麻豆传媒

Biography

Dr Isabel Smallegange is a population biologist whose research integrates developmental biology, behavioural ecology, and ecological modelling to understand how organisms shape and are shaped by their environments. She is known for pioneering frameworks that link energetics and agency to phenotypic plasticity, with applications from invertebrates to marine megafauna.

At 麻豆传媒, Dr Smallegange is Co-Lead of the Behaviour 麻豆传媒 Centre of Research Excellence and Director of Culture & Inclusion in the School of Natural and Environmental Sciences. In these roles, she leads strategic initiatives to foster inclusive, high-performing research environments, strengthen early career researcher development and build interdisciplinary collaborations that address societal and environmental challenges. She is also a of the Species Survival Commission, International Union for the Conservation of Nature.

Her career spans leading institutions including the University of Amsterdam, Imperial College London, Oxford University and the Max Planck Institute. She has secured £3.93M in competitive personal Fellowships, served in governance and policy roles at faculty and national levels, serves on international editorial boards, grant panels and scientific advisory councils and has been recognised as a Top Scholar in Population Dynamics by

Research Summary

Smallegange is a population biologist with expertise in developmentally informed demography, experimental evolution and ecological modelling. Her research integrates theory and empiricism to understand how developmental and behavioural processes shape eco-evolutionary population dynamics in both marine and terrestrial systems. She has pioneered frameworks linking energetics and agency to phenotypic plasticity, with applications from model invertebrates to marine megafauna, including studies on the ecology, behaviour and conservation of species in changing ocean environments. Her work has been recognised internationally and she leads interdisciplinary collaborations spanning marine biology, terrestrial ecology, philosophy and conservation, generating insights that inform both fundamental science and applied management in the context of global environmental change.

Open Research Champion

Smallegange is an Open Research Champion at the School of Natural and Environmental Sciences. She leads the development of , an open life-history and demographic modelling framework built through student-led research and open science practices. Isabel actively embeds openness across the research lifecycle, from open datasets and reproducible models to open education, communication and peer review. She is a recommender for Peer Community in Zoology, and is committed to empowering students and researchers to contribute to and benefit from transparent, collaborative science.

Recent Publications (see also Publication List)

Smallegange IM. 2026. . Academia Biology 4(1). 

Smallegange IM, Pilakouta N. 2025. . Functional Ecology 39: 2944-2948.

Lucas S*, Berggren P, Barrowclift E, Smallegange IM*. 2025. . Ecology Letters 28: e70201.

Speakman CN, Bull S, Cubaynes S, Davis K, Devillard S, Fryxell J, Gallagher CA, McHuron EA, Rastello K, Smallegange IM, Salguero-Gómez R, Bonnaud E, Duchamp C, Giraudoux P, Lacombe S, Marneweck C, Schroll L, Tableau A, Ruette S, Gimenez O. 2025. . Ecology Letters 28: e70198.

Smallegange IM, Edwards LHA, Attle A. 2025. . In: Estuaries - Dynamic Ecosystems at the Land-Sea Interface (Ed. Pereira L). Rijeka: InTechOpen.

Stevenson EA, Lucas S, McGowan PJK, Smallegange IM*, Mair L*. 2025. Ecology and Evolution 15: e71488

Edwards LHA, Smallegange IM. 2025. . Functional Ecology.

Stewart KAS, Smallegange IM*. 2025. . Evolution & Development 27:e70002

Smallegange IM, Guenther A. 2024.. Evolution Letters 9: 172-183.

Smallegange IM, Lucas S. 2024. . Scientific Data 11: 153.

See the Press Release and the blog post at and at the

Rademaker M, van Leeuwen A, Smallegange IM. 2024. . Journal of Animal Ecology 93: 348-366

See the blog post at , and the Research Highlight in Journal of Animal Ecology by .

My full CV with Publication List can be found . My full list of publications can also be found on .

