海洋学报（中文版）
海洋學報（中文版）
해양학보（중문판）
ACTA OCEANOLOGICA SINICA
2014年
12期
74-84
,共11页
空间热点%Voronoi 图%空间自相关%柔鱼%西北太平洋
空間熱點%Voronoi 圖%空間自相關%柔魚%西北太平洋
공간열점%Voronoi 도%공간자상관%유어%서북태평양
spatial hot spot%Voronoi diagram%spatial autocorrelation%Ommastrephes bartramii%Northwestern Pacific Ocean
以西北太平洋柔鱼Ommastrephes bartramii 为例，基于2007—2010年中国鱿钓船的生产统计原始点位数据，利用 Voronoi 图和空间自相关方法，评估柔鱼资源的全局空间模式、局部空间聚集特征，并以空间可视化方式呈现。在渔业资源及空间分析中，高产值聚集的海域称为空间热点，而低产值聚集的海域称为空间冷点。研究表明，全局自相关统计量 Moran's I 和 General G 均指示了西北太平洋柔鱼资源的聚集分布状态。局部空间自相关显示，2007和2009年均具有2个热点和1个冷点区域，2008年具有1个热点和1个冷点区域，2010年具有1个热点和2个冷点区域，这些热冷点呈南北向或东西向分布态势。热冷点格局的叠加图显示，研究区内存在1个强热点、1个弱热点和1个强冷点，其中弱热点覆盖的区域在4年间表现为热点和冷点的交互变动。对7—11月平均海表温度和叶绿素 a浓度的分析显示，热点和冷点均为中心渔场，热冷点形成的温度条件无显著差异；热冷点形成的叶绿素 a 浓度范围为0．2～1．1 mg／m3，其中冷点区域的浓度相对较高。
以西北太平洋柔魚Ommastrephes bartramii 為例，基于2007—2010年中國魷釣船的生產統計原始點位數據，利用 Voronoi 圖和空間自相關方法，評估柔魚資源的全跼空間模式、跼部空間聚集特徵，併以空間可視化方式呈現。在漁業資源及空間分析中，高產值聚集的海域稱為空間熱點，而低產值聚集的海域稱為空間冷點。研究錶明，全跼自相關統計量 Moran's I 和 General G 均指示瞭西北太平洋柔魚資源的聚集分佈狀態。跼部空間自相關顯示，2007和2009年均具有2箇熱點和1箇冷點區域，2008年具有1箇熱點和1箇冷點區域，2010年具有1箇熱點和2箇冷點區域，這些熱冷點呈南北嚮或東西嚮分佈態勢。熱冷點格跼的疊加圖顯示，研究區內存在1箇彊熱點、1箇弱熱點和1箇彊冷點，其中弱熱點覆蓋的區域在4年間錶現為熱點和冷點的交互變動。對7—11月平均海錶溫度和葉綠素 a濃度的分析顯示，熱點和冷點均為中心漁場，熱冷點形成的溫度條件無顯著差異；熱冷點形成的葉綠素 a 濃度範圍為0．2～1．1 mg／m3，其中冷點區域的濃度相對較高。
이서북태평양유어Ommastrephes bartramii 위례，기우2007—2010년중국우조선적생산통계원시점위수거，이용 Voronoi 도화공간자상관방법，평고유어자원적전국공간모식、국부공간취집특정，병이공간가시화방식정현。재어업자원급공간분석중，고산치취집적해역칭위공간열점，이저산치취집적해역칭위공간랭점。연구표명，전국자상관통계량 Moran's I 화 General G 균지시료서북태평양유어자원적취집분포상태。국부공간자상관현시，2007화2009년균구유2개열점화1개랭점구역，2008년구유1개열점화1개랭점구역，2010년구유1개열점화2개랭점구역，저사열랭점정남북향혹동서향분포태세。열랭점격국적첩가도현시，연구구내존재1개강열점、1개약열점화1개강랭점，기중약열점복개적구역재4년간표현위열점화랭점적교호변동。대7—11월평균해표온도화협록소 a농도적분석현시，열점화랭점균위중심어장，열랭점형성적온도조건무현저차이；열랭점형성적협록소 a 농도범위위0．2～1．1 mg／m3，기중랭점구역적농도상대교고。
An integrated method of Voronoi diagram and spatial autocorrelation was used to explore global spatial pattern,local spatial hot spot and its variation of fishery resources abundance of Ommastrephes bartramii in the Northwest Pacific Ocean.The O.bartramii within the boundaries from 38°N to 45°N and 150°E to 160°E from 2007 to 2010 in the Northwest Pacific Ocean was selected as the research subjects,based on the original fishing da-ta of each fishing boat of China.Using an ArcGIS environment,the spatial aggregation patterns of O.bartramii were revealed by using the global spatial autocorrelation statistics of both Moran's I and General G,as well as mapped both spatially and visually.In the fields of fisheries resources and spatial analysis,sea areas with clustered high productivity are hot spots,whereas sea areas with clustered low productivity are cold spots.The local spatial autocorrelation statistics show that,there were 2 hot spots and 1 cold spot in both 2007 and 2009,and there were 1 hot spot and 1 cold spot in 2008,while there were 1 hot spot and 2 cold spot in 2010.These hot or cold spots were distributed along either a north-south or an east-west axis.An overlay map of the four years of hot/cold spots demonstrates that there was 1 strong hot spot,1 weak hot spot and 1 strong cold spot across the study area.The strong hot/cold spots were always the same spots for each year,while the weak hot spot was changed its state be-tween a hot spot and a cold spot.An analysis of the variation of spatial hot spots based on monthly mean (July to November)sea surface temperature (SST)and monthly mean (July to November)chlorophyll-a concentration <br> (Chl a)demonstrated that,both hot spots and cold spots are central fishing grounds.There is not obvious differ-ence of SST between the hot and cold spots,while the hot and cold spots were observed in the areas with 0.2 to 1.1 mg/m3 Chl a concentration but the Chl a concentration of a cold spot is larger than that of a hot spot.
