Staff Profile
Dr Isabel Smallegange
Senior Lecturer in Population Biology
- Personal Website: www.isabelsmallegange.com
- Address: School of Natural & Environmental Sciences
Newcastle University
Newcastle upon Tyne
NE1 7RU
UK
Office: 5.61 Ridley 2
Background
Background
I am a senior lecturer in population biology at the University of Newcastle, School of Natural and Environmental Sciences, Group Lead of the Modelling, Evidence and Policy group, and Director of ED&I for the School of Natural and Environmental Sciences.
My research interests comprise a range of topics that include evolutionary behavioural ecology, eco-evolutionary dynamics, life history theory, energy budget theory, demography and the conservation of marine coastal species. My research aims at mechanistically linking ecology, evolution and development to explain why animals express which phenotypes under what conditions. I test predictions from the theories I develop on terrestrial and marine coldblooded animals (bulb mites, manta rays, reef sharks, skates). I also develop demographic models to predict how animal populations are impacted by harvesting, fishing and environmental change. I have blog posts on some of my research results. I also blog about other aspects on life in academia.
Recent publications (see also Publication List)
Smallegange IM, Lucas S. 2024. DEBBIES Dataset to study Life Histories across Ectotherms. Scientific Data 11: 153.
See the Press Release and the blog post at Springer Nature Research Communities and at the From Newcastle University blog
Rademaker M, van Leeuwen A, Smallegange IM. online. Why we cannot always expect life history strategies to directly inform on sensitivity to environmental change. Journal of Animal Ecology http://doi.org/10.1111/1365-2656.14050
See the blog post at Animal Ecology in Focus, and the Research Highlight in Journal of Animal Ecology by Touzot & Paniw (2024).
Prospective students
Please check out the teaching tab for student projects on life history strategies and population responses to environmental change using the DEBBIES dataset, which is described in this manuscript. On the teaching tab, there is also a list of previous under- and postgraduate research projects.
Postdoc opportunities
I’m very happy to support applications for research fellowships, for example Royal Society Newton International Fellowships, Marie Skłodowska-Curie Research Fellowships, Royal Commission for the Exhibition of 1851 Research Fellowships, FCT Post-doctoral Fellowships, etc. I’ve had success in obtaining research fellowships for myself throughout my career so do get in touch if you are interested in bringing a fellowship into my research group.
Current PhD students
- Lukas Edwards (Newcastle University) (I am the main supervisor): The eco-evolutionary dynamics of how life histories structure population responses to change through evolving developmental systems.
- Sol Lucas (Newcastle University) (with Per Berggren; I am co-supervisor): Assessing the population dynamics and conservation of sharks in the UK.
- Melissa Versteeg (Newcastle University (with Theresa Rueger; I am co-supervisor): Understanding the long-term effects of abiotic and biotic stressors on the social dynamics and reproduction of anemonefishes.
- Chi-Yen Hsieh (Newcastle University) (with Gary Caldwell; I am co-supervisor): Investigating the effects of malachite green and its metabolites on the microbiome of a marine polychaete worm, Hediste diversicolor.
Completed PhDs
- Mark Rademaker (2024, NIOZ, Netherlands) (with Anieke van Leeuwen; I was co-supervisor): From pattern to process in modelling the spatiotemporal dynamics of marine communities
- Marjolein Toorians (2024, UBC, Canada) (with Jonathan Davies; I was co-supervisor): The effect of biodiversity on disease transmission and reservoir-dynamics
- Kim Eustache (2023, University of Perpignan / University of Amsterdam) (with Serge Planes; I was co-supervisor): Unravelling the genetic and environmental influences on blacktip reef shark (Carcharhinus melanopterus) reproductive success
- Naomi Zweerus (2022, University of Amsterdam) (with Astrid Groot; I was co-supervisor): Sexual communication in moths
- Flor Rhebergen (2022, University of Amsterdam): The ecology of adaptive condition-dependent polyphenism
- Tom van den Beuken (2019, University of Amsterdam): How male dimorphisms can be maintained in single populations - a minor's guide to reproduction
- Jacques Deere (2015, Oxford University): Alternative reproductive phenotypes and the role of dispersal in population dynamics; using Rhizoglyphus robini as a model species
Former postdocs
Kathryn Stewart (2017 - 2021) - now Assistant Professor at Leiden University
Jacques Deere (2015 - 2018) - now postdoc at the University of Amsterdam
Research
My full CV with Publication List can be found here. My full list of publications can also be found on Google Scholar.
