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    • Publisher:
      Cambridge University Press
      Publication date:
      20 July 2023
      10 August 2023
      ISBN:
      9781108900010
      9781316514122
      9781108827522
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.27kg, 88 Pages
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.14kg, 88 Pages
    • Series:
      Elements in the Philosophy of Biology
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    Series:
    Elements in the Philosophy of Biology

    Book description

    Complexity has received substantial attention from scientists and philosophers alike. There are numerous, often conflicting, accounts of how complexity should be defined and how it should be measured. Much less attention has been paid to the epistemic implications of complexity, especially in Ecology. How does the complex nature of ecological systems affect ecologists' ability to study them? This Element argues that ecological systems are complex in a rather special way: they are causally heterogeneous. Not only are they made up of many interacting parts, but their behaviour is variable across space or time. Causal heterogeneity is responsible for many of the epistemic difficulties that ecologists face, especially when making generalisations and predictions. Luckily, ecologists have the tools to overcome these difficulties, though these tools have historically been considered suspect by philosophers of science. The author presents an updated philosophical account with an optimistic outlook of the methods and status of ecological research.

    Reviews

    ‘… a concise introduction to a few of the issues that have characterized the challenge of making theoretical advances in ecological complexity while emphasizing the deep value of identifying empirical regularities across ecological case studies.’

    David C. Krakauer Source: The Quarterly Review of Biology

    Bibliography

    Akamatsu, T., Wang, D., Wang, K., & Wei, Z. (2001). Comparison between visual and passive acoustic detection of finless porpoises in the Yangtze River, China. The Journal of the Acoustical Society of America, 109(4), 1723–7.
    Anand, M., & Orlóci, L. (1996). Complexity in plant communities: The notion and quantification. Journal of Theoretical Biology, 179, 179–86.
    Arthur, W.B. (1999). The End of Certainty in Economics. In: Aerts, D., Broekaert, J., Mathijs, E. (eds) Einstein Meets Magritte: An Interdisciplinary Reflection. Einstein Meets Magritte: An Interdisciplinary Reflection on Science, Nature, Art, Human Action and Society, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4704-0_14
    Barkai, A., & McQuaid, C. (1988). Predator-prey role reversal in a marine benthic ecosystem. Science, 242(4875), 62–4.
    Barnes, E. C. (2018). Prediction versus accommodation. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/archives/fall2018/entries/prediction-accommodation/
    Barrett, J., & Stanford, P. K. (2006). Prediction. In Pfeifer, J. & Sarkar, S. (Eds.), The Philosophy of Science: An Encyclopedia (pp. 585599). Routledge.
    Bartram, I., & Jeschke, J. (2019). Do cancer stem cells exist? A pilot study combining a systematic review with the hierarchy-of-hypotheses approach. PLoS One, 14(12), e0225898.
    Barua, M. (2011). Mobilizing metaphors: The popular use of keystone, flagship and umbrella species concepts. Biodiversity & Conservation, 20(7), 1427–40.
    Bascompte, J., & Solé, R. (1995). Rethinking complexity: Modelling spatiotemporal dynamics in ecology. Trends in Ecology & Evolution, 10(9), 361–6.
    Beck, M. W. (1997). Inference and generality in ecology: Current problems and an experimental solution. Oikos, 78(2), 265–73.
    Beckage, B., Gross, L. J., & Kauffman, S. (2011). The limits to prediction in ecological systems. Ecosphere, 2(11), 112.
    Benincà, E., Huisman, J., Heerkloss, R. et al. (2008). Chaos in a long-term experiment with a plankton community. Nature, 451(7180), 822–5.
    Berec, L., Angulo, E., & Courchamp, F. (2007). Multiple Allee effects and population management. Trends in Ecology & Evolution, 22(4), 185–91.
    Bishop, R. C. (2011). Metaphysical and Epistemological Issues in Complex Systems (Hooker, C., Ed.; Vol. 10, pp. 105136). Elsevier.
    Boakes, E. H., Fuller, R. A., McGowan, P. J. K., & Mace, G. M. (2016). Uncertainty in identifying local extinctions: The distribution of missing data and its effects on biodiversity measures. Biology Letters, 12(3), 20150824.
