The Ecology of Mutualism
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Dispersal, Philopatry, and the Role of Fissionfusion Dynamics In
MARINE MAMMAL SCIENCE, **(*): ***–*** (*** 2012) C 2012 by the Society for Marine Mammalogy DOI: 10.1111/j.1748-7692.2011.00559.x Dispersal, philopatry, and the role of fission-fusion dynamics in bottlenose dolphins YI-JIUN JEAN TSAI and JANET MANN,1 Reiss Science Building, Rm 406, Department of Biology, Georgetown University, Washington, DC 20057, U.S.A. ABSTRACT In this quantitative study of locational and social dispersal at the individual level, we show that bottlenose dolphins (Tursiops sp.) continued to use their na- tal home ranges well into adulthood. Despite substantial home range overlap, mother–offspring associations decreased after weaning, particularly for sons. These data provide strong evidence for bisexual locational philopatry and mother–son avoidance in bottlenose dolphins. While bisexual locational philopatry offers the benefits of familiar social networks and foraging habitats, the costs of philopatry may be mitigated by reduced mother–offspring association, in which the risk of mother–daughter resource competition and mother–son mating is reduced. Our study highlights the advantages of high fission–fusion dynamics and longitudinal studies, and emphasizes the need for clarity when describing dispersal in this and other species. Key words: bottlenose dolphin, Tursiops sp., association, juvenile, philopatry, locational dispersal, mother-offspring, ranging, site fidelity, social dispersal. Dispersal is a key life history process that affects population demography, spatial distribution, and genetic structure, as well as individual -
The Influence of Density in Population Dynamics with Strong and Weak Allee Effect
Keya et al. J Egypt Math Soc (2021) 29:4 https://doi.org/10.1186/s42787-021-00114-x Journal of the Egyptian Mathematical Society ORIGINAL RESEARCH Open Access The infuence of density in population dynamics with strong and weak Allee efect Kamrun Nahar Keya1, Md. Kamrujjaman2* and Md. Shafqul Islam3 *Correspondence: [email protected] Abstract 2 Department In this paper, we consider a reaction–difusion model in population dynamics and of Mathematics, University of Dhaka, Dhaka 1000, study the impact of diferent types of Allee efects with logistic growth in the hetero- Bangladesh geneous closed region. For strong Allee efects, usually, species unconditionally die out Full list of author information and an extinction-survival situation occurs when the efect is weak according to the is available at the end of the article resource and sparse functions. In particular, we study the impact of the multiplicative Allee efect in classical difusion when the sparsity is either positive or negative. Nega- tive sparsity implies a weak Allee efect, and the population survives in some domain and diverges otherwise. Positive sparsity gives a strong Allee efect, and the popula- tion extinct without any condition. The infuence of Allee efects on the existence and persistence of positive steady states as well as global bifurcation diagrams is presented. The method of sub-super solutions is used for analyzing equations. The stability condi- tions and the region of positive solutions (multiple solutions may exist) are presented. When the difusion is absent, we consider the model with and without harvesting, which are initial value problems (IVPs) and study the local stability analysis and present bifurcation analysis. -
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. -
Comparative Methods Offer Powerful Insights Into Social Evolution in Bees Sarah Kocher, Robert Paxton
Comparative methods offer powerful insights into social evolution in bees Sarah Kocher, Robert Paxton To cite this version: Sarah Kocher, Robert Paxton. Comparative methods offer powerful insights into social evolution in bees. Apidologie, Springer Verlag, 2014, 45 (3), pp.289-305. 10.1007/s13592-014-0268-3. hal- 01234748 HAL Id: hal-01234748 https://hal.archives-ouvertes.fr/hal-01234748 Submitted on 27 Nov 2015 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. Apidologie (2014) 45:289–305 Review article * INRA, DIB and Springer-Verlag France, 2014 DOI: 10.1007/s13592-014-0268-3 Comparative methods offer powerful insights into social evolution in bees 1 2 Sarah D. KOCHER , Robert J. PAXTON 1Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA 2Institute for Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany Received 9 September 2013 – Revised 8 December 2013 – Accepted 2 January 2014 Abstract – Bees are excellent models for studying the evolution of sociality. While most species are solitary, many form social groups. The most complex form of social behavior, eusociality, has arisen independently four times within the bees. -
Interactive Robots in Experimental Biology 3 4 5 6 Jens Krause1,2, Alan F.T
1 2 Interactive Robots in Experimental Biology 3 4 5 6 Jens Krause1,2, Alan F.T. Winfield3 & Jean-Louis Deneubourg4 7 8 9 10 11 12 1Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Biology and 13 Ecology of Fishes, 12587 Berlin, Germany; 14 2Humboldt-University of Berlin, Department for Crop and Animal Sciences, Philippstrasse 15 13, 10115 Berlin, Germany; 16 3Bristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol 17 BS16 1QY, UK; 18 4Unit of Social Ecology, Campus Plaine - CP 231, Université libre de Bruxelles, Bd du 19 Triomphe, B-1050 Brussels - Belgium 20 21 22 23 24 25 26 27 28 Corresponding author: Krause, J. ([email protected]), Leibniz Institute of Freshwater 29 Ecology and Inland Fisheries, Department of the Biology and Ecology of Fishes, 30 Müggelseedamm 310, 12587 Berlin, Germany. 31 32 33 1 33 Interactive robots have the potential to revolutionise the study of social behaviour because 34 they provide a number of methodological advances. In interactions with live animals the 35 behaviour of robots can be standardised, morphology and behaviour can be decoupled (so that 36 different morphologies and behavioural strategies can be combined), behaviour can be 37 manipulated in complex interaction sequences and models of behaviour can be embodied by 38 the robot and thereby be tested. Furthermore, robots can be used as demonstrators in 39 experiments on social learning. The opportunities that robots create for new experimental 40 approaches have far-reaching consequences for research in fields such as mate choice, 41 cooperation, social learning, personality studies and collective behaviour. -
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. -
Malte Andersson 30.10.2019
Social evolution, and levels of selection Malte Andersson 30.10.2019 1 Social evolution, Malte Andersson, 30.10. 2019 Fitness: an individual’s expected genetic contribution to the next generation Direct fitness: numbers of surviving own offspring A behaviour leading to higher fitness is favored by selection and will spread over the generations 2 1 Mobbing a raptor is risky for a crow 3 A honey bee dies after stinging an enemy 4 2 Costly helping: how can it evolve and persist? Does it benefit the donor of help via: 1) direct fitness (individual selection) ? 2) delayed direct fitness, by reciprocity ? 3) donor’s relatives: kin selection ? 4) a larger community: group selection ? These questions are debated. They were first asked by Darwin (1859), about sterile workers in eusocial insects. Some individuals can not reproduce, but offer their lives for the colony (for instance honey bee workers). Can natural selection lead to such behaviour? 5 Altruism (meaning in ecology): Helpful behavior that raises the recipient’s but lowers the donor’s direct fitness 6 3 Alarm signals - selfish or altruistic? Black-throated Shrike-Tanager, Springbok stotting, Kalahari Belize Stotting tells a predator it is detected Warning flock members, also using by a gazelle in good condition. Better the signal for own feeding advantage to hunt another prey (Caro 1986) 7 Is sentinel behavior in meerkats altruistic? Probably not. Sentinels are safer and have a direct benefit from their behavior. (Clutton-Brock et al. 1999) 8 4 0.5 0.4 0.3 Females 0.2 Males 0.1 0 Without close With With offspring genetic relatives nondescendant relatives Black-tailed prairie dogs Individuals give alarm calls mainly with relatives (offspring and others). -
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)