Sensitivity analysis of coexistence in ecological communities: theory and application
dc.contributor.author | Barabás, György | en_US |
dc.contributor.author | Pásztor, Liz | en_US |
dc.contributor.author | Meszéna, Géza | en_US |
dc.contributor.author | Ostling, Annette | en_US |
dc.date.accessioned | 2014-12-09T16:53:45Z | |
dc.date.available | WITHHELD_13_MONTHS | en_US |
dc.date.available | 2014-12-09T16:53:45Z | |
dc.date.issued | 2014-12 | en_US |
dc.identifier.citation | Barabás, György ; Pásztor, Liz ; Meszéna, Géza ; Ostling, Annette (2014). "Sensitivity analysis of coexistence in ecological communities: theory and application." Ecology Letters 17(12): 1479-1494. | en_US |
dc.identifier.issn | 1461-023X | en_US |
dc.identifier.issn | 1461-0248 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/109599 | |
dc.description.abstract | Sensitivity analysis, the study of how ecological variables of interest respond to changes in external conditions, is a theoretically well‐developed and widely applied approach in population ecology. Though the application of sensitivity analysis to predicting the response of species‐rich communities to disturbances also has a long history, derivation of a mathematical framework for understanding the factors leading to robust coexistence has only been a recent undertaking. Here we suggest that this development opens up a new perspective, providing advances ranging from the applied to the theoretical. First, it yields a framework to be applied in specific cases for assessing the extinction risk of community modules in the face of environmental change. Second, it can be used to determine trait combinations allowing for coexistence that is robust to environmental variation, and limits to diversity in the presence of environmental variation, for specific community types. Third, it offers general insights into the nature of communities that are robust to environmental variation. We apply recent community‐level extensions of mathematical sensitivity analysis to example models for illustration. We discuss the advantages and limitations of the method, and some of the empirical questions the theoretical framework could help answer. | en_US |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.publisher | Oxford University Press | en_US |
dc.subject.other | Robustness | en_US |
dc.subject.other | Model Analysis | en_US |
dc.subject.other | Coexistence | en_US |
dc.subject.other | Niche Theory | en_US |
dc.title | Sensitivity analysis of coexistence in ecological communities: theory and application | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/109599/1/ele12350.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/109599/2/ele12350-sup-0001-AppendixS1.pdf | |
dc.identifier.doi | 10.1111/ele.12350 | en_US |
dc.identifier.source | Ecology Letters | en_US |
dc.identifier.citedreference | McIntire, E. J. B. & Fajardo, A ( 2014 ). Facilitation as a ubiquitous driver of biodiversity. New Phytol., 201, 403 – 416. | en_US |
dc.identifier.citedreference | MacArthur, R. H. & Levins, R. ( 1967 ). Limiting similarity, convergence, and divergence of coexisting species. Am. Nat., 101, 377 – 385. | en_US |
dc.identifier.citedreference | May, R. M. ( 1973 ). Stability and Complexity in Model Ecosystems. Princeton University Press, Princeton. | en_US |
dc.identifier.citedreference | Meszéna, G., Gyllenberg, M., Pásztor, L. & Metz, J. A. J. ( 2006 ). Competitive exclusion and limiting similarity: a unified theory. Theor. Popul. Biol., 69, 68 – 87. | en_US |