    Bonenfant, C., Gaillard, J. M., Coulson, T. et al. (2009). Empirical evidence of density‐dependence in populations of large herbivores. Advances in Ecological Research, 41, 313–57.
    Brashares, J. S., Werner, J. R., & Sinclair, A. R. E. (2010). ‘Social meltdown’ in the demise of an island endemic: Allee effects and the Vancouver Island marmot. Journal of Animal Ecology, 79(5), 967–53.
    Brown, K., Elliott, J. I., & Kemp, J. (2015). Ship rat, stoat and possum control on mainland New Zealand [Scientific Report]. New Zealand Department of Conservation.
    Brush, S. G. (1994). Dynamics of theory change: The role of predictions. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, 1994(2), 133–45.
    Cartwright, N. (1989). Nature’s Capacities and Their Measurement. Oxford University Press.
    Casper, B. B., & Castelli, J. P. (2007). Evaluating plant-soil feedback together with competition in a serpentine grassland. Ecology Letters, 10(5), 394400.
    Clark, A. T., Ann Turnbull, L., Tredennick, A. et al. (2019). Predicting species abundances in a grassland biodiversity experiment: Trade‐offs between model complexity and generality. Journal of Ecology, 108(2), 774–87.
    Clarkson, K., Eden, S. F., Sutherland, W. J., & Houston, A. I. (1986). Density dependence and magpie food hoarding. Journal of Animal Ecology, 55(1), 111–21.
    Colautti, R. I., & MacIsaac, H. J. (2004). A neutral terminology to define ‘invasive’ species. Diversity and Distributions, 10(2), 135–41.
    Colyvan, M., & Ginzburg, L. R. (2003). Laws of nature and laws of ecology. Oikos, 101(3), 649–53.
    Comita, L. S., Muller-Landau, H. C., Aguilar, S., & Hubbell, S. P. (2010). Asymmetric density dependence shapes species abundances in a tropical tree community. Science, 329(5989), 330–2.
    Cooper, G. (1998). Generalizations in ecology: A philosophical taxonomy. Biology & Philosophy, 13(4), 555–86.
    Cottee-Jones, H. E. W., & Whittaker, R. J. (2012). Perspective: The keystone species concept: A critical appraisal. Frontiers of Biogeography, 4(3), 117–27.
    Courchamp, F., Clutton-Brock, T., & Grenfell, B. (1999). Inverse density dependence and the Allee effect. Trends in Ecology & Evolution, 14(10), 405–10.
    Courchamp, F., Dunne, J.A., Le Maho, Y., et al. (2015). Fundamental ecology is fundamental. Trends in Ecology and Evolution, 30, 916.
    Cuddington, K., Sobek-Swant, S., Crosthwaite, J. C., Lyons, D. B., & Sinclair, B. J. (2018). Probability of emerald ash borer impact for Canadian cities and North America: A mechanistic model. Biological Invasions, 20(9), 2661–77.
    Dambacher, J. M., Li, H. W., & Rossignol, P. A. (2003). Qualitative predictions in model ecosystems. Ecological Modelling, 161(1–2), 7993.
    Doak, D. F., Estes, J. A., Halpern, B. S. et al. (2008). Understanding and predicting ecological dynamics: Are major surprises inevitable? Ecology, 89(4), 952–61.
    Donohue, I., Hillebrand, H., Montoya, J. M. et al. (2016). Navigating the complexity of ecological stability. Ecology Letters, 19(9), 1172–85.
    D’Orangeville, L., Maxwell, J., Kneeshaw, D. et al. (2018). Drought timing and local climate determine the sensitivity of eastern temperate forests to drought. Global Change Biology, 24(6), 2339–51.
    Douglas, H. (2009). Reintroducing prediction to explanation. Philosophy of Science, 76(4), 444–63.
    Douglas, H., & Magnus, P. D. (2013). State of the field: Why novel prediction matters. Studies in History and Philosophy of Science, 44(4), 580–9.
    Egler, F. E. (1986). ‘Physics envy’ in ecology. Bulletin of the Ecological Society of America, 67(3), 233–5.
    Elliott-Graves, A. (2016). The problem of prediction in invasion biology. Biology & Philosophy, 31(3), 373–93.
    Elliott-Graves, A. (2018). Generality and causal Interdependence in ecology. Philosophy of Science, 85(1), 1102–114.