Qualifications
2022 Senior Fellowship of the Higher Education Academy (UK)
2014 University Teaching Qualification for Lecturers (BKO)
5 Sep 2007 PhD, ‘Interference competition and patch choice in foraging shore crabs’
Netherlands Inst. for Sea Research & University of Amsterdam
2000 BSc, MSc Population Biology, Wageningen University, The Netherlands
Professional history
2022 – present Senior Lecturer, SNES, Newcastle University, UK
2024 – present Director of ED&I, SNES, Newcastle University, UK
2023 – present Group Lead, Modelling, Evidence and Policy group, Newcastle University, UK
2022 – present Co-Director Centre for Behaviour and Evolution, Newcastle University, UK
2019 – present Visiting scholar, Neth. Inst. for Sea Research (NIOZ), NL
2018 – 2022 Associate Professor, Faculty of Science, University of Amsterdam
2013 – 2018 MacGillavry Fellowship, Faculty of Science, University of Amsterdam
2012 – 2013 Research Fellow at University of Oxford (Dept. of Zoology)
2010 – 2012 Research Fellow at Imperial College London (Silwood Park)
2008 – 2010 Rubicon Fellowship (NWO)– held at Imperial College London
2007 – 2008 A. v Humboldt Fellowship – Max Planck Inst. for Ornithology
2005 Marie Curie Research Trainee Fellowship – University of Exeter
Maternity leave Dec 2012 – June 2013
Evidence of international reputation for research
- 2.8M£ (personal) grant money awarded
- >30 invited talks since obtaining my PhD in 2007
- Associate Editor (4 journals; 1 Peer Community): Functional Ecology (since 2018), Oikos (since 2013), Entomologia Experimentalis et Applicata (since 2019), Journal of Animal Ecology (2011-2014); Recommender for PCI Ecology (since 2019)
- Grant reviewer for Austrian Science Fund, Earthwatch, ERC H2020, NERC, ESF-FWO, Norway Research Council, NSF, NWO, Swiss National Science Foundation, The Royal Society
- Manuscript reviewer for >40 journals, including Nature, Nature Ecol & Evol, Scientific Reports
- Invited member of the European Science Foundation College of Expert Reviewers
Research interests
Research conducted within the team ties three research themes:
Eco-evolutionary dynamics, functional trait demography, and developmental plasticity
Climate variability is increasing. How will this affect different animal species? We are in great need of an integrative framework that allows ecologists to predict life history strategies (i.e. the different ways in which individuals trade-off resource investment into survival or reproduction) from functional traits: traits of individuals that inform on the performance of an animal population as a whole. Such a framework is important to inform conservation strategies. Our research takes the mechanistic underpinnings of biological variation as a starting point to extrapolate from life history strategies the responses of populations to future environmental changes. We test this framework mainly on estuarine and marine animals (tube-building worms, ray-finned fish, manta rays and sharks). Our analyses are also part of the DEBBIES project (see Teaching Tab) where we link functional life history traits to population response to environmental change.
For this framework, it is necessary to include eco-evolutionary dynamics, which comprises the understanding of how evolutionary changes (like shifts in genotype and phenotype frequencies) and ecological changes (like the size, composition and growth of an animal population) affect each other. Why? Because for a long time, ecologists ignored evolutionary processes as they were assumed to occur at much longer time scales (thousands to millions of years) compared to ecological processes (days to years). Vice versa, evolutionary biologists ignored ecological processes as these were assumed to occur at such short time scales that their effects would be unnoticeable at the long, evolutionary timescales. However, over the past decades, notions have changed and we now want to understand how ecological and evolutionary variables are both the drivers and the objects of change. Our research aims at formulating and testing predictions on eco-evolutionary population responses to environmental change using long-term population experiments with bulb mites in the lab, and using demographic models parameterised for estuarine and coastal marine species and demographic models. Especially in human-dominated coastal marine environments, we lack understanding of how human activities can impose selection on life history traits like age and size at maturity, and how this affects population dynamics. See for example this special issue on "Eco-Evolutionary Dynamics of Marine Biodiversity in Human-Dominated Coastalscapes", to which the lab contributed.
