Ecological Dynamics of Mutualist/Antagonist Communities
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Composition of Extrafloral Nectar Influences Interactions Between the Myrmecophyte Humboldtia Brunonis and Its Ant Associates
J Chem Ecol (2012) 38:88–99 DOI 10.1007/s10886-011-0052-z Composition of Extrafloral Nectar Influences Interactions between the Myrmecophyte Humboldtia brunonis and its Ant Associates Megha Shenoy & Venkatesan Radhika & Suma Satish & Renee M. Borges Received: 30 August 2010 /Revised: 23 November 2011 /Accepted: 11 December 2011 /Published online: 11 January 2012 # Springer Science+Business Media, LLC 2012 Abstract Ant–plant interactions often are mediated by higher sucrose concentrations and certain essential/non-essential extrafloral nectar (EFN) composition that may influence plant amino acid mixtures. The mutualistic Technomyrmex visitation by ants. Over a 300 km range in the Indian Western albipes (southern study site) preferred sucrose over glucose Ghats, we investigated the correlation between the EFN com- or fructose solutions and consumed the leaf EFN mimic to a position of the myrmecophytic ant-plant Humboldtia brunonis greater extent than the floral bud EFN mimic. This young leaf (Fabaceae) and the number and species of ants visiting EFN. EFN mimic had low sugar concentrations, the lowest viscosity EFN composition varied among H. brunonis populations and and sugar:amino acid ratio, was rich in essential amino acids, between plant organs (floral bud vs. young leaf EFN). In and appeared ideally suited to the digestive physiology of T. general, EFN was rich in sugars with small quantities albipes. This preference for young leaf EFN may explain the of amino acids, especially essential amino acids, and had greater protection afforded to young leaves than to floral buds moderate invertase activity. In experiments at the study sites by T. albipes, and may also help to resolve ant–pollinator with sugar and amino acid solutions and with leaf or conflicts. -
Maximum Sustainable Yield from Interacting Fish Stocks in an Uncertain World: Two Policy Choices and Underlying Trade-Offs Arxiv
Maximum sustainable yield from interacting fish stocks in an uncertain world: two policy choices and underlying trade-offs Adrian Farcas Centre for Environment, Fisheries & Aquaculture Science Pakefield Road, Lowestoft NR33 0HT, United Kingdom [email protected] Axel G. Rossberg∗ Queen Mary University of London, School of Biological and Chemical Sciences, 327 Mile End Rd, London E1, United Kingdom and Centre for Environment, Fisheries & Aquaculture Science Pakefield Road, Lowestoft NR33 0HT, United Kingdom [email protected] 26 May 2016 c Crown copyright Abstract The case of fisheries management illustrates how the inherent structural instability of ecosystems can have deep-running policy implications. We contrast ten types of management plans to achieve maximum sustainable yields (MSY) from multiple stocks and compare their effectiveness based on a management strategy evalua- tion (MSE) that uses complex food webs in its operating model. Plans that target specific stock sizes (BMSY) consistently led to higher yields than plans targeting spe- cific fishing pressures (FMSY). A new self-optimising control rule, introduced here arXiv:1412.0199v6 [q-bio.PE] 31 May 2016 for its robustness to structural instability, led to intermediate yields. Most plans outperformed single-species management plans with pressure targets set without considering multispecies interactions. However, more refined plans to \maximise the yield from each stock separately", in the sense of a Nash equilibrium, produced total yields comparable to plans aiming to maximise total harvested biomass, and were more robust to structural instability. Our analyses highlight trade-offs between yields, amenability to negotiations, pressures on biodiversity, and continuity with current approaches in the European context. -
Synthetic Mutualism and the Intervention Dilemma