    Elliott-Graves, A. (2020a). The value of imprecise prediction. Philosophy, Theory, and Practice in Biology, 12 (4).
    Elliott-Graves, A. (2020b). What is a target system? Biology & Philosophy, 35(2), 128.
    Elliott-Graves, A. (2022). What are general models about? European Journal for Philosophy of Science, 12(74).
    Elliott-Graves, A., & Weisberg, M. (2014). Idealization. Philosophy Compass, 9(3), 176–85.
    Fahrig, Lenore, ‘Forty years of bias in habitat fragmentation research’, in Peter Kareiva, Michelle Marvier, and Brian Silliman (eds), Effective Conservation Science: Data Not Dogma (Oxford, 2017; online edn, Oxford Academic, 21 Dec. 2017), https://doi.org/10.1093/oso/9780198808978.003.0005
    Fischer, R., Rodig, E., & Huth, A. (2018). Consequences of a reduced number of plant functional types for the simulation of forest productivity. Forests, 9(8), 460.
    Frigg, R. (2009). Models and fiction. Synthese, 172(2), 251–68.
    Giere, R. N. (2004). How models are used to represent reality. Philosophy of science, 71(5), 742–52.
    Godfrey-Smith, P. (2006). The strategy of model-based science. Biology & Philosophy, 21(5), 725–40.
    Gonzalez, W. J. (2015). Characterization of Scientific Prediction and Its Kinds in Economics (Vol. 50, pp. 4776). Springer International.
    Grace, J. (2019). Has ecology grown up? Plant Ecology & Diversity, 12(5), 387405.
    Gurevitch, J. et al., (2018). Meta-analysis and the science of research synthesis. Nature, 555(7695), 175–82.
    Hansford, D. (2016). War on pests avoids targeting pets and dinner. Radio New Zealand. www.rnz.co.nz/news/on-the-inside/309756/war-on-pests-avoids-targetting-pets-and-dinner.
    Heger, T., Aguilar, C., Bartram, I. et al. (2021). The hierarchy-of-hypotheses approach: A synthesis method for enhancing theory development in ecology and evolution. BioScience, 71(4), 337–49.
    Heger, T., & Jeschke, J. (2014). The enemy release hypothesis as a hierarchy of hypotheses. Oikos, 123(6), 741–50. https://doi.org/10.1111/j.1600-0706.2013.01263.x.
    Hempel, C. G., & Oppenheim, P. (1948). Studies in the logic of explanation. Philosophy of Science, 15(2), 135–75.
    Hitchcock, C., & Sober, E. (2004). Prediction versus accommodation and the risk of overfitting. British Journal for the Philosophy of Science, 55, 134.
    Hooker, C. (Ed.). (2011). Philosophy of Complex Systems (Vol. 10). Elsevier.
    Hooper, D. U., Chapin, F. S. III, Ewel, J. J., et al. (2005). Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecological Monographs, 75(1), 335.
    Houlahan, J., McKinney, S., Anderson, M., & McGill, B. (2017). The priority of prediction in ecological understanding. Oikos, 126(1), 17.
    Huang, J., Mei, Z., Chen, M. et al. (2020). Population survey showing hope for population recovery of the critically endangered Yangtze finless porpoise. Biological Conservation, 241, 108315.
    Huang, S.-L., Mei, Z., Hao, Y. et al. (2017). Saving the Yangtze finless porpoise: Time is rapidly running out. Biological Conservation, 210, 40–6.
    Jeschke, J., Gómez Aparicio, L., Haider, S. et al. (2012). Support for major hypotheses in invasion biology is uneven and declining. NeoBiota, 14(0), 120.
    Johnson, K. (2007). Natural history as stamp collecting: A Brief History. Archives of Natural History, 34(2), 244–58.
    Jones, M. R. (2005). Idealization and Abstraction: A Framework. (Jones, M. R. & Cartwright, N., Eds., pp. 173217). Rodopi.
    Justus, J. (2005). Qualitative scientific modeling and loop analysis. Philosophy of Science, 72(5), 1272–86.
    Justus, J. (2006). Loop analysis and qualitative modeling: Limitations and merits. Biology & Philosophy, 21(5), 647–66.
    Justus, J. (2021). The Philosophy of Ecology: An Introduction. Cambridge University Press.