dc.identifier.citedreference | Michod, R. ( 1979 ). Evolution of life histories in response to age‐specific mortality factors. Am. Nat., 113, 531 – 550. | en_US |
dc.identifier.citedreference | Muller‐Landau, H. C. ( 2010 ). The tolerance‐fecundity trade‐off and the maintenance of diversity in seed size. Proc. Natl. Acad. Sci. USA, 107, 4242 – 4247. | en_US |
dc.identifier.citedreference | Neubert, M. G. & Caswell, H. ( 1997 ). Alternatives to resilience for measuring the responses of ecological systems to perturbations. Ecology, 78, 653 – 665. | en_US |
dc.identifier.citedreference | Noon, B. R. & McKelvey, K. S. ( 1996 ). Management of the spotted owl: a case history in conservation biology. Annu. Rev. Ecol. Syst., 27, 135 – 162. | en_US |
dc.identifier.citedreference | Novak, M., Wootton, J. T., Doak, D. F., Emmerson, M., Estes, J. A. & Tinker, M. T. ( 2011 ). Predicting community responses to perturbations in the face of imperfect knowledge and network complexity. Ecology, 92, 836 – 846. | en_US |
dc.identifier.citedreference | Pásztor, L., Meszéna, G. & Kisdi, É. ( 1996 ). R 0 or r: a matter of taste ? J. Evol. Biol., 9, 511 – 518. | en_US |
dc.identifier.citedreference | Seamans, M. E., Gutiérrez, R. J., May, C. A. & Peery, M. Z. ( 1999 ). Demography of two Mexican spotted owl populations. Conserv. Biol., 13, 744 – 754. | en_US |
dc.identifier.citedreference | Silvertown, J., Franco, M. & Menges, E. ( 1993 ). Interpretation of elasticity matrices as an aid to management of plant populations of conservation. Conserv. Biol., 10, 591 – 597. | en_US |
dc.identifier.citedreference | Stouffer, D. B. & Bascompte, J. ( 2011 ). Compartmentalization increases food‐web persistence. Proc. Natl. Acad. Sci. USA, 108, 3648 – 3652. | en_US |
dc.identifier.citedreference | Szabó, P. & Meszéna, G. ( 2006 ). Limiting similarity revisited. Oikos, 112, 612 – 619. | en_US |
dc.identifier.citedreference | Szilágyi, A. & Meszéna, G. ( 2009a ). Limiting similarity and niche theory for structured populations. J. Theor. Biol., 258, 27 – 37. | en_US |
dc.identifier.citedreference | Szilágyi, A. & Meszéna, G. ( 2009b ). Two‐patch model of spatial niche segregation. Evol. Ecol., 23, 187 – 205. | en_US |
dc.identifier.citedreference | Szilágyi, A. & Meszéna, G. ( 2010 ). Coexistence in a fluctuating environment by the effect of relative nonlinearity: a minimal model. J. Theor. Biol., 267, 502 – 512. | en_US |
dc.identifier.citedreference | Tilman, D. ( 1982 ). Resource Competition and Community Structure. Princeton, New York. | en_US |
dc.identifier.citedreference | Vandermeer, J. H. ( 1975 ). Interspecific competition: a new approach to the classical theory. Science, 188, 253 – 255. | en_US |
dc.identifier.citedreference | Verdy, A. & Caswell, H. ( 2008 ). Sensitivity analysis of reactive ecological dynamics. Bull. Math. Biol., 70, 1634 – 1659. | en_US |
dc.identifier.citedreference | Yeakel, J. D., Stiefs, D., Novak, M. & Gross, T. ( 2011 ). Generalized modeling of ecological population dynamics. Theor. Ecol., 4, 179 – 194. | en_US |
dc.identifier.citedreference | Yodzis, P. ( 1988 ). The indeterminacy of ecological interactions as perceived through perturbation experiments. Ecology, 69, 508 – 515. | en_US |
dc.identifier.citedreference | Yodzis, P. ( 2000 ). Diffuse effects in food webs. Ecology, 81, 261 – 266. | en_US |
dc.identifier.citedreference | Abrams, P. A. ( 1984 ). Variability in resource consumption rates and the coexistence of competing species. Theor. Popul. Biol., 25, 106 – 124. | en_US |
dc.identifier.citedreference | Abrams, P. A. ( 2001 ). The effect of density‐independent mortality on the coexistence of exploitative competitors for renewing resources. Am. Nat., 158, 459 – 470. | en_US |
