Volume 19 Issue 5
Oct.  2023
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ZHANG Manyao, SHI Wenjing, GUI Feng, ZENG Xianmin, XU Kaida, ZHAO Sheng. Study of suitable habitats for Sepiella maindroni in Zhoushan sea areas based on MaxEnt model[J]. South China Fisheries Science, 2023, 19(5): 22-31. DOI: 10.12131/20230080
Citation: ZHANG Manyao, SHI Wenjing, GUI Feng, ZENG Xianmin, XU Kaida, ZHAO Sheng. Study of suitable habitats for Sepiella maindroni in Zhoushan sea areas based on MaxEnt model[J]. South China Fisheries Science, 2023, 19(5): 22-31. DOI: 10.12131/20230080
shu

Study of suitable habitats for Sepiella maindroni in Zhoushan sea areas based on MaxEnt model

  • 1.

    Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China

  • 2.

    Zhejiang Marine and Fisheries Research Institute, Zhoushan 316021, China

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  • Received Date: April 16, 2023
  • Revised Date: May 17, 2023
  • Accepted Date: June 05, 2023
  • Available Online: June 09, 2023
    Graphical Abstract
    • Abstract

  • Cuttlefish (Sepiella maindroni) has high economic and nutritional value, but its resources have declined in recent years due to overfishing and habitat destruction. To quantitatively assess the impact of multiple ecological factors on the distribution of S. maindroni, we selected the Zhoushan sea area which is an important spawning ground and habitat for S. maindroni as the research area, and used the MaxEnt (Maximum Entropy) model to analyze the habitat suitability of S. maindroni as well as to explore its restoration potential and spatial distribution of suitable habitats, based on the bottom trawl survey data from the Zhejiang coastal area from 2017−2021, the survey data from autonomous cruises in 2021−2022, and data from the Global Biodiversity Information Facility (GBIF). The research results show that the maximum sea surface temperature (SST), minimum sea surface salinity (SSS) and pH were the main ecological factors affecting the S. maindroni distribution. S. maindroni tended to be active in areas with higher sea surface temperatures and higher salinity, and could tolerate a weakly alkaline environment. In the Zhoushan sea area, S. maindroni was more likely to exist with maximum SST of 25.5−28.5 ℃, minimum SSS of 20‰−30‰, and pH value of 7.8−8.3. The suitable habitat area in the Zhoushan sea area was quite extensive, covering 30 213.40 km2, which accounted for 75.11% of the total area of the research area. Among these, the highly suitable habitats were mainly distributed in the sea areas of Zhongjieshan Islands, Shengsi Islands and Ma'an Islands, with an area of 4 600.78 km2. The areas of the sub-highly suitable, moderately suitable and lowly suitable habitats were 8 205.52, 9 723.31 and 7 683.78 km2, respectively. In terms of restoration potential, S. maindroni has significant recovery potential in the Zhoushan sea area.