Finally, the eco-evolutionary process can be significantly influenced by developmental plasticity. Developmental plasticity, whereby a specific input during an individual’s development produces a lasting alteration in phenotype, has been well-documented in human and non-human animals. It is studied by both evolutionary biologists and researchers studying human health. Importantly, developmental plasticity can alter the direction of evolutionary change to the extent that phenotypic variation derived from development becomes encoded in the genome. We aim to unravel the mechanisms and drivers of developmental plasticity using the two male morphs of the bulb mite (Rhizoglyphus robini). Insights gained will increase our understanding of how functional traits affect the eco-evolutionary dynamics of populations, ultimately contributing to a general framework that can be used to accurately predict how populations respond to environmental change, informing conservation strategies. Some first ideas can be found in my recent paper in Trends in Ecology and Evolution.
Other projects the team is involved in
DISCAR: The DISCAR (DIS = disturbance, CAR = carnivores) project aims at providing an operational framework with analytical tools for assessing the impacts of human pressures on populations of small carnivores, and showcasing it with case studies in applied conservation. DISCAR will use small carnivores in French mainland and overseas territories as a case study to assess the population consequences or impacts of human pressures on animal populations.
Teaching
Modules taught in at Newcastle University
NES2305 Biodiversity, Ecology and Conservation
NES2309 Evolutionary Biology (module leader)
Under- and postgraduate student projects using DEBBIES; a database to compare life history strategies across ectotherms
How can we predict how populations respond to the ever greater changes in their environment? Within this project, we want to know which characteristics of organisms relate to population responses to environmental change. One way to find out is to analyse life history patterns using demographic models. However, depending on whether you model individual life histories from phenomenological descriptions (Salguero-Gomez et al. 2016; Paniw et al. 2018; Capdevila et al 2020) or from mechanistic descriptions using energy budget models (Smallegange et al. in 2020; Smallegange & Berg 2019), different predictions are obtained.
With DEBBIES (Smallegange & Lucas 2024), we aim to to (i) unravel if energy budget descriptions of individual life histories consistently return different predictions on population responses to environmental change compared to when individual life histories are represented by statistical functions, (ii) understand why that is the case, and (iii) identify the most accurate way to predict population responses to novel environmental change. To this end, I support Bachelor, Master and PhD student projects in which students answer their own research questions, while at the same time expanding the DEBBIES database to ultimately conduct large, cross-taxonomical life history analyses.
Do you want to be involved?
If you are a quantitatively driven mind with interests in life history theory, demography, eco-evolutionary dynamics, or related topics, please contact me to discuss potential graduate or postdoc opportunities in my group.
Students: Below is a list of current and past student projects conducted within the DEB-IPM project. Contact me to discuss research questions you would like to tackle.
Postdoctoral researchers: If you have got a project in mind that you would like to develop in my group, please contact me with a brief project proposal, CV and list of funding themes that you are considering for this project ( e.g. Marie Curie).
Completed DEBBIES student projects
- Burkeleigh Boyd: Assessing the Resilience of Marine Ectotherms to Climate Change - Insights from Life History Traits (2024).
- Charlotte Rowland: Modelling evolutionary rescue in marine populations: Can life history speed save populations? (2023).
- Gemma Crawford: There's no time to waste, the fast are winning the race! Comparison in life history speed and IUCN red list for species survival using dynamic energy bdguet integral projection models (DEB-IPM (2023).
- Jasmijn Hoevers: Demographic analysis to protect declining marine megafaunal populations against environmental changes (2021).
- Josje Romeijn: A dynamic budget approach to identify a fast-slow life history continuum in microorganisms (2021).
- Iris van Rijn: Analyzing life history patterns using the Dynamic Energy Budget Integral Projection Model (DEB-IPM) (2021).
