Modeling the potential distribution of Argentine shortfin squid in the southwest Atlantic Ocean

Hewei LIU; Wei YU

Your Location：

Home >

Browse articles >

Modeling the potential distribution of Argentine shortfin squid in the southwest Atlantic Ocean

Aquaculture and Fisheries | Updated：2025-02-19

- Modeling the potential distribution of Argentine shortfin squid in the southwest Atlantic Ocean
- Journal of Oceanology and Limnology Vol. 43, Issue 1, Pages: 326-340(2025)
- Affiliations：
  
  1.College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai 201306, China
  2.National Engineering Research Center for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
  3.Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
  4.Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China
- Author bio：
  
  wyu@shou.edu.cn
- Funds：
- DOI：
  CLC：
- Received：19 February 2024，
  
  Published：01 January 2025
- Accepted：
Scan QR Code
LIU Hewei,YU Wei.Modeling the potential distribution of Argentine shortfin squid in the southwest Atlantic Ocean[J].Journal of Oceanology and Limnology,2025,43(01):326-340.
DOI：

LIU Hewei,YU Wei.Modeling the potential distribution of Argentine shortfin squid in the southwest Atlantic Ocean[J].Journal of Oceanology and Limnology,2025,43(01):326-340. DOI：

摘要

Abstract

The Argentine shortfin squ

Illex argentinus

is an economically important short-lived species widely distributed in the southwest Atlantic Ocean. The abundance and distribution of

argentinus

are associated with climate change and environmental fluctuations. The potential distribution of

argentinus

was modeled with various environmental variables including sea surface temperature (SST)

sea surface height (SSH)

chlorophyll

sea surface salinity (SSS)

net primary productivity (NPP)

mixed layer depth (MLD)

eddy kinetic energy (EKE)

and photosynthetically active radiation (PAR) using the maximum entropy (MaxEnt) approach during the peak fishing seasons (January–April). The habitat suitability index (HSI) was defined as the probability of species emergence from the MaxEnt model and the area of HSI

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=73643197&type=

2.28600001

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=73643209&type=

1.60866666

0.6 was regarded as suitable. Results indicate that the predicted habitat correlated with the actual fishing position

with similar trends in the percentages of suitable habitats and catch per unit effort (CPUE) of

argentinus

from January to April. Moreover

SST

SSH

PAR

and MLD were identified critical environmental variables for the distribution of

argentinus

. In addition

the median of preferred ranges of the critical environmental variables were concentrated within the suitable habitats of

argentinus

. The Area under the Receiver

Operating Characteristic Curve (AUC) was greater than 0.96 for all four months. Variations in latitudinal and longitudinal gravity centers (LATG and LONG) of fishing effort were consistent with latitudinal and longitudinal gravity centers (LATG_H and LONG_H) of the HSI. Our findings suggest that the MaxEnt model is an effective tool to predict the potential distribution of

argentinus

. Meanwhile

SST

SSH

PAR

and MLD should be given with more extensive attention in predicting the potential distribution of

argentinus

as they are important environmental indicators that can help decision-makers search for the fishing ground of

argentinus

in the Southwest Atlantic.

关键词

Keywords

references

Abrahams M V , Healey M C . 1993 . Some consequences of variation in vessel density: a manipulative field experiment . Fisheries Research , 15 ( 4 ): 315 - 322 , https://doi.‍org/10.1016/0165-7836(93)90082-I https://doi.‍org/10.1016/0165-7836(93)90082-I . https://do 10.1016/0165-7836(93)90082-i http://dx.doi.org/10.1016/0165-7836(93)90082-i

Alabia I D , Saitoh S I , Mugo R et al . 2015a . Seasonal potential fishing ground prediction of neon flying squid ( Ommastrephes bartramii ) in the western and central North Pacific . Fisheries Oceanography , 24 ( 2 ): 190 - 203 , https://doi.org/10.1111/fog.12102 https://doi.org/10.1111/fog.12102 .

Alabia I D , Saitoh S I , Mugo R et al . 2015b . Identifying pelagic habitat hotspots of neon flying squid in the temperate waters of the central North Pacific . PLoS One , 10 ( 11 ): e0142885 , https://doi.org/10.‍1371/journal.pone.0142885 https://doi.org/10.‍1371/journal.pone.0142885 .

