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Structural Emergence in Mutualistic Networks

An article based on this thesis is available at https://onlinelibrary.wiley.com/doi/abs/10.1111/oik.06053

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Main Author: Nnakenyi, Chinenye Assumpta
Other Authors: Hui, Cang
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2016
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access_status_str Open Access
author Nnakenyi, Chinenye Assumpta
author2 Hui, Cang
author_browse Hui, Cang
Nnakenyi, Chinenye Assumpta
author_facet Hui, Cang
Nnakenyi, Chinenye Assumpta
author_sort Nnakenyi, Chinenye Assumpta
collection Thesis
dc_rights_str_mv Stellenbosch University
description An article based on this thesis is available at https://onlinelibrary.wiley.com/doi/abs/10.1111/oik.06053
format Thesis
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institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:44:41.084Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Stellenbosch : Stellenbosch University
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/100423 Structural Emergence in Mutualistic Networks Nnakenyi, Chinenye Assumpta Hui, Cang Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Mutualism (Biology) -- Mathematical models System theory Pollination -- Mathematical models Biogeography -- Galapagos Islands Nestedness Modules (Algbra) UCTD An article based on this thesis is available at https://onlinelibrary.wiley.com/doi/abs/10.1111/oik.06053 Thesis (MSc)--Stellenbosch University, 2016. ENGLISH ABSTRACT: Mutualistic interactions are vital in sustaining species, maintaining the functions and services of the ecosystem. Network structures such as nestedness and modularity have being reported to emerge as a result of the mutualistic interactions. Although these structures have being found to have effect in the stability of mutualistic communities, mechanisms that lead to the emergence of these structures are not fully understood. From the observed pollination data of 10 Galápagos Islands, we use a modified Lotka-Voltera model of mutualism that incorporates species competition, functional responses and adaptive rewiring (Adaptive Interaction Switching [AIS] model) to predict the observed network structures. From the AIS model, almost 40% variation of the observed nestedness and more than 50% variation of the observed modularity was explained. Furthermore, using a Generalized Linear Model (GLM), the effect of environmental variables such as geographic factors (island area, isolation, age and maximum elevation) and anthropogenic factors (sampling effort and human population size) were considered together with the AIS model. The GLM can account for more than 78% variation of the observed nestedness and more than 85% of the observed modularity, with island area, isolation, sampling effort and human population size the most important variables, contributing significantly to the observed network structures. Therefore, pollination networks on Galápagos Islands are structured. The AIS model implemented can explain an appreciable level of network structure. Together with environmental variables, the results echo the importance of island area and isolation (as of island biogeography), human disturbance, sampling effort, as well as the adaptive rewiring (ecological fitting), as a candidate model for mutualistic network emergence. AFRIKAANSE OPSOMMING: Mutualistiese interaksie is noodsaaklik vir die handhawing van spesies en die onderhoud van funksies en dienste van die ekosisteem. Netwerkstrukture soos genestheid en modulariteit is al berig om as 'n resultaat van sulke mutualistiese interaksies na vore te kom. Alhoewel hierdie strukture bevind is om 'n effek te hê op die stabiliteit van mutualistiese gemeenskappe, word meganismes wat lei tot die opkoms van hierdie strukture nog nie goed verstaan nie. Deur 10 bestuiwingsdata van die Galápagos-eilande the gebruik, het ons 'n aangepaste Lotka-Volterra model van mutualisme gebruik wat kompetisie tussen spesies, funksionele reaksies en aanpasbare herbedrading [rewiring] (Adaptive Interactive Switching [AIS] model) inkorporeer om die waargenome netwerkstrukture te voorspel. Uit die AIS model is byna 40% variasie van die waargenome genstheid en meer as 50% variasie van die waargenome modulariteit verduidelik. Verder, deur 'n Veralgemeende lineêre model (of GLM vir Generalized Linear Model) te gebruik, is die effek van geografiese faktore (eilandoppervlakte, isolasie, ouderdom en maksimum hoogte bo seespieël) en antropogeniese faktore (poging tot steekproefneming en menslike bevolkingsgrootte) saam met die AIS model in ag geneem. Die GLM kan tot 78% variasie van die waargenome genestheid en meer as 85% van die waargenome modulariteit verduidelik, met eliandoppervlakte, isolasie, poging tot steekproefneming en menslike bevolkingsgrootte die belangrikste veranderlikes wat aansienlik bydrae tot die waargenome netwerkstrukture. Daarom is netwerke op die Galápagos-eilande gestruktureerd. Die AIS model wat ons geïmplememteer het, kan 'n aansienlike vlak van netwerkstrukture verduidelik. Saam met omgewingsveranderlikes weerspieël die bevindings die belang van eilandoppervlakte en isolasie (soos van eiland biogeografie), menslike versteuring, poging tot steekproefneming sowel as aanpasbare herbedrading (ekologiese passing) as 'n kandidaatmodel vir mutualistiese netwerkopkoms. Masters 2016-12-22T14:27:30Z 2019-12-31T03:00:13Z 2016-12 Thesis http://hdl.handle.net/10019.1/100423 en_ZA Stellenbosch University xvii, 77 pages : illustrations application/pdf application/pdf Stellenbosch : Stellenbosch University
spellingShingle Mutualism (Biology) -- Mathematical models
System theory
Pollination -- Mathematical models
Biogeography -- Galapagos Islands
Nestedness
Modules (Algbra)
UCTD
Nnakenyi, Chinenye Assumpta
Structural Emergence in Mutualistic Networks
title Structural Emergence in Mutualistic Networks
title_full Structural Emergence in Mutualistic Networks
title_fullStr Structural Emergence in Mutualistic Networks
title_full_unstemmed Structural Emergence in Mutualistic Networks
title_short Structural Emergence in Mutualistic Networks
title_sort structural emergence in mutualistic networks
topic Mutualism (Biology) -- Mathematical models
System theory
Pollination -- Mathematical models
Biogeography -- Galapagos Islands
Nestedness
Modules (Algbra)
UCTD
url http://hdl.handle.net/10019.1/100423
work_keys_str_mv AT nnakenyichinenyeassumpta structuralemergenceinmutualisticnetworks