- Dora Vig (MSc student at Utrecht University): Comparison of population-level life-history patterns of invasive marine species, using dynamic energy budget integral projection models, (2021).
- Sophie Timmerman: On the paradox in dynamic energy budget population models (2019).
- Gavin Jansen: Predicting changes in population dynamics using stochastic demographic models (2018).
- Tom Hopman: An analysis of life-history patterns in the fast-slow continuum using dynamic energy budget theory (2018).
- Naomi Eeltink: Predicting life history patterns across the fast-slow continuum: A cross-level test using the Dynamic Energy Budget-Integral Projection Model (DEB-IPM) (2017).
- Marjolein Toorians: her BSc project is part of the paper Smallegange et al. (2017) (see below).
Scientific papers resulting from DEBBIES
- Smallegange IM, Lucas S. 2024. DEBBIES Dataset to study Life Histories across Ectotherms. Scientific Data 11: 153.
- Rademaker M, van Leeuwen A, Smallegange IM. 2024. Why we cannot always expect life history strategies to directly inform on sensitivity to environmental change. Journal of Animal Ecology 2024, 93(3), 348-366
- Smallegange IM, Flotats Avilés M, Eustache K. 2020. Unusually paced life history strategies of marine megafauna drive atypical sensitivities to environmental variability. Frontiers in Marine Science 7:597492
- Smallegange IM, Berg M. 2019. A functional trait approach to identifying life history patterns in stochastic environments. Ecology and Evolution 9: 9350-9361
- Smallegange IM, Ens HM. 2018. Trait-based predictions and responses from laboratory mite populations to harvesting in stochastic environments. Journal of Animal Ecology 87: 893-905
- Smallegange IM, Caswell H, Toorians MEM, de Roos AM. 2017. Mechanistic description of population dynamics using dynamic energy budget theory incorporated into integral projection models. Methods in Ecology and Evolution 8: 146-154.
Popular science on DEBBIES
- Behind the paper blog post at Springer Nature Research Communities (Smallegange & Lucas 2024)
- From Newcastle University blog (Smallegange & Lucas 2024)
- Behind the paper blog post at Animal Ecology in Focus (Rademaker et al. 2024)
- Podcast: Population Biology & Eco-Evolutionary Dynamics From Mites to Manta Rays with Isabel Smallegange
- Smallegange IM, Berg MP (2020). A slow pace of life makes animals more sensitive to unpredictable climate variations. Amsterdam Science 11:3
- Smallegange IM. Big data also need big concepts. Biog post September 2019.
References
Capdevila, P., Beger, M., Blomberg, S. P., Hereu, B., Linares, C., and Salguero-Gómez, R. (2020). Longevity, body dimension and reproductive mode drive differences in aquatic versus terrestrial life history strategies. Funct. Ecol. 34, 1613–1625. doi: 10.1111/1365-2435.13604
Paniw, M., Ozgul, A., and Salguero-Gómez, R. (2018). Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation. Ecol. Lett. 21, 275–286. doi: 10.1111/ele.12892
de Roos AM, Persson L. (2013) Population and Community Ecology of Ontogenetic Development (Monographs in Population Biology, 51). Princeton University Press, Princeton, NJ, USA.
Salguero-Gomez R, Jones OR, Jongejans E, Blomberg SP, Hodgson DJ, Mbeau-Ache C. et al. (2016). Fast-slow continuum and reproductive strategies structure plant life-history variation worldwide. Proc. Natl Acad. Sci. 113: 230-235.
Smallegange IM, Coulson T (2013). Towards a general, population-level understanding of eco-evolutionary change. Trends in Ecology & Evolution 28: 143-148.
Smallegange IM, Lucas S. 2023. DEBBIES to compare life history strategies across ectotherms. Preprint. https://doi.org/10.1101/2023.08.22.554265
Smallegange, I. M., Caswell, H., Toorians, M. E. M., and de Roos, A. M. (2017). Mechanistic description of population dynamics using dynamic energy budget theory incorporated into integral projection models. Methods Ecol. Evol. 8, 146–154. doi: 10.1111/2041-210x.12675
Publications
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Articles
- Rademaker M, van Leeuwen A, Smallegange IM. Why we cannot always expect life history strategies to directly inform on sensitivity to environmental change. Journal of Animal Ecology 2024, 93(3), 348-366.