dc.identifier.citedreference | Abrams, P. A. ( 2004 ). When does periodic variation in resource growth allow robust coexistence of competing consumer species? Ecology, 85, 372 – 382. | en_US |
dc.identifier.citedreference | Abrams, P. A. & Holt, R. D. ( 2002 ). The impact of consumer‐resource cycles on the coexistence of competing consumers. Theor. Popul. Biol., 62, 281 – 295. | en_US |
dc.identifier.citedreference | Abrams, P. A. & Nakajima, M. ( 2007 ). Does competition between resources change the competition between their consumers to mutualism? variations on two themes by vandermeer. Am. Nat., 170, 744 – 757. | en_US |
dc.identifier.citedreference | Abrams, P. A., Brassil, C. E. & Holt, R. D. ( 2003 ). Dynamics and responses to mortality rates ofcompeting predators undergoing predator‐prey cycles. Theor. Popul. Biol., 64, 163 – 176. | en_US |
dc.identifier.citedreference | Adamson, M. W. & Morozov, A. ( 2013 ). When can we trust our model predictions? Unearthing structural sensitivity in biological systems. Proc. Biol. Sci., 469 (2149), 20120500. | en_US |
dc.identifier.citedreference | Adler, P. B., Ellner, S. P. & Levine, J. M. ( 2010 ). Coexistence of perennial plants: an embarrassment of niches. Ecol. Lett., 13, 1019 – 1029. | en_US |
dc.identifier.citedreference | Alexandrou, M. A., Oliveira, C., Maillard, M., McGill, R. A. R., Newton, J., Creer, S. & Taylor, M. I. ( 2011 ). Competition and phylogeny determine community structure in Müllerian co‐mimics. Nature, 469, 84 – 88. | en_US |
dc.identifier.citedreference | Allesina, S. & Pascual, M. ( 2009 ). Googling food webs: can an eigenvector measure species' importance for coextinctions? PLoS Comput. Biol., 5, e10000494. | en_US |
dc.identifier.citedreference | Armstrong, R. ( 1976 ). Fugitive species: experiments with fungi and some theoretical considerations. Ecology, 57, 953 – 963. | en_US |
dc.identifier.citedreference | Armstrong, R. & McGehee, R. ( 1980 ). Competitive exclusion. Am. Nat., 15, 151 – 170. | en_US |
dc.identifier.citedreference | Aufderheide, H., Rudolf, L., Gross, T. & Lafferty, K. D. ( 2013 ). How to predict community responses to perturbations in the face of imperfect knowledge and network complexity. Proc. Biol. Sci., 280, 2013 – 2355. | en_US |
dc.identifier.citedreference | Barabás, G. & Meszéna, G. ( 2009 ). When the exception becomes the rule: the disappearance of limiting similarity in the Lotka–Volterra model. J. Theor. Biol., 258, 89 – 94. | en_US |
dc.identifier.citedreference | Barabás, G. & Ostling, A. ( 2013 ). Community robustness in discrete‐time periodic environments. Ecol. Complex., 15, 122 – 130. | en_US |
dc.identifier.citedreference | Barabás, G., Meszéna, G. & Ostling, A. ( 2012a ). Community robustness and limiting similarity in periodic environments. Theor. Ecol., 5, 265 – 282. | en_US |
dc.identifier.citedreference | Barabás, G., Pigolotti, S., Gyllenberg, M., Dieckmann, U. & Meszéna, G. ( 2012b ). Continuous coexistence or discrete species? A new review of an old question. Evol. Ecol. Res., 14, 523 – 554. | en_US |
dc.identifier.citedreference | Barabás, G., D'Andrea, R. & Ostling, A. ( 2013 ). Species packing in nonsmooth competition models. Theor. Ecol., 6, 1 – 19. | en_US |
dc.identifier.citedreference | Barabás, G., Meszéna, G. & Ostling, A. ( 2014 ). Fixed point sensitivity analysis of interacting structured populations. Theor. Popul. Biol., 92, 97 – 106. | en_US |