An Y Z , Zhang R , Wang H Z et al . 2012 . Study on calculation and spatio-temporal variations of global ocean mixed layer depth . Chinese Journal of Geophysics , 55 ( 7 ): 2249 - 2258 , https://doi.org/10.6038/j.issn.0001-5733.2012.07.011. https://doi.org/10.6038/j.issn.0001-5733.2012.07.011. (in Chinese with English abstract)

Bainy M C R S , Haimovici M . 2012 . Seasonality in growth and hatching of the Argentine short-finned squid Illex argentinus (Cephalopoda: Ommastrephidae) inferred from aging on statoliths in southern Brazil . Journal of Shellfish Research , 31 ( 1 ): 135 - 143 , https://doi.org/10.2983/035.031.0117 https://doi.org/10.2983/035.031.0117 .

Bargain A , Marchese F , Savini A et al . 2017 . Santa Maria di Leuca Province (Mediterranean Sea): identification of suitable mounds for cold-water coral settlement using geomorphometric proxies and Maxent methods . Frontiers in Marine Science , 4 : 338 , https://doi.org/10.3389/fmars.2017.00338 https://doi.org/10.3389/fmars.2017.00338 .

Bateman B L , Pidgeon A M , Radeloff V C et al . 2016 . The pace of past climate change vs. potential bird distributions and land use in the United States . Global Change Biology , 22 ( 3 ): 1130 - 1144 , https://doi.org/10.1111/gcb.13154 https://doi.org/10.1111/gcb.13154 .

Berger A L , Della Pietra V J , Della Pietra S A . 1996 . A maximum entropy approach to natural language processing . Computational Linguistics , 22 ( 1 ): 39 - 71 , https://doi.org/10.5555/234285.234289 https://doi.org/10.5555/234285.234289 .

Brunetti N E , Elena B , Rossi G R et al . 1998 . Summer distribution, abundance and population structure of Illex argentinus on the Argentine shelf in relation to environmental features . South African Journal of Marine Science , 20 ( 1 ): 175 - 186 , https://doi.org/10.2989/025776198784126386 https://doi.org/10.2989/025776198784126386 .

Brunetti N E , Ivanovic M L , Louge E et al . 1991 . Reproductive biology and fecundity of two stocks of the squid ( Illex argentinus ) . Frente Marítimo , 8 : 73 - 84 .

Cao J , Chen X J , Chen Y . 2009 . Influence of surface oceanographic variability on abundance of the western winter-spring cohort of neon flying squid Ommastrephes bartramii in the NW Pacific Ocean . Marine Ecology Progress Series , 381 : 119 - 127 , https://doi.org/10.3354/meps07969 https://doi.org/10.3354/meps07969 .

Chang K Y , Chen C S , Wang H Y et al . 2015 . The Antarctic Oscillation index as an environmental parameter for predicting catches of the Argentine shortfin squid ( Illex argentinus ) (Cephalopoda: Ommastrephidae) in southwest Atlantic waters . Fishery Bulletin , 113 ( 2 ): 202 - 212 , https://doi.org/10.7755/FB.113.2.8 https://doi.org/10.7755/FB.113.2.8 .

Chen C S , Haung W B , Chiu T S . 2007 . Different spatiotemporal distribution of argentine short-finned squid ( Illex argentinus ) in the Southwest Atlantic during high-abundance year and its relationship to sea water temperature changes . Zoological Studies , 46 ( 3 ): 362 - 374 .

Chen F , Chen X J , Liu B L et al . 2010 . Relationship between fishing ground of Ommastrephes bartramii and vertical temperature structure in the northwestern Pacific Ocean . Journal of Shanghai Ocean University , 19 ( 4 ): 495 - 504 . (in Chinese with English abstract) . https://do 10.3724/SP.J.1231.2010.06781 http://dx.doi.org/10.3724/SP.J.1231.2010.06781

Chen P , Chen X J . 2016 . Analysis of habitat distribution of Argentine shortfin squid ( Illex argentinus ) in the southwest Atlantic Ocean using maximum entropy model . Journal of Fisheries of China , 40 ( 6 ): 893 - 902 , https://doi.org/10.11964/jfc.20150509873. https://doi.org/10.11964/jfc.20150509873. (in Chinese with English abstract)

Chen X J , Lu H J , Liu B L et al . 2012 . Forecasting fishing ground of Illex argentinus by using habitat suitability model in the southwest Atlantic . Journal of Shanghai Ocean University , 21 ( 3 ): 431 - 438 . (in Chinese with English abstract) . https://do 10.1007/s11783-011-0280-z http://dx.doi.org/10.1007/s11783-011-0280-z

Chiu T Y , Chiu T S , Chen C S . 2017 . Movement patterns determine the availability of Argentine shortfin squid Illex argentinus to fisheries . Fisheries Research , 193 : 71 - 80 , https://doi.org/10.1016/j.fishres.2017.03.023 https://doi.org/10.1016/j.fishres.2017.03.023 .