life Review Synthetic Mutualism and the Intervention Dilemma Jai A. Denton 1,† ID and Chaitanya S. Gokhale 2,*,† ID 1 Genomics and Regulatory Systems Unit, Okinawa Institute of Science and Technology, Onna-son 904-0412, Japan; [email protected] 2 Research Group for Theoretical models of Eco-Evolutionary Dynamics, Max Planck Institute for Evolutionary Biology, 24304 Plön, Germany * Correspondence: [email protected]; Tel.: +49-45-2276-3574 † These authors contributed equally to this work. Received: 30 October 2018; Accepted: 23 January 2019; Published: 28 January 2019 Abstract: Ecosystems are complex networks of interacting individuals co-evolving with their environment. As such, changes to an interaction can influence the whole ecosystem. However, to predict the outcome of these changes, considerable understanding of processes driving the system is required. Synthetic biology provides powerful tools to aid this understanding, but these developments also allow us to change specific interactions. Of particular interest is the ecological importance of mutualism, a subset of cooperative interactions. Mutualism occurs when individuals of different species provide a reciprocal fitness benefit. We review available experimental techniques of synthetic biology focused on engineered synthetic mutualistic systems. Components of these systems have defined interactions that can be altered to model naturally occurring relationships. Integrations between experimental systems and theoretical models, each informing the use or development of the other, allow predictions to be made about the nature of complex relationships. The predictions range from stability of microbial communities in extreme environments to the collapse of ecosystems due to dangerous levels of human intervention. With such caveats, we evaluate the promise of synthetic biology from the perspective of ethics and laws regarding biological alterations, whether on Earth or beyond. -
Predation Success by a Plant-Ant Indirectly
Predation success by a plant-ant indirectly favours the growth and fitness of its host myrmecophyte Alain Dejean, Jérôme Orivel, Vivien Rossi, Olivier Roux, Jérémie Lauth, Pierre-Jean G. Malé, Régis Céréghino, Céline Leroy To cite this version: Alain Dejean, Jérôme Orivel, Vivien Rossi, Olivier Roux, Jérémie Lauth, et al.. Predation success by a plant-ant indirectly favours the growth and fitness of its host myrmecophyte. PLoS ONE, Public Library of Science, 2013, vol. 8 (3), pp. 1-6. 10.1371/journal.pone.0059405. hal-00913754 HAL Id: hal-00913754 https://hal.archives-ouvertes.fr/hal-00913754 Submitted on 4 Dec 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Open Archive TOULOUSE Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 10202 To link to this article : DOI:10.1371/journal.pone.0059405 URL : http://dx.doi.org/10.1371/journal.pone.0059405 To cite this version : Dejean, Alain and Orivel, Jérôme and Rossi, Vivien and Roux, Olivier and Lauth, Jérémie and Malé, Pierre-Jean G. -
Macaranga-Ant Plants Optimize Investment in Biotic Defence
Journal of Experimental Botany, Vol. 52, No. 363, Plants under Stress Special Issue, pp. 2057–2065, October 2001 Adaptations to biotic and abiotic stress: Macaranga-ant plants optimize investment in biotic defence K. Eduard Linsenmair1,5, Martin Heil1,4, Werner M. Kaiser2, Brigitte Fiala1, Thomas Koch3 and Wilhelm Boland3 1 Lehrstuhl fu¨ r Tiero¨ kologie und Tropenbiologie (Zoologie III), Theodor-Boveri-Institut, Biozentrum, Am Hubland, D-97074 Wu¨ rzburg, Germany 2 Lehrstuhl fu¨ r Molekulare Pflanzenphysiologie und Biophysik (Botanik I), Julius-von-Sachs-Institut, Julius-von-Sachs-Platz 2, D-97082 Wu¨ rzburg, Germany 3 Max-Planck-Institut fu¨ r chemische O¨ kologie, Carl Zeiss-Promenade 10, D-07745 Jena, Germany Received 12 February 2001; Accepted 21 June 2001 Abstract incurred when counterbalanced by defensive effects of mutualistic insects. Obligate ant plants (myrmecophytes) in the genus Macaranga produce energy- and nutrient-rich food Key words: Ant plant, anti-herbivore defence, mutualism, bodies (FBs) to nourish mutualistic ants which live myrmecophyte, tropics. inside the plants. These defend their host against biotic stress caused by herbivores and pathogens. Facultative, ‘myrmecophilic’ interactions are based on the provision of FBs anduor extrafloral nectar Introduction (EFN) to defending insects that are attracted from the vicinity. FB production by the myrmecophyte, Many tropical plants of different taxonomic groups M. triloba, was limited by soil nutrient content under have evolved mutualisms with ants (Beattie, 1985; field conditions and was regulated according to the Buckley, 1982; Ho¨lldobler and Wilson, 1990; McKey presence or absence of an ant colony. However, and Davidson, 1993). In most cases, ants are used as an increased FB production promoted growth of the indirect (Price et al., 1980), ‘biotic’ defence mechanism. -
