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Zhang H, Niu H, Steele MA, Peng L, He H, Li A, Yi X, Li H, Zhang Z. Masting promotes transformation from predation to mutualism in an oak-weevil-rodent system. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1514-1524. [PMID: 38558376 DOI: 10.1007/s11427-023-2517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/21/2023] [Indexed: 04/04/2024]
Abstract
The significance of ecological non-monotonicity (a function whose first derivative changes signs) in shaping the structure and functions of the ecosystem has recently been recognized, but such studies involving high-order interactions are rare. Here, we have proposed a three-trophic conceptual diagram on interactions among trees, rodents, and insects in mast and non-mast years and tested the hypothesis that oak (Quercus wutaishanica) masting could result in increased mutualism and less predation in an oak-weevil-rodent system in a warm temperate forest of China. Our 14-year dataset revealed that mast years coincided with a relatively low rodent abundance but a high weevil abundance. Masting not only benefited seedling recruitment of oaks through increased dispersal by rodents but also a decrease in predation by rodents and weevils, as well as an increase in the overwintering survival of rodents. Masting appeared to have increased weevil survival by reducing predation of infested acorns by rodents. These results suggest that masting benefits all participants in the plant-insect-rodent system by increasing mutualism and reducing predation behavior (i.e., a non-monotonic function). Our study highlights the significance of masting in maintaining the diversity and function of the forest ecosystem by facilitating the transformation from predation to mutualism among trophic species.
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Affiliation(s)
- Hongmao Zhang
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
| | - Hongyu Niu
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Michael A Steele
- Department of Biology, Wilkes University, Wilkes-Barre, 18766, USA
| | - Liqing Peng
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Huimin He
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Aoqiang Li
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Xianfeng Yi
- School of Life Sciences, Qufu Normal University, Qufu, 273165, China
| | - Hongjun Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
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Hanusch M, He X, Janssen S, Selke J, Trutschnig W, Junker RR. Exploring the Frequency and Distribution of Ecological Non-monotonicity in Associations among Ecosystem Constituents. Ecosystems 2023; 26:1819-1840. [PMID: 38106357 PMCID: PMC10721710 DOI: 10.1007/s10021-023-00867-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 07/06/2023] [Indexed: 12/19/2023]
Abstract
Complex links between biotic and abiotic constituents are fundamental for the functioning of ecosystems. Although non-monotonic interactions and associations are known to increase the stability, diversity, and productivity of ecosystems, they are frequently ignored by community-level standard statistical approaches. Using the copula-based dependence measure qad, capable of quantifying the directed and asymmetric dependence between variables for all forms of (functional) relationships, we determined the proportion of non-monotonic associations between different constituents of an ecosystem (plants, bacteria, fungi, and environmental parameters). Here, we show that up to 59% of all statistically significant associations are non-monotonic. Further, we show that pairwise associations between plants, bacteria, fungi, and environmental parameters are specifically characterized by their strength and degree of monotonicity, for example, microbe-microbe associations are on average stronger than and differ in degree of non-monotonicity from plant-microbe associations. Considering directed and non-monotonic associations, we extended the concept of ecosystem coupling providing more complete insights into the internal order of ecosystems. Our results emphasize the importance of ecological non-monotonicity in characterizing and understanding ecosystem patterns and processes. Supplementary Information The online version contains supplementary material available at 10.1007/s10021-023-00867-9.
