1
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Gao S, Wang H, Yuan S. Theory of Stoichiometric Intraguild Predation: Algae, Ciliate, and Daphnia. Bull Math Biol 2024; 86:79. [PMID: 38777905 DOI: 10.1007/s11538-024-01306-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/30/2024] [Indexed: 05/25/2024]
Abstract
Consumers respond differently to external nutrient changes than producers, resulting in a mismatch in elemental composition between them and potentially having a significant impact on their interactions. To explore the responses of herbivores and omnivores to changes in elemental composition in producers, we develop a novel stoichiometric model with an intraguild predation structure. The model is validated using experimental data, and the results show that our model can well capture the growth dynamics of these three species. Theoretical and numerical analyses reveal that the model exhibits complex dynamics, including chaotic-like oscillations and multiple types of bifurcations, and undergoes long transients and regime shifts. Under moderate light intensity and phosphate concentration, these three species can coexist. However, when the light intensity is high or the phosphate concentration is low, the energy enrichment paradox occurs, leading to the extinction of ciliate and Daphnia. Furthermore, if phosphate is sufficient, the competitive effect of ciliate and Daphnia on algae will be dominant, leading to competitive exclusion. Notably, when the phosphorus-to-carbon ratio of ciliate is in a suitable range, the energy enrichment paradox can be avoided, thus promoting the coexistence of species. These findings contribute to a deeper understanding of species coexistence and biodiversity.
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Affiliation(s)
- Shufei Gao
- College of Science, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Hao Wang
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1, Canada
| | - Sanling Yuan
- College of Science, University of Shanghai for Science and Technology, Shanghai, 200093, China.
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2
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Ibáñez C, Caiola N, Barquín J, Belmar O, Benito‐Granell X, Casals F, Fennessy S, Hughes J, Palmer M, Peñuelas J, Romero E, Sardans J, Williams M. Ecosystem-level effects of re-oligotrophication and N:P imbalances in rivers and estuaries on a global scale. GLOBAL CHANGE BIOLOGY 2023; 29:1248-1266. [PMID: 36366939 PMCID: PMC10107953 DOI: 10.1111/gcb.16520] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 05/26/2023]
Abstract
Trends and ecological consequences of phosphorus (P) decline and increasing nitrogen (N) to phosphorus (N:P) ratios in rivers and estuaries are reviewed and discussed. Results suggest that re-oligotrophication is a dominant trend in rivers and estuaries of high-income countries in the last two-three decades, while in low-income countries widespread eutrophication occurs. The decline in P is well documented in hundreds of rivers of United States and the European Union, but the biotic response of rivers and estuaries besides phytoplankton decline such as trends in phytoplankton composition, changes in primary production, ecosystem shifts, cascading effects, changes in ecosystem metabolism, etc., have not been sufficiently monitored and investigated, neither the effects of N:P imbalance. N:P imbalance has significant ecological effects that need to be further investigated. There is a growing number of cases in which phytoplankton biomass have been shown to decrease due to re-oligotrophication, but the potential regime shift from phytoplankton to macrophyte dominance described in shallow lakes has been documented only in a few rivers and estuaries yet. The main reasons why regime shifts are rarely described in rivers and estuaries are, from one hand the scarcity of data on macrophyte cover trends, and from the other hand physical factors such as peak flows or high turbidity that could prevent a general spread of submerged macrophytes as observed in shallow lakes. Moreover, re-oligotrophication effects on rivers may be different compared to lakes (e.g., lower dominance of macrophytes) or estuaries (e.g., limitation of primary production by N instead of P) or may be dependent on river/estuary type. We conclude that river and estuary re-oligotrophication effects are complex, diverse and still little known, and in some cases are equivalent to those described in shallow lakes, but the regime shift is more likely to occur in mid to high-order rivers and shallow estuaries.