Dawe E G , Colbourne E B , Drinkwater K F . 2000 . Environmental effects on recruitment of short-finned squid ( Illex illecebrosus ) . ICES Journal of Marine Science , 57 ( 4 ): 1002 - 1013 , https://doi.org/10.1006/jmsc.2000.0585 https://doi.org/10.1006/jmsc.2000.0585 .

Dong C M , Jiang X L , Xu G J et al . 2017 . Automated eddy detection using Geometric Approach, eddy datasets and their application . Advances in Marine Science , 35 ( 4 ): 439 - 453 , https://doi.org/10.3969/j.issn.1671-6647.2017.04.001. https://doi.org/10.3969/j.issn.1671-6647.2017.04.001. (in Chinese with English abstract)

Elith J , Graham C H , Anderson R P et al . 2006 . Novel methods improve prediction of species' distributions from occurrence data . Ecography , 29 ( 2 ): 129 - 151 , https://doi.org/10.1111/j.2006.0906-7590.04596.x https://doi.org/10.1111/j.2006.0906-7590.04596.x .

Elith J , Phillips S J , Hastie T et al . 2011 . A statistical explanation of MaxEnt for ecologists . Diversity and Distributions , 17 ( 1 ): 43 - 57 , https://doi.org/10.1111/j.1472-4642.2010.00725.x https://doi.org/10.1111/j.1472-4642.2010.00725.x .

Fan J T , Chen Z Z , Feng X et al . 2021 . Climate-related changes in seasonal habitat pattern of Sthenoteuthis oualaniensis in the South China Sea . Ecosystem Health and Sustainability , 7 ( 1 ): 1926338 , https://doi.org/10.1080/20964129.2021.1926338 https://doi.org/10.1080/20964129.2021.1926338 .

Gibson L M , Mychajliw A M , Leon Y et al . 2019 . Using the past to contextualize anthropogenic impacts on the present and future distribution of an endemic Caribbean mammal . Conservation Biology , 33 ( 3 ): 500 - 510 , https://doi.org/10.1111/cobi.13290 https://doi.org/10.1111/cobi.13290 .

Gómara I , Rodríguez-Fonseca M B , Mohino E et al . 2021 . Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños . Environmental Research Letters , 16 ( 5 ): 054066 , https://doi.org/10.1088/1748-9326/abfa4d https://doi.org/10.1088/1748-9326/abfa4d .

Gong C X , Chen X J , Gao F . 2020 . Modeling the potential distribution of the neon flying squid ( Ommastrephes bartramii ) in the Northwest Pacific Ocean based on a MaxEnt model . Journal of Fishery Sciences of China , 27 ( 3 ): 336 - 345 , https://doi.org/10.3724/SP.J.1118.2020.19245. https://doi.org/10.3724/SP.J.1118.2020.19245. (in Chinese with English abstract)

Hanley J A , McNeil B J . 1982 . The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve . Radiology , 143 ( 1 ): 29 - 36 , https://doi.org/10.1148/radiology.143.1.7063747 https://doi.org/10.1148/radiology.143.1.7063747 .

Hu W J , Chao B X , Wang Y Y et al . 2020 . Assessing the potential distributions of mangrove forests in Fujian Province using MaxEnt model . China Environmental Science , 40 ( 9 ): 4029 - 4038 , https://doi.org/10.19674/j.cnki.issn1000-6923.2020.0448. https://doi.org/10.19674/j.cnki.issn1000-6923.2020.0448. (in Chinese with English abstract)

Jaynes E T . 1957 . Information theory and statistical mechanics . Physical Review , 106 ( 4 ): 620 - 630 , https://doi.org/10.1103/PhysRev.106.620 https://doi.org/10.1103/PhysRev.106.620 .

Kara A B , Wallcraft A J , Hurlburt H E . 2003 . Climatological SST and MLD predictions from a global layered ocean model with an embedded mixed layer . Journal of Atmospheric and Oceanic Technology , 20 ( 11 ): 1616 - 1632 , https://doi.org/10.1175/1520-0426(2003)020<1616:CSAMPF>2.0.CO;2. https://doi.org/10.1175/1520-0426(2003)020<1616:CSAMPF>2.0.CO;2.