Introduction to Theoretical Ecology
Introduction to Theoretical Ecology Natal, 2011 Objectives After this week: The student understands the concept of a biological system in equilibrium and knows that equilibria can be stable or unstable. The student understands the basics of how coupled differential equations can be analyzed graphically, including phase plane analysis and nullclines. The student can analyze the stability of the equilibria of a one-dimensional differential equation model graphically. The student has a basic understanding of what a bifurcation point is. The student can relate alternative stable states to a 1D bifurcation plot (e.g. catastrophe fold). Study material / for further study: This text Scheffer, M. 2009. Critical Transitions in Nature and Society, Princeton University Press, Princeton and Oxford. Scheffer, M. 1998. Ecology of Shallow Lakes. 1 edition. Chapman and Hall, London. Edelstein-Keshet, L. 1988. Mathematical models in biology. 1 edition. McGraw-Hill, Inc., New York. Tentative programme (maybe too tight for the exercises) Monday 9:00-10:30 Introduction Modelling + introduction Forrester diagram + 1D models (stability graphs) 10:30-13:00 GRIND Practical CO2 chamber - Ethiopian Wolf Tuesday 9:00-10:00 Introduction bifurcation (Allee effect) and Phase plane analysis (Lotka-Volterra competition) 10:00-13:00 GRIND Practical Lotka-Volterra competition + Sahara Wednesday 9:00-13:00 GRIND Practical – Sahara (continued) and Algae-zooplankton Thursday 9:00-13:00 GRIND practical – Algae zooplankton spatial heterogeneity Friday 9:00-12:00 GRIND practical- Algae zooplankton fish 12:00-13:00 Practical summary/explanation of results - Wrap up 1 An introduction to models What is a model? The word 'model' is used widely in every-day language. -
Meta-Ecosystems: a Theoretical Framework for a Spatial Ecosystem Ecology
Ecology Letters, (2003) 6: 673–679 doi: 10.1046/j.1461-0248.2003.00483.x IDEAS AND PERSPECTIVES Meta-ecosystems: a theoretical framework for a spatial ecosystem ecology Abstract Michel Loreau1*, Nicolas This contribution proposes the meta-ecosystem concept as a natural extension of the Mouquet2,4 and Robert D. Holt3 metapopulation and metacommunity concepts. A meta-ecosystem is defined as a set of 1Laboratoire d’Ecologie, UMR ecosystems connected by spatial flows of energy, materials and organisms across 7625, Ecole Normale Supe´rieure, ecosystem boundaries. This concept provides a powerful theoretical tool to understand 46 rue d’Ulm, F–75230 Paris the emergent properties that arise from spatial coupling of local ecosystems, such as Cedex 05, France global source–sink constraints, diversity–productivity patterns, stabilization of ecosystem 2Department of Biological processes and indirect interactions at landscape or regional scales. The meta-ecosystem Science and School of perspective thereby has the potential to integrate the perspectives of community and Computational Science and Information Technology, Florida landscape ecology, to provide novel fundamental insights into the dynamics and State University, Tallahassee, FL functioning of ecosystems from local to global scales, and to increase our ability to 32306-1100, USA predict the consequences of land-use changes on biodiversity and the provision of 3Department of Zoology, ecosystem services to human societies. University of Florida, 111 Bartram Hall, Gainesville, FL Keywords 32611-8525, -
Diversity of Ant-Plant Interactions: Protective Efficacy in Macaranga Species with Different De,Grees of Ant Association