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Affiliation(s)
- Carles Ibáñez
- Department of Climate Change, Area of SustainabilityEURECAT, Technological Centre of CataloniaAmpostaSpain
- National Socio‐Environmental Synthesis Center (SESYNC)University of MarylandAnnapolisMarylandUSA
| | - Nuno Caiola
- Department of Climate Change, Area of SustainabilityEURECAT, Technological Centre of CataloniaAmpostaSpain
| | - José Barquín
- IHCantabria, Instituto de Hidráulica AmbientalUniversidad de CantabriaSantanderSpain
| | - Oscar Belmar
- IRTA, Program of Marine & Continental WatersLa RàpitaSpain
| | - Xavier Benito‐Granell
- National Socio‐Environmental Synthesis Center (SESYNC)University of MarylandAnnapolisMarylandUSA
- IRTA, Program of Marine & Continental WatersLa RàpitaSpain
| | - Frederic Casals
- Department of Animal ScienceUniversity of LleidaLleidaSpain
- Landscape Dynamics and Biodiversity ProgramCTFC—Forest Science and Technology Centre of CataloniaSolsonaSpain
| | - Siobhan Fennessy
- National Socio‐Environmental Synthesis Center (SESYNC)University of MarylandAnnapolisMarylandUSA
- Biology DepartmentKenyon CollegeGambierOhioUSA
| | - Jocelyne Hughes
- School of Geography and the EnvironmentUniversity of OxfordOxfordUK
| | - Margaret Palmer
- National Socio‐Environmental Synthesis Center (SESYNC)University of MarylandAnnapolisMarylandUSA
| | - Josep Peñuelas
- Global Ecology Unit, CREAF‐CSIC‐UABUniversitat Autònoma de BarcelonaBellaterraSpain
| | - Estela Romero
- Global Ecology Unit, CREAF‐CSIC‐UABUniversitat Autònoma de BarcelonaBellaterraSpain
| | - Jordi Sardans
- Global Ecology Unit, CREAF‐CSIC‐UABUniversitat Autònoma de BarcelonaBellaterraSpain
| | - Michael Williams
- Chesapeake Biological LaboratoryUniversity of Maryland Center for Environmental ScienceSolomonsMarylandUSA
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3
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Ni FJ, Arhonditsis GB. Examination of the effects of toxicity and nutrition on a two prey-predator system with a metabolomics-inspired model. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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4
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Isanta‐Navarro J, Prater C, Peoples LM, Loladze I, Phan T, Jeyasingh PD, Church MJ, Kuang Y, Elser JJ. Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth. Ecol Lett 2022; 25:2324-2339. [PMID: 36089849 PMCID: PMC9595043 DOI: 10.1111/ele.14096] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/27/2022] [Accepted: 07/31/2022] [Indexed: 01/11/2023]
Abstract
The growth rate hypothesis (GRH) posits that variation in organismal stoichiometry (C:P and N:P ratios) is driven by growth-dependent allocation of P to ribosomal RNA. The GRH has found broad but not uniform support in studies across diverse biota and habitats. We synthesise information on how and why the tripartite growth-RNA-P relationship predicted by the GRH may be uncoupled and outline paths for both theoretical and empirical work needed to broaden the working domain of the GRH. We found strong support for growth to RNA (r2 = 0.59) and RNA-P to P (r2 = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r2 = 0.09). Together, the GRH was supported in ~50% of studies. Mechanisms behind GRH uncoupling were diverse but could generally be attributed to physiological (P accumulation in non-RNA pools, inactive ribosomes, translation elongation rates and protein turnover rates), ecological (limitation by resources other than P), and evolutionary (adaptation to different nutrient supply regimes) causes. These factors should be accounted for in empirical tests of the GRH and formalised mathematically to facilitate a predictive understanding of growth.