Professional Appointments

2022 – present    Senior Lecturer, SNES, 麻豆传媒, UK

2024 – present    Co-Lead Behaviour 麻豆传媒 Centre of Research Excellence

2024 – present    Director of Culture & Inclusion, SNES, 麻豆传媒, UK

2023 – present    Group Lead, Modelling, Evidence and Policy group, 麻豆传媒, UK

2022 – 2024        Co-Director Centre for Cognition, Behaviour and Evolution, 麻豆传媒, UK

2018 – 2022        Associate Professor, Faculty of Science, University of Amsterdam, NL

2013 – 2018        MacGillavry Fellowship, Faculty of Science, University of Amsterdam, NL

2010 – 2013        Research Fellow at Imperial College London & University of Oxford, UK

2008 – 2010        Rubicon Fellowship (NWO) – held at Imperial College London, UK

2007 – 2008    Alexander v Humboldt Fellowship – held at Max Planck Inst. for Ornithology, G

2005                   Marie Curie Research Trainee Fellowship – held at University of Exeter, UK

Education

2022           Senior Fellowship of the Higher Education Academy (SFHEA) (UK)

2014           University Teaching Qualification for Lecturers (The Netherlands)

5 Sep 2007 PhD, ‘Interference competition and patch choice in foraging shore crabs’ (0.8 fte)

Netherlands Institute for Sea Research & University of Amsterdam, The Netherlands

2000          BSc + MSc Population Biology, Wageningen University, The Netherlands

Fellowships, Honours and Awards

2026– Open Research Champion (麻豆传媒)

2025   Open Research Award, 2nd place, for my open research practice (麻豆传媒)

2025    麻豆传媒 Nominee, Frontiers Planet Prize for the paper in ) recognised as breakthrough research addressing multiple planetary boundaries.

2024    Top Scholar Recognition ( 2024): ranked in the top 0.5% of scholars worldwide in the field of Population Dynamics over the past five years, based on publication impact, research quality, and scholarly contributions

2023    Columbia Sponsored Travel Award £500

2017    Nominated for Lecturer of the Year 2017 (University of Amsterdam)

2014    Aspasia Grant Laureate, awarded by the Dutch Research Council, € 100,000

2014    VIDI Laureate, awarded by the Dutch Research Council, 5 years, € 800,000

2013    MEERVOUD Laureate awarded by the Dutch Research Council, 4 years, € 225,000

2013    MacGillavry Fellowship, awarded by University of Amsterdam, 5 years, € 850,000

2010    Nominated among 400 top women-under-38 Dutch talent by Viva Magazine

2009    Dutch Wadden Academy Prize for best PhD thesis, € 5,000

2008    Rubicon Fellowship, awarded by Dutch Research Council, 2 years, € 87,480

2007    Alexander von Humboldt (AvH) Fellowship, awarded by AvH Foundation, 1 year, € 25,000

2005    Marie Curie Research Fellowship, awarded by Marie Curie Fellowship Assoc., 6 mo, £ 6,000

2001   Poster award, First European Conference on Behavioural Biology, Münster (Germany)

Grants & Projects

2026-29  NERC Pushing the Frontiers grant, 3 years, 948k£ (PI)

2026-34  Co-I (65k£) on Lot 9.1 Nature and Climate Analysis within 1.6M£ UK RDE Framework; Fera Science Ltd is lead applicant with 麻豆传媒 (NU) as major subcontractor

2025-        Biogeography, Modelling and Management Tools Working Group. British Antarctic Survey.

2024-26   Co-researcher Participatory Action Research Group (NU)

2024-27   Co-I international research consortium (200k€)

2022         Co-I on 1M€ work package within 9M€ awarded to NWA-ORC MetaHealth consortium

2021         Travel grant, €4,011, Amsterdam University Fund (PI)

2019         1.5 yr, 0.8 fte, Post Doc position, 100k€, University of Amsterdam (PI)

2017         Marie Curie Fellowship ECOEVOCLIM 166k€ (co-supervisor)

2015         Post Doc position, 3-yr, 1 fte, 185k€, University of Amsterdam (PI)

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 how animals respond to change depending on their life history strategies (i.e. the different ways in which individuals trade-off resource investment into survival or reproduction). The DEB-IPM project (see Teaching Tab on my 麻豆传媒 website) is such a framework, in which we link the characteristics of coldblooded animals to their population response to environmental change.