dc.identifier.citedreference | Bender, E. A., Case, T. J. & Gilpin, M. E. ( 1984 ). Perturbation experiments in community ecology: Theory and practice. Ecology, 65, 1 – 13. | en_US |
dc.identifier.citedreference | Birch, L. C. ( 1953 ). Experimental background to the study of the distribution and abundance of insects. I. The influence of temperature, moisture, and food on the innate capacity for increase of three grain beetles. Ecology, 34, 698 – 711. | en_US |
dc.identifier.citedreference | Bruno, J. F., Stachowitz, J. J. & Bertness, M. D. ( 2003 ). Inclusion of facilitation into ecological theory. Trends Ecol. Evol., 18, 119 – 125. | en_US |
dc.identifier.citedreference | Case, T. J. ( 2000 ). An Illustrated Guide to Theoretical Ecology. Oxford University Press, New York. | en_US |
dc.identifier.citedreference | Caswell, H. ( 1982 ). Optimal life histories and the age‐specific costs of reproduction. J. Theor. Biol., 98, 519 – 529. | en_US |
dc.identifier.citedreference | Caswell, H. ( 1984 ). Optimal life histories and age‐specific costs of reproduction:two extensions. J. Theor. Biol., 107, 169 – 172. | en_US |
dc.identifier.citedreference | Caswell, H. ( 2001 ). Matrix population models: Construction, analysis and interpretation. 2nd edition. Sinauer Associates. | en_US |
dc.identifier.citedreference | Caswell, H. ( 2008 ). Perturbation analysis of nonlinear matrix population models. Demographic Research, 18, 59 – 115. | en_US |
dc.identifier.citedreference | Caswell, H. ( 2011 ). Matrix models and sensitivity analysis of populations classified by age and stage: a vec‐permutation matrix approach. Theor. Ecol., 5, 403 – 417. | en_US |
dc.identifier.citedreference | Cerfonteyn, M. E., Le Roux, P. C., Van Vuuren, B. J. & Born, C. ( 2011 ). Cryptic spatial aggregation of the cushion plant Azorella selago (Apiaceae) revealed by a multilocus molecular approach suggests frequent intraspecific facilitation under sub‐Antarctic conditions. Am. J. Bot., 98, 909 – 914. | en_US |
dc.identifier.citedreference | Charlesworth, B. & Leon, J. A. ( 1976 ). The relation of reproductive effort to age. Am. Nat., 110, 449 – 459. | en_US |
dc.identifier.citedreference | Chesson, P. ( 1994 ). Multispecies competition in variable environments. Theor. Popul. Biol., 45, 227 – 276. | en_US |
dc.identifier.citedreference | Chesson, P. ( 2000 ). Mechanisms of maintenance of species diversity. Annu. Rev. Ecol. Syst., 31, 343 – 366. | en_US |
dc.identifier.citedreference | Chesson, P. & Warner, R. R. ( 1981 ). Environmental variability promotes coexistence in lottery competitive systems. Am. Nat., 117, 923 – 943. | en_US |
dc.identifier.citedreference | Cordoleani, F., Nerini, D., Gauduchon, M., Morozov, A. & Poggiale, J‐C. ( 2011 ). Structural sensitivity of biological models revisited. J. Theor. Biol., 283, 82 – 91. | en_US |
dc.identifier.citedreference | Crouse, D. T., Crowder, L. B. & Caswell, H. ( 1987 ). A stage‐based population model for loggerhead sea turtles and implications for conservation. Ecology, 68, 1412 – 1423. | en_US |
dc.identifier.citedreference | Crowley, P. H. & Cox, J. J. ( 2011 ). Intraguild mutualism. Trends Ecol. Evol., 26, 627 – 633. | en_US |
dc.identifier.citedreference | D'Andrea, R., Barabás, G. & Ostling, A. ( 2013 ). Revising the tolerance‐fecundity trade‐off; or, on the consequences of discontinuous resource use for limiting similarity, species diversity, and trait dispersion. Am. Nat., 5, 403 – 417. | en_US |
dc.identifier.citedreference | Dambacher, J. M., Li, H. W. & Rossignol, P. A. ( 2002 ). Relevance of community structure in assessing indeterminacy of ecological predictions. Ecology, 83, 1372 – 1385. | en_US |