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Affiliation(s)
- Jana Isanta‐Navarro
- Flathead Lake Biological StationUniversity of MontanaPolsonMontanaUSA,Department of BiologyLund UniversityLundSweden
| | - Clay Prater
- Department of Integrative BiologyUniversity of OklahomaStillwaterOklahomaUSA
| | - Logan M. Peoples
- Flathead Lake Biological StationUniversity of MontanaPolsonMontanaUSA
| | - Irakli Loladze
- Bryan College of Health Sciences, Lincoln, NE, USA and School of Mathematical & Statistical SciencesArizona State UniversityTempeArizonaUSA
| | - Tin Phan
- Division of Theoretical Biology and BiophysicsLos Alamos National LaboratoryLos AlamosNew MexicoUSA
| | | | - Matthew J. Church
- Flathead Lake Biological StationUniversity of MontanaPolsonMontanaUSA
| | - Yang Kuang
- School of Life SciencesArizona State UniversityTempeArizonaUSA
| | - James J. Elser
- Flathead Lake Biological StationUniversity of MontanaPolsonMontanaUSA
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5
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Lescano MN, Quintero C, Farji‐Brener AG, Balseiro E. Excessive nutrient input induces an ecological cost for aphids by modifying their attractiveness towards mutualist ants. Funct Ecol 2022. [DOI: 10.1111/1365-2435.14163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- M. N. Lescano
- Laboratorio de Investigaciones en Hormigas (LIHO), INIBIOMA (CONICET‐UNComa), Bariloche Argentina
| | - C. Quintero
- Laboratorio Ecotono, INIBIOMA (CONICET‐UNComa), Bariloche Argentina
| | - A. G. Farji‐Brener
- Laboratorio de Investigaciones en Hormigas (LIHO), INIBIOMA (CONICET‐UNComa), Bariloche Argentina
| | - E. Balseiro
- Laboratorio de Limnología, INIBIOMA (CONICET‐UNComa), Bariloche Argentina
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6
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Sentis A, Haegeman B, Montoya JM. Stoichiometric constraints modulate temperature and nutrient effects on biomass distribution and community stability. OIKOS 2022; 2022:oik.08601. [PMID: 36644620 PMCID: PMC7614052 DOI: 10.1111/oik.08601] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Temperature and nutrients are two of the most important drivers of global change. Both can modify the elemental composition (i.e. stoichiometry) of primary producers and consumers. Yet their combined effect on the stoichiometry, dynamics and stability of ecological communities remains largely unexplored. To fill this gap, we extended the Rosenzweig-MacArthur consumer-resource model by including thermal dependencies, nutrient dynamics and stoichiometric constraints on both the primary producer and the consumer. We found that stoichiometric and nutrient conservation constraints dampen the paradox of enrichment and increased persistence at high nutrient levels. Nevertheless, stoichiometric constraints also reduced consumer persistence at extreme temperatures. Finally, we also found that stoichiometric constraints and nutrient dynamics can strongly influence biomass distribution across trophic levels by modulating consumer assimilation efficiency and resource growth rates along the environmental gradients. In the Rosenzweig-MacArthur model, consumer biomass exceeded resource biomass for most parameter values whereas, in the stoichiometric model, consumer biomass was strongly reduced and sometimes lower than resource biomass. Our findings highlight the importance of accounting for stoichiometric constraints as they can mediate the temperature and nutrient impact on the dynamics and functioning of ecological communities.
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Affiliation(s)
- Arnaud Sentis
- Theoretical and Experimental Ecology Station, CNRS Moulis France
- INRAE, Aix Marseille Univ., UMR RECOVER Aix‐en‐Provence France
| | - Bart Haegeman
- Theoretical and Experimental Ecology Station, CNRS Moulis France
| | - José M. Montoya
- Theoretical and Experimental Ecology Station, CNRS Moulis France
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7
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Phan T, He C, Loladze I, Prater C, Elser J, Kuang Y. Dynamics and growth rate implications of ribosomes and mRNAs interaction in E. coli. Heliyon 2022; 8:e09820. [PMID: 35800243 PMCID: PMC9254350 DOI: 10.1016/j.heliyon.2022.e09820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/15/2021] [Accepted: 06/24/2022] [Indexed: 11/30/2022] Open
Abstract
Understanding how cells grow and adapt under various nutrient conditions is pivotal in the study of biological stoichiometry. Recent studies provide empirical evidence that cells use multiple strategies to maintain an optimal protein production rate under different nutrient conditions. Mathematical models can provide a solid theoretical foundation that can explain experimental observations and generate testable hypotheses to further our understanding of the growth process. In this study, we generalize a modeling framework that centers on the translation process and study its asymptotic behaviors to validate algebraic manipulations involving the steady states. Using experimental results on the growth of E. coli under C-, N-, and P-limited environments, we simulate the expected quantitative measurements to show the feasibility of using the model to explain empirical evidence. Our results support the findings that cells employ multiple strategies to maintain a similar protein production rate across different nutrient limitations. Moreover, we find that the previous study underestimates the significance of certain biological rates, such as the binding rate of ribosomes to mRNA and the transition rate between different ribosomal stages. Furthermore, our simulation shows that the strategies used by cells under C- and P-limitations result in a faster overall growth dynamics than under N-limitation. In conclusion, the general modeling framework provides a valuable platform to study cell growth under different nutrient supply conditions, which also allows straightforward extensions to the coupling of transcription, translation, and energetics to deepen our understanding of the growth process.
