数据对两种内插方法的精度以及不同权函数的精度分别进行了评定。