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Zotero.bib
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@article{mittelbach_evolution_2007,
title = {Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography},
volume = {10},
issn = {1461-023X, 1461-0248},
shorttitle = {Evolution and the latitudinal diversity gradient},
url = {http://doi.wiley.com/10.1111/j.1461-0248.2007.01020.x},
doi = {10.1111/j.1461-0248.2007.01020.x},
language = {en},
number = {4},
urldate = {2016-11-01},
journal = {Ecology Letters},
author = {Mittelbach, Gary G. and {others}},
month = apr,
year = {2007},
pages = {315--331}
}
@article{mittelbach_evolution_2007-1,
title = {Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography},
volume = {10},
issn = {1461-023X, 1461-0248},
shorttitle = {Evolution and the latitudinal diversity gradient},
url = {http://doi.wiley.com/10.1111/j.1461-0248.2007.01020.x},
doi = {10.1111/j.1461-0248.2007.01020.x},
language = {en},
number = {4},
urldate = {2016-11-01TZ},
journal = {Ecology Letters},
author = {Mittelbach, Gary G. and Schemske, Douglas W. and Cornell, Howard V. and Allen, Andrew P. and Brown, Jonathan M. and Bush, Mark B. and Harrison, Susan P. and Hurlbert, Allen H. and Knowlton, Nancy and Lessios, Harilaos A. and McCain, Christy M. and McCune, Amy R. and McDade, Lucinda A. and McPeek, Mark A. and Near, Thomas J. and Price, Trevor D. and Ricklefs, Robert E. and Roy, Kaustuv and Sax, Dov F. and Schluter, Dolph and Sobel, James M. and Turelli, Michael},
month = apr,
year = {2007},
pages = {315--331}
}
@article{doebeli_speciation_2003,
title = {Speciation along environmental gradients},
volume = {421},
copyright = {© 2003 Nature Publishing Group},
issn = {0028-0836},
url = {http://www.nature.com/nature/journal/v421/n6920/abs/nature01274.html},
doi = {10.1038/nature01274},
abstract = {Traditional discussions of speciation are based on geographical patterns of species ranges. In allopatric speciation, long-term geographical isolation generates reproductively isolated and spatially segregated descendant species. In the absence of geographical barriers, diversification is hindered by gene flow. Yet a growing body of phylogenetic and experimental data suggests that closely related species often occur in sympatry or have adjacent ranges in regions over which environmental changes are gradual and do not prevent gene flow. Theory has identified a variety of evolutionary processes that can result in speciation under sympatric conditions, with some recent advances concentrating on the phenomenon of evolutionary branching. Here we establish a link between geographical patterns and ecological processes of speciation by studying evolutionary branching in spatially structured populations. We show that along an environmental gradient, evolutionary branching can occur much more easily than in non-spatial models. This facilitation is most pronounced for gradients of intermediate slope. Moreover, spatial evolutionary branching readily generates patterns of spatial segregation and abutment between the emerging species. Our results highlight the importance of local processes of adaptive divergence for geographical patterns of speciation, and caution against pitfalls of inferring past speciation processes from present biogeographical patterns.},
language = {en},
number = {6920},
urldate = {2017-06-12TZ},
journal = {Nature},
author = {Doebeli, Michael and Dieckmann, Ulf},
month = jan,
year = {2003},
pages = {259--264}
}
@book{r_core_development_team_r:_2013,
address = {Vienna, Austria},
title = {R: {A} {Language} and {Environment} for {Statistical} {Computing}},
url = {http://www.R-project.org},
author = {{R Core Development Team}},
year = {2013}
}
@book{r_core_team_r:_2014,
address = {Vienna, Austria},
title = {R: {A} {Language} and {Environment} for {Statistical} {Computing}},
url = {http://www.R-project.org},
publisher = {R Foundation for Statistical Computing},
author = {{\{R Core Team\}}},
year = {2014}
}
@article{baym_spatiotemporal_2016,
title = {Spatiotemporal microbial evolution on antibiotic landscapes},
volume = {353},
copyright = {Copyright © 2016, American Association for the Advancement of Science},
issn = {0036-8075, 1095-9203},
url = {http://science.sciencemag.org/content/353/6304/1147},
doi = {10.1126/science.aag0822},