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Affiliation(s)
- Tin Phan
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
- Division of Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87544, USA
| | - Changhan He
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Irakli Loladze
- Bryan Medical Center, Bryan College of Health Sciences, Lincoln, NE 68506, USA
| | - Clay Prater
- Department of Integrative Biology, Oklahoma State University, Stillwater, OK 74078, USA
| | - Jim Elser
- Flathead Lake Bio Station, University of Montana, Polson, MT 59860, USA
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
- Corresponding author.
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8
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Peace A, Frost PC, Wagner ND, Danger M, Accolla C, Antczak P, Brooks BW, Costello DM, Everett RA, Flores KB, Heggerud CM, Karimi R, Kang Y, Kuang Y, Larson JH, Mathews T, Mayer GD, Murdock JN, Murphy CA, Nisbet RM, Pecquerie L, Pollesch N, Rutter EM, Schulz KL, Scott JT, Stevenson L, Wang H. Stoichiometric Ecotoxicology for a Multisubstance World. Bioscience 2021. [DOI: 10.1093/biosci/biaa160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Abstract
Nutritional and contaminant stressors influence organismal physiology, trophic interactions, community structure, and ecosystem-level processes; however, the interactions between toxicity and elemental imbalance in food resources have been examined in only a few ecotoxicity studies. Integrating well-developed ecological theories that cross all levels of biological organization can enhance our understanding of ecotoxicology. In the present article, we underline the opportunity to couple concepts and approaches used in the theory of ecological stoichiometry (ES) to ask ecotoxicological questions and introduce stoichiometric ecotoxicology, a subfield in ecology that examines how contaminant stress, nutrient supply, and elemental constraints interact throughout all levels of biological organization. This conceptual framework unifying ecotoxicology with ES offers potential for both empirical and theoretical studies to deepen our mechanistic understanding of the adverse outcomes of chemicals across ecological scales and improve the predictive powers of ecotoxicology.
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Affiliation(s)
- Angela Peace
- Department of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States
| | - Paul C Frost
- Department of Biology, Trent University, Peterborough, Ontario, Canada
| | - Nicole D Wagner
- Center for Reservoir and Aquatic Systems Research, Baylor University, Waco, Texas, United States
| | | | - Chiara Accolla
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Twin Cities, Minneapolis, Minnesota, United States
| | | | - Bryan W Brooks
- Department of Environmental Science, Baylor University, Waco, Texas, United States
| | - David M Costello
- Department of Biological Sciences, Kent State University, Kent, Ohio, United States
| | - Rebecca A Everett
- Department of Mathematics and Statistics, Haverford College, Haverford, Pennsylvania, United States
| | - Kevin B Flores
- Department of Mathematics and the Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina, United States
| | - Christopher M Heggerud
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Roxanne Karimi
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York, United States
| | - Yun Kang
- Arizona State University, Mesa, Arizona, United States
| | - Yang Kuang
- Arizona State University, Tempe, Arizona, United States
| | - James H Larson
- US Geological Survey's Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States
| | - Teresa Mathews
- Environmental Sciences Division of Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States
| | - Gregory D Mayer
- Department of Environmental Toxicology, Texas Tech University, Lubbock, Texas, United States
| | - Justin N Murdock
- Department of Biology, Tennessee Tech University, Cookeville, Tennessee, United States
| | - Cheryl A Murphy
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, United States
| | - Roger M Nisbet
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, California, United States
| | - Laure Pecquerie
- Université de Brest, CNRS, IRD, Ifremer, LEMAR, Plouzane, France
| | - Nathan Pollesch
- University of Wisconsin's Aquatic Sciences Center and with the US Environmental Protection Agency's Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, United States
| | - Erica M Rutter
- Department of Applied Mathematics, University of California, Merced, Merced, California, United States
| | - Kimberly L Schulz
- Department of Environmental and Forest Biology, State University of New York's College of Environmental Science and Forestry, Syracuse, New York, United States
| | - J Thad Scott
- Department of Biology, Baylor University, Waco, Texas, United States
| | - Louise Stevenson
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee; with the Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, California; and with the Department of Biological Sciences at Bowling Green State University, in Bowling Green, Ohio, United States
| | - Hao Wang
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada
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9
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Kuang Y, Wang K. Coexistence and extinction in a data-based ratio-dependent model of an insect community. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2020; 17:3274-3293. [PMID: 32987530 DOI: 10.3934/mbe.2020187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
In theory, pure competition often leads to competitive exclusion of species. However, what we often see in nature is a large number of distinct predator or consumer species coexist in a community consisting a smaller number of prey or plant species. In an effort of dissecting how indirect competition and selective predation may have contributed to the coexistence of species in an insect community, according to the replicated cage experiments (two aphid species and a specialist parasitoid that attacks only one of the aphids) and proposed mathematical models, van Veen et. al. [5] conclude that the coexistence of the three species is due to a combination of density-mediated and trait-mediated indirect interactions. In this paper, we formulate an alternative model that observes the conventional law of mass conservation and provides a better fitting to their experimental data sets. Moreover, we present an initial attempt in studying the stabilities of the nonnegative steady states of this model.
