Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean

FENG Yongjiu CHEN Xinjun GAO Feng LIU Yang

冯永玖, 陈新军, 高峰, 刘杨. 空间尺度对Getis-Ord Gi*获取的CPUE热点模式的影响:以西北太平洋柔鱼为例[J]. 海洋学报英文版, 2018, 37(5): 67-76. doi: 10.1007/s13131-018-1212-6
引用本文: 冯永玖, 陈新军, 高峰, 刘杨. 空间尺度对Getis-Ord Gi*获取的CPUE热点模式的影响:以西北太平洋柔鱼为例[J]. 海洋学报英文版, 2018, 37(5): 67-76. doi: 10.1007/s13131-018-1212-6
FENG Yongjiu, CHEN Xinjun, GAO Feng, LIU Yang. Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean[J]. Acta Oceanologica Sinica, 2018, 37(5): 67-76. doi: 10.1007/s13131-018-1212-6
Citation: FENG Yongjiu, CHEN Xinjun, GAO Feng, LIU Yang. Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean[J]. Acta Oceanologica Sinica, 2018, 37(5): 67-76. doi: 10.1007/s13131-018-1212-6

空间尺度对Getis-Ord Gi*获取的CPUE热点模式的影响:以西北太平洋柔鱼为例

doi: 10.1007/s13131-018-1212-6
基金项目: The National Natural Science Foundation of China under contract No. 41406146; the Open Fund from Laboratory for Marine Fisheries Science and Food Production Processes at Qingdao National Laboratory for Marine Science and Technology of China under contract No. 2017-1A02; Shanghai Universities First-class Disciplines Project-Fisheries (A).

Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean

  • 摘要: 空间尺度(渔业网格)不仅影响CPUE全局分布模式,而且影响其局部分布模式及其与海洋环境的关系。在空间多尺度下,本文研究了西北太平洋柔鱼(Ommastrephes bartramii)CPUE热点和冷点分布的尺度关系和尺度效应。将原始渔业数据重采样为从5'×5'到90'×90'的18个空间尺度,以5'的尺度间隔来识别局部聚类簇。论文系统分析了Getis-Ord Gi*热点和冷点的位置、边界、经典统计量随空间尺度的变化。具体地,分析了空间热点和冷点的最小值(Min)、均值(Mean),最大值(Max)、标准差(SD)、变异系数(CV)、偏度、峰度、第一四分位数(Q1)、中位数、第三四分位数(Q3)、面积和质心等统计量的空间尺度影响。在空间尺度影响分析中,主要考虑线性、对数、指数、幂律和多项式等尺度研究中的常见关系。对于热点和冷点,最大值、标准偏差和峰度具有显著的空间尺度关系,其余统计量一部分在热冷点间存在尺度影响的差异,而另一部分没有明确的尺度关系。研究结果表明,由于不同尺度的热点和冷点的边界和位置与原始尺度的边界和位置明显不同,不建议采用大于30'的网格来分析柔鱼资源的局部空间模式。
  • Anselin L. 1995. Local indicators of spatial association-LISA. Geogr Anal, 27(2):93-115
    Anselin L. 2004. Exploring spatial data with GeoDaTM:a workbook. Urbana, USA:University of Illinois, 61801
    Arkhipkin A I, Murzov S A. 1986. Age and growth patterns of dosidicus gigas (Ommastrephidae). In:Ivanov B G, ed. Present State of Fishery for Squids and Prospects of Its Development. Moscow:VNIRO Press, 107-123
    Carocci F, Bianchi G, Eastwood P, et al. 2009. Geographic Information Systems to Support the Ecosystem Approach to Fisheries:Status, Opportunities and Challenge. Rome, Italy:Food and Agriculture Organization of the United Nations
    Chen Xinjun, Chen Yong, Tian Siquan, et al. 2008. An assessment of the west winter-spring cohort of neon flying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean. Fish Res, 92(2-3):221-230
    Chen C S, Chiu T S. 2003. Variations of life history parameters in two geographical groups of the neon flying squid, Ommastrephes bartramii, from the North Pacific. Fish Res, 63(3):349-366
    Chen Xinjun, Tian Siquan, Guan Wenjian. 2014. Variations of oceanic fronts and their influence on the fishing grounds of Ommastrephes bartramii in the Northwest Pacific. Acta Oceanol Sin, 33(4):45-54
    Ciannelli L, Fauchald P, Chan K S, et al. 2008. Spatial fisheries ecology:Recent progress and future prospects. J Mar Syst, 71(3-4):223-236
    Cope J M, Punt A E. 2011. Reconciling stock assessment and management scales under conditions of spatially varying catch histories. Fish Res, 107(1-3):22-38
    Ebdon D. 1985. Statistics in Geography:A Practical Approach. 2nd ed. London:Wiley-Blackwell
    Feng Yongjiu, Chen Xinjun, Liu Yan. 2016. The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. Fish Res, 183:1-12
    Feng Yongjiu, Chen Xinjun, Liu Yan. 2017a. Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean. Chin J Oceanol Limnol, 35(4):921-935
    Feng Yongjiu, Chen Xinjun, Yang Liu. 2017b. Examining spatiotemporal distribution and CPUE-environment relationships for the jumbo flying squid Dosidicus gigas offshore Peru based on spatial autoregressive model. Chin J Oceanol Limnol:doi: 10.1007/s00343-018-6318-3
    Feng Yongjiu, Cui Li, Chen Xinjun, et al. 2017c. A comparative study of spatially clustered distribution of jumbo flying squid (Dosidicus gigas) offshore Peru. J Ocean Univ China, 16(3):490-500
    Feng Yongjiu, Liu Yan. 2015. Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics. Ecol Indic, 53:18-27
    Fosså J H, Mortensen P B, Furevik D M. 2002. The deep-water coral Lophelia pertusa in Norwegian waters:distribution and fishery impacts. Hydrobiologia, 471(1-3):1-12
    Gao Feng, Chen Xinjun, Guan Wenjiang, et al. 2016. A new model to forecast fishing ground of Scomber japonicus in the Yellow Sea and East China Sea. Acta Oceanol Sin, 35(4):74-81
    Getis A, Aldstadt J. 2010. Constructing the spatial weights matrix using a local statistic. In:Anselin L, Rey S J, eds. Perspectives on Spatial Data Analysis. Berlin, Heidelberg:Springer, 147-163
    Getis A, Ord J K. 1996. Spatial analysis and modeling in a GIS environment. In:McMaster R B, Lynn Usery E, eds. A Research Agenda for Geographic Information Science. Boca Raton:CRC Press, 157-196
    Gilly W F, Markaida U, Baxter C H, et al. 2006. Vertical and horizontal migrations by the jumbo squid Dosidicus gigas revealed by electronic tagging. Mar Ecol Prog Ser, 324:1-17
    Gong Caixia, Chen Xinjun, Gao Feng, et al. 2014. Effect of spatial and temporal scales on habitat suitability modeling:A case study of Ommastrephes bartramii in the northwest pacific ocean. J Ocean Univ China, 13(6):1043-1053
    Guinet C, Dubroca L, Lea M A, et al. 2001. Spatial distribution of foraging in female Antarctic fur seals Arctocephalus gazella in relation to oceanographic variables:a scale-dependent approach using geographic information systems. Mar Ecol Prog Ser, 219:251-264
