Analysis of influence on spatial distribution of fishing ground for Antarctic krill fishery in the northern South Shetland Islands based on GWR model.

doi:10.13287/j.1001-9332.201803.037

Abstract

Abstract: Based on Antarctic krill fishery and marine environmental data collected by scientific observers, using geographically weighted regression (GWR) model, we analyzed the effects of the factors with spatial attributes, i.e., depth of krill swarm (DKS) and distance from fishing position to shore (DTS), and sea surface temperature (SST), on the spatial distribution of fishing ground in the northern South Shetland Islands. The results showed that there was no significant aggregation in spatial distribution of catch per unit fishing effort (CPUE). Spatial autocorrelations (positive) among three factors were observed in 2010 and 2013, but were not in 2012 and 2016. Results from GWR model showed that the extent for the impacts on spatial distribution of CPUEs varied among those three factors, following the order DKS>SST>DTS. Compared to the DKS and DTS, the impact of SST on the spatial distribution of CPUEs presented adverse trend in the eastern and western parts of the South Shetland Islands. Negative correlations occurred for the spatial effects of DKS and DTS on distribution of CPUEs, though with inter-annual and regional variation. Our results provide metho-dological reference for researches on the underlying mechanism for fishing ground formation for Antarctic krill fishery.

CHEN Lyu-feng, ZHU Guo-ping. Analysis of influence on spatial distribution of fishing ground for Antarctic krill fishery in the northern South Shetland Islands based on GWR model.[J]. Chinese Journal of Applied Ecology, 2018, 29(3): 938-944.