Oecologia (1994) 97: 186-192 ("' Springer-Verlag 1994 Brigitte Fiala " Harald Grunsky . Ulrich Maschwitz K. Eduard Linsenmair Diversity of ant-plant interactions: protective efficacy in Macaranga species with different de,grees of ant association Received: 9 June 1993/ Accepted: 20 November 1993 Abstract The pioneer tree Macaranga in SE Asia has dence for any specific relationships. The results of this developed manyfold associations with ants. The genus study strongly support the hypothesis that non-specific, comprises all stages of interaction with ants, from facul facultative associations with ants can be advantageous tative relationships to obligate myrmecophytes. Only for Macaranga plants. Food bodies appear to have low myrmecophytic Macaranga offer nesting space for ants er attractive value for opportunistic ants than EFN and and are associated with a specific ant partner. The non may require a specific dietary adaptation. This is also myrmecophytic species are visited by a variety of differ indicated by the fact that food body production in the ent ant species which are attracted by extrafloral nec transitional M. hosei does not start before stem struc taries (EFN) and food bodies. Transitional Macaranga ture allows a colonization by the obligate Cremato species like M. hosei are colonized later in their develop gaster species. M. hosei thus benefits from facultative ment due to their stem structure. Before the coloniza association with a variety of ants until it produces its tion by their specific Crematogaster partner the young first domatia and can be colonized by its obligate mutu plants are visited by different ant species attracted by alist. EFN. These nectaries are reduced and food body pro duction starts as soon as colonization becomes possible. -
Theoretical Ecology Syllabus 2018 Revised
WILD 595 Fall 2018 Syllabus Theoretical Ecology – WILD 595 Fall Semester 2018 Instructor: Dr. Angie Luis ([email protected]) Suggested Readings An Illustrated Guide to Theoretical Ecology, Ted Case A Primer of Ecology, Nicholas Gotelli Additional readings will be assigned Tentative Class meeting times: Lecture/ Lab MW 8:30-9:50 Clapp 452 Discussion R 3:00-3:50 Clapp 452 Office Hours Mondays & Wednesdays 1-1:50 or by appointment, FOR 207A Overview This class is meant to provide a general toolbox of ecological modeling approaches. It will be more about how to model than about models themselves, but in illustration we will cover a variety of commonly used ecological and evolutionary models, ranging from behavior of individuals (optimality, game theory) to populations (structured and unstructured, logistic growth, matrix models) to communities (competition, predation, parasitism). The focus will be on formalizing conceptual ideas into a mathematical framework, and will not deal heavily with data. (Of course, data is important, but other courses here concentrate on data and model fitting.) This course will give you the skills to help comprehend theoretical papers and to create your own models. The course is a mix of lecture, lab (in R), case studies, and discussion. There will be a fairly high work load (hence 4 credits), with 2 lab assignments due most weeks, weekly readings, and will culminate with a project in which you will design a model for some aspect of your study system. The intention is for the project to be a chapter of your thesis/dissertation or a side-project that could be published. -
The Ecology of Mutualism
Annual Reviews www.annualreviews.org/aronline AngRev. Ecol. Syst. 1982.13:315--47 Copyright©1982 by Annual Reviews lnc. All rightsreserved THE ECOLOGY OF MUTUALISM Douglas 1t. Boucher Departementdes sciences biologiques, Universit~ du Quebec~ Montreal, C. P. 8888, Suet. A, Montreal, Quebec, CanadaH3C 3P8 Sam James Departmentof Ecologyand Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA48109 Kathleen H. Keeler School of Life Sciences, University of Nebraska,Lincoln, Nebraska,USA 68588 INTRODUCTION Elementaryecology texts tell us that organismsinteract in three fundamen- tal ways, generally given the namescompetition, predation, and mutualism. The third memberhas gotten short shrift (264), and even its nameis not generally agreed on. Terms that may be considered synonyms,in whole or part, are symbiosis, commensalism,cooperation, protocooperation, mutual aid, facilitation, reciprocal altruism, and entraide. Weuse the term mutual- by University of Kanas-Lawrence & Edwards on 09/26/05. For personal use only. ism, defined as "an interaction betweenspecies that is beneficial to both," Annu. Rev. Ecol. Syst. 1982.13:315-347. Downloaded from arjournals.annualreviews.org since it has both historical priority (311) and general currency. Symbiosis is "the living together of two organismsin close association," and modifiers are used to specify dependenceon the interaction (facultative or obligate) and the range of species that can take part (oligophilic or polyphilic). We make the normal apologies concerning forcing continuous variation and diverse interactions into simple dichotomousclassifications, for these and all subsequentdefinitions. Thus mutualism can be defined, in brief, as a -b/q- interaction, while competition, predation, and eommensalismare respectively -/-, -/q-, and -t-/0. There remains, however,the question of howto define "benefit to the 315 0066-4162/82/1120-0315 $02.00 Annual Reviews www.annualreviews.org/aronline 316 BOUCHER, JAMES & KEELER species" without evoking group selection. -