    Gutiérrez N L, Masello A, Uscudun G, et al. 2011. Spatial distribution patterns in biomass and population structure of the deep sea red crab Chaceon notialis in the Southwestern Atlantic Ocean. Fish Res, 110(1):59-66
    Harford W J, Ton C, Babcock E A. 2015. Simulated mark-recovery for spatial assessment of a spiny lobster (Panulirus argus) fishery. Fish Res, 165:42-53
    Huang Jiansheng, Sun Yao, Jia Haibo, et al. 2014. Spatial distribution and reconstruction potential of Japanese anchovy (Engraulis japonicus) based on scale deposition records in recent anaerobic sediment of the Yellow Sea and East China Sea. Acta Oceanol Sin, 33(12):138-144
    Jain A K. 2010. Data clustering:50 years beyond K-means. Pattern Recogn Lett, 31(8):651-666
    Jennings S, Kaiser M, Reynolds J D. 2009. Marine Fisheries Ecology. New York:John Wiley & Sons
    Jiang Tao, Chai Chai, Wang Jifang, et al. 2016. Temporal and spatial variations of abundance of phycocyanin- and phycoerythrin-rich Synechococcus in Pearl River Estuary and adjacent coastal area. J Ocean Univ China, 15(5):897-904
    Meaden G J, Aguilar-Manjarrez J. 2013. Advances in Geographic Information Systems and Remote Sensing for Fisheries and Aquaculture. Roma, Italy:Food and Agriculture Organization of the United Nations
    Mitchell A. 2005. The ESRI Guide to GIS Analysis, Volume 2:Spatial Measurements and Statistics. Redlands, CA:Esri Press
    Mullon C, Fréon P, Cury P. 2005. The dynamics of collapse in world fisheries. Fish Fish, 6(2):111-120
    Nishida T, Chen Dinggeng. 2004. Incorporating spatial autocorrelation into the general linear model with an application to the yellowfin tuna (Thunnus albacares) longline CPUE data. Fish Res, 70(2-3):265-274
    Ord J K, Getis A. 1995. Local spatial autocorrelation statistics:Distributional issues and an application. Geogr Anal, 27(4):286-306
    Paulino C, Segura M, Chacón G. 2016. Spatial variability of jumbo flying squid (Dosidicus gigas) fishery related to remotely sensed SST and chlorophyll-a concentration (2004-2012). Fish Res, 173:122-127
    Peeters A, Zude M, Käthner J, et al. 2015. Getis-Ord's hot-and cold-spot statistics as a basis for multivariate spatial clustering of orchard tree data. Comput Electron Agr, 111:140-150
    Saul S E, Walter Ⅲ J F, Die D J, et al. 2013. Modeling the spatial distribution of commercially important reef fishes on the West Florida Shelf. Fish Res, 143:12-20
    Su N J, Sun C L, Punt A E, et al. 2008. Environmental and spatial effects on the distribution of blue marlin (Makaira nigricans) as inferred from data for longline fisheries in the Pacific Ocean. Fish Oceanogr, 17(6):432-445
    Swartz W, Sala E, Tracey S, et al. 2010. The spatial expansion and ecological footprint of fisheries (1950 to present). PLoS One, 5(12):e15143
    Tian Siquan, Chen Yong, Chen Xinjun, et al. 2010. Impacts of spatial scales of fisheries and environmental data on catch per unit effort standardisation. Mar Freshwater Res, 60(12):1273-1284
    Turner M G, O'Neill R V, Gardner R H, et al. 1989. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecol, 3(3-4):153-162
    Wiens J A. 1989. Spatial scaling in ecology. Func Ecol, 3(4):385-397
    Wu Jianguo. 2004. Effects of changing scale on landscape pattern analysis:scaling relations. Landscape Ecol, 19(2):125-138
    Xu Jie, Chen Xinjun, Chen Yong, et al. 2016. The effect of sea surface temperature increase on the potential habitat of Ommastrephes bartramii in the Northwest Pacific Ocean. Acta Oceanol Sin, 35(2):109-116
    Yang Mingxia, Chen Xinjun, Feng Youjiu, et al. 2013. Spatial variability of small and medium scales, resource abundance of Ommastrephes bartramii in Northwest Pacific. Haiyang Xuebao (in Chinese), 33(20):6427-6435
    Yu Wei, Chen Xinjun, Chen Yong, et al. 2015. Effects of environmental variations on the abundance of western winter-spring cohort of neon flying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean. Acta Oceanol Sin, 34(8):43-51
    Yu Wei, Chen Xinjun, Yi Qian, et al. 2016a. Spatio-temporal distributions and habitat hotspots of the winter-spring cohort of neon flying squid Ommastrephes bartramii in relation to oceanographic conditions in the Northwest Pacific Ocean. Fish Res, 175:103-115
    Yu Wei, Yi Qian, Chen Xinjun, et al. 2016b. Modelling the effects of climate variability on habitat suitability of jumbo flying squid, Dosidicus gigas, in the Southeast Pacific Ocean off Peru. ICES J Mar Sci, 73(2):239-249
  • 加载中
计量
  • 文章访问数:  964
  • HTML全文浏览量:  79
  • PDF下载量:  1402
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-12-06
  • 修回日期:  2017-02-05

目录

    /

    返回文章
    返回