    Kaschner, K., Quick, N. J., Jewell, R., Williams, R., & Harris, C. M. (2012). Global coverage of cetacean line-transect surveys: Status quo, data gaps and future challenges. PLoS One, 7(9).
    Kaunisto, S., Ferguson, L. V., & Sinclair, B. J. (2016). Can we predict the effects of multiple stressors on insects in a changing climate? Current Opinion in Insect Science, 17, 5561.
    Kelly, J. F., & Horton, K. G. (2016). Toward a predictive macrosystems framework for migration ecology. Global Ecology and Biogeography, 25(10), 1159–65.
    Kingsland, S. (1995). Modeling Nature. University of Chicago Press.
    Kingsland, S. (2005). The Evolution of American Ecology, 1890–2000. JHU Press.
    Kitcher, P. (1981). Explanatory unification. Philosophy of Science, 48(4), 507–31.
    Klironomos, J. N. (2002). Feedback with soil biota contributes to plant rarity and invasiveness in communities. Nature, 417(6884), 6770.
    Knuuttila, T., & Loettgers, A. (2016a). Modelling as indirect representation? The Lotka– Volterra Model revisited. British Journal for the Philosophy of Science, axv055-30. https://doi.org/10.1093/bjps/axv055.
    Knuuttila, T., & Loettgers, A. (2016b). Model templates within and between disciplines: From magnets to gases – and socio-economic systems. European Journal for Philosophy of Science, 6(3), 377400. https://doi.org/10.1007/s13194-016-0145-1.
    Koricheva, J., Gurevitch, J., & Mengersen, K. (Eds.). (2013). Handbook of Meta-analysis in Ecology and Evolution. Princeton University Press.
    Kulmatiski, A., Heavilin, J., & Beard, K. H. (2011). Testing predictions of a three-species plant-soil feedback model. Journal of Ecology, 99(2), 542–50.
    Ladyman, J., Lambert, J., & Wiesner, K. (2013). What is a complex system? European Journal for Philosophy of Science, 3, 3367.
    Lange, M. (2005). Ecological laws: What would they be and why would they matter? Oikos, 110(2), 394403.
    Lawton, J. H. (1999). Are there general laws in ecology? Oikos, 84(2), 177–92.
    Levins, R. (1993). A response to Orzack and Sober: Formal analysis and the fluidity of science. The Quarterly Review of Biology, 68(4), 547–55. https://doi.org/10.1086/418302.
    Levin, S. A. (1998). Ecosystems and the biosphere as complex adaptive systems. Ecosystems, 1(5), 431–6.
    Levin, S. A. (2002). Complex adaptive systems: Exploring the known, the unknown and the unknowable. Bulletin of the American Mathematical Society, 40(1), 319.
    Levin, S. A. (2005). Self-organization and the emergence of complexity in ecological systems. BioScience, 55(12), 1075–9.
    Levins, R. (1966). The strategy of model building in population biology. American Scientist, 54(4), 421–31.
    Levy, A. (2018). Idealization and abstraction: Refining the distinction. Synthese, 13(1), 118.
    Linquist, S., Gregory, T. R., Elliott, T. A., et al. 2016. “Yes! there are resilient generalizations (or ‘laws’) in ecology.Quarterly Review of Biology, 91(2): 119–31. http://doi.org/10.1086/686809.
    Lipton, P. (2005). Testing hypotheses: Prediction and prejudice. Science, 307(5707), 219–21.
    Lockwood, J. L., Cassey, P., & Blackburn, T. (2005). The role of propagule pressure in explaining species invasions. Trends in Ecology & Evolution, 20(5), 223–8.
    Loreau, M., Naeem, S., Inchausti, P., et al. (2001). Biodiversity and ecosystem functioning: current knowledge and future challenges. Science, 294(5543), 804–8.
    Maclaurin, J., & Sterelny, K. (2008). What Is Biodiversity? University of Chicago Press.
    Marquet, P. A., Allen, A. P., Brown, J. H. et al. (2014). On theory in ecology. BioScience, 64(8), 701–10.
    Marshall, K. E., & Sinclair, B. J. (2012). Threshold temperatures mediate the impact of reduced snow cover on overwintering freeze-tolerant caterpillars. Naturwissenschaften, 99(1), 3341.
    Matthewson, J. (2011). Trade-offs in model-building: A more target-oriented approach. Studies in History and Philosophy of Science Part A, 42(2), 324–33.