References

[1] Piñones A, Fedorov AV. Projected changes of Antarctic krill habitat by the end of the 21^st century. Geophysical Research Letters, 2016, 43: 8580-8589
[2] CCAMLR. Statistical Bulletin [EB/OL]. (2017-05-08) [2017-05-23]. https://www.ccamlr.org/en/document/data/ccamlr-statistical-bulletin-vol-29
[3] Descamps S, Tarroux A, Cherel Y, et al. At-sea distribution and prey selection of Antarctic petrels and commercial krill fisheries. PLoS One, 2016, 11(8): e0156968
[4] Ichii T, Naganobu M, Ogishima T. Competition between the krill fishery and penguins in the South Shetland Islands. Polar Biology, 1996, 16: 63-70
[5] Alonzo SH, Switzer PV, Mangel M. An ecosystem-based approach to management: Using individual behaviour to predict the indirect effects of Antarctic krill fisheries on penguin foraging. Journal of Applied Ecology, 2003, 40: 692-702
[6] Cresswell KA, Wiedenmann JR, Mangel M. A model of parental conflict: Predicting provisioning behavior of penguin partners in response to local changes in krill. Ecological Modelling, 2012, 246: 68-78
[7] Leonori I, De Felice A, Canduci G, et al. Krill distribution in relation to environmental parameters in mesoscale structures in the Ross Sea. Journal of Marine Systems, 2017, 166: 159-171
[8] Zhu G-P (朱国平). Effects of temporal and environmental factors on the fishing ground of Antarctic krill (Euphausia superba) in the northern Antarctic Peninsula based on generalized additive model. Journal of Fisheries of China (水产学报), 2012, 36(12): 1863-1871 (in Chinese)
[9] Zhu G-P (朱国平), Liu Z-J (刘子俊), Xu G-D (徐国栋), et al. Spatial-temporal and environmental effects of catch rate on Antarctic krill fishery in the South Georgia Island in the austral winter season based on the fine scale data. Chinese Journal of Applied Ecology (应用生态学报), 2014, 25(8): 2397-2404 (in Chinese)
[10] Sun S (孙珊), Li X-S (李显森), Zhao W-W (赵文武), et al. Effects of temporal, spatial and environmental factors on distribution of Antarctic krill (Euphausia superba) in 2013 based on generalized additive model. Fisheries Science (水产科学), 2015, 34(10): 609-615 (in Chinese)
[11] Yang X-M (杨晓明), Li Y-X (李逸欣), Zhu G-P (朱国平). Spatial point patterns of Antarctic krill fishery in the northern Antarctic Peninsula. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(12): 4052-4058 (in Chinese)
[12] Windle MJS, Rose GA, Devillers R, et al. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): An example from the Northwest Atlantic. ICES Journal of Marine Science, 2010, 67: 145-154
[13] Wang Y-N (王雅楠), Zhao T (赵涛). Study on spatial difference of carbon emissions in China based on GWR model. China Population, Resource and Environment (中国人口·资源与环境), 2016, 26(2): 27-34 (in Chinese)
[14] Sun K (孙克), Xu Z-M (徐中民). The impacts of human driving factors on grey water footprint in China using a GWR model. Geographical Research (地理研究), 2016, 35(1): 37-48 (in Chinese)
[15] Zhen Z (甄贞), Guo Z-Y (郭志英), Zhao Y-H (赵颖慧), et al. Spatial distribution of soil total nitrogen in Liangshui National Nature Reserve based on local model. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(2): 549-558 (in Chinese)
[16] Fotheringham AS, Charlton M, Brunsdon C. The geography of parameter space: An investigation of spatial non-stationarity. International Journal of Geographical Information Science, 1996, 10: 605-627
[17] Fotheringham AS, Brunsdon C, Charlton M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Oxford: Wiley, 2002: 284
[18] Lesage JP. A Family of Geographically Weighted Regression Models// Anselin L, Florax R, Rey SJ, eds. Advances in Spatial Econometrics: Methodology, Tools and Applications. Berlin: Springer, 2001: 241-264
[19] Zhu G-P (朱国平), Feng C-L (冯春雷), Wu Q (吴强), et al. Preliminary analysis on factors for impacting CPUE index variations of Antarctic krill survey. Marine Fisheries (海洋渔业), 2010, 32(4): 368-373 (in Chinese)
[20] Dai L-F (戴立峰), Zhang S-M (张胜茂), Fang W (樊伟). The abundance index of Antarctic krill and its relationship to sea ice and sea surface temperature. Chinese Journal of Polar Research (极地研究), 2012, 24(4): 352-360 (in Chinese)
[21] Zhu G-P (朱国平), Wang R (王芮), Zhu X-Y (朱小艳), et al. Diel vertical migration of Antarctic krill aggregation in South Georgia Island in the austral winter of 2013. Journal of Fisheries of China (水产学报), 2015, 39(8): 1242-1249 (in Chinese)
[22] Murphy EJ, Watkins JL, Meredith MP, et al. Southern Antarctic Circumpolar Current Front to the northeast of South Georgia: Horizontal advection of krill and its role in the ecosystem. Journal of Geophysical Research Oceans, 2004, 109: 513-522
[23] Silk JRD, Thorpe SE, Fielding S, et al. Environmental correlates of Antarctic krill distribution in the Scotia Sea and southern Drake Passage. ICES Journal of Marine Science, 2016, 73: 2288-2301
[24] Han Y (韩雅), Zhu W-B (朱文博), Li S-C (李双成). Modelling relationship between NDVI and climatic factors in China using geographically weighted regression. Acta Scientiarum Naturalium Universitatis Pekinenisis (北京大学学报:自科学版), 2016, 52(6): 1125-1133 (in Chinese)
[25] Zeng B (曾冰). Reexamine the provincial boundary effect in China: Based on the spatial econometric interaction model. Journal of Yunnan Finance and Trade Institute (云南财经大学学报), 2016(1): 62-71 (in Chinese)
[26] Wang X (王旭), Lin Z (林征), Zhang Z (张志), et al. Modelling the spatial distribution of Lake Surface water temperature of the Thaw Lakes in Arctic coastal plain using geographically weighted regression model. Geomatics and Information Science of Wuhan University (武汉大学学报:信息科学版), 2016, 41(7): 918-924 (in Chinese)
[27] Lu Y-L (卢亚灵), Jiang H-Q (蒋洪强), Huang J-X (黄季夏), et al. Simulation of annual average SO₂ concentration of the prefecture-level cities in China based on GWR model. Ecology and Environmental Sciences (生态环境学报), 2014, 23(8): 1305-1310 (in Chinese)
[28] Murphy EJ, Trathan PN, Everson I. Krill fishing in the Scotia Sea in relation to bathymetry, including the detailed distribution around South Georgia. CCAMLR Science, 1997, 4: 1-17
[29] Li X-S (李显森), Zhang J-C (张吉昌), Zhao X-Y (赵宪勇), et al. Spatiotemporal distribution of Euphausia superba in CCAMLR area 48 during 2012/2013 fishing season. Progress in Fishery Sciences (渔业科学进展), 2015, 36(4): 1-9 (in Chinese)
[30] Ichii T, Katayama K, Obitsu N, et al. Occurrence of Antarctic krill (Euphausia superba) concentrations in the vicinity of the South Shetland Islands: Relationship to environmental parameters. Deep Sea Research Part I Oceanographic Research Papers, 1998, 45: 1235-1262
[31] Sievers HA, Nowlin Jr WD. Upper ocean characteristics in drake passage and adjoining areas of the Southern Ocean, 39°W-95°W// Sahrhage D, ed. Antarctic Ocean and Resources Variability. Berlin: Springer, 1988: 57-80
[32] Ruan C (阮超), Zhang H (张衡), Cui X-S (崔雪森), et al. Spatial-temporal distribution of Antarctic krill fishing ground and their relationship with sea surface temperature in waters around the South Shetland Islands. Chinese Journal of Ecology (生态学杂志), 2016, 35(9): 2435-2441 (in Chinese)
[33] Catalán IA, Morales-Nin B, Company JB, et al. Environmental influences on zooplankton and micronekton distribution in the Bransfield Strait and adjacent waters. Polar Biology, 2008, 31: 691-707
[34] Chen HX, Pan ZD, Jiao YT, et al. Hydrological character and sea current structure in the front of Amery Ice Shelf. Advances in Polar Science, 2005, 16: 41-50
[35] Xiang X-Q (向先全), Lu W-H (路文海), Xu Y (许艳), et al. Study on the remote sensing chlorophyll concentration of red tide in the Bohai Bay based on spatial autocorrelation analysis methods. Marine Science Bulletin (海洋通报), 2015, 34(3):344-352 (in Chinese)
[36] Chen G-W (陈广威), Chen L-F (陈吕凤), Zhu G-P (朱国平), et al. Spatial-temporal distribution of fishing ground for Antarctic krill fishery in the South Georgia Island during the austral winter and its drivers. Chinese Journal of Ecology (生态学杂志), 2017, 36(10): 2803-2810 (in Chinese)