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Dr. Andrew Jackson

Associate Professor (Zoology)

My background is in zoology and ecology although I have always been interested in science more generally. My research interests lie in understanding ecological systems or processes from an evolutionary perspective which I tend to approach using computational / mathematical models. Traditionally, ecology is the study of the interactions between living organisms and their environment. During my Phd I focused on understanding interactions between individual animals living in close proximity which are determined by their behavioural rules. These rules are functions both of an individual's genotype and the local physical/ chemical/ biological environment. I am currently working on a diverse range of systems including vulture foraging, anti-predator behaviour in bird flocks and generating new statistical models for re-constructing food-webs.
  Animal Behaviour   Behavioural and evolutionary ecology   Bioengineering   Biological Modeling   Biomechanics, Biomedical Engineering   Cognitive Development/Processes   Comparative/Animal Psychology   COMPUTER MODELING AND SIMULATION   Computer Modelling   COMPUTER SIMULATION   COMPUTER SIMULATIONS   Developmental biology   Ecological Modelling   Ecology   ECOSYSTEM   ECOSYSTEMS   Evolution   Evolutionary Biology   Mathematical Modelling   Morphology   Population Biology   Theoretical Ecology   THEORY & MODELLING   Zoology
 Linking ecological processes to community patterns using stable isotopes
 How Conflict and Cooperation Shape the Evolution of Social Behaviour: From Individual Interactions to Group Structure
 The evolution and maintenance of cooperative behaviour
 The Ecological Implications of Context Dependent Aggression in Urban Environments
 Individual and Group Aggressive Behaviour in Social Organisms

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Details Date
I sat on the expert panel for ecology and evolution for the Norwegian Institute for Science 2013-2015. This involves reviewing approximately 28 proposals and sitting on a panel discussion to rank them over 3 days in Oslo. I have also reviewed grants for NERC UK, Leverhulme 2013
Details Date From Date To
British Ecology Society member 2006 Present
Irish Ecological Association member 2015 Present
Healy, Kevin, Carbone, Chris, Jackson, Andrew L., Snake venom potency and yield are associated with prey-evolution, predator metabolism and habitat structure, Ecology Letters, 2019, Journal Article, PUBLISHED  DOI
Stock,Brian C, Jackson,Andrew L, Ward,Eric J, Parnell,Andrew C, Phillips,Donald L, Semmens,Brice X, Analyzing mixing systems using a new generation of Bayesian tracer mixing models, PeerJ, 6, 2018, pe5096-, Journal Article, PUBLISHED  DOI  URL
Claudio Quezada-Romegialli, Andrew L. Jackson, Brian Hayden, Kimmo K. Kahilainen, Christelle Lopes, Chris Harrod, Nick Golding, tRophicPosition , an r package for the Bayesian estimation of trophic position from consumer stable isotope ratios, Methods in Ecology and Evolution, 2018, Journal Article, PUBLISHED
Sheppard, C. E., Inger, R., McDonald, R. A., Barker, S., Jackson, A. L., Thompson, F. J., Vitikainen, E. I. K., Cant, M. A., Marshall, H. H., Intragroup competition predicts individual foraging specialisation in a group-living mammal, Ecology Letters, 21, (5), 2018, p665-673 , Journal Article, PUBLISHED
Healy, K., Guillerme, T., Kelly, S. B. A., Inger, R., Bearhop, S., Jackson, A. L., SIDER: an R package for predicting trophic discrimination factors of consumers based on their ecology and phylogenetic relatedness, Ecography, 41, (8), 2018, p1393-1400 , Journal Article, PUBLISHED
Donohue, I., Petchey, O.L., Kéfi, S., Génin, A., Jackson, A.L., Yang, Q. & O'Connor, N.E., Loss of predator species, not intermediate consumers, triggers rapid and dramatic extinction cascades, Global Change Biology, 23, 2017, p2962 - 2972, Journal Article, PUBLISHED  DOI  URL
Adam Kane, Kevin Healy, Thomas Guillerme, Graeme D. Ruxton, Andrew L. Jackson, A recipe for scavenging in vertebrates - the natural history of a behaviour, Ecography, 40, (2), 2017, Journal Article, PUBLISHED
Abaigeal D. Jackson, Andrew L. Jackson, Godfrey Fletcher, Gerardine Doyle, Mary Harrington, Shijun Zhou, Fiona Cullinane, Charles Gallagher, Edward McKone, Estimating Direct Cost of Cystic Fibrosis Care Using Irish Registry Healthcare Resource Utilisation Data, 2008"2012, PharmacoEconomics, 35, (10), 2017, p1087--1101 , Journal Article, PUBLISHED
Kane, Adam, Healy, Kevin, Ruxton, Graeme D., Jackson, Andrew L., Body Size as a Driver of Scavenging in Theropod Dinosaurs, The American Naturalist, 187, (6), 2016, p706-716 , Journal Article, PUBLISHED  DOI
Kane, A., Jackson A.L., Monadjem, A., Colomer, M. A. & Margalida, A., Are vulture restaurants needed to sustain the densest breeding population of the African White-backed Vulture?, Animal Conservation, 12, (3), 2015, p279 - 286, Journal Article, PUBLISHED  DOI

