基于概率模型的长江口鱼类空间共现模式分析

吴建辉; 王家启; 戴小杰; 田思泉; 刘健; 陈锦辉; 王学昉

doi:10.12131/20180112

基于概率模型的长江口鱼类空间共现模式分析

doi: 10.12131/20180112

吴建辉^{1, 2,},
王家启^{1, 3, 4},
戴小杰^{1, 3, 4, 5},
田思泉^{1, 3, 4, 5, ,},
刘健²,
陈锦辉²,
王学昉^{1, 3, 4, 5}

1.
上海海洋大学海洋科学学院，上海 201306
2.
上海市长江口中华鲟自然保护区管理处，上海 200092
3.
中国远洋渔业数据中心，上海 201306
4.
上海海洋大学大洋渔业可持续开发教育部重点实验室，上海 201306
5.
国家远洋渔业工程技术研究中心，上海 201306

基金项目: 上海市科委地方能力建设项目(18050502000)；长江口中华鲟增殖放流跟踪监测和效果评估项目(S170062)

详细信息

作者简介:
吴建辉(1980—)，男，博士研究生，工程师，从事中华鲟保护与保护区管理研究。E-mail: wjh0618@163.com

通讯作者:
田思泉(1978 — )，男，博士，教授，从事渔业资源评估与管理研究。E-mail: sqtian@shou.edu.cn

中图分类号: S 932.4
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- 被引次数: 0
出版历程
- 收稿日期: 2018-05-28
- 修回日期: 2018-08-13
- 网络出版日期: 2018-12-05
- 刊出日期: 2019-02-05

An analysis of spatial co-occurrence pattern of fish species of Yangtze River estuary based on probabilistic model

Jianhui WU^{1, 2
,},
Jiaqi WANG^{1, 3, 4},
Xiaojie DAI^{1, 3, 4, 5},
Siquan TIAN^{1, 3, 4, 5
, ,},
Jian LIU²,
Jinhui CHEN²,
Xuefang WANG^{1, 3, 4, 5}

1.
College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
2.
Superintendence Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai 200092, China
3.
National Data Center for Distant-Water Fisheries of China , Shanghai 201306, China
4.
Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
5.
National Distant-Water Fisheries Engineering Research Center, Shanghai 201306, China

摘要

摘要: 根据2012—2014年长江口的渔业资源调查数据，采用概率模型、网络分析方法对长江口鱼类群落物种空间共现模式及影响因素进行综合分析。结果表明，长江口鱼类群落模式主要为物种的随机共现，群落构建中以中性元素的影响占主导地位，环境变化驱动的随机因素对种间共现的影响大于种间相互作用；种间共现模式有显著的季节差异，这种季节差异主要与海洋洄游型鱼类和河口定居型鱼类的季节更替有关；高物种权度和中间中心性种类的季节性更替影响种间共现模式的随机性；棘头梅童鱼(Collichthys lucidus)对群落内信息交换的控制能力较强，在长江口鱼类群落中处于核心地位。
- 鱼类种间共现 /
- 成对概率分析 /
- 网络分析方法 /
- 群落构建 /
- 长江口
Abstract: Based on the data of fishery resources surveys in the Yangtze River estuary from 2012 to 2014, the spatial co-occurrence patterns and influencing factors of fish communities in that area were analyzed by using probability model and network analysis method. The results show that the fish community pattern in the Yangze River estuary is mainly the random co-occurrence of species. The influence of neutral elements was dominant in community construction, and the effect of random factors driven by environmental change on interspecific co-occurrence was greater than that of interspecific interaction. There was significant seasonal difference in the patterns of interspecific co-occurrence, which was mainly related to the seasonal changes of migratory marine fish and estuarine sediment fish. The seasonal replacement of fish species with high weighted degree and betweenness centrality might also have caused the high number of randomly associated pairs of species. It is also shown that Collikithys lucidus has strong ability to control information exchange within the community and is at the core of the fish community structure in the Yangtze River estuary.
- fish species co-occurrence /
- pair-wise probabilistic analysis /
- networks theory /
- community assembly /
- Yangtze River estuary