    May, R.M. (1973). Stability and Complexity in Model Ecosystems. Princeton University Press.
    McCann, K. S. (2000). The diversity-stability debate. Nature, 405(6783), 228–33. https://doi.org/10.1038/35012234.
    McIntosh, R. P. (1987). Pluralism in ecology. Annual Review of Ecology and Systematics, 18(1), 321–41.
    McShea, D. W., & Brandon, R. N. (2010). Biology’s First Law. University of Chicago Press.
    Miller, J. H., & Page, S. E. (2009). Complex Adaptive Systems. Princeton University Press.
    Mills, L. S., & Doak, D. F. (1993). The keystone-species concept in ecology and conservation. BioScience, 43(4), 219–24.
    Mitchell, Sandra D. (2000). Dimensions of scientific law. Philosophy of Science 67 (2):242265.
    Mitchell, S. D. (2003). Biological Complexity and Integrative Pluralism. Cambridge University Press.
    Mitchell, S. D. (2009). Unsimple Truths. University of Chicago Press.
    Morgan, M. S. (2005). Experiments versus models: New phenomena, inference and surprise. Journal of Economic Methodology, 12(2), 317–29. http://doi.org/10.1080/13501780500086313.
    Morgan, M. S., & Morisson, M. (1999). Models as Mediators. Cambridge University Press.
    Novak, M., Wootton, J. T., Doak, D. F. et al. (2011). Predicting community responses to perturbations in the face of imperfect knowledge and network complexity. Ecology, 92(4), 836–46.
    Odenbaugh, J. (2003). Complex systems, trade‐offs, and theoretical population biology: Richard Levins’s ‘strategy of model building in population biology’ revisited. Philosophy of Science (Proceedings), 70(5), 1496–507.
    Odenbaugh, J. (2011). Complex Ecological Systems (Hooker, C., Ed., Vol. 10, pp. 421431). Elsevier.
    Orzack, S. H. (2005). Discussion: What, if anything, is ‘The strategy of model building in population biology?’ A comment on Levins (1966) and Odenbaugh (2003). Philosophy of Science, 72(3), 479–85.
    Orzack, S. H., & Sober, E. (1993). A critical assessment of Levins’s the strategy of model building in population biology (1966). The Quarterly Review of Biology, 68(4), 533–46.
    Parke, E. (2014). Experiments, simulations, and epistemic privilege. Philosophy of Science, 81(4), 516–36.
    Parker, J., Burkepile, D. E., & Hay, M. E. (2006). Opposing effects of native and exotic herbivores on plant invasions. Science, 311(5766), 1459–61.
    Parker, W. (2010). Predicting weather and climate: Uncertainty, ensembles and probability. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 41(3), 263–72.
    Parker, W., & Risbey, J. S. (2015). False precision, surprise and improved uncertainty assessment. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 373(2055), 20140453.
    Parrish, J. K., & Edelstein-Keshet, L. (1999). Complexity, pattern, and evolutionary trade-offs in animal aggregation. Science, 284(5411), 99101.
    Parrott, L. (2010). Measuring ecological complexity. Ecological Indicators, 10(6), 1069–76.
    Peters, D., Bestelmeyer, B., & Herrick, J. 2006. Disentangling complex landscapes: New insights into arid and semiarid system dynamics. BioScience, 56(6), 491501.
    Peters, R. H. (1991). A Critique for Ecology. Cambridge University Press.
    Phillips, R. P., Ibanez, I., & D’Orangeville, L. (2016). A belowground perspective on the drought sensitivity of forests: Towards improved understanding and simulation. Forest Ecology and Management, 380, 309–20.
    Pine, W. E., Pollock, K. H., Hightower, J. E., Kwak, T. J., & Rice, J. A. (2003). A review of tagging methods for estimating fish population size and components of mortality. Fisheries, 28(10), 1023.
    Potochnik, A. (2017). Idealization and the Aims of Science. University of Chicago Press.
    Proctor, J. D., & Larson, M. (2005). Ecology, complexity, and metaphor. BioScience, 55(12), 1065–8.
    Raerinne, J. (2011). Causal and mechanistic explanations in ecology. Acta Biotheoretica, 59 251–71.