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Affiliation(s)
- Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Kaifa Wang
- School of Mathematics and Statistics, Southwest University, Chongqing 400715, P.R. China
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10
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Asik L, Chen M, Peace A. The effects of excess food nutrient content on a tritrophic food chain model in the aquatic ecosystem. J Theor Biol 2020; 491:110183. [PMID: 32044286 DOI: 10.1016/j.jtbi.2020.110183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 01/28/2020] [Accepted: 01/31/2020] [Indexed: 10/25/2022]
Abstract
Ecological stoichiometry is an approach that focuses on the balance of energy and elements in environmental interactions, and it leads to new insights and a better understanding of ecological processes and outcomes. Modeling under this framework enables us to investigate the effects of nutrient content (i.e., food quality) on organisms, whether the imbalance involves insufficient or excess nutrient content. In this paper, we develop and analyze a tritrophic food chain model that captures the phenomenon known as the "stoichiometric knife-edge", where consumer growth is limited under conditions of excess nutrients. The model tracks two essential elements, carbon and phosphorus, in each species. The dynamics of the system such as boundedness and positivity of the solutions, existence and stability conditions of boundary and internal equilibria are analyzed. Through numerical simulations and bifurcation analyses, we observe the dynamics of the system switching between periodic oscillations and chaos. Our findings also show that nutrient-rich food consumption can cause adverse effects on species.
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Affiliation(s)
- Lale Asik
- Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA.
| | - Ming Chen
- School of Science, Dalian Maritime University, Dalian, Liaoning, China
| | - Angela Peace
- Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA
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11
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Seto M, Iwasa Y. The fitness of chemotrophs increases when their catabolic by-products are consumed by other species. Ecol Lett 2019; 22:1994-2005. [PMID: 31612608 PMCID: PMC6899997 DOI: 10.1111/ele.13397] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/05/2019] [Accepted: 09/03/2019] [Indexed: 11/28/2022]
Abstract
Chemotrophic microorganisms synthesise biomass by utilising energy obtained from a set of chemical reactions that convert resources to by-products, forming catabolic interactions. The amount of energy obtained per catabolic reaction decreases with the abundance of the by-product named as the 'abundant resource premium'. Consider two species, Species 1 and 2, Species 1 obtains energy from a reaction that converts resource A to by-product B. Species 2 then utilises B as its resource, extracting energy from a reaction that converts B to C. Thus, the presence of Species 2 reduces the abundance of B, which improves the fitness of Species 1 by increasing the energy acquisition per reaction of A to B. We discuss the population dynamic implication of this effect and its importance in expanding a realised niche, boosting material flow through the ecosystem and providing mutualistic interactions among species linked by the material flow. Introducing thermodynamics into population ecology could offer us fundamental ecological insights into understanding the ecology of chemotrophic microorganisms dominating the subsurface realm.