Kramer-Schadt S , Niedballa J , Pilgrim J D et al . 2013 . The importance of correcting for sampling bias in MaxEnt species distribution models . Diversity and Distributions , 19 ( 11 ): 1366 - 1379 , https://doi.org/10.1111/ddi.12096 https://doi.org/10.1111/ddi.12096 .

Landis J R , Koch G G . 1977 . An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers . Biometrics , 33 ( 2 ): 363 - 374 , https://doi.org/10.2307/2529786 https://doi.org/10.2307/2529786 .

Legeckis R , Gordon A L . 1982 . Satellite observations of the Brazil and Falkland currents—1975 1976 and 1978 . Deep Sea Research Part A. Oceanographic Research Papers , 29 ( 3 ): 375 - 401 , https://doi.org/10.1016/0198-0149(82)90101-7 https://doi.org/10.1016/0198-0149(82)90101-7 .

Liu H M , Gao J X , Song C Y et al . 2019 . Conservation status and human disturbance of the habitats of Michelia crassipes Law in China . China Environmental Science , 39 ( 9 ): 3976 - 3981 , https://doi.‍org/10.19674/j.cnki.issn1000-6923.2019.0466. https://doi.‍org/10.19674/j.cnki.issn1000-6923.2019.0466. (in Chinese with English abstract)

Liu H W , Yu W , Chen X J . 2022 . Melting Antarctic Sea Ice is yielding adverse effects on a short-lived squid species in the Antarctic adjacent waters . Frontiers in Marine Science , 9 : 819734 , https://doi.‍org/10.3389/fmars.2022.819734 https://doi.‍org/10.3389/fmars.2022.819734 . https://do 10.3389/fmars.2022.819734 http://dx.doi.org/10.3389/fmars.2022.819734

Lv W C , Li Z H , Wu X X et al . 2011 . Maximum Entropy Niche-based Modeling (MaxEnt) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China. Computer and Computing Technologies in Agriculture V 2011 , Beijing , https://doi.org/10.1007/978-3-642-27275-2_26 https://doi.org/10.1007/978-3-642-27275-2_26 .

Masson S , Delecluse P , Boulanger J P et al . 2002 . A model study of the seasonal variability and formation mechanisms of the barrier layer in the eastern equatorial Indian Ocean . Journal of Geophysical Research: Oceans , 107 ( C12 ): 8017 , https://doi.‍org/10.1029/2001JC000832 https://doi.‍org/10.1029/2001JC000832 . https://do 10.1029/2001jc000832 http://dx.doi.org/10.1029/2001jc000832

Moreno-Amat E , Mateo R G , Nieto-Lugilde D et al . 2015 . Impact of model complexity on cross-temporal transferability in MaxEnt species distribution models: an assessment using paleobotanical data . Ecological Modelling , 312 : 308 - 317 , https://doi.org/10.1016/j.ecolmodel.2015.05.035 https://doi.org/10.1016/j.ecolmodel.2015.05.035 .

Morris L , Ball D . 2006 . Habitat suitability modelling of economically important fish species with commercial fisheries data . ICES Journal of Marine Science , 63 : 1590 - 1603 , https://doi.org/10.1016/j.icesjms.2006.06.008 https://doi.org/10.1016/j.icesjms.2006.06.008 .

Oke O A , Thompson K A . 2015 . Distribution models for mountain plant species: the value of elevation . Ecological Modelling , 301 : 72 - 77 , https://doi.org/10.1016/j.ecolmodel.2015.01.019 https://doi.org/10.1016/j.ecolmodel.2015.01.019 .

Olson D B , Hitchcock G L , Mariano A J et al . 1994 . Life on the edge: Marine life and fronts . Oceanography , 7 ( 2 ): 52 - 60 , https://doi.org/10.5670/oceanog.1994.03 https://doi.org/10.5670/oceanog.1994.03 .

Olson D B , Podestá G P , Evans R H et al . 1988 . Temporal variations in the separation of Brazil and Malvinas currents . Deep Sea Research Part A. Oceanographic Research Papers , 35 ( 12 ): 1971 - 1990 , https://doi.org/10.1016/0198-0149(88)90120-3 https://doi.org/10.1016/0198-0149(88)90120-3 .