The DEB-IPM project uses the DEBBIES dataset, which can download  along with the accompanying . For those interested, I’ve recorded a couple of videos explaining   and  to answer life history and conservation questions. 

Including eco-evolutionary dynamics in this framework is essential to understand how evolutionary changes (like shifts in genotype and phenotype frequencies) and ecological changes (like population size and growth) influence each other. Historically, ecologists and evolutionary biologists overlooked each other’s processes due to differing time scales. However, recent perspectives highlight the interplay between these variables. Our research focuses on predicting eco-evolutionary population responses to environmental changes through long-term experiments with bulb mites and demographic models for estuarine and coastal marine species. Particularly in human-dominated coastal areas, we aim to understand how human activities affect life history traits and population dynamics. For more details, see our contribution to the special issue on ““, to which the team 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. An example of this can be found  to the extent that phenotypic variation derived from development becomes encoded in the genome. How to integrate developmental plasticity into eco-evolutionary population dynamics I explain . In  we argue how a development-centric perspective explains the pace-of-life syndromes of animals and how they relate to responses to environmental change. Finally, in my latest , I argue for a development‑centric demography that links how organisms actively shape their own development with population dynamics, offering a stronger basis for understanding eco‑evolutionary feedbacks and resilience under environmental change.

Other projects the team is involved in

: 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.

: Isabel is a member of the Participatory Action Research group, committed to making a positive impact within 麻豆传媒 and in turn, voicing what we learn more widely to advocate for sector wide change.

Prospective students

Please check out the teaching tab for student projects on life history strategies and population responses to environmental change using the dataset, which is described in . 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 , , , , 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 team members or affiliations

- Emily Stevenson (麻豆传媒; PhD; co-supervisor): Quantifying species recovery following threat abatement

- Lukas Edwards (麻豆传媒; PhD; I am the main supervisor): The eco-evolutionary dynamics of how life histories structure population responses to change through evolving developmental systems.

- Melissa Versteeg (麻豆传媒; PhD 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 (麻豆传媒; PhD 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 and MRes

- Simone Tava (2025, University of Milano graduate; volunteer researcher): The role of energy acquisition and allocation in shaping life history strategies in marine megafauna

- Victoria Dixon (2025, 麻豆传媒; MRes; I am the main supervisor): Can morphology be a useful predictor of life history strategies in fish?

- Sol Lucas (2025, 麻豆传媒) (with Per Berggren; I was co-supervisor): Assessing the population dynamics and conservation of sharks in the UK.

- (2024, NIOZ, Netherlands) (with Anieke van Leeuwen; I was co-supervisor): From pattern to process in modelling the spatiotemporal dynamics of marine communities

-  (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

(2017 - 2021) - now Associate Professor at Leiden University

(2017 - 2019) - now Senior Lecturer at Universidad Complutense Madrid

(2015 - 2018) - now Lecturer in Biosciences a the University of Surrey

Modules taught and teaching roles at 麻豆传媒

NES2309 Evolutionary Biology (module leader)

NES2305 Biodiversity, Ecology and Conservation

NES8502 Marine Dissertation Project Planning

Senior Support Tutor Biology/Zoology

Biology-Psychology Joint Honours Liaison

Research 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 (), 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 research projects in which students or postdocs 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?

In my group, you can apply computational modelling using cutting-edge demographic models based on energy budget theory to investigate how cold-blooded animals respond to environmental change. Leveraging the DEBBIES database - a new open-access dataset built to parameterise mechanistic demographic models - you’ll craft your own research questions linking life history strategies and predictions of population dynamics (see and the paper: ). Your project might explore themes like phenotypic plasticity, eco-evolutionary dynamics, or cross-species life-history strategies. Along the way, you’ll contribute to a growing resource for ambitious, large-scale biodiversity forecasting under global change. For more information about my supervision style, teaching philosophy and ongoing projects, check out the Teaching tab on my work webpage or my  (For additional context, you might also explore this ).