- Eustache KB, van Loon E, Rummer JL, Planes S, Smallegange I. Spatial and temporal analysis of juvenile blacktip reef sharks (Carcharhinus melanopterus) demographics identifies critical habitats. Journal of Fish Biology 2024, 104(1), 92-103.
- Toorians MEM, Smallegange IM, Davies TJ. Host community structure can shape pathogen outbreak dynamics through a phylogenetic dilution effect. Functional Ecology 2024, epub ahead of print.
- Smallegange IM, Lucas S. DEBBIES Dataset to study Life Histories across Ectotherms. Scientific Data 2024, 11, 153.
- Deere JA, Smallegange IM. Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations. Peer Community Journal 2023, 3, e117.
- Zeeman AN, Smallegange IM, Burdfield Steel E, Groot AT, Stewart KAS. Toward an understanding of the chemical ecology of alternative reproductive tactics in the bulb mite (Rhizoglyphus robini). BMC Ecology and Evolution 2022, 22, 5.
- Rhebergen FT, Stewart KA, Smallegange IM. Nutrient-dependent allometric plasticity in a male-diphenic mite. Ecology and Evolution 2022, 12(8), e9145.
- Zweerus NL, van Wijk M, Smallegange IM, Groot AT. Mating status affects female choice when females are signalers. Ecology and Evolution 2022, 12(4), e8846.
- Smallegange IM. Integrating developmental plasticity into eco-evolutionary population dynamics. Trends in Ecology & Evolution 2022, 37(2), 129-137.
- Romeijn J, Smallegange IM. Exploring how the fast-slow pace of life continuum and cell size structure microorganism life history variation. bioRxiv 2022.
- Domínguez R, Vázquez E, Smallegange IM, Woodin SA, Wethey DS, Peteiro LG, Olabarria C. Predation risk increases in estuarine bivalves stressed by low salinity. Marine Biology 2021, 168, 132.
- Rademakers M, Smallegange IM, van Leeuwen A. Causal links between North Sea fish biomass trends and seabed structure. Marine Ecology Progress Series 2021, 677, 129-140.
- Deere JA, van den Berg I, Roth G, Smallegange IM. A modelling exercise to show why population models should incorporate distinct life histories of dispersers. Population Ecology 2021, 63(2), 134-144.
- Smallegange IM, Flotats Avilés M, Eustache K. Unusually paced life history strategies of marine megafauna drive atypical sensitivities to environmental variability. Frontiers in Marine Science 2020, 7, 597492.
- Stewart KA, Draaijer R, Kolasa MR, Smallegange IM. The role of genetic diversity in the evolution and maintenance of environmentally-cued, male alternative reproductive tactics. BMC Evolutionary Biology 2019, 19, 58.
- Smallegange IM, Rhebergen FT, Stewart KA. Cross-level considerations for explaining selection pressures and the maintenance of genetic variation in condition-dependent male morphs. Current Opinion in Insect Science 2019, 36, 66-73.
- van den Beuken TPG, Duinmeijer CC, Smallegange IM. Costs of weaponry: unarmed males sire more offspring than armed males in a male-dimorphic mite. Journal of Evolutionary Biology 2019, 32(2), 153-162.
- Croll JC, Egas M, Smallegange IM. An eco-evolutionary feedback loop between population dynamics and fighter expression affects the evolution of alternative reproductive tactics. Journal of Animal Ecology 2019, 88(1), 11-23.
- Smallegange IM, Berg M. A functional trait approach to identifying life history patterns in stochastic environments. Ecology and Evolution 2019, 9(16), 9350-9361.
- Van den Beuken TPG, Stockwell L, Smallegange IM. Et tu, brother? Kinship and increased nutrition lower cannibalism incidence in male bulb mites. Animal Behaviour 2019, 152, 45-52.
- Smallegange IM, Ens HM. Trait-based predictions and responses from laboratory mite populations to harvesting in stochastic environments. Journal of Animal Ecology 2018, 87(4), 893-905.