Phillips S J , Anderson R P , Schapire R E . 2006 . Maximum entropy modeling of species geographic distributions . Ecological Modelling , 190 ( 3-4 ): 231 - 259 , https://doi.org/10.1016/j.ecolmodel.2005.03.026 https://doi.org/10.1016/j.ecolmodel.2005.03.026 .

Phillips S J , Dudík M . 2008 . Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation . Ecography , 31 ( 2 ): 161 - 175 , https://doi.org/10.1111/j.0906-7590.2008.5203.x https://doi.org/10.1111/j.0906-7590.2008.5203.x .

Phillips S J , Dudík M , Schapire R E . 2004 . A maximum entropy approach to species distribution modeling . In: Proceedings of the 21st International Conference on Machine Learning . ACM, Banff, Canada . p. 655 - 662 , https://doi.org/10.1145/1015330.1015412 https://doi.org/10.1145/1015330.1015412 .

Phillips S J , Dudík M , Schapire R E . 2024 . [Internet] MaxEnt software for modeling species niches and distributions (Version 3.4 . 1 ), http://biodiversityinformatics.amnh.‍org/open_source/maxent/. Accessed on 2024-04-24 http://biodiversityinformatics.amnh.‍org/open_source/maxent/.Accessedon2024-04-24 .

Queirós J P , Phillips R A , Baeta A et al . 2019 . Habitat, trophic levels and migration patterns of the short-finned squid Illex argentinus from stable isotope analysis of beak regions . Polar Biology , 42 ( 12 ): 2299 - 2304 , https://doi.‍org/10.1007/s00300-019-02598-x https://doi.‍org/10.1007/s00300-019-02598-x . https://do 10.1007/s00300-019-02598-x http://dx.doi.org/10.1007/s00300-019-02598-x

Retana M V , Lewis M N . 2017 . Suitable habitat for marine mammals during austral summer in San Jorge Gulf, Argentina . Revista de Biología Marina Y Oceanografía , 52 ( 2 ): 275 - 288 , https://doi.org/10.4067/S0718-19572017000200007 https://doi.org/10.4067/S0718-19572017000200007 .

Rijnsdorp A D , Dol W , Hoyer M et al . 2000 . Effects of fishing power and competitive interactions among vessels on the effort allocation on the trip level of the Dutch beam trawl fleet . ICES Journal of Marine Science , 57 ( 4 ): 927 - 937 , https://doi.org/10.1006/jmsc.2000.0580 https://doi.org/10.1006/jmsc.2000.0580 .

Sacau M , Pierce G J , Wang J J et al . 2005 . The spatio-temporal pattern of Argentine shortfin squid Illex argentinus abundance in the southwest Atlantic . Aquatic Living Resources , 18 ( 4 ): 361 - 372 , https://doi.org/10.1051/alr:2005039 https://doi.org/10.1051/alr:2005039 .

Swain D P , Wade E J . 2003 . Spatial distribution of catch and effort in a fishery for snow crab ( Chionoecetes opilio ): tests of predictions of the ideal free distribution . Canadian Journal of Fisheries and Aquatic Sciences , 60 ( 8 ): 897 - 909 , https://doi.org/10.1139/f03-076 https://doi.org/10.1139/f03-076 .

Swets J A . 1988 . Measuring the accuracy of diagnostic systems . Science , 240 ( 4857 ): 1285 - 1293 , https://doi.org/10.1126/science.3287615 https://doi.org/10.1126/science.3287615 .

Tranter D J , Leech G S , Airey D . 1983 . Edge enrichment in an ocean eddy . Marine and Freshwater Research , 34 ( 4 ): 665 - 680 , https://doi.org/10.1071/mf9830665 https://doi.org/10.1071/mf9830665 .

Waluda C M , Trathan P N , Rodhouse P G . 1999 . Influence of oceanographic variability on recruitment in the Illex argentinus (Cephalopoda: Ommastrephidae) fishery in the South Atlantic . Marine Ecology Progress Series , 183 : 159 - 167 , https://doi.org/10.3354/meps183159 https://doi.org/10.3354/meps183159 .

Wang J T , Chen X J , Chen Y . 2018a . Projecting distributions of Argentine shortfin squid ( Illex argentinus ) in the Southwest Atlantic using a complex integrated model . Acta Oceanologica Sinica , 37 ( 8 ): 31 - 37 , https://doi.org/10.1007/s13131-018-1231-3 https://doi.org/10.1007/s13131-018-1231-3 .