    Ramsey, D. S. L., Forsyth, D. M., Veltman, C. J. et al. (2012). An approximate Bayesian algorithm for training fuzzy cognitive map models of forest responses to deer control in a New Zealand adaptive management experiment. Ecological Modelling, 240, 93104.
    Ramsey, D. S. L., & Veltman, C. J. (2005). Predicting the effects of perturbations on ecological communities: What can qualitative models offer? Journal of Animal Ecology, 74(5), 905–16.
    Ricklefs, R. E., & Miller, G. L. (2000). Ecology. Freeman and Company. Recovery Strategy for the Vancouver Island Marmot (Marmota vancouverensis) in British Columbia. Prepared for the B.C. Ministry of Environment, Victoria, BC. 25 pp.
    Rind, D. (1999). Complexity and climate. Science, 284(5411), 105–7.
    Rosenberg, A. (1989). Are generic predictions enough? Philosophy of Economics: Proceedings, Munich, July 1981 (Vol. 2). Springer Science & Business Media.
    Salmon, M. H., Earman, J., Glymour, C., & Lennox, J. G. (1992). Introduction to the Philosophy of Science. Hackett.
    Salmon, W. C. (2006). Four Decades of Scientific Explanation. University of Pittsburgh Press.
    Santana, C. (2014). Save the planet: Eliminate biodiversity. Biology & Philosophy, 29(6), 761–80.
    Scerri, E. R. (2006). The Periodic Table: Its Story and Its Significance. Oxford University Press.
    Scerri, E. R., & Worrall, J. (2001). Prediction and the periodic table. Studies in History and Philosophy of Science Part A, 32(3), 407–52.
    Schindler, D. E., & Hilborn, R. (2015). Prediction, precaution, and policy under global change. Science, 347(6225), 953–4.
    Shrader-Frechette, K. S. & McCoy, E. D. (1993). Method in ecology: strategies for conservation. New York, NY, USA: Cambridge University Press. Edited by Earl D. McCoy.
    Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106(6), 467–82.
    Sinclair, B. J., Jako Klok, C., Scott, M. B., Terblanche, J. S., & Chown, S. L. (2003). Diurnal variation in supercooling points of three species of Collembola from Cape Hallett, Antarctica. Journal of Insect Physiology, 49(11), 1049–61.
    Sinclair, B. J., Vernon, P., Jaco Klok, C., & Chown, S. L. (2003). Insects at low temperatures: An ecological perspective. Trends in Ecology & Evolution, 18(5), 257–62.
    Singer, M. C., & Parmesan, C. (2018). Lethal trap created by adaptive evolutionary response to an exotic resource. Nature, 557(7704), 238–41.
    Smith, L. A., & Stern, N. (2011). Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 369(1956), 4818–41.
    Sobek-Swant, S., Kluza, D. A., Cuddington, K., & Lyons, D. B. (2012). Potential distribution of emerald ash borer: What can we learn from ecological niche models using Maxent and GARP? Forest Ecology and Management, 281, 2331.
    Sober, E. (2011). A priori causal models of natural selection. Australasian Journal of Philosophy, 89(4), 571–89.
    Stegenga, J. (2011). Is meta-analysis the platinum standard of evidence? Studies in History and Philosophy of Biological and Biomedical Sciences, 42(4), 497507.
    Stenseth, N. C. (1999). Population cycles in voles and lemmings: Density dependence and phase dependence in a Stochastic world. Oikos, 87(3), 427–61.
    Stillman, R. A., Railsback, S. F., Giske, J., Berger, U., & Grimm, V. (2015). Making predictions in a changing world: The benefits of individual-based ecology. BioScience, 65(2), 140–50.
    Stockwell, D. (1999). The GARP modelling system: Problems and solutions to automated spatial prediction. International Journal of Geographical Information Science, 13(2), 143–58.
    Storch, D., & Gaston, K. J. (2004). Untangling ecological complexity on different scales of space and time. Basic and Applied Ecology, 5(5), 389400.
    Strevens, M. (2004). The causal and unification approaches to explanation unified – causally. Noûs, 38(1), 154–76.
    Suding, K. N., Stanley Harpole, W., Fukami, T. et al. (2013). Consequences of plant-soil feedbacks in invasion. Journal of Ecology, 101(2), 298308.
    Tang, Y., Wu, Y., Liu, K. et al. (2019). Investigating the distribution of the Yangtze finless porpoise in the Yangtze River using environmental DNA. PLoS One, 14(8).