Botany Plant Interactions with Insects, Nematodes, Symbionts and Other
References 1. Bronstein JL, 1994. Our current understanding of mutualism. Quarterly Review of Biology 69: 31–51. 2. Bronstein JL, Alarcón R, Geber M, 2006. The evolution of plant–insect mutualisms. New Phytologist 172: 412–428. 3. Crepet WL, 2008. The fossil record of angiosperms: requiem or renaissance? Annals of the Missouri Botanical Garden 95: 3–33. 4. Darwin CD, 1859. On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. London: John Murray. 5. Davidson DW, 1997. The role of resource imbalances in the evolutionary ecology of tropical arboreal ants. Biological Journal of the Linnean Society 61: 153–181. 6. Ehrlich PR, Raven PH, 1964. Butterflies and plants: a study in coevolution. Evolution 18: 586–608. 7. Hu S, Dilcher DL, Jarzen DM, Taylor DW, 2008. Early steps of angiosperm-pollinator coevolution. The Proceedings of the National Academy of Sciences of the United States of America 105: 240–245. 8. Labandeira CC, 1998. Early history of arthropod and vascular plant associations. Annual Review of Earth and Planetary Sciences 26: 329–377. 9. Landry C, 2012. Mighty mutualisms: The nature of plant-pollinator interactions. Nature Education Knowledge 3: 37. 10. Mithofer A, Boland W, 2012. Plant defense against herbivores: Chemical aspects. Annual Reviews of Plant Biology 63: 431–50. 11. Stone GN, van der Ham RWJM, Brewer JG, 2008. Fossil oak galls preserve ancient multitrophic interactions. Proceedings of the Royal Society B 275: 2213–2219. 12. Van der Heijden MGA, Horton TR, 2009. Socialism in soil? The importance of mycorrhizal fungal networks for facilitation in natural ecosystems. -
A Pragmatic Approach to Evaluating Models in Theoretical Ecology
Biology and Philosophy (2005) 20:231–255 Ó Springer 2005 DOI 10.1007/s10539-004-0478-6 Idealized, inaccurate but successful: A pragmatic approach to evaluating models in theoretical ecology JAY ODENBAUGH Department of Philosophy, Lewis and Clark College, Portland, Oregon 97219 (e-mail: jay@lclark. edu) Received 15 October 2003; accepted in revised form 21 May 2004 Key words: Accuracy, Ecology, Heuristic, Idealization, Mathematics, Model, Pragmatism, Prediction, Theory Abstract. Ecologists attempt to understand the diversity of life with mathematical models. Often, mathematical models contain simplifying idealizations designed to cope with the blooming, buzzing confusion of the natural world. This strategy frequently issues in models whose predictions are inaccurate. Critics of theoretical ecology argue that only predictively accurate models are successful and contribute to the applied work of conservation biologists. Hence, they think that much of the mathematical work of ecologists is poor science. Against this view, I argue that model building is successful even when models are predictively inaccurate for at least three reasons: models allow scientists to explore the possible behaviors of ecological systems; models give scientists simplified means by which they can investigate more complex systems by determining how the more complex system deviates from the simpler model; and models give scientists conceptual frameworks through which they can conduct experiments and fieldwork. Critics often mistake the purposes of model building, and once we recognize this, we can see their complaints are unjustified. Even though models in ecology are not always accurate in their assumptions and predictions, they still contribute to successful science. Introduction In this essay, I explore how simple models in theoretical ecology can be used to investigate and learn about complex populations, communities, and ecosys- tems.