The Ecology of Mutualism
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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. -
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, -
About the Book the Format Acknowledgments
About the Book For more than ten years I have been working on a book on bryophyte ecology and was joined by Heinjo During, who has been very helpful in critiquing multiple versions of the chapters. But as the book progressed, the field of bryophyte ecology progressed faster. No chapter ever seemed to stay finished, hence the decision to publish online. Furthermore, rather than being a textbook, it is evolving into an encyclopedia that would be at least three volumes. Having reached the age when I could retire whenever I wanted to, I no longer needed be so concerned with the publish or perish paradigm. In keeping with the sharing nature of bryologists, and the need to educate the non-bryologists about the nature and role of bryophytes in the ecosystem, it seemed my personal goals could best be accomplished by publishing online. This has several advantages for me. I can choose the format I want, I can include lots of color images, and I can post chapters or parts of chapters as I complete them and update later if I find it important. Throughout the book I have posed questions. I have even attempt to offer hypotheses for many of these. It is my hope that these questions and hypotheses will inspire students of all ages to attempt to answer these. Some are simple and could even be done by elementary school children. Others are suitable for undergraduate projects. And some will take lifelong work or a large team of researchers around the world. Have fun with them! The Format The decision to publish Bryophyte Ecology as an ebook occurred after I had a publisher, and I am sure I have not thought of all the complexities of publishing as I complete things, rather than in the order of the planned organization. -
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. -
Animal Behaviour Exam Questions
Animal behaviour exam questions: One or more possible options These are the questions that I remember of the 26 asked 1) What is the definition of animal behaviour 2) What sense is not used in communication: a. Mechanical b. Thermal c. Magnetic d. Chemical e. Optical f. Electric 3) What sense use the monotremata that some fish also use? a. Electric b. Magnetic 4) What organ do the snakes use to detect preys? a. Johnston’s organ b. Jaconson’s organ c. Jacobson’s organ 5) How do swarm intelligence transfer information? a. Transfer of information is possible without signalling and when group members do not know which individuals (if any) have information. b. Transfer of information is possible with signalling and when some members have information. 6) What do some vipers, pythons and boas to detect with their pit organ? a. Ultrasound b. Infrared c. Ultraviolet 7) Two animals from the same species are communicating via pheromones. What type of communication is it? a. Signal communication b. Cue communication 8) What are the characteristics of cognition? a. Trial and error learning b. Insight c. Immediate casual inference d. Two stage heuristic strategy e. Operant conditioning f. Pavlovian conditioning 9) What is the name of a communication signal made from different senses? a. Many modal communication b. Monomodal communication c. Multimodal communication 10) What hypothesis describes the co-evolution of a trait preferred by females? a. Fisherian runaway hypothesis b. Sexy son hypothesis c. Good genes theory d. Handicap theory 11) What does parental care have to ensure? a. Activities of an adult to enhance the survivorship of their offspring b. -
Adaptations for Survival: Symbioses, Camouflage
Adaptations for Survival: Symbioses, Camouflage & Mimicry OCN 201 Biology Lecture 11 http://www.oceanfootage.com/stockfootage/Cleaning_Station_Fish/ http://www.berkeley.edu/news/media/releases/2005/03/24_octopus.shtml Symbiosis • Parasitism - negative effect on host • Commensalism - no effect on host • Mutualism - both parties benefit Often involves food but benefits may also include protection from predators, dispersal, or habitat Parasites Leeches (Segmented Worms) Tongue Louse (Crustacean) Nematodes (Roundworms) Whale Barnacles & Lice Commensalism or Parasitism? Commensalism or Mutualism? http://magma.nationalgeographic.com/ http://www.scuba-equipment-usa.com/marine/APR04/ Mutualism Cleaner Shrimp http://magma.nationalgeographic.com/ Anemone Hermit Crab http://www.scuba-equipment-usa.com/marine/APR04/ Camouflage Countershading Sharks Birds Countershading coloration of the Caribbean reef shark © George Ryschkewitsch Fish JONATHAN CHESTER Mammals shiftingbaselines.org/blog/big_tuna.jpg http://www.nmfs.noaa.gov/pr/images/cetaceans/orca_spyhopping-noaa.jpg Adaptive Camouflage Camouflage http://www.cspangler.com/images/photos/aquarium/weedy-sea-dragon2.jpg Camouflage by Mimicry Mimicry • Batesian: an edible species evolves to look similar to an inedible species to avoid predation • Mullerian: two or more inedible species all evolve to look similar maximizing efficiency with which predators learn to avoid them Batesian Mimicry An edible species evolves to resemble an inedible species to avoid predators Pufferfish (poisonous) Filefish (non-poisonous) -
Slime Molds: Biology and Diversity
