Use of the self-organizing map (SOM) for the characterization of macrobenthic populations

被引:9
|
作者
Adandedjan, Delphine [1 ]
Montcho, Simon Ahouansou [1 ]
Chikou, Antoine [1 ]
Laleye, Philippe [1 ]
Gourene, Germain [2 ]
机构
[1] Univ Abomey Calavi, Fac Sci Agron, Lab Hydrobiol & Aquaculture, FSA UAC, Cotonou, Benin
[2] Univ Abobo Adjame, Lab Environm & Biol Appl UFR SGE, Abidjan 02, Cote Ivoire
关键词
Benthic macrofauna; Lagoon; SOM; Distribution; Stress; Benin; NEURAL-NETWORKS;
D O I
10.1016/j.crvi.2013.04.009
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Macrobenthic organisms are much used nowadays as bio-indicators for their ability to reflect different disturbances of aquatic ecosystems. However, they have never been used to assess the ecological status of the lagoons of Benin. The current study aims at revealing the ecological state of the lagoon of Porto-Novo through the study of changes in the settlement of benthic organisms collected in this lagoon. The sampling was carried out from July 2007 to June 2009 on a frequency of four seasons of collection per year. The self-organizing map (SOM) of Kohonen has been used for various patterns of distribution of collected organisms. A discriminant analysis (AFD) has allowed the identification of the parameters that govern the patterns observed in this environment. Four groups of macrobenthic communities emerged that were well predicted (75%). The distribution of benthic macro invertebrates of this lagoon is therefore zonal, seasonal and discriminated by variables of mineralization and sediment grain size. The difference in taxonomic richness corresponds to environmental conditions of stations appearing more or less stable and highlighting a gradient of the stress on organisms. Places with unstable conditions are affected by human activities due to their proximity to homes that are enriched in organic matter. These places are full of polluted-tolerant species such as the Gastropods Potamididae, Cirratulidae Polychaetes, Diptera Chironomidae and Oligochaeta. The macrobenthic fauna, which is well differentiated in the groups, is then subjected to human disturbance. (C) 2013 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:244 / 248
页数:5
相关论文
共 50 条
  • [41] Essentials of the self-organizing map
    Kohonen, Teuvo
    [J]. NEURAL NETWORKS, 2013, 37 : 52 - 65
  • [42] The diffuse self-organizing map
    Wang, Y
    Zeng, CH
    Mei, T
    Liu, WQ
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 3530 - 3535
  • [43] The Self-Organizing Map of Trees
    Markus Peura
    [J]. Neural Processing Letters, 1998, 8 : 155 - 162
  • [44] A Riemannian Self-Organizing Map
    Yu, Dongjun
    Hancock, Edwin R.
    Smith, William A. P.
    [J]. IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS, 2009, 5716 : 229 - +
  • [45] A Pareto Self-Organizing Map
    Hunter, A
    Kennedy, RL
    [J]. ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 987 - 992
  • [46] PARALLEL SELF-ORGANIZING MAP
    Li Weigang Department of Computer Science CIC
    [J]. Transactions of Nonferrous Metals Society of China, 1999, (01) : 174 - 182
  • [47] Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application
    Kalteh, A. M.
    Hiorth, P.
    Bemdtsson, R.
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2008, 23 (07) : 835 - 845
  • [48] Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
    Jamil, Saadia
    Rehman, Eid
    Shahzad, Tariq
    Ishtiaq, Muhammad
    Mazhar, Tehseen
    Yasin Ghadi, Yazeed
    Ahmed, Arfan
    [J]. IEEE ACCESS, 2024, 12 : 85806 - 85821
  • [49] A Probabilistic Approach to Support Self-Organizing Map (SOM) Driven Facial Expression Recognition
    Chowdhury, Muhammad Iqbal Hasan
    Alam, Fahim Irfan
    [J]. 2014 17TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT), 2014, : 210 - 216
  • [50] A novel self-organizing map (SOM) neural network for discrete groups of data clustering
    Ghaseminezhad, M. H.
    Karami, A.
    [J]. APPLIED SOFT COMPUTING, 2011, 11 (04) : 3771 - 3778