- Smallegange IM, Fernandes RE, Croll JC. Population consequences of individual heterogeneity in life histories: overcompensation in response to harvesting of alternative reproductive tactics. Oikos 2018, 127(5), 738-749.
- van den Beuken TPG, Smallegange IM. Male nutritional history affects female fecundity in a male-dimorphic mite: Evidence for a nuptial gift?. Evolutionary Ecology 2018, 32, 411-425.
- van den Beuken TPG, Smallegange IM. Life-history consequences of bidirectional selection for male morph in a male-dimorpic bulb mite. Experimental and Applied Acarology 2018, 76, 435-452.
- Hamel S, Yoccoz NG, Gaillard J-M, Bassar RD, Bouwhuis S, Caswell H, Douhard M, Gangloff EJ, Gimenez O, Lee PC, Smallegange IM, Steiner UK, Vedder O, Vindenes Y. General conclusion to the special issue Moving forward on individual heterogeneity. Oikos 2018, 127(5), 750-756.
- Stewart KA, van den Beuken TPG, Rhebergen FT, Deere JA, Smallegange IM. Evidence for a third male type in a male-dimorphic model species. Ecology 2018, 99(7), 1685-1687.
- Deere JA, Coulson T, Cubaynes S, Smallegange IM. Unsuccessful dispersal affects life history characteristics of natal populations: The role of dispersal related variation in vital rates. Ecological Modelling 2017, 366, 37-47.
- Smallegange IM, Caswell H, Toorians MEM, de Roos AM. Mechanistic description of population dynamics using dynamic energy budget theory incorporated into integral projection models. Methods in Ecology and Evolution 2017, 8(2), 146-154.
- Smallegange IM, van der Ouderaa IBC, Tibiriça Y. Effects of yearling, juvenile and adult survival on reef manta ray (Manta alfredi) demography. PeerJ 2016, 4, e2370.
- Deere JA, Coulson T, Smallegange IM. Life history consequences of the facultative expression of a dispersal life stage in the phoretic bulb mite (Rhizoglyphus robini). PLoS ONE 2015, 10, e0136872.
- Smallegange IM, Egas CJM. Good for the group? Explaining apparent group-level selection. Trends in Ecology & Evolution 2015, 30(7), 379-381.
- Smallegange IM, Johansson J. Life history differences favour evolution of male dimorphism in competitive games. American Naturalist 2014, 183(2), 188-198.
- Leigh DM, Smallegange IM. Effects of variation in nutrition on male morph development in the bulb mite Rhizoglyphus robini. Experimental and Applied Acarology 2014, 64, 159-170.
- Deere JA, Smallegange IM. Does frequency-dependence determine male morph survival in the bulb mite Rhizoglyphus robini?. Experimental and Applied Acarology 2014, 62, 425-436.
- Smallegange IM, Deere JA, Coulson T. Correlative changes in life-history variables in response to environmental change in a model organism. American Naturalist 2014, 183(6), 784-797.
- Smallegange IM, Coulson T. Towards a general, population-level understanding of eco-evolutionary change. Trends in Ecology & Evolution 2013, 28, 143-148.
- Smallegange IM, Charalambous M, Thorne N. Fitness trade-offs and the maintenance of alternative male morphs in the bulb mite (Rhizoglyphus robini). Journal of Evolutionary Biology 2012, 25, 972-980.
- Johansson J, Smallegange IM, Jonzén N. An eco-evolutionary model for demographic and phenological responses in migratory birds. Biology 2012, 1, 639-657.
- Smallegange IM, Coulson T. The stochastic demography of two coexisting male morphs. Ecology 2011, 92, 755-764.
- Smallegange IM, van der Meer J, Fiedler W. Population dynamics of three songbird species in a nestbox population in Central Europe show effects of density, climate and competitive interactions. Ibis 2011, 153, 806-817.
- Smallegange IM. Effects of paternal phenotype and environmental variability on age and size at maturity in a male dimorphic mite. Naturwissenschaften 2011, 98, 339-346.
- Smallegange IM. Complex environmental effects on the expression of alternative reproductive phenotypes in the bulb mite. Evolutionary Ecology 2011, 25, 857-873.