abstract = {A key aspect of bacterial survival is the ability to evolve while migrating across spatially varying environmental challenges. Laboratory experiments, however, often study evolution in well-mixed systems. Here, we introduce an experimental device, the microbial evolution and growth arena (MEGA)–plate, in which bacteria spread and evolved on a large antibiotic landscape (120 × 60 centimeters) that allowed visual observation of mutation and selection in a migrating bacterial front. While resistance increased consistently, multiple coexisting lineages diversified both phenotypically and genotypically. Analyzing mutants at and behind the propagating front, we found that evolution is not always led by the most resistant mutants; highly resistant mutants may be trapped behind more sensitive lineages. The MEGA-plate provides a versatile platform for studying microbial adaption and directly visualizing evolutionary dynamics.},
language = {en},
number = {6304},
urldate = {2017-06-12TZ},
journal = {Science},
author = {Baym, Michael and Lieberman, Tami D. and Kelsic, Eric D. and Chait, Remy and Gross, Rotem and Yelin, Idan and Kishony, Roy},
month = sep,
year = {2016},
pmid = {27609891},
pages = {1147--1151}
}
@article{knight_knowing_2008,
title = {Knowing {But} {Not} {Doing}: {Selecting} {Priority} {Conservation} {Areas} and the {Research}?{Implementation} {Gap}},
volume = {22},
issn = {0888-8892, 1523-1739},
shorttitle = {Knowing {But} {Not} {Doing}},
url = {http://doi.wiley.com/10.1111/j.1523-1739.2008.00914.x},
doi = {10.1111/j.1523-1739.2008.00914.x},
language = {en},
number = {3},
urldate = {2017-06-12TZ},
journal = {Conservation Biology},
author = {Knight, Andrew T. and Cowling, Richard M. and Rouget, Mathieu and Balmford, Andrew and Lombard, Amanda T. and Campbell, Bruce M.},
month = jun,
year = {2008},
pages = {610--617}
}
@article{paudyal_dirhodium-catalyzed_2016,
title = {Dirhodium-catalyzed {C}-{H} arene amination using hydroxylamines},
volume = {353},
issn = {0036-8075, 1095-9203},
url = {http://www.sciencemag.org/cgi/doi/10.1126/science.aaf8713},
doi = {10.1126/science.aaf8713},
language = {en},
number = {6304},
urldate = {2017-06-12TZ},
journal = {Science},
author = {Paudyal, M. P. and Adebesin, A. M. and Burt, S. R. and Ess, D. H. and Ma, Z. and Kurti, L. and Falck, J. R.},
month = sep,
year = {2016},
pages = {1144--1147}
}
@article{dolson_spatial_2017,
title = {Spatial resource heterogeneity increases diversity and evolutionary potential},
journal = {bioRxiv},
author = {Dolson, Emily and Perez, Samuel and Olson, Randal, and Ofria, Charles},
year = {2017}
}
@article{frenoy_second-order_nodate,
title = {Second-order cooperation: {Cooperative} offspring as a living public good arising from second-order selection on non-cooperative individuals},
issn = {1558-5646},
shorttitle = {Second-order cooperation},
url = {http://onlinelibrary.wiley.com/doi/10.1111/evo.13279/abstract},
doi = {10.1111/evo.13279},
abstract = {Switching rate between cooperating and non-cooperating genotypes is a crucial social evolution factor, often neglected by game theory-inspired theoretical and experimental frameworks. We show that the evolution of alleles increasing the mutation or phenotypic switching rates toward cooperation is in itself a social dilemma. Although cooperative offspring are often unlikely to reproduce, due to high cost of cooperation, they can be seen both as a living public good and a part of the extended parental phenotype. The competition between individuals that generate cooperators and ones that do not is often more relevant than the competition between cooperators and non-cooperators. The dilemma of second-order cooperation we describe relates directly to eusociality, but can be also interpreted as a division of labor or a soma-germline distinction. The results of our simulations shine a new light on what Darwin had already termed a “special difficulty” of evolutionary theory and describe a novel type of cooperation dynamics. This article is protected by copyright. All rights reserved},
language = {en},
journal = {Evolution},
author = {Frénoy, Antoine and Taddei, François and Misevic, Dusan},
keywords = {Cooperation, division of labour, mutation rate, mutational landscape, phenotypic switching, second-order evolution, soma-germline distinction},
pages = {n/a--n/a}
}
@article{mckinney_urbanization_2006,
series = {Urbanization},
title = {Urbanization as a major cause of biotic homogenization},
volume = {127},
issn = {0006-3207},
url = {http://www.sciencedirect.com/science/article/pii/S0006320705003563},
doi = {10.1016/j.biocon.2005.09.005},