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Affiliation(s)
- Maximilian Hanusch
- Department of Environment and Biodiversity, Paris-Lodron-University Salzburg, 5020 Salzburg, Austria
| | - Xie He
- Department of Environment and Biodiversity, Paris-Lodron-University Salzburg, 5020 Salzburg, Austria
| | - Stefan Janssen
- Algorithmic Bioinformatics, Justus-Liebig-University Giessen, 35390 Giessen, Germany
| | - Julian Selke
- Algorithmic Bioinformatics, Justus-Liebig-University Giessen, 35390 Giessen, Germany
| | - Wolfgang Trutschnig
- Department for Artificial Intelligence & Human Interfaces, Paris-Lodron-University Salzburg, 5020 Salzburg, Austria
| | - Robert R. Junker
- Department of Environment and Biodiversity, Paris-Lodron-University Salzburg, 5020 Salzburg, Austria
- Evolutionary Ecology of Plants, Department of Biology, Philipps-University Marburg, 35043 Marburg, Germany
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Zhang Z, Yan C, Zhang H. Mutualism between antagonists: its ecological and evolutionary implications. Integr Zool 2020; 16:84-96. [PMID: 32930482 DOI: 10.1111/1749-4877.12487] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Mutualism or antagonism between species is often investigated within the framework of monotonic interactions of either mutualism or antagonism, but studies on transition from mutualism to antagonism (within the context of nonmonotonic interactions) have been largely ignored. In this paper, through a brief review and synthesis, we highlighted the role of mutualism between antagonists in regulating the ecological and evolutionary processes, as well as maintaining the stability and complexity of ecosystems. Mutualism between antagonistic species represents the density-dependent transition between mutualism and antagonism, which is beneficial to species coexistence and stability of complex ecosystems; thus, it should be favored by natural selection. Species may face selection of conflicting pressure on functional traits in co-balancing mutualism and antagonism, which may result in evolution of the dual character of species with moderate mutualistic or antagonistic traits. Coevolution and co-balance of these traits are driving forces in shaping mutualism-antagonism systems. Rewards for mutualists, punishment for exploiters, and competition of meta-communities are essential in stabilizing mutualism between antagonists. We appeal for more studies on mutualism between antagonists and its ecological and evolutionary implications by expanding the conventional ecological studies from monotonic to nonmonotonic regimes.
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Affiliation(s)
- Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Chuan Yan
- State Key Laboratory of Grassland Agro-ecosystem, Institute of Innovation Ecology & College of Life Sciences, Lanzhou University, Lanzhou, China
| | - Hongmao Zhang
- School of Life Sciences, Institute of Evolution and Ecology, Central China Normal University, Wuhan, China
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Zeng D, Jin T, Zhao Y, Yan C, Zhang Z, Ding P. Rodent abundance triggered switch between the relative mutualism and predation in a rodent-seed system of the subtropical island forest. Integr Zool 2020; 16:109-119. [PMID: 33443820 DOI: 10.1111/1749-4877.12475] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Density-dependent non-monotonic species interactions are important in maintaining ecosystem stability and function, but empirical evidences are still rare. Rodents, as both seed dispersers and seed predators, have dual effects on plant regeneration and may result in non-monotonic rodent-plant interactions. According to the non-monotonic models, the relative positive or negative effects of rodents on seedling establishment can be measured based on the positive or negative association of seedling recruitment rate and rodent abundance. In this study, we investigated the fates of acorns of Quercus serrata by tracking tagged seeds on 21 fragmented subtropical islands in the Thousand Island Lake, China. We found that the proportion of germinated seeds of all released seeds showed a dome-shaped association with rodent abundance per seed. The proportion of removed seeds and cached seeds showed a saturated- and a weak dome-shaped association with rodent abundance per seed, respectively. Our results demonstrated a clear empirical evidence that rodent abundance per seed triggered a switch between the relative mutualism and predation in a rodent-seed system. Our study implied that the observed non-monotonic interactions between plants and animals may play a significant role in maintaining biodiversity and ecosystem function. We appeal for more investigations of the complex non-monotonic interactions in various ecosystems.
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Affiliation(s)
- Di Zeng
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Tinghao Jin
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yuhao Zhao
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Chuan Yan
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,Institute of Innovation Ecology, Lanzhou University, Lanzhou, Gansu, China
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Ping Ding
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
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Yan C, Zhang Z. Impacts of consumer–resource interaction transitions on persistence and long‐term interaction outcomes of random ecological networks. OIKOS 2019. [DOI: 10.1111/oik.06002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Chuan Yan
- State Key Laboratory of Integrated Management on Pest Insects and Rodents in Agriculture, Inst. of Zoology, Chinese Academy of Sciences CN‐100101 Beijing PR China
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management on Pest Insects and Rodents in Agriculture, Inst. of Zoology, Chinese Academy of Sciences CN‐100101 Beijing PR China
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Yan C, Zhang Z. Meta-community selection favours reciprocal cooperation but depresses exploitation between competitors. ECOLOGICAL COMPLEXITY 2019. [DOI: 10.1016/j.ecocom.2018.11.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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