The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience

Identifying the relation between biodiversity and mutualistic ecosystem function has been a longstanding concern. In this study, we present an interpretive model to evaluate the impact of each species on mutualistic ecosystem functions. By analyzing network resilience, we derive the average abundanc...

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Main Authors: Changchun Lv, Ye Zhang, Yulin Lei, Ziwei Yuan, Dongli Duan
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Entropy
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Online Access:https://www.mdpi.com/1099-4300/27/3/231
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author Changchun Lv
Ye Zhang
Yulin Lei
Ziwei Yuan
Dongli Duan
author_facet Changchun Lv
Ye Zhang
Yulin Lei
Ziwei Yuan
Dongli Duan
author_sort Changchun Lv
collection DOAJ
description Identifying the relation between biodiversity and mutualistic ecosystem function has been a longstanding concern. In this study, we present an interpretive model to evaluate the impact of each species on mutualistic ecosystem functions. By analyzing network resilience, we derive the average abundance and tipping point of the ecosystem to represent ecosystem functions. Based on the order of species collapse, each species is classified according to the <i>F</i>-core. The model quantitatively evaluates the influence of species on mutualistic ecosystem functions in scenarios where species are removed from ecosystems. We propose a criterion for identifying redundant species: a species is considered redundant if its removal negatively impacts average abundance without affecting the tipping point. To validate the model, we introduce twenty-four mutualistic ecosystems. Our numerical simulations and analytical analyses reveal two distinct patterns: one indicating the presence of redundancy and the other suggesting that each species is essential. Additionally, in mutualistic ecosystems characterized by redundancy, specialist species are more likely to be identified as redundant.
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institution Kabale University
issn 1099-4300
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publishDate 2025-02-01
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series Entropy
spelling doaj-art-18a75aecc79e4dc5935f2a48b538f97d2025-08-20T03:43:27ZengMDPI AGEntropy1099-43002025-02-0127323110.3390/e27030231The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network ResilienceChangchun Lv0Ye Zhang1Yulin Lei2Ziwei Yuan3Dongli Duan4School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaSchool of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaSchool of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaIdentifying the relation between biodiversity and mutualistic ecosystem function has been a longstanding concern. In this study, we present an interpretive model to evaluate the impact of each species on mutualistic ecosystem functions. By analyzing network resilience, we derive the average abundance and tipping point of the ecosystem to represent ecosystem functions. Based on the order of species collapse, each species is classified according to the <i>F</i>-core. The model quantitatively evaluates the influence of species on mutualistic ecosystem functions in scenarios where species are removed from ecosystems. We propose a criterion for identifying redundant species: a species is considered redundant if its removal negatively impacts average abundance without affecting the tipping point. To validate the model, we introduce twenty-four mutualistic ecosystems. Our numerical simulations and analytical analyses reveal two distinct patterns: one indicating the presence of redundancy and the other suggesting that each species is essential. Additionally, in mutualistic ecosystems characterized by redundancy, specialist species are more likely to be identified as redundant.https://www.mdpi.com/1099-4300/27/3/231complex networkbiodiversitymutualistic ecosystem functionnetwork resilienceredundancy hypothesis
spellingShingle Changchun Lv
Ye Zhang
Yulin Lei
Ziwei Yuan
Dongli Duan
The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
Entropy
complex network
biodiversity
mutualistic ecosystem function
network resilience
redundancy hypothesis
title The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
title_full The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
title_fullStr The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
title_full_unstemmed The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
title_short The Identification of Patterns in the Relation Between Biodiversity and Mutualistic Ecosystem Function Based on Network Resilience
title_sort identification of patterns in the relation between biodiversity and mutualistic ecosystem function based on network resilience
topic complex network
biodiversity
mutualistic ecosystem function
network resilience
redundancy hypothesis
url https://www.mdpi.com/1099-4300/27/3/231
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