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| 基于不同空间插值法的黄海和东海北部游泳动物多样性空间分布研究 |
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唐政1,2, 单秀娟3,2, 关丽莎2, 金显仕3,2, 胡芷君1,2, 韩青鹏2,4
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1.上海海洋大学海洋科学学院 上海 201306;2.中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 山东省渔业资源与生态环境重点实验室 青岛 266071;3.青岛海洋科学与技术试点国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266071;4.中国海洋大学水产学院 青岛 266003
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| 摘要: |
| 物种多样性空间分布是生态学研究的重要内容之一，空间插值法在该领域应用广泛。本研究以2017年5月黄海和东海北部游泳动物多样性为例，选取种类数(S)、Shannon-Weaver多样性指数(H′)、Pielou均匀度指数(J)和Margalef丰富度指数(d)来衡量该海域物种多样性，应用反距离加权法(Inverse distance weighted, IDW)、径向基函数法(Radial basis function, RBF)、局部多项式法(Local polynomial interpolation, LPI)、普通克里格法(Ordinary kriging, OK)和协同克里格法(Ordinary cokriging, COK)对上述4种多样性指数进行插值，通过jackknife检验的方法选择适合每种多样性指数的空间插值法。结果表明，对于4种多样性指数，COK结果均最好，而其他4种方法精度较低，且差别不大。COK预测结果表明，S和d都呈现出东南部高，北部次之，中部最低的格局。H′和J也是中部最低，在南部和北部海域差异不大。4种多样性指数在32N以南海域的高值区范围大致相同。COK可以作为黄海和东海北部游泳动物多样性空间插值的方法。 |
| 关键词: 游泳动物 多样性 空间插值 空间分布 |
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| Study of the Distribution of Nekton Diversity Base on Spatial Interpolation Methods in the Yellow Sea and North East China Sea |
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TANG Zheng1,2, SHAN Xiujuan3,2, GUAN Lisha2, JIN Xianshi3,2, HU Zhijun1,2, HAN Qingpeng2,4
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1.College of Marine Sciences, Shanghai Ocean University, Shanghai 201306;2.Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071;3.Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071;4.College of Fisheries, Ocean University of China, Qingdao 266003
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| Abstract: |
| The distribution of species diversity is one of the important issues in ecological research. Although spatial interpolation has been widely used in this research. Taking the diversity of nekton in the Yellow Sea and north East China Sea in May 2017 as an example, the species number (S), Shannon-Weaver diversity index (H'), Pielou evenness index (J), and Margalef richness index (d) were selected to evaluate the distribution of species diversity in the sea area. We applied inverse distance weighted (IDW), radial basis function (RBF), local polynomial interpolation (LPI), ordinary kriging (OK), and ordinary cokriging (COK) methods to the above four species diversity indices, and we selected the spatial interpolation method suitable for each species diversity index by the jackknife method. The results showed that COK had the best results for the four species diversity indices with the highest accuracy. The accuracy of the other four methods had little difference and was low. The COK prediction results revealed that both S and d showed an obviously high pattern in the southeast, followed by the north; the lowest pattern was observed in the middle. H' and J were also lowest in the middle, but the difference between the southern and northern sea was negligible in both these indices, and the reasons need to be further explored. The four diversity indices were roughly the same in the high value area of the south of 32°N. The results showed that COK can be used as a spatial interpolation method for nekton diversity in the Yellow Sea and northern East China Sea. |
| Key words: Nekton Diversity Spatial interpolation Spatial distribution |