- Godsall B, Smallegange IM. Assessment games in the mangrove tree-dwelling crab, Selatium brockii (De Man, 1887). Crustaceana 2011, 84, 1697-1718.
- Smallegange IM, Fiedler W, Köppen U, Geiter O, Barlein F. Tits on the move: exploring the impact of environmental change on blue tit and great tit migration distance. Journal of Animal Ecology 2010, 79, 350-357.
- Smallegange IM, van der Meer J. Testing a stochastic version of the Beddington-DeAngelis functional response in foraging shore crabs. Marine Biology 2010, 157, 1027-1040.
- Smallegange IM, van der Meer J, Sabelis MW. ‘Take-away’ foraging spatially uncouples predator and prey-attack distributions. Journal of Animal Ecology 2010, 79, 769-776.
- Smallegange IM, Coulson T. Unifying ecological and evolutionary dynamics through experimental stochastic demography. Israel Journal of Ecology and Evolution 2009, 55, 199-205.
- Smallegange IM, van der Meer J. The distribution of unequal predators across food patches is not necessarily (semi)truncated. Behavioral Ecology 2009, 20, 525-534.
- Smallegange IM, van Noordwijk CGE, van der Meer J, van der Veer HW. Spatial distribution of shore crab Carcinus maenas in an intertidal environment in relation to their morphology, prey availability and competition. Marine Ecology Progress Series 2009, 392, 143-155.
- van der Meer J, Smallegange IM. A stochastic version of the Beddington-DeAngelis functional response: modelling interference for a finite number of predators. Journal of Animal Ecology 2009, 78, 134-142.
- Smallegange IM, Hidding B, Eppenga JMA, van der Meer J. Optimal foraging and risk of claw damage: how flexible are shore crabs in their prey size selectivity?. Journal of Experimental Marine Biology and Ecology 2008, 367, 157-163.
- Smallegange IM, Tregenza T. Local competition between foraging relatives: growth and survival of bruchid beetle larvae. Journal of Insect Behavior 2008, 21, 375-386.
- Smallegange IM, van der Meer J. Interference from a game theoretical perspective: shore crabs suffer most from equal competitors. Behavioral Ecology 2007, 18, 215-221.
- Smallegange IM, Sabelis MW, van der Meer J. Assessment games in shore crab fights. Journal of Experimental Marine Biology and Ecology 2007, 351, 255-266.
- Smallegange IM, van der Meer J, Kurvers RHJM. Disentangling interference competition from exploitative competition in a crab-bivalve system using a novel experimental approach. Oikos 2006, 113, 157-167.
- Smallegange IM, van der Meer J. Why do shore crabs not prefer the most profitable mussels?. Journal of Animal Ecology 2003, 72, 599-607.
- Riebel K, Smallegange IM. Does zebra finch (Taeniopygia guttata) preference for the (familiar) father’s song generalize to the songs of unfamiliar brothers?. Journal of Comparative Psychology 2003, 117, 61-66.
- Riebel K, Smallegange IM, Terpstra NJ, Bolhuis JJ. Sexual equality in zebra finch song preference: evidence for a dissociation between song recognition and production learning. Proceedings of the Royal Society London B 2002, 269, 729-733.
- Smallegange IM, Brunsting AMH. Food supply and demand, a simulation model of the functional response of grazing ruminants. Ecological Modelling 2002, 149, 179-192.
- Agoramoorthy G, Smallegange I, Spruit I, Hsu MJ. Swimming behaviour among bonnet macaques in Tamil Nadu. Folia Primatologica 2000, 71, 152-153.
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Book Chapters
- Smallegange IM. Life History Trade-offs. In: Kliman RM, ed. Encyclopedia of Evolutionary Biology. Oxford: Oxford: Academic Press, 2016, pp.390–393.
- Smallegange IM, Deere JA. Eco-evolutionary interactions as a consequence of selection on a secondary sexual trait. In: Jordi Moya-Laraño, Jennifer Rowntree, Guy Woodward, ed. Eco-Evolutionary Dynamics. London: Academic Press, 2014, pp.145-169.