You can explore the DEBBIES dataset via or directly download it . In a couple of videos I explain and to answer life history and conservation questions.

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.

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

• Victoria Dixon: Morphology predicts life history strategies in fish (2025).
• Sally Brandon: The Future of Filter Feeders: Modelling the Impacts of Climate-Driven Plankton Decline on Manta Ray Life History Traits (2025).
• Kathryn Rowell: Modelling evolutionary rescue in ectothermic marine populations: How does variation in both life history traits and life history speed impact evolutionary rescue in ectothermic marine populations under environmental stress? (2025).
• Abbie Hayes: Drivers of Population Persistence in the Spiny Dogfish (Squalus acanthias): Investigating the Influence of Feeding Level, Mortality and Life-History Plasticity (2025).
• 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

• Lucas S, Berggren P, Barrowclift E, Smallegange IM*. 2025. . Ecology Letters 28: e70201.
• Smallegange IM, Edwards LHA, Attle A. 2025. . In: Estuaries - Dynamic Ecosystems at the Land-Sea Interface (Ed. Pereira L). Rijeka: InTechOpen.
• Stevenson EA, Lucas S, McGowan PJK, Smallegange IM*, Mair L*. 2025. Ecology and Evolution 15: e71488
• Smallegange IM, Lucas S. 2024. . Scientific Data 11: 153.
• Rademaker M, van Leeuwen A, Smallegange IM. 2024. . Journal of Animal Ecology 2024, 93(3), 348-366 
• Smallegange IM, Flotats Avilés M, Eustache K. 2020. . Frontiers in Marine Science 7:597492
• Smallegange IM, Berg M. 2019. . Ecology and Evolution 9: 9350-9361
• Smallegange IM, Ens HM. 2018. . Journal of Animal Ecology 87: 893-905
• Smallegange IM, Caswell H, Toorians MEM, de Roos AM. 2017. . Methods in Ecology and Evolution 8: 146-154.

Popular science on DEBBIES

• (Lucas et al. 2025)
• (Smallegange et al. 2025)
• at Springer Nature Research Communities (Smallegange & Lucas 2024)
• (Smallegange & Lucas 2024)
• at Animal Ecology in Focus (Rademaker et al. 2024)
• : 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. . Blog 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