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图 1 调查站点图分布图

Figure 1. Distribution of sampling sites

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图 2 长江口鱼类种间共现模式

Figure 2. Co-occurrence patterns of fish species in Yangtze River estuary

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图 3 长江口鱼类种间共现模式季节变化

Figure 3. Seasonal variance of fish species co-occurrence patterns in Yangtze River estuary

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图 4 长江口鱼类种间共现网络季节变化

Figure 4. Seasonal variation of fish species co-occurrence networks in Yangtze River estuary

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图 5 长江口鱼类群落各季节权度和局部聚类系数 (均值±标准误)

Figure 5. Bar plots of $\overline X$±SE of weight degrees and local clustering coefficients in different seasons in Yangtze River estuary

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表 1 长江口鱼类组成 (2012—2014年)

Table 1. Fish species composition in Yangtze River estuary (2012−2014)

目 Order	科 Family	种 Species	频次 frequency	相对重要性指数 IRI
鲱形目 Clupeiformes	鳀科	赤鼻棱鳀 Thrissa kammalensis	3	0.62
		黄鲫 Setipinna taty	2	0.07
		刀鲚 Coilia nasus	56	128.20
		凤鲚 Coilia mystus	34	73.15
鲑形目 Salmoniformes	银鱼科	大银鱼 Protosalanx hyalocranius	4	0.18
灯笼鱼目 Myctophiformes	狗母鱼科	龙头鱼 Harpodon nehereus	24	77.77
鳗鲡目 Anguilliformes	海鳗科	海鳗 Muraensox cinereus	3	0.41
鲤形目 Cypriniformes	鲤科	贝氏䱗 Hemiculter bleekeri	3	0.27
鲤形目 Cypriniformes	鲤科	长蛇 Saurogobio dumerili	3	0.21
鲇形目 Siluriformes	鲿科	光泽黄颡鱼 Pelteobagrus nitidus	31	58.81
鲇形目 Siluriformes	鲿科	长吻 Leiocassis longirostris	4	0.48
鲻形目 Mugiliformes	鲻科	鲻 Mugil cephalus	2	0.13
鲻形目 Mugiliformes	鲻科	鮻 Liza haematocheila	5	0.32
鲈形目 Perciformes	马鲅科	多鳞四指马鲅 Eleutheronema rhadinum	5	0.35
	鮨科	中国花鲈 Lateolabrax maculatus	6	1.23
	石首鱼科	黄姑鱼 Nibea albifora	16	30.26
		白姑鱼 Argyrosomus argentatus	30	47.78
		鮸 Miichthys miiuy	8	3.12
		棘头梅童鱼 Collichthys lucidus	48	1 340.92
	虾虎鱼科	髭缟虾虎鱼 Triaenopogon barbatus	11	7.10
		纹缟虾虎鱼 Tridentiger trigonocephalus	1	0.04
		波氏吻虾虎鱼 Ctenogobius cliffordpopei	1	0.01
		狼牙鳗虾虎鱼 Taenioides anguillaris	54	185.98
		拉氏狼牙虾虎鱼 Odontamblyopus lacepedii	5	1.81
		睛尾蝌蚪虾虎鱼 Lophiogobius ocellicauda	53	262.44
		矛尾虾虎鱼 Chaeturichthys stigmatias	31	198.59
		斑尾刺虾虎鱼 Synechogobius ommaturus	11	6.72
		孔虾虎鱼 Trypauchen vagina	38	120.72
	鲳科	银鲳 Pampus argenteus	8	1.50
	䲗科	香斜棘䲗 Repomucenus olidus	2	0.04
鲉形目 Scorpaeniformes	鲂鮄科	小眼绿鳍鱼 Chelidonichthys spinosus	1	0.88
鲉形目 Scorpaeniformes	鲬科	鲬 Platycephalus indicus	1	0.01
鲽形目 Pleuronectiformes	舌鳎科	日本须鳎 Paraplagusia japonica	1	0.03
		短吻红舌鳎 Cynoglossus joyneri	23	109.89
		窄体舌鳎 Cynoglossus gracilis	75	705.37
	鳎科	带纹条鳎 Zebrias zebra	1	0.21
鲀形目 Tetraodontiformes	鲀科	暗纹东方鲀 Takifugu obscurus	1	0.02
鲀形目 Tetraodontiformes	鲀科	黄鳍东方鲀 Takifugu xanthopterus	1	0.37