abstract = {When measured by extent and intensity, urbanization is one of the most homogenizing of all major human activities. Cities homogenize the physical environment because they are built to meet the relatively narrow needs of just one species, our own. Also, cities are maintained for centuries in a disequilibrium state from the local natural environment by the importation of vast resources of energy and materials. Consequently, as cities expand across the planet, biological homogenization increases because the same “urban-adaptable” species become increasingly widespread and locally abundant in cities across the planet. As urbanization often produces a local gradient of disturbance, one can also observe a gradient of homogenization. Synanthropic species adapted to intensely modified built habitats at the urban core are “global homogenizers”, found in cities worldwide. However, many suburban and urban fringe habitats are occupied by native species that become regionally widespread. These suburban adapters typically consist of early successional plants and “edge” animal species such as mesopredator mammals, and ground-foraging, omnivorous and frugivorous birds that can utilize gardens, forest fragments and many other habitats available in the suburbs. A basic conservation challenge is that urban biota is often quite diverse and very abundant. The intentional and unintentional importation of species adapted to urban habitats, combined with many food resources imported for human use, often produces local species diversity and abundance that is often equal to or greater than the surrounding landscape. With the important exception of low-income areas, urban human populations often inhabit richly cultivated suburban habitats with a relatively high local floral and faunal diversity and/or abundance without awareness of the global impoverishment caused by urbanization. Equally challenging is that, because so many urban species are immigrants adapting to city habitats, urbanites of all income levels become increasingly disconnected from local indigenous species and their natural ecosystems. Urban conservation should therefore focus on promoting preservation and restoration of local indigenous species.},
number = {3},
urldate = {2016-03-27TZ},
journal = {Biological Conservation},
author = {McKinney, Michael L.},
month = jan,
year = {2006},
keywords = {City, City, Exotic species, Exotic species, Homogenization, Human population, Human population, Non-native species, Non-native species, Urbanization, Urbanization, homogenization},
pages = {247--260}
}
@article{hutchinson_paradox_1961,
title = {The {Paradox} of the {Plankton}},
volume = {95},
copyright = {Copyright © 1961 The University of Chicago},
issn = {0003-0147},
url = {http://www.jstor.org/stable/2458386},
number = {882},
urldate = {2015-02-21TZ},
journal = {The American Naturalist},
author = {Hutchinson, G. E.},
month = may,
year = {1961},
pages = {137--145}
}
@article{whitley_island_1998,
title = {The {Island} {Model} {Genetic} {Algorithm}: {On} {Separability}, {Population} {Size} and {Convergence}},
volume = {7},
shorttitle = {The {Island} {Model} {Genetic} {Algorithm}},
abstract = {Parallel Genetic Algorithms have often been reported to yield better performance than Genetic Algorithms which use a single large panmictic population. In the case of the Island Model genetic algorithm, it has been informally argued that having multiple subpopulations helps to preserve genetic diversity, since each island can potentially follow a different search trajectory through the search space. It is also possible that since linearly separable problems are often used to test Genetic Algorithms, that Island Models may simply be particularly well suited to exploiting the separable nature of the test problems. We explore this possibility by using the infinite population models of simple genetic algorithms to study how Island Models can track multiple search trajectories. We also introduce a simple model for better understanding when Island Model genetic algorithms may have an advantage when processing some test problems. We provide empirical results for both linearly separa...},
journal = {Journal of Computing and Information Technology},
author = {Whitley, Darrell and Rana, Soraya and Heckendorn, Robert B.},
year = {1998},
pages = {33--47}
}
@article{lenski_evolutionary_2003,
title = {The evolutionary origin of complex features},
volume = {423},
copyright = {© 2003 Nature Publishing Group},
issn = {0028-0836},
url = {http://www.nature.com/nature/journal/v423/n6936/abs/nature01568.html},
doi = {10.1038/nature01568},