• Articles

  • Smallegange IM. . Academia Biology 2026, 4(1), 1-7.
  • Speakman CN, Bull S, Cubaynes S, Davis K, Devillard S, Fryxell J, Gallagher CA, McHuron EA, Rastello K, Smallegange IM, Salguero-Gómez R, Bonnaud E, Duchamp C, Giraudoux P, Lacombe S, Marneweck C, Schroll L, Tableau A, Ruette S, Gimenez O. . Ecology Letters 2025, 28(8), e70198.
  • Stevenson EA, Lucas S, McGowan PJK, Smallegange IM, Mair L. . Ecology and Evolution 2025, 15(6), e71488.
  • Edwards LHA, Smallegange IM. . Functional Ecology 2025, 39(11), 2985-2998.
  • Smallegange IM, Pilakouta N. . Functional Ecology 2025, 39(11), 2944-2948.
  • Stewart KAS, Smallegange IM. . Evolution & Development 2025, 27(1), e70002.
  • Lucas S, Berggren P, Barrowclift E, Smallegange IM. . Ecology Letters 2025, 28(9), e70201.
  • Smallegange IM, Guenther A. . Evolution Letters 2025, 9(2), 172-183.
  • Rademaker M, van Leeuwen A, Smallegange IM. . Journal of Animal Ecology 2024, 93(3), 348-366.
  • Eustache KB, van Loon E, Rummer JL, Planes S, Smallegange I. . Journal of Fish Biology 2024, 104(1), 92-103.
  • Toorians MEM, Smallegange IM, Davies TJ. . Functional Ecology 2024, 38(10), 2169-2183.
  • Smallegange IM, Lucas S. . Scientific Data 2024, 11, 153.
  • Deere JA, Smallegange IM. . Peer Community Journal 2023, 3, e117.
  • Zeeman AN, Smallegange IM, Burdfield Steel E, Groot AT, Stewart KAS. . BMC Ecology and Evolution 2022, 22, 5.
  • Rhebergen FT, Stewart KA, Smallegange IM. . Ecology and Evolution 2022, 12(8), e9145.
  • Zweerus NL, van Wijk M, Smallegange IM, Groot AT. . Ecology and Evolution 2022, 12(4), e8846.
  • Smallegange IM. . Trends in Ecology & Evolution 2022, 37(2), 129-137.
  • Romeijn J, Smallegange IM. . bioRxiv 2022.
  • Domínguez R, Vázquez E, Smallegange IM, Woodin SA, Wethey DS, Peteiro LG, Olabarria C. . Marine Biology 2021, 168, 132.
  • Rademakers M, Smallegange IM, van Leeuwen A. . Marine Ecology Progress Series 2021, 677, 129-140.
  • Deere JA, van den Berg I, Roth G, Smallegange IM. . Population Ecology 2021, 63(2), 134-144.
  • Smallegange IM, Flotats Avilés M, Eustache K. . Frontiers in Marine Science 2020, 7, 597492.
  • Stewart KA, Draaijer R, Kolasa MR, Smallegange IM. . BMC Evolutionary Biology 2019, 19, 58.
  • Smallegange IM, Rhebergen FT, Stewart KA. . Current Opinion in Insect Science 2019, 36, 66-73.
  • van den Beuken TPG, Duinmeijer CC, Smallegange IM. . Journal of Evolutionary Biology 2019, 32(2), 153-162.
  • Croll JC, Egas M, Smallegange IM. . Journal of Animal Ecology 2019, 88(1), 11-23.
  • Smallegange IM, Berg M. . Ecology and Evolution 2019, 9(16), 9350-9361.
  • Van den Beuken TPG, Stockwell L, Smallegange IM. . Animal Behaviour 2019, 152, 45-52.
  • Smallegange IM, Ens HM. . Journal of Animal Ecology 2018, 87(4), 893-905.
  • Smallegange IM, Fernandes RE, Croll JC. . Oikos 2018, 127(5), 738-749.
  • van den Beuken TPG, Smallegange IM. . Evolutionary Ecology 2018, 32, 411-425.
  • van den Beuken TPG, Smallegange IM. . 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. . Oikos 2018, 127(5), 750-756.
  • Stewart KA, van den Beuken TPG, Rhebergen FT, Deere JA, Smallegange IM. . Ecology 2018, 99(7), 1685-1687.
  • Deere JA, Coulson T, Cubaynes S, Smallegange IM. . Ecological Modelling 2017, 366, 37-47.
  • Smallegange IM, Caswell H, Toorians MEM, de Roos AM. . Methods in Ecology and Evolution 2017, 8(2), 146-154.
  • Smallegange IM, van der Ouderaa IBC, Tibiriça Y. . PeerJ 2016, 4, e2370.
  • Deere JA, Coulson T, Smallegange IM. . PLoS ONE 2015, 10, e0136872.
  • Smallegange IM, Egas CJM. . Trends in Ecology & Evolution 2015, 30(7), 379-381.
  • Smallegange IM, Johansson J. . American Naturalist 2014, 183(2), 188-198.
  • Leigh DM, Smallegange IM. . Experimental and Applied Acarology 2014, 64, 159-170.
  • Deere JA, Smallegange IM. . Experimental and Applied Acarology 2014, 62, 425-436.
  • Smallegange IM, Deere JA, Coulson T. . 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.

• Book Chapters

  • Smallegange IM, Edwards LHA, Attle A. . In: Leonel Pereira, ed. Estuaries - Dynamic Ecosystems at the Land-Sea Interface. 2025.
  • Smallegange IM. . In: Kliman RM, ed. Encyclopedia of Evolutionary Biology. Oxford: Oxford: Academic Press, 2016, pp.390–393.
  • Smallegange IM, Deere JA. . In: Jordi Moya-Laraño, Jennifer Rowntree, Guy Woodward, ed. Eco-Evolutionary Dynamics. London: Academic Press, 2014, pp.145-169.