FINAL CALL FOR "Network analysis for ecologists using R (NTWA02)"

Please use the link below to access the course details.

http://bit.ly/2tFjRwANetwork_Analysis

This course is being delivered in Glasgow City Centre from 9th - 13th April 
2018 and is being delivered by Dr. Marco Scotti

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. 

Monday 9th – Classes from 09:00 to 17:00 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. 

Tuesday 10th – Classes from 09:00 to 17:00 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). 

Wednesday 11th – Classes from 09:00 to 17:00 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). 

Thursday 12th – Classes from 09:00 to 17:00 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. 

Friday 13th – Classes from 09:00 to 16:00 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...@statistics.com with any questions. 

Check our sister sites 
www.PRstatistics.com (ecology and life sciences) 
www.PRinformatics.com (bioinformatics and data science) 
www.PSstatistics.com (behaviour and cognition) 

email oliverhoo...@prstatistics.com

Upcoming courses below1.
February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
www.prstatistics.com/course/movement-ecology-move01/

2.      February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
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3.      March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
www.prstatistics.com/course/introduction-to-marxan-mrxn01/

4.      March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

5.      March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/
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6.      April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

7.      April 16th – 20th 2018
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-ipsy01/

8.      April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet             
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

9.      April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/
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10.     May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
11.     May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

12.     May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

13.     May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

14.     May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

15.     May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/
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16.     June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

17.     June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

18.     June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/
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19.     July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

20.     July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

21.     July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22.     July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

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