Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness

Trophic niches condition the energetic performance of species within food webs providing a vital link between food web assembly, species diversity, and functioning of ecosystems. Our understanding of this important link is, however, limited by the lack of empirical tools that can be easily applied t...

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Main Authors: Yulun Guo, Tao Wang, García Molinos Jorge, Huan Zhang, Peiyu Zhang, Min Zhang, Jun Xu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/10/2828
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author Yulun Guo
Tao Wang
García Molinos Jorge
Huan Zhang
Peiyu Zhang
Min Zhang
Jun Xu
author_facet Yulun Guo
Tao Wang
García Molinos Jorge
Huan Zhang
Peiyu Zhang
Min Zhang
Jun Xu
author_sort Yulun Guo
collection DOAJ
description Trophic niches condition the energetic performance of species within food webs providing a vital link between food web assembly, species diversity, and functioning of ecosystems. Our understanding of this important link is, however, limited by the lack of empirical tools that can be easily applied to compare entire food webs at regional scales. By comparison, with different a priori synthetic models defined according to specific assembly rules (i.e., purely random, limiting similarity, and niche filtering), we demonstrate that a set of food web properties (trophic richness, evenness, and divergence) are controlled by ecological processes. We further demonstrate that although both limiting similarity and niche filtering are statistically significant assembly processes shaping our studied lake food webs, their relative importance is richness-dependent, and contextual to the specific food web property under consideration. Our results have both important theoretical and practical implications. Theoretically, the observed richness-dependent variation on food web properties contradicts the common criticism on food web theory that food web properties are roughly scale-invariant. Practically, these properties can help avoiding spurious conclusions, while providing useful information for multiple food web niche spaces supporting the ecosystem functioning.
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spelling doaj.art-a3f04e4a28a6455dbd67a9eae40fdca52023-11-20T16:41:43ZengMDPI AGWater2073-44412020-10-011210282810.3390/w12102828Differential Responses of Food Web Properties to Opposite Assembly Rules and Species RichnessYulun Guo0Tao Wang1García Molinos Jorge2Huan Zhang3Peiyu Zhang4Min Zhang5Jun Xu6State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430000, ChinaState Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430000, ChinaArctic Research Center, Hokkaido University, Sapporo 001-0021, JapanState Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430000, ChinaState Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430000, ChinaFreshwater Aquaculture Collaborative Innovation Center of Hubei Province, Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430000, ChinaState Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430000, ChinaTrophic niches condition the energetic performance of species within food webs providing a vital link between food web assembly, species diversity, and functioning of ecosystems. Our understanding of this important link is, however, limited by the lack of empirical tools that can be easily applied to compare entire food webs at regional scales. By comparison, with different a priori synthetic models defined according to specific assembly rules (i.e., purely random, limiting similarity, and niche filtering), we demonstrate that a set of food web properties (trophic richness, evenness, and divergence) are controlled by ecological processes. We further demonstrate that although both limiting similarity and niche filtering are statistically significant assembly processes shaping our studied lake food webs, their relative importance is richness-dependent, and contextual to the specific food web property under consideration. Our results have both important theoretical and practical implications. Theoretically, the observed richness-dependent variation on food web properties contradicts the common criticism on food web theory that food web properties are roughly scale-invariant. Practically, these properties can help avoiding spurious conclusions, while providing useful information for multiple food web niche spaces supporting the ecosystem functioning.https://www.mdpi.com/2073-4441/12/10/2828fish assemblagesfloodplain lakesfood web assemblyniche spacetrophic diversitytrophic divergence
spellingShingle Yulun Guo
Tao Wang
García Molinos Jorge
Huan Zhang
Peiyu Zhang
Min Zhang
Jun Xu
Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
Water
fish assemblages
floodplain lakes
food web assembly
niche space
trophic diversity
trophic divergence
title Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
title_full Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
title_fullStr Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
title_full_unstemmed Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
title_short Differential Responses of Food Web Properties to Opposite Assembly Rules and Species Richness
title_sort differential responses of food web properties to opposite assembly rules and species richness
topic fish assemblages
floodplain lakes
food web assembly
niche space
trophic diversity
trophic divergence
url https://www.mdpi.com/2073-4441/12/10/2828
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