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  • [1]
    RICHARDSON L E, LENFANT P, CLARKE L J, et al. Examining current best-practices for the use of wild post-larvae capture, culture, and release for fisheries enhancement[J]. Front Mar Sci, 2023, 9: 1058497. doi: 10.3389/fmars.2022.1058497
    [2]
    钟明, 侍昊, 安树青, 等. 中国野生动物生境适宜性评价和生境破碎化研究[J]. 生态科学, 2016, 35(4): 205-209. doi: 10.14108/j.cnki.1008-8873.2016.04.028
    [3]
    吕国敏, 吴进锋, 陈利雄. 我国头足类增养殖研究现状及开发前景[J]. 南方水产, 2007, 3(3): 61-66.
    [4]
    HEIKKINEN R K, LUOTO M, ARAÚJO M B, et al. Methods and uncertainties in bioclimatic envelope modelling under climate change[J]. Prog Phys Geogr, 2006, 30(6): 751-777. doi: 10.1177/0309133306071957
    [5]
    徐晓萱, 谢玉, 刘姝含, 等. 基于GAM模型的浙江近海曼氏无针乌贼时空分布研究[J]. 浙江海洋大学学报 (自然科学版), 2022, 41(5): 400-407.
    [6]
    魏裙倚, 崔国辰, 玄文丹, 等. 海表面温度及叶绿素a浓度对西北印度洋鸢乌贼时空分布的影响[J]. 中国水产科学, 2022, 29(3): 388-397.
    [7]
    李杰, 张鹏, 晏磊, 等. 南海中南部海域鸢乌贼CPUE影响因素的GAM分析[J]. 中国水产科学, 2020, 27(8): 906-915.
    [8]
    杨洋. 基于四种模型的肉苁蓉潜在地理分布预测及空间格局变化分析[D]. 西安: 陕西师范大学, 2017: 25-28.
    [9]
    图雅. 基于物种分布模型的中国针茅属植物潜在分布区及其影响因子分析[D]. 北京: 北京林业大学, 2020: 72-73.
    [10]
    MEROW C, SILANDER J A. A comparison of Maxlike and Maxent for modelling species distributions[J]. Methods Ecol Evol, 2014, 5(3): 215-225. doi: 10.1111/2041-210X.12152
    [11]
    陈新美, 雷渊才, 张雄清, 等. 样本量对MaxEnt模型预测物种分布精度和稳定性的影响[J]. 林业科学, 2012, 48(1): 53-59. doi: 10.11707/j.1001-7488.20120110
    [12]
    TENG S, SU N, LEE M, et al. Modeling the habitat distribution of Acanthopagrus schlegelii in the coastal waters of the Eastern Taiwan Strait using MaxEnt with fishery and remote sensing data[J]. J Mar Sci Eng, 2021, 9(12): 1442. doi: 10.3390/jmse9121442
    [13]
    HARTE J, NEWMAN E A. Maximum information entropy: a foundation for ecological theory[J]. Trends Ecol Evol, 2014, 29(7): 384-389. doi: 10.1016/j.tree.2014.04.009
    [14]
    杨继超, 董民星, 种衍飞, 等. 最大熵模型在海洋生物适生区预测中的应用[J/OL]. 应用海洋学学报. https://kns.cnki.net/kcms/detail/35.1319.P.20230302.1347.002.html.
    [15]
    周海涛, 那晓东, 臧淑英, 等. 最大熵 (MaxEnt) 模型在物种栖息地研究中的应用[J]. 环境科学与管理, 2016, 41(3): 149-151. doi: 10.3969/j.issn.1673-1212.2016.03.035
    [16]
    张嘉容, 杨晓明, 田思泉. 基于最大熵模型的南太平洋长鳍金枪鱼栖息地预测[J]. 中国水产科学, 2020, 27(10): 1222-1233.
    [17]
    龚彩霞, 陈新军, 高峰, 等. 水温变暖对西北太平洋柔鱼潜在栖息地分布的影响[J]. 海洋学报 (中文版), 2022, 44(7): 95-102.
    [18]
    PIRTLE J L, SHOTWELL S K, ZIMMERMANN M, et al. Habitat suitability models for groundfish in the Gulf of Alaska[J]. Deep-Sea Res II, 2017, 165: 303-321.
    [19]
    曹子豪, 迟长凤, 刘慧慧, 等. 不同地理群体曼氏无针乌贼肌肉营养成分分析比较与评价[J]. 食品科学, 2015, 36(4): 101-105. doi: 10.7506/spkx1002-6630-201504019
    [20]
    倪正雅, 徐汉祥. 浙江近海乌贼资源评估及乌贼渔业管理[J]. 海洋渔业, 1986(2): 51-54.
    [21]
    李继姬, 郭宝英, 吴常文. 浙江海域曼氏无针乌贼资源演变及修复路径探讨[J]. 浙江海洋学院学报 (自然科学版), 2011, 30(5): 381-385, 396.
    [22]
    覃涛, 俞存根, 陈全震, 等. 舟山渔场及邻近海域头足类 (Cephalopod) 种类组成和数量分布[J]. 海洋与湖沼, 2011, 42(1): 124-130. doi: 10.11693/hyhz201101019019
    [23]
    陈伟峰, 叶深, 余玥, 等. 浙南近海头足类种类组成及生态位分析[J]. 水生生物学报, 2021, 45(2): 428-435. doi: 10.7541/2021.2018.262
    [24]
    PANG Y M, TIAN Y J, FU C H, et al. Variability of coastal cephalopods in overexploited China seas under climate change with implications on fisheries management[J]. Fish Res, 2018, 208: 22-33. doi: 10.1016/j.fishres.2018.07.004
    [25]
    张义浩, 王志铮, 吴常文, 等. 舟山群岛定生海藻种类组成、生态分布及区系特征研究[J]. 浙江海洋学院学报 (自然科学版), 2002, 21(2): 98-105.
    [26]
    刘连为, 隋宥珍, 徐开达, 等. 曼氏无针乌贼两个地理群体繁殖生物学比较研究[J]. 海洋湖沼通报, 2022, 44(4): 57-62. doi: 10.13984/j.cnki.cn37-1141.2022.04.008
    [27]