dc.identifier.citedreference | Ebenman, B. & Jonsson, T. ( 2005 ). Using community viability analysis to identify fragile systems and keystone species. Trends Ecol. Evol., 20, 568 – 575. | en_US |
dc.identifier.citedreference | Ebenman, B., Law, R. & Borrvall, C. ( 2004 ). Community viability analysis: the response of ecological communities to species loss. Ecology, 85, 2591 – 2600. | en_US |
dc.identifier.citedreference | Elias, M., Gompert, Z., Jiggins, C. & Willmott, K. ( 2008 ). Mutualistic interactions drive ecological niche convergence in a diverse butterfly community. PLOS Biology, DOI: 10.1371/journal.pbio.0060300. | en_US |
dc.identifier.citedreference | Fujiwara, M. & Caswell, H. ( 2001 ). Demography of the endangered North Atlantic right whale. Nature, 414, 537 – 541. | en_US |
dc.identifier.citedreference | Gleeson, S. K. ( 1984 ). Medawar's theory of senescence. J. Theor. Biol., 108, 475 – 479. | en_US |
dc.identifier.citedreference | Gross, K. ( 2008 ). Positive interactions among competitors can produce species‐rich communities. Ecol. Lett., 11, 929 – 936. | en_US |
dc.identifier.citedreference | Gross, T., Edwards, A. M. & Feudel, U. ( 2009 ). The invisible niche: weakly density‐dependent mortality and the coexistence of species. J. Theor. Biol., 258, 148 – 155. | en_US |
dc.identifier.citedreference | Guimerá, R., Stouffer, D. B., Sales‐Pardo, M., Leicht, E. A., Newman, M. E. J. & Amaral, L. A. N. ( 2010 ). Origin of compartmentalization in food webs. Ecology, 91, 2941 – 2951. | en_US |
dc.identifier.citedreference | Hamilton, W. D. ( 1966 ). The moulding of senescence by natural selection. J. Theor. Biol., 12, 12 – 45. | en_US |
dc.identifier.citedreference | Hochberg, M. E., Thomas, J. A. & Elmes, G. W. ( 1992 ). A modelling study of the population dynamics of a large blue butterfly, Maculinea rebeli, a parasite of red ant nests. Journal of Animal Ecology, 61, 397 – 409. | en_US |
dc.identifier.citedreference | Hunter, C. M., Caswell, H., Runge, M. C., Regehr, E. V., Amstrup, S. C. & Stirling, I. ( 2010 ). Climate change threatens polar bear populations: a stochastic demographic analysis. Ecology, 91, 2883 – 2898. | en_US |
dc.identifier.citedreference | Krause, A. E., Frank, K. A., Mason, D. M., Ulanowicz, R. E. & Taylor, W. W. ( 2003 ). Compartments revealed in food‐web structure. Nature, 426, 282 – 285. | en_US |
dc.identifier.citedreference | de Kroon, H., van Groenendael, J. & Ehrlén, J. ( 2000 ). Elasticities: a review of methods and model limitations. Ecology, 81, 607 – 618. | en_US |
dc.identifier.citedreference | Kuznetsov, Y. ( 2004 ). Elements of Applied Bifurcation Theory, 3rd edition. Springer Verlag, Berlin. | en_US |
dc.identifier.citedreference | Levin, S. A. ( 1970 ). Community equilibria and stability, and an extension of the competitive exclusion principle. Am. Nat., 104, 413 – 423. | en_US |
dc.identifier.citedreference | Levine, J. M. & Rees, M. ( 2004 ). Effects of temporal variability on rare plant persistence in annual systems. Am. Nat., 164, 350 – 363. | en_US |
dc.identifier.citedreference | Levins, R. ( 1968 ). Evolution in Changing Environments. Princeton University Press, Princeton. | en_US |
dc.identifier.citedreference | Levins, R. ( 1974 ). Qualitative analysis of partially specified systems. Ann. NY Acad. Sci., 231, 123 – 138. | en_US |
dc.identifier.citedreference | Lonnberg, K. & Eriksson, O. ( 2013 ). Rules of the seed size game: contests between large‐seeded and small‐seeded species. Oikos, 122, 1080 – 1084. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.