Wang L F , Kerr L A , Record N R et al . 2018b . Modeling marine pelagic fish species spatiotemporal distributions utilizing a maximum entropy approach . Fisheries Oceanography , 27 ( 6 ): 571 - 586 , https://doi.org/10.1111/fog.12279 https://doi.org/10.1111/fog.12279 .

Warren D L , Seifert S N . 2011 . Ecological niche modeling in MaxEnt: the importance of model complexity and the performance of model selection criteria . Ecological Applications , 21 ( 2 ): 335 - 342 , https://doi.org/10.1890/10-1171.1 https://doi.org/10.1890/10-1171.1 .

Xu Z L , Peng H H , Peng S Z . 2015 . The development and evaluation of species distribution models . Acta Ecologica Sinica , 35 ( 2 ): 557 - 567 , https://doi.org/10.5846/stxb201304030600. https://doi.org/10.5846/stxb201304030600. (in Chinese with English abstract)

Xue J L , Fan W , Tang F H et al . 2018 . Analysis of potential habitat distribution of Scomber japonicus in northwest Pacific Ocean using maximum entropy model . South China Fisheries Science , 14 ( 1 ): 92 - 98 , https://doi.org/10.3969/j.issn.2095-0780.2018.01.012. https://doi.org/10.3969/j.issn.2095-0780.2018.01.012. (in Chinese with English abstract)

Yu W , Chen X J , Yi Q et al . 2016 . 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 . Fisheries Research , 175 : 103 - 115 , https://doi.org/10.1016/j.fishres.2015.11.026 https://doi.org/10.1016/j.fishres.2015.11.026 .

Yu W , Chen X J , Zhang Y et al . 2019 . Habitat suitability modelling revealing environmental-driven abundance variability and geographical distribution shift of winter-spring cohort of neon flying squid Ommastrephes bartramii in the northwest Pacific Ocean . ICES Journal of Marine Science , 76 ( 6 ): 1722 - 1735 , https://doi.org/10.1093/icesjms/fsz051 https://doi.org/10.1093/icesjms/fsz051 .

Yu W , Wen J , Chen X J et al . 2021 . Trans-Pacific multidecadal changes of habitat patterns of two squid species . Fisheries Research , 233 : 105762 , https://doi.org/10.1016/j.fishres.2020.105762 https://doi.org/10.1016/j.fishres.2020.105762 .

Zhang D H , Hu Y M , Liu M . 2019 . Potential distribution of Spartinal alterniflora in China coastal areas based on MaxEnt niche model . Chinese Journal of Applied Ecology , 30 ( 7 ): 2329 - 2337 , https://doi.org/10.13287/j.1001-9332.201907.014. https://doi.org/10.13287/j.1001-9332.201907.014. (in Chinese with English abstract)

Zhang J R , Yang X M , Tian S Q . 2020 . Analysis of albacore ( Thunnus alalunga ) habitat distribution in the south Pacific using maximum entropy model . Jounal of Fishery Sciences of China , 27 ( 10 ): 1222 - 1233 , https://doi.org/10.3724/SP.J.1118.2020.20054 https://doi.org/10.3724/SP.J.1118.2020.20054 .

Zwolinski J P , Emmett R L , Demer D A . 2011 . Predicting habitat to optimize sampling of Pacific sardine ( Sardinops sagax ) . ICES Journal of Marine Science , 68 ( 5 ): 867 - 879 , https://doi.org/10.1093/icesjms/fsr038 https://doi.org/10.1093/icesjms/fsr038 .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

The potential distribution of adult Antarctic krill in the Amundsen Sea

Influence of Structural Parameters of Diversion Cone on Smooth Effect of Gas Ejection Bottom Pressure Impact

Studies on Distribution Characteristics of CurrentDensity on Anode Wall of Ion Thruster

Numerical Studies on Effects of V-Shaped Leading Edge on Incident Shock Wave Boundary Layer Interaction

Investigation on Interaction Mechanism Between Rim Sealing Flow and Mainstream Flow in High-Pressure Turbine

Related Author

Jianlong FENG

Lulu LIU

Qiulin LIU

Liang ZHAO

Related Institution

Key Laboratory of Marine Resource Chemistry and Food Technology (TUST), Ministry of Education, Tianjin University of Science and Technology

National Marine Data & Information Service

College of Marine and Environmental Science, Tianjin University of Science and Technology

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