Network analysis for ecologists using R (NTWA03) https://www.prstatistics.com/course/network-analysis-for-ecologists-using-r-ntwa03/
This course will be delivered by Dr Marco Scotti at Myuna Bay Sport and Recreation, Wangi Road, Myuna Bay, New South Wales 2264 Australia, from the 6th - 10th May 2019. Course overview: The first graphical representation of a food web dates back to 1880, with the pioneering works of Lorenzo Camerano. Since then, research on ecological networks has further developed and ecology is one of the fields that contributed the most to the growth of network science. Nowadays, ecologists routinely apply network analysis with a diverse set of objectives that range from studying the stability of ecological communities to quantifying energy flows in ecosystems. The course is intended to provide the participants theoretical knowledge and practical skills for the study of food webs. First, lessons and exercises will introduce basic principles of network theory. Second, ecological examples will be focused on binary food webs, networks depicting who eats whom in ecosystems. Algorithms quantifying either global food web properties or single species features within the trophic network will be introduced. Third, we will study how the architecture of the food webs can be used to investigate robustness to biodiversity loss, thus helping to predict cascading extinction events. Fourth, ecosystem network analysis (ENA), a suite of matrix manipulation routines for the study of energy/matter circulation in ecosystems, will be presented. Then, we will apply the qualitative algorithm of loop analysis to describe how the impacts of perturbations (e.g. overfishing, species invasion and global warming) may propagate through food web structure. Finally, we will learn how to visualize food web graphs to illustrate their features in an intuitive and fancy way. Course programme Day 1 Module 1: Introduction to graph theory and network science. Basic terminology for learning the language of networks: from nodes and links to degree distribution. Three types of mathematical graphs and their properties: random networks, small-world networks, and scale-free networks. Day 2 Module 2: The use of graph theory in ecology: (1) networks representing various interactions in ecological communities (e.g., predator-prey and plant-pollinator networks); (2) networks illustrating interactions at different hierarchical levels (e.g., social networks at the population level and species dispersal in the landscape graph). Who eats whom in ecosystems and at which rate? Binary and weighted food web networks. Quantitative descriptors of food web networks (e.g., fraction of basal, intermediate and top species, connectance and link density). Day 3 Module 3: The structural properties of food web networks. Biodiversity loss and food web network robustness. How to predict secondary extinctions using the information embedded in the network structure of the food webs. The relevance of bipartite networks in ecology for the description of various interaction types (e.g., plant-pollinator and plant-seed disperser relationships). Day 4 Module 4: Ecosystem network analysis (ENA): basic principles and algorithms. Trophic considerations: the effective trophic position of species in acyclic food webs. Finn cycling index and the amount of cycling in ecosystems. Loop analysis: basic principles and its use for modelling signed digraphs. Application of the qualitative algorithm of loop analysis to predict how food web interactions can mediate ecosystem responses to perturbations. Day 5 Module 5: Can network analysis help to better understand possible consequences of global warming on ecological communities? Network visualization with R: how to change the layout of graphs illustrating food web interactions and bipartite networks. Email oliverhoo...@prstatistics.com Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRinformatics.com (Bioinformatics and data science) www.PSstatistics.com (Behaviour and cognition) 1. November 5th – 8th 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/ 2. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 3. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 4. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/ 5. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/ 6. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/ 7. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/ 8. February 4th – 8th 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/ 9. February 11th – 15th 2019 REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/ 10. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 11. March 4th – 8th 2019 BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01) Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 12. March 11th – 15th 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/ 13. March 18th – 22nd 2019 INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe01/ 14. March 25th – 29th 2019 LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/ 15. April 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/ 16. April 1st – 5th 2019 INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01) Glasgow Scotland, Dr Aristides (Aris) Moustakas Link to follow 17. April 8th – 12th 2019 MACHINE LEARNING (MLUR01) Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ 18. May 6th – 10th 2019 NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA03) Myuna Bay, Australia, Dr. Marco Scotti www.prstatistics.com/course/network-analysis-ecologists-ntwa03/ 19. May 16th – 18th 2019 (please note this a 3-day course from Thursday to Saturday) AQUATIC MOVEMENT ECOLOGY USING R (AMER01) Myuna Bay, Australia, Dr. Ross Dwyer, Dr. Vinay Udyawer Link to follow 20. May 16th – 19th 2019 (please note this a 4-day course from Thursday to Monday) INTRODUCTION TO R FOR EVERYONE (IRFE02) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe02/ 21. May 20th – 24th 2019 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03) Myuna Bay, Australia, Prof. David Warton https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/ 22. May 21st – 24th 2019 STATISTICAL TOOL BOX FOR ECOLOGISTS (TKFE01) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-tkfe01/ 23. June 10th – 14th 2019 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04) Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/ 24. June 17th – 21st 2019 INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/ 25. June 24th – 28th 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/ 26. July 1st – 5th 2019 DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 27. September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 28. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Crete, Greece, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 29. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/