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表 2 长江口鱼类共现模式呈正相关、负相关和随机性的种对数量

Table 2. Number of pairs of fish species with positive, negative and random co-occurrence patterns in Yangtze River estuary

月份 month	物种数 number of species	共现模式 pattern of co-occurrence
月份 month	物种数 number of species	正相关 positive	负相关 negative	随机 random
2月 Feb.	18	3	3	147
5月 May	24	11	4	261
8月 Aug.	27	51	4	296
11月 Nov.	27	26	6	319
总体 total	38	76	12	615

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参考文献(33)

[1]	VEECH J A. A probability-based analysis of temporal and spatial co-occurrence in grassland birds[J]. J Biogeogr, 2006, 33(12): 2145-2153. doi: 10.1111/jbi.2006.33.issue-12
[2]	牛克昌, 刘怿宁, 沈泽昊, 等. 群落构建的中性理论和生态位理论[J]. 生物多样性, 2009, 17(6): 579-593.
[3]	MACI S, BASSET A. Composition, structural characteristics and temporal patterns of fish assemblages in non-tidal Mediterranean lagoons: a case study[J]. Estuar Coast Shelf Sci, 2009, 83(4): 602-612. doi: 10.1016/j.ecss.2009.05.007
[4]	BELL G. The distribution of abundance in neutral communities[J]. Am Nat, 2000, 155(5): 606-617. doi: 10.1086/303345
[5]	HUBBELL S P. Neutral theory in community ecology and the hypothesis of functional equivalence[J]. Funct Ecol, 2005, 19(1): 166-172. doi: 10.1111/fec.2005.19.issue-1
[6]	GRAVEL D, CANHAM C D, BEAUDET M, et al. Reconciling niche and neutrality: the continuum hypothesis[J]. Ecol Lett, 2006, 9(4): 399-409. doi: 10.1111/j.1461-0248.2006.00884.x
[7]	LEIBOLD M A, MCPEEK M A. Coexistence of the niche and neutral perspectives in community ecology[J]. Ecology, 2006, 87(6): 1399-1410. doi: 10.1890/0012-9658(2006)87[1399:COTNAN]2.0.CO;2
[8]	GOTELLI N J. Null model analysis of species co-occurrence patterns[J]. Ecology, 2000, 81(9): 2606-2621. doi: 10.1890/0012-9658(2000)081[2606:NMAOSC]2.0.CO;2
[9]	PERESNETO P R. Patterns in the co-occurrence of fish species in streams: the role of site suitability, morphology and phylogeny versus species interactions[J]. Oecologia, 2004, 140(2): 352-360. doi: 10.1007/s00442-004-1578-3
[10]	史赟荣, 沈新强, 王云龙. 海湾鱼类群落物种共现机制──以湄洲湾为例[J]. 中国水产科学, 2016, 23(1): 169-176.
[11]	ECHEVARRÍA G, RODRÍGUEZ J P. Co-occurrence patterns of fish species in two aquatic habitats of the Arauca River floodplain, Venezuela[J]. Community Ecol, 2017, 18(2): 137-148. doi: 10.1556/168.2017.18.2.3
[12]	VEECH J A. A probabilistic model for analysing species co-occurrence[J]. Global Ecol Biogeogr, 2013, 22(2): 252-260. doi: 10.1111/j.1466-8238.2012.00789.x
[13]	PROULX S R, PROMISLOW D E, PHILLIPS P C. Network thinking in ecology and evolution[J]. Trends Ecol Evol, 2005, 20(6): 345-353. doi: 10.1016/j.tree.2005.04.004
[14]	GIRVAN M, NEWMAN M E. Community structure in social and biological networks[J]. Proc Natl Acad Sci USA, 2002, 99(12): 7821-7826. doi: 10.1073/pnas.122653799