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Jackson, A.L. & Parnell, A.C., 'SIBER', CRAN and GitHub, 2015, -, Notes: [Methodology published in Jackson, A.L., Parnell, A.C., Inger R., & Bearhop, S. 2011. Comparing isotopic niche widths among and within communities: SIBER - Stable Isotope Bayesian Ellipses in R. Journal of Animal Ecology, 80, 595-602 doi], Software, PUBLISHED
Parnell, A.C. & Jackson, A.L., siar: Stable Isotope Analysis in R, 2009, -, Notes: [Although not directly subject to peer-review, the underlying methodology was peer-reviewed in the associated papers: Jackson, A.L., Inger, R., Bearhop, S. & Parnell, A. 2009. Erroneous behaviour of MixSIR, a recently published Bayesian isotope mixing model: a discussion of Moore & Semmens, Ecology Letters, 2008. Ecology Letters, 12, E1-E5. Parnell, A.C., Inger R., Bearhop, S. & Jackson, A.L. 2010. Source partitioning using stable isotopes: coping with too much variation. PLoS ONE, 5(3), e9672. Jackson, A.L., Parnell, A.C., Inger R., & Bearhop, S. 2011. Comparing isotopic niche widths among and within communities: SIBER - Stable Isotope Bayesian Ellipses in R. Journal of Animal Ecology, 80, 595-602. Parnell, A.C., Phillips, D.L., Bearhop, S., Semmens, B.X., Ward, E.J., Moore, J.W., Jackson, A.L. & Inger, R. 2013. Bayesian stable isotope mixing models. Environmetrics, 24(6), 387-399. ], Software, PUBLISHED


Award Date
Fulbright Scholarship June 2017
Research Scholarship (PhD) - University of Glasgow 2002-2005
MacRobertson Travel Scholarship - University of Glasgow / University of Strathclyde Sept 2004
My broad research topic is ecology and evolution, and I consider myself a theoretical ecologist. I am interested in how interactions between individual organisms of the same and different species generate the macroscopic patterns we observe as ecosystems or food-webs. I am particularly interested in how evolution shapes strategies and behaviours of organisms in light of these interactions. To understand how small scale process at the level of individuals manifest as emergent patterns at the macroscopic scale I develop and apply mathematical, computational and statistical methods to study this complexity. I employ empirical experiments or fieldwork to compliment my research, but for the most part I collaborate widely with specialist researchers who have the expertise within their own study systems in order to match the highest quality data and analyses. The current focus of my research is a four-year project funded by the Irish Research Council which aims to develop a new set of quantitative tools that will allow us to maximise our ability to monitor and predict the response of ecosystem food-webs to a world that is changing and ever more managed or impacted by societies. A food-web in some senses is simple: is describes how energy and biomass flows up from primary producers (plants) through to consumers and up to higher level predators. Societies rely on food-webs for food, health and wealth among many other goods and services. My project is developing dynamic mathematical models to generate food-webs of various structure and behaviour, and coupled with models that describe closely how we might monitor these systems in the real world. The aim is to discover new ways to obtain the maximum information on the behaviour of the food-web from the imperfect knowledge we know we obtain from data collection at both the small and big scales of data.