    WARREN D L, MATZKE N J, CARDILLO M, et al. ENMTools 1.0: an R package for comparative ecological biogeography[J]. Ecography, 2021, 44(4): 504-511. doi: 10.1111/ecog.05485
    [28]
    尹飞, 王春琳, 宋微微. 曼氏无针乌贼幼体生态因子耐受性的研究[J]. 湛江海洋大学学报, 2005, 25(4): 39-43.
    [29]
    黄伟卿, 陈宇光, 张艺, 等. 盐度胁迫对曼氏无针乌贼胚胎发育和生长性能的影响[J]. 渔业现代化, 2022, 49(6): 100-107. doi: 10.3969/j.issn.1007-9580.2022.06.013
    [30]
    郑美丽, 肖金华, 郑微云, 等. 曼氏无针乌贼的趋光特性[J]. 厦门大学学报 (自然科学版), 1980(3): 91-99.
    [31]
    GUISAN A, ZIMMERMANN N E. Predictive habitat distribution models in ecology[J]. Ecol Model, 2000, 135(2): 147-186.
    [32]
    谢平, 赵羽西, 桑燕芳, 等. 基于相关系数的水文周期变异分级方法及验证[J]. 水力发电学报, 2018, 37(12): 33-43. doi: 10.11660/slfdxb.20181204
    [33]
    COBOS M E, PETERSON A T, BARVE N, et al. kuenm: an R package for detailed development of ecological niche models using MaxEnt[J]. PeerJ, 2019, 7: e6281. doi: 10.7717/peerj.6281
    [34]
    SHCHEGLOVITOVA M, ANDERSON R P. Estimating optimal complexity for ecological niche models: a jackknife approach for species with small sample sizes[J]. Ecol Model, 2013, 269: 9-17. doi: 10.1016/j.ecolmodel.2013.08.011
    [35]
    阮欧, 刘绥华, 陈芳, 等. 基于多源遥感的贵州草海国家级自然保护区黑颈鹤生境适宜性评价[J]. 生态学报, 2022, 42(5): 1947-1957.
    [36]
    MASTRANDREA M D, FIELD C B, STOCKER T F, et al. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties[C]. The IPCC Panel, Intergovernmental Panel on Climate Change (IPCC), CA, USA, IPCC Cross-Working Group Meeting on Consistent Treatment of Uncertainties Jasper Ridge, 2010: 2-3.
    [37]
    PETERSON A T, PAPE M, SOBERÓN J. Rethinking receiver operating characteristic analysis applications in ecological niche modeling[J]. Ecol Model, 2017, 213(1): 63-72.
    [38]
    王运生, 谢丙炎, 万方浩, 等. ROC曲线分析在评价入侵物种分布模型中的应用[J]. 生物多样性, 2007, 15(4): 365-372. doi: 10.3321/j.issn:1005-0094.2007.04.005
    [39]
    曹杰, 陈新军, 刘必林, 等. 鱿鱼类资源量变化与海洋环境关系的研究进展[J]. 上海海洋大学学报, 2010, 19(2): 232-239.
    [40]
    肖戈, 徐博, 张衡, 等. 阿拉伯海外海鸢乌贼渔场时空分布与海洋环境要素的研究[J]. 南方水产科学, 2022, 18(4): 10-19. doi: 10.12131/20210217
    [41]
    陈峰, 李楠, 方舟, 等. 浙江近岸海域春夏季剑尖枪乌贼栖息地分布变化规律[J]. 上海海洋大学学报, 2021, 30(5): 847-855. doi: 10.12024/jsou.20201203245
    [42]
    吴天, 梁君, 周永东, 等. 中街山列岛海域曼氏无针乌贼栖息地偏向性研究[J]. 浙江海洋大学学报 (自然科学版), 2022, 41(5): 408-417.
    [43]
    刘姝含, 刘连为, 徐开达, 等. 浙江中北部近海曼氏无针乌贼资源现状[J]. 浙江海洋大学学报 (自然科学版), 2022, 41(4): 286-293.
    [44]
    袁健美, 张虎, 贲成恺, 等. 江苏近海曼氏无针乌贼增殖放流效果评估[J]. 水产养殖, 2023, 44(2): 12-16. doi: 10.3969/j.issn.1004-2091.2023.02.003
    [45]
    张建设. 曼氏无针乌贼养殖生物学特性和血细胞免疫功能研究[D]. 厦门: 厦门大学, 2007: 155.
    [46]
    YIN F, SUN P, PENG S M, et al. The respiration, excretion and biochemical response of the juvenile common Chinese cuttlefish, Sepiella maindroni at different temperatures[J]. Aquaculture, 2013, 402/403: 127-132. doi: 10.1016/j.aquaculture.2013.03.018
    [47]
    PENG S M, YIN F, SHI Z H, et al. Optimum water temperature for the growth of juvenile common Chinese cuttlefish, Sepiella maindroni (de Rochebrune 1884)[J]. J Shellfish Res, 2011, 30(2): 205-209. doi: 10.2983/035.030.0202
    [48]
    雷舒涵, 吴常文, 高天翔, 等. 金乌贼和曼氏无针乌贼胚胎发育及其盐度耐受能力的比较研究[J]. 中国水产科学, 2011, 18(2): 350-359.
    [49]
    HALVORSEN R, MAZZONI S, BRYN A, et al. Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt[J]. Ecography, 2015, 38(2): 172-183. doi: 10.1111/ecog.00565
    [50]
    朱海洋. 舟山渔场: 从“赶海”到“养海”[N]. 农民日报, 2023-02-16(6).
    [51]
    宋旻鹏, 汪金海, 郑小东. 中国经济头足类增养殖现状及展望[J]. 海洋科学, 2018, 42(3): 149-156. doi: 10.11759/hykx20180128001
    [52]
    季乾昭, 王荣兴, 黄志旁, 等. 样本量与研究范围变化对MaxEnt模型准确度的影响: 以黑白仰鼻猴为例[J]. 兽类学报, 2019, 39(2): 126-133.
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