The evolution of ecosystem ascendency in a complex systems based model

被引:7
|
作者
Brinck, Katharina [1 ]
Jensen, Henrik Jeldtoft [1 ]
机构
[1] Imperial Coll London, Dept Math, Ctr Complex Sci, London SW7 2AZ, England
关键词
Ascendency; Ecosystem organisation; Evolution; Ecological networks; Development; Modelling; COMMUNITY STABILITY; TANGLED NATURE; FOOD WEBS; FLUCTUATIONS; CONNECTANCE; EMERGENCE; ECOLOGY;
D O I
10.1016/j.jtbi.2017.06.010
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
General patterns in ecosystem development can shed light on driving forces behind ecosystem formation and recovery and have been of long interest. In recent years, the need for integrative and process oriented approaches to capture ecosystem growth, development and organisation, as well as the scope of information theory as a descriptive tool has been addressed from various sides. However data collection of ecological network flows is difficult and tedious and comprehensive models are lacking. We use a hierarchical version of the Tangled Nature Model of evolutionary ecology to study the relationship between structure, flow and organisation in model ecosystems, their development over evolutionary time scales and their relation to ecosystem stability. Our findings support the validity of ecosystem ascendency as a meaningful measure of ecosystem organisation, which increases over evolutionary time scales and significantly drops during periods of disturbance. The results suggest a general trend towards both higher integrity and increased stability driven by functional and structural ecosystem coadaptation. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:18 / 25
页数:8
相关论文
共 50 条
  • [1] A Study on Ascendency of Estuary Ecosystem
    Xu, Yixin
    Zhang, Huayong
    Li, Fei
    Han, Lu
    Xu, Xiang
    ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3, 2013, 807-809 : 1866 - +
  • [2] Evaluation of system performance through optimizing ascendency in an aquatic ecosystem model
    Ray, S
    Berec, L
    Straskraba, M
    Ulanowicz, RE
    JOURNAL OF BIOLOGICAL SYSTEMS, 2001, 9 (04) : 269 - 290
  • [3] Evolution forms of land systems based on ascendency and overhead: A case study of Shaanxi Province, China
    Li Fei
    Zhou Meijun
    Shao Jiaqi
    Qin Zhangxuan
    ECOLOGICAL MODELLING, 2020, 419
  • [4] Study of biocomplexity in an aquatic ecosystem through ascendency
    Mandal, Sandip
    Ray, Santanu
    Roy, Samar Kumar
    BIOSYSTEMS, 2009, 95 (01) : 30 - 34
  • [5] An Agent-based Model for the Evolution of the Internet Ecosystem
    Dhamdhere, Amogh
    Dovrolis, Constantine
    2009 FIRST INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMSNETS 2009), 2009, : 493 - 502
  • [6] Cellular automaton model for evolution of complex systems
    Voitikova, MV
    DOKLADY AKADEMII NAUK BELARUSI, 1999, 43 (05): : 48 - 51
  • [7] Evolution Model of Equipment Support System of Systems Based on Complex Network Theory
    Gao L.
    Cao J.-H.
    Song T.-L.
    Xing B.
    Yan X.
    Cao, Jun-Hai (jhcao@163.com), 2019, China Ordnance Industry Corporation (38): : 2019 - 2030
  • [8] Adaptation of the ascendency theory to industrial systems
    Carvalho, Monica
    Serra, Luis M.
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2019, 41 (12)
  • [9] Adaptation of the ascendency theory to industrial systems
    Monica Carvalho
    Luis M. Serra
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41
  • [10] DKEM: A Distributed Knowledge Based Evolution Model for Service Ecosystem
    Wang, Xianghui
    Feng, Zhiyong
    Chen, Shizhan
    Huang, Keman
    2018 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (IEEE ICWS 2018), 2018, : 1 - 8