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Affiliation(s)
- Mayumi Seto
- Department of Chemistry, Biology, and Environmental SciencesNara Women’s UniversityKita‐Uoya NishimachiNara630‐8506Japan
| | - Yoh Iwasa
- Department of Bioscience, School of Science and TechnologyKwansei Gakuin UniversityGakuen 2‐1, Sanda‐shiHyogo669‐1337Japan
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12
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13
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Dynamics of a Producer–Grazer Model Incorporating the Effects of Phosphorus Loading on Grazer’s Growth. Bull Math Biol 2019; 81:1352-1368. [DOI: 10.1007/s11538-018-00567-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 12/29/2018] [Indexed: 10/27/2022]
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14
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Romul_Hum—A model of soil organic matter formation coupling with soil biota activity. II. Parameterisation of the soil food web biota activity. Ecol Modell 2017. [DOI: 10.1016/j.ecolmodel.2016.10.024] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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15
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Romul_Hum model of soil organic matter formation coupled with soil biota activity. I. Problem formulation, model description, and testing. Ecol Modell 2017. [DOI: 10.1016/j.ecolmodel.2016.08.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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16
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Perhar G, Kelly NE, Ni FJ, Simpson MJ, Simpson AJ, Arhonditsis GB. Using Daphnia physiology to drive food web dynamics: A theoretical revisit of Lotka-Volterra models. ECOL INFORM 2016. [DOI: 10.1016/j.ecoinf.2016.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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17
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Hasegawa S, Macdonald CA, Power SA. Elevated carbon dioxide increases soil nitrogen and phosphorus availability in a phosphorus-limited Eucalyptus woodland. GLOBAL CHANGE BIOLOGY 2016; 22:1628-43. [PMID: 26546164 DOI: 10.1111/gcb.13147] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 10/16/2015] [Accepted: 10/27/2015] [Indexed: 05/26/2023]
Abstract
Free-air CO2 enrichment (FACE) experiments have demonstrated increased plant productivity in response to elevated (e)CO2, with the magnitude of responses related to soil nutrient status. Whilst understanding nutrient constraints on productivity responses to eCO2 is crucial for predicting carbon uptake and storage, very little is known about how eCO2 affects nutrient cycling in phosphorus (P)-limited ecosystems. Our study investigates eCO2 effects on soil N and P dynamics at the EucFACE experiment in Western Sydney over an 18-month period. Three ambient and three eCO2 (+150 ppm) FACE rings were installed in a P-limited, mature Cumberland Plain Eucalyptus woodland. Levels of plant accessible nutrients, evaluated using ion exchange resins, were increased under eCO2, compared to ambient, for nitrate (+93%), ammonium (+12%) and phosphate (+54%). There was a strong seasonality to responses, particularly for phosphate, resulting in a relatively greater stimulation in available P, compared to N, under eCO2 in spring and summer. eCO2 was also associated with faster nutrient turnover rates in the first six months of the experiment, with higher N (+175%) and P (+211%) mineralization rates compared to ambient rings, although this difference did not persist. Seasonally dependant effects of eCO2 were seen for concentrations of dissolved organic carbon in soil solution (+31%), and there was also a reduction in bulk soil pH (-0.18 units) observed under eCO2. These results demonstrate that CO2 fertilization increases nutrient availability - particularly for phosphate - in P-limited soils, likely via increased plant belowground investment in labile carbon and associated enhancement of microbial turnover of organic matter and mobilization of chemically bound P. Early evidence suggests that there is the potential for the observed increases in P availability to support increased ecosystem C-accumulation under future predicted CO2 concentrations.