abstract = {A long-standing challenge to evolutionary theory has been whether it can explain the origin of complex organismal features. We examined this issue using digital organisms—computer programs that self-replicate, mutate, compete and evolve. Populations of digital organisms often evolved the ability to perform complex logic functions requiring the coordinated execution of many genomic instructions. Complex functions evolved by building on simpler functions that had evolved earlier, provided that these were also selectively favoured. However, no particular intermediate stage was essential for evolving complex functions. The first genotypes able to perform complex functions differed from their non-performing parents by only one or two mutations, but differed from the ancestor by many mutations that were also crucial to the new functions. In some cases, mutations that were deleterious when they appeared served as stepping-stones in the evolution of complex features. These findings show how complex functions can originate by random mutation and natural selection.},
language = {en},
number = {6936},
urldate = {2014-04-29TZ},
journal = {Nature},
author = {Lenski, Richard E. and Ofria, Charles and Pennock, Robert T. and Adami, Christoph},
month = may,
year = {2003},
pages = {139--144}
}
@article{tilman_resource_1977,
title = {Resource {Competition} between {Plankton} {Algae}: {An} {Experimental} and {Theoretical} {Approach}},
volume = {58},
issn = {00129658},
shorttitle = {Resource {Competition} between {Plankton} {Algae}},
url = {http://www.jstor.org/stable/1935608?origin=crossref},
doi = {10.2307/1935608},
number = {2},
urldate = {2014-08-13TZ},
journal = {Ecology},
author = {Tilman, David},
month = mar,
year = {1977},
pages = {338}
}
@inproceedings{harper_spatial_2012,
address = {New York, NY, USA},
series = {{GECCO} '12},
title = {Spatial {Co}-evolution: {Quicker}, {Fitter} and {Less} {Bloated}},
isbn = {978-1-4503-1177-9},
shorttitle = {Spatial {Co}-evolution},
url = {http://doi.acm.org/10.1145/2330163.2330269},
doi = {10.1145/2330163.2330269},
urldate = {2014-04-30TZ},
booktitle = {Proceedings of the 14th {Annual} {Conference} on {Genetic} and {Evolutionary} {Computation}},
publisher = {ACM},
author = {Harper, Robin},
year = {2012},
keywords = {Bloat, gp, operator equalisation, spatial co-evolution (scalp)},
pages = {759--766}
}
@book{jones_scipy:_2001,
title = {{SciPy}: {Open} source scientific tools for {Python}},
url = {http://www.scipy.org/},
author = {Jones, Eric and Oliphant, Travis and Peterson, Pearu and others},
year = {2001}
}
@article{harpole_grassland_2007,
title = {Grassland species loss resulting from reduced niche dimension},
volume = {446},
issn = {0028-0836, 1476-4687},
url = {http://www.nature.com/doifinder/10.1038/nature05684},
doi = {10.1038/nature05684},
number = {7137},
urldate = {2014-08-13TZ},
journal = {Nature},
author = {Harpole, W. Stanley and Tilman, David},
month = apr,
year = {2007},
pages = {791--793}
}
@book{forman_landscape_1986,
title = {Landscape ecology},
isbn = {978-0-471-87037-1},
abstract = {This important new work--the first of its kind--focuses on the distribution patterns of landscape elements or ecosystems; the flows of animals, plants, energy, mineral nutrients and water; and the ecological changes in the landscape over time. Includes over 1,200 references from current ecology, geography, forestry, and wildlife biologcy literature.},
language = {en},
publisher = {Wiley},
author = {Forman, Richard T. T. and Godron, Michel},
month = feb,
year = {1986},
keywords = {Architecture / Landscape, Ecology, Human ecology, Landscape Ecology, Landscape protection, Science / Life Sciences / Ecology}
}
@inproceedings{bongard_guarding_2010,
address = {New York, NY, USA},
series = {{GECCO} '10},
title = {Guarding {Against} {Premature} {Convergence} {While} {Accelerating} {Evolutionary} {Search}},
isbn = {978-1-4503-0072-8},
url = {http://doi.acm.org/10.1145/1830483.1830504},
doi = {10.1145/1830483.1830504},
abstract = {The fundamental dichotomy in evolutionary algorithms is that between exploration and exploitation. Recently, several algorithms [8, 9, 14, 16, 17, 20] have been introduced that guard against premature convergence by allowing both exploration and exploitation to occur simultaneously. However, continuous exploration greatly increases search time. To reduce the cost of continuous exploration we combine one of these methods (the age-layered population structure (ALPS) algorithm [8, 9]) with an early stopping (ES) method [2] that greatly accelerates the time needed to evaluate a candidate solution during search. We show that this combined method outperforms an equivalent algorithm with neither ALPS nor ES, as well as regimes in which only one of these methods is used, on an evolutionary robotics task.},
urldate = {2014-08-12TZ},
booktitle = {Proceedings of the 12th {Annual} {Conference} on {Genetic} and {Evolutionary} {Computation}},
publisher = {ACM},
author = {Bongard, Josh C. and Hornby, Gregory S.},
year = {2010},
keywords = {Evolutionary algorithms, Evolutionary algorