Spatio‐temporal trends of sailfish,Istiophorus platypterus catch rates in relation to spawning ground and environmental factors in the equatorial and southwestern Atlantic Ocean

Spatial and temporal trends of sailfish catch rates in the southwestern and equatorial Atlantic Ocean in relation to environmental variables were investigated using generalized additive models and fishery‐dependent data. Two generalized additive models were fit: (i) ‘spatio‐temporal’, including only latitude, longitude, month, and year; and (ii) ‘oceanographic’, including sea surface temperature (SST), chlorophyll‐a concentration, wind velocity, bottom depth, and depth of mixed layer and year. The spatio‐temporal model explained more (average ~40%) of the variability in catch rates than the oceanographic model (average ~30%). Modeled catch rate predictions showed that sailfish tend to aggregate off the southeast coast of Brazil during the peak of the spawning season (November to February). Sailfish also seem to aggregate for feeding in two different areas, one located in the mid‐west Atlantic to the south of ~15°S and another area off the north coast of Brazil. The oceanographic model revealed that wind velocity and chlorophyll‐a concentration were the most important variables describing catch rate variability. The results presented herein may help to understand sailfish movements in the Atlantic Ocean and the relationship of these movements with environmental effects.     

珠三角河网初级生产力时空差异及其影响因素

为评价珠三角河网初级生产力,于2015年3月、6月、9月、12月对其进行取样调查,采用多元统计方法研究初级生产力时空差异及其与环境因素关系。结果表明,珠三角河网初级生产力(碳,C)为98.81~927.21mg·(m~2·d)~(-1),均值为346.51 mg·(m~2·d)~(-1)。调查区域初级生产力季节变化明显,总体上表现为春季冬季夏季秋季。各站位初级生产力均值以珠江桥站位最高[600.61 mg·(m~2·d)~(-1)],市桥站位最低[232.60 mg·(m~2·d)~(-1)]。初级生产力与透明度、氮磷营养盐、叶绿素a呈正相关关系(P0.01,n=52),与硅酸盐呈负相关关系(P0.01,n=52),与水体富营养化综合指数(EI)呈线性相关关系。珠三角河网以中营养、富营养为主体,与其他水域相比,初级生产力较低,污染程度较严重,需防止其向富养化发展。     

Characterizing environmental and spatial variables associated with the incidental catch of olive ridley (Lepidochelys olivacea) in the Eastern Tropical Pacific purse‐seine fishery

In the Eastern Tropical Pacific (ETP), a region of high fishing activity, olive ridley (Lepidochelis olivacea) and other sea turtles are accidentally caught in fishing nets with tuna and other animals. To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse‐seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free‐swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. With the environmental predictors used, sea surface temperatures (SST) of 26–30°C and chlorophyll‐a (chl‐a) concentrations <0.36 mg m^?3 were associated with the highest probability of an incidental catch. Temporally, the highest probability of an incidental catch was observed in the second half of the year (June to December). Four regions were observed as high incidental catch hotspots: North and south of the equator between 0–10°N; 0–10°S and from 120 to 140°W; and along the Colombian coast and surrounding regions.     

莱州湾头足类的群落结构及其与环境因子的关系

为了掌握莱州湾头足类的资源现状,根据2011—2012年进行的9个月份的底拖网调查数据,研究了莱州湾头足类的群落结构及其与环境因子的关系。结果显示,148网次共捕获头足类6种,隶属于3目、3科、4属。头足类生物量及个体数均以10月最高、3月最低,周年平均值分别为3 111.39 g/h和723.54个/h。枪乌贼为莱州湾头足类的绝对优势种,其周年的相对重要性指数为13 097。头足类个体数的空间分布随月份变化,6—7月以莱州湾中南部密度较高,8—11月以莱州湾中北部密度较高,3—5月头足类的密度整体较低。CLUSTER和MDS分析将9个调查月份分为4个群组,ANOSIM分析显示群组两两间的群落结构均呈显著性差异,SIMPER分析表明枪乌贼对群组区分的贡献最大。头足类的个体数分布与浮游动物密度的相关性最高。生殖洄游和越冬洄游是影响莱州湾头足类空间分布季节变化的首要因素。研究结果可为莱州湾头足类资源的可持续利用和保护提供科学依据。     

广东沿岸牡蛎体Cd含量及时空分布特点

根据 198 9～ 1997年广东沿岸 12个采样点近江牡蛎 (CrassostrearivularisGould)体Cd的测定数据和有关历史资料 ,分析了广东沿岸牡蛎体Cd含量与时空分布特点。所有牡蛎体样品均检出Cd ,含量为( 0 .0 8～ 7.81)× 10 - 6,总平均值为 1.92× 10 - 6。粤东与粤西沿岸除个别样品外 ,绝大部分Cd含量均远低于评价标准 ,而珠江口沿岸样品的超标率则达到 2 5%。牡蛎体Cd含量的空间分布呈珠江口 >粤西 >粤东。1989～ 1997年 ,牡蛎体Cd含量的年际变化呈双峰分布 ,次高值和最高值分别出现在 1992年和 1995年 ,其余年份虽有波动 ,但无显著差异。     

1984－2017年洪泽湖湿地植被覆盖度变化及对水位的响应

为揭示洪泽湖湿地植被覆盖度变化状况,探讨其变化趋势,并分析植被覆盖度与水位的相关关系。本文基于1984－2017年间42期的TM/ETM+/OLI数据,采用像元二分模型估算洪泽湖湿地植被覆盖度,分析研究区域近34年来植被覆盖度的整体特征及动态变化趋势。利用归一化差异水体指数提取洪泽湖的水体信息,同时结合植被覆盖度与其对应的水位监测数据,运用统计分析的方法构建洪泽湖四季的植被覆盖度－水体面积－水位关系模型。结果表明：(1) 研究时段上,洪泽湖湿地的整体植被覆盖度呈略微降低的趋势,中高和高植被覆盖区主要分布于研究区域的西北部及南部。(2) 1984－2017年间,洪泽湖的植被覆盖情况以退化为主,退化面积约为576.1km2,其中不显著退化(82.3%)所占比重最大。(3) 整体上看,研究区的植被覆盖度、水体面积与水位呈极显著性相关,根据三者关系模型得出四季的最适宜水位为春季12.3m、夏季12.9m、秋季12.1m和冬季12.2m。研究结果可为洪泽湖湿地生态环境的科学管理提供理论支撑与技术参考。     

优质抗寒、抗病酿造葡萄新品种‘北红’

 ‘北红’葡萄新品种由‘玫瑰香’与‘山葡萄’杂交育成。浆果在北京地区9月底成熟。果粒圆形,蓝黑色,果粒质量1.57g,果穗质量160.0 g,浆果可溶性固形物含量23.8 %～ 27.0 %,含酸量0.89～1.26 %。早果性及丰产性强。抗寒、抗病能力特强。酿成的酒深宝石红色,酒体平衡,酒质上等。     

基于Web的农机选型智能决策支持系统设计

根据农业机械在农业生产中的应用,结合计算机网络技术,设计了基于Web的农业机器选型智能决策支持系统;同时,阐述了其设计目标及原理,讨论和分析了系统的体系结构,给出了系统的4个主要功能模块,并确定了系统的总体结构。     

基于粗糙集的属性约简算法在农业机械中的应用

传统的利用区分矩阵进行属性约简算法,其时间复杂度和空间复杂度很大.近年来提出了各种启发式算法,其时间复杂度由原来指数级递增降到了平方级递增,但此算法并不能保证找到最优解.为此,提出了属性约简的改进算法,其在时间复杂度和空间复杂度上都降低很多,易于求出最优解.把此算法用于对一款农业机械的评估判断和规则提取,用VC++和SQL Server 2000进行实现,并通过专家数据验证其正确性.     

区域尺度土壤入渗特征参数的变异性研究

以杨凌地区为例,进行野外双环入渗试验研究,运用2种常用模型(Kostiakov模型和Philip模型)对土壤入渗参数进行模拟。在分析土壤特征参数,寻求适合区域尺度的最优入渗模型同时,对土壤的状态变量进行标定并研究标定系数的空间变异性,研究结果表明:Philip模型可作为区域最优入渗模型,土壤入渗特征参数存在明显的空间变异性,标定系数aA比as对模型参数的标定效果好,且在较大范围内存在一定的趋势性,有较好的预测效果。因此,可根据标定系数随机模拟得到某一具体时刻的土壤入渗量的空间分布,为定量分析土壤水分运动、研究土壤水分入渗的空间分布提供理论基础。