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Affiliation(s)
- Shun Hasegawa
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, SL5 7PY, UK
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Catriona A Macdonald
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Sally A Power
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
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McMeans BC, McCann KS, Tunney TD, Fisk AT, Muir AM, Lester N, Shuter B, Rooney N. The adaptive capacity of lake food webs: from individuals to ecosystems. ECOL MONOGR 2016. [DOI: 10.1890/15-0288.1] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Bailey C. McMeans
- Department of Integrative Biology; University of Guelph; Guelph Ontario N1G 2W1 Canada
| | - Kevin S. McCann
- Department of Integrative Biology; University of Guelph; Guelph Ontario N1G 2W1 Canada
| | - Tyler D. Tunney
- Center for Limnology; University of Wisconsin-Madison; Madison Wisconsin 53706 USA
| | - Aaron T. Fisk
- Great Lakes Institute for Environmental Research; University of Windsor; Windsor Ontario N9B 3P4 Canada
| | - Andrew M. Muir
- Great Lakes Fisheries Commission; Ann Arbor Michigan 48105 USA
| | - Nigel Lester
- Harkness Laboratory of Fisheries Research; Aquatic Research and Monitoring Section; Ontario Ministry of Natural Resources; Peterborough Ontario K9J 7B8 Canada
| | - Brian Shuter
- Harkness Laboratory of Fisheries Research; Aquatic Research and Monitoring Section; Ontario Ministry of Natural Resources; Peterborough Ontario K9J 7B8 Canada
| | - Neil Rooney
- School of Environmental Sciences; University of Guelph; Guelph Ontario N1G 2W1 Canada
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19
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Peace A. Effects of light, nutrients, and food chain length on trophic efficiencies in simple stoichiometric aquatic food chain models. Ecol Modell 2015. [DOI: 10.1016/j.ecolmodel.2015.05.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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20
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Yamamichi M, Meunier CL, Peace A, Prater C, Rúa MA. Rapid evolution of a consumer stoichiometric trait destabilizes consumer-producer dynamics. OIKOS 2015. [DOI: 10.1111/oik.02388] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Masato Yamamichi
- Hakubi Center for Advanced Research/Center for Ecological Research, Kyoto Univ.; JP-606-8501 Kyoto Japan
| | - Cédric L. Meunier
- Dept of Ecology and Environmental Sciences; Umeå Univ.; SE-901 87 Umeå Sweden
| | - Angela Peace
- National Inst. for Mathematical and Biological Synthesis, Univ. of Tennessee; Knoxville TN 37996-3410 USA
| | - Clay Prater
- Environmental and Life Sciences, Trent Univ.; 1600 West Bank Drive Peterborough, ON K9J 7B8 Canada
| | - Megan A. Rúa
- Dept of Biology; Univ. of Mississippi; 214 Shoemaker Hall PO Box 1848, University MS 38677-1848 USA
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21
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Mancinelli G, Mulder C. Detrital Dynamics and Cascading Effects on Supporting Ecosystem Services. ADV ECOL RES 2015. [DOI: 10.1016/bs.aecr.2015.10.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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22
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Benstead JP, Hood JM, Whelan NV, Kendrick MR, Nelson D, Hanninen AF, Demi LM. Coupling of dietary phosphorus and growth across diverse fish taxa: a meta-analysis of experimental aquaculture studies. Ecology 2014. [DOI: 10.1890/13-1859.1] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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23
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Dynamics of a Producer–Grazer Model Incorporating the Effects of Excess Food Nutrient Content on Grazer’s Growth. Bull Math Biol 2014; 76:2175-97. [DOI: 10.1007/s11538-014-0006-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 07/25/2014] [Indexed: 11/26/2022]
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24
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A stoichiometric producer-grazer model incorporating the effects of excess food-nutrient content on consumer dynamics. Math Biosci 2013; 244:107-15. [DOI: 10.1016/j.mbs.2013.04.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2012] [Revised: 04/24/2013] [Accepted: 04/26/2013] [Indexed: 11/30/2022]
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25
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Wilder SM, Norris M, Lee RW, Raubenheimer D, Simpson SJ. Arthropod food webs become increasingly lipid-limited at higher trophic levels. Ecol Lett 2013; 16:895-902. [DOI: 10.1111/ele.12116] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2012] [Revised: 01/30/2012] [Accepted: 03/29/2013] [Indexed: 11/26/2022]
Affiliation(s)
- Shawn M. Wilder
- School of Biological Sciences and the Charles Perkins Centre; University of Sydney; Sydney; NSW; Australia
| | - Michael Norris
- School of Biological Sciences and the Charles Perkins Centre; University of Sydney; Sydney; NSW; Australia
| | - Raymond W. Lee
- School of Biological Sciences; Washington State University; Pullman; WA; USA
| | | | - Stephen J. Simpson
- School of Biological Sciences and the Charles Perkins Centre; University of Sydney; Sydney; NSW; Australia
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26
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From C:P ratios to polar meta-ecosystems. Ecol Modell 2012. [DOI: 10.1016/j.ecolmodel.2012.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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