[15]	杨涛, 单秀娟, 金显仕, 等. 莱州湾鱼类群落的关键种[J]. 水产学报, 2016, 40(10): 1613-1623.
[16]	WILLIAMS R J, HOWE A, HOFMOCKEL K S. Demonstrating microbial co-occurrence pattern analyses within and between ecosystems[J]. Front Microbiol, 2014, 5: 358.
[17]	MORUETA-HOLME N, BLONDER B, SANDEL B, et al. A network approach for inferring species associations from co-occurrence data[J]. Ecography (Cop.), 2016, 39(12): 1139-1150. doi: 10.1111/ecog.01892
[18]	杨刚. 长江口鱼类群落结构及其与重要环境因子的相关性[D]. 上海: 上海海洋大学, 2012: 21-34.
[19]	庄平. 长江口鱼类[M]. 上海: 上海科学技术出版社, 2006: 67-389.
[20]	GRIFFITH D M, VEECH J A, MARSH C J. Cooccur: probabilistic species co-occurrence analysis in R[J]. J Stat Softw, 2016, 69(C2): 1-17.
[21]	CSÁRDI G, NEPUSZ T. The igraph software package for complex network research[J]. Int J Complex Syst, 2006: 1695.
[22]	OPSAHL T, AGNEESSENS F, SKVORETZ J. Node centrality in weighted networks: generalizing degree and shortest paths[J]. Soc Networks, 2010, 32(3): 245-251. doi: 10.1016/j.socnet.2010.03.006
[23]	OPSAHL T. Structure and evolution of weighted networks[M]. London: Queen Mary University of London, 2009: 104-122.
[24]	BARRAT A, BARTHÉELEMY M, PASTOR-SATORRAS R, et al. The architecture of complex weighted networks[J]. Proc Natl Acad Sci USA, 2004, 101(11): 3747-3752. doi: 10.1073/pnas.0400087101
[25]	张崇良, 陈勇, 韩东燕, 等. 生态模型在渔业管理中的应用[J]. 海洋学报, 2017, 39(10): 1-18. doi: 10.3969/j.issn.0253-4193.2017.10.001
[26]	PETRY P, BAYLEY P B, MARKLE D F. Relationships between fish assemblages, macrophytes and environmental gradients in the Amazon River floodplain[J]. J Fish Biol, 2003, 63(3): 547-579. doi: 10.1046/j.1095-8649.2003.00169.x
[27]	LEWIS W M, HAMILTON S K, LASI M A, et al. Ecological determinism on the Orinoco floodplain[J]. Bioscience, 2000, 50(8): 681-692. doi: 10.1641/0006-3568(2000)050[0681:EDOTOF]2.0.CO;2
[28]	HOEINGHAUS D J, WINEMILLER K O, BIRNBAUM J S. Local and regional determinants of stream fish assemblage structure: inferences based on taxonomic vs. functional groups[J]. J Biogeogr, 2007, 34(2): 324-338. doi: 10.1111/jbi.2007.34.issue-2
[29]	De AZEVEDO M C, ARAÚJO F G, PESSANHA A L M, et al. Co-occurrence of demersal fishes in a tropical bay in southeastern Brazil: a null model analysis[J]. Estuar Coast Shelf Sci, 2006, 66(1): 315-322.
[30]	BARRIO I C, HIK D S, BUENO C G, et al. Extending the stress-gradient hypothesis-is competition among animals less common in harsh environments?[J]. Oikos, 2013, 122(4): 516-523. doi: 10.1111/more.2013.122.issue-4
[31]	罗秉征, 韦晟, 窦硕增. 长江口鱼类食物网与营养结构的研究[J]. 海洋科学集刊, 1997(1): 147-157.
[32]	沈新强, 史赞荣, 晁敏, 等. 夏、秋季长江口鱼类群落结构[J]. 水产学报, 2011, 35(5): 700-710.
[33]	张衡, 全为民, 陈渊戈, 等. 长江口口门区潮下带水域鱼类群落组成的季节变化[J]. 长江流域资源与环境, 2014, 23(11): 1534-1539.