    Têmkin, I. (2021) Phenomenological Levels in Biological and Cultural Evolution in Brooks, DiFrisco, D. S., J., & Wimsatt, W. C. (Eds.). (2021). Levels of organization in the biological sciences. MIT Press. 297316
    Thiengo, S. C., Faraco, F. A., Salgado, N. C., Cowie, R. H., & Fernandez, M. A. (2007). Rapid spread of an invasive snail in South America: The giant African snail, Achatina fulica, in Brasil. Biological Invasions, 9(6), 693702.
    Tompkins, D. M., & Veltman, C. J. (2006). Unexpected consequences of vertebrate pest control: Predictions from a four-species community model. Ecological Applications: A Publication of the Ecological Society of America, 16(3), 1050–61.
    Travis, J., Coleman, F. C., & Auster, P. J. (2014). Integrating the invisible fabric of nature into fisheries management. Proceedings of the National Academy of Sciences of the United States of America, 111(2), 581–4.
    Turchin, P. (2001). Does population ecology have general laws? Oikos, 94(1), 1726.
    Tyne, J. A., Loneragan, N. R., Johnston, D. W. et al. (2016). Evaluating monitoring methods for cetaceans. Biological Conservation, 201, 252–60.
    USDA Forest Service. (2020). Emerald Ash Borer. Emerald Ash Borer Information Network. www.emeraldashborer.info/.
    Valéry, L., Fritz, H., & Lefeuvre, J. C. (2013). Another call for the end of invasion biology. Oikos, 122(8), 1143–6.
    Valls, A., Coll, M., & Christensen, V. (2015). Keystone species: Toward an operational concept for marine biodiversity conservation. Ecological Monographs, 85(1), 2947.
    van der Putten, W. H., Bardgett, R. D., Bever, J. D. et al. (2013). Plant-soil feedbacks: The past, the present and future challenges. Journal of Ecology, 101(2), 265–76.
    Van Fraassen, B. C. (2008). Scientific Representation: Paradoxes of Perspective (Vol. 70). Oxford University Press.
    Wang, L., & Jackson, D. A. (2014). Shaping up model transferability and generality of species distribution modeling for predicting invasions: Implications from a study on Bythotrephes longimanus. Biological Invasions, 16(10), 2079–103.
    Ward, E. J., Holmes, E. E., Thorson, J. T., & Collen, B. (2014). Complexity is costly: A meta-analysis of parametric and non-parametric methods for short-term population forecasting. Oikos, 123(6), 652–61.
    Weisberg, M. (2004). Qualitative theory and chemical explanation. Philosophy of Science, 71(5), 1071–81.
    Weisberg, M. (2006). Forty years of ‘the strategy’: Levins on model building and idealization. Biology & Philosophy, 21, 623–45.
    Weisberg, M. (2007). Three kinds of idealization. The Journal of Philosophy, 639659.
    Weisberg, M. (2013). Simulation and Similarity. Oxford University Press USA.
    Weng, G., Bhalla, U. S., & Iyengar, R. (1999). Complexity in biological signaling systems. Science, 284(5411), 92–6.
    Wenger, S. J., & Olden, J. D. (2012). Assessing transferability of ecological models: An underappreciated aspect of statistical validation. Methods in Ecology and Evolution, 3(2), 260–7.
    Whitesides, G. M., & Ismagilov, R. F. (1999). Complexity in chemistry. Science, 284(5411), 8992.
    Wilcox, C. (2018, 27 August). When snails attack: The epic discovery of an ecological Phenomenon. Discover. www.discovermagazine.com/planet-earth/when-snails-attack-the-epic-discovery-of-an-ecological-phenomenon.
    Wimsatt, W. C. (1972). Complexity and organization. Proceedings of the Biennial Meeting of the Philosophy of Science Association, 1972, 6786.
    Winther, R. G. (2011). Prediction in selectionist evolutionary theory. Philosophy of Science, 76(5), 889901.
    Woodward, J. (2001). Law and explanation in biology: Invariance is the kind of stability that matters. Philosophy of Science, 68(1), 120.
    Woodward, J. (2010). Causation in biology: Stability, specificity, and the choice of levels of explanation. Biology & Philosophy, 25(3), 287318.

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