Glime, J. M. 2019. Slime Molds: Biology and Diversity. Chapt. 3-1. In: Glime, J. M. Bryophyte Ecology. Volume 2. Bryological 3-1-1 Interaction. Ebook sponsored by Michigan Technological University and the International Association of Bryologists. Last updated 18 July 2020 and available at <https://digitalcommons.mtu.edu/bryophyte-ecology/>. CHAPTER 3-1 SLIME MOLDS: BIOLOGY AND DIVERSITY TABLE OF CONTENTS What are Slime Molds? ....................................................................................................................................... 3-1-2 Identification Difficulties ...................................................................................................................................... 3-1- Reproduction and Colonization ........................................................................................................................... 3-1-5 General Life Cycle ....................................................................................................................................... 3-1-6 Seasonal Changes ......................................................................................................................................... 3-1-7 Environmental Stimuli ............................................................................................................................... 3-1-13 Light .................................................................................................................................................... 3-1-13 pH and Volatile Substances -
This Process Wherein 2 Organisms Help One Another Is Often Called Symbiosis Or Mutualism
This process wherein 2 organisms help one another is often called symbiosis or mutualism. The terms are often used interchangeably. Technically, mutualism is an ecological interaction between at least two species (=partners) where both partners benefit from the relationship. Symbiosis on the other hand is defined as an ecological interaction between at least two species (=partners) where there is persistent contact between the partners. Coral is an extremely important habitat. Coral is an animal which has a dinoflagellate living in it called Zooxanthellae You can see where the Zooxanthellae live in the coral and these provide oxygen to the coral which provides protection to the Zooxanthellae If the coral is stressed, the Zooxanthellae leave the coral and the coral becomes “bleached” and may die if the Zooxanthellae do not return. Fish have evolved so that the coral provides them with a kind of “background” against which they become harder for predators to see them WORMS Several different phyla Nematodes, Platyhelminthes, annelids etc) . Some people do eat worms but several kinds are parasitic and there are dangers in doing this. Many marine animals will eat worms. ECHINODERMS Some examples: Star fish, sea cucumbers, crinoids Possible to eat, but not much meat! More likely eaten by other animals. Interesting regenerative powers. ARTHROPODS (joint legged animals) Some examples: Crabs, lobsters and so on. Some are edible. Insects are arthropods and many people in the world eat them. Horseshoe crabs, are here too but are more closely related to the spiders than to the crabs proper. Lobster crab Barnacles Horseshoe crab MOLLUSKS Examples: Clams, mussels , snails Clams and other mollusks are regularly eaten around the world. -
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. -
Microbial Interactions Lecture 2
Environmental Microbiology CLS 416 Lecture 2 Microbial interactions Sarah Alharbi Clinical laboratory department Collage of applied medical sciences King Saud University Outline • Important terms (Symbiosis,ectosymbiont.Endosymbiont, ecto/endosymbiosis • Positive interactions (mutualism, protocooperation, commensalism) • Negative interactions(predation, parasitism, amensalism,and competition) • Nutrient Cycling Interactions • The importance of understanding the principle of microbial interactions (Examples from the literature) Microbial interactions Symbiosis An association of two or more different species Ectosymbisis One organism can be located on the surface of another, as an ectosymbiont. In this case, the ectosymbiont usually is a smaller organism located on the surface of a larger organism. Endosymbiosis one organism can be located within another organism as an endosymbiont Ecto/ endosymbiosis. microorganisms live on both the inside and the outside of another organism - Examples (Ecto/ endosymbiosis) 1- Thiothrix species, a sulfur-using bacterium, which is at- ached to the surface of a mayfly larva and which itself contains a parasitic bacterium. 2- Fungi associated with plant roots (mycorrhizal fungi) often contain endosymbiotic bacteria, as well as having bacteria living on their surfaces • Symbiotic relationships can be intermittent and cyclic or permanent • Symbiotic interactions do not occur independently. Each time a microorganism interacts with other organisms and their environments, a series of feedback responses occurs in the larger biotic community that will impact other parts of ecosystems. Microbial interactions Positive interactions •Mutualism •Protocooperation •Commensalism Negative interactions • Predation • Parasitism • Amensalism • Competition Mutualism Mutualism [Latin mutuus, borrowed or reciprocal] defines the relationship in which some reciprocal benefit accrues to both partners. • Relationship with some degree of obligation • partners cannot live separately • Mutualist and host are dependent on each other 6 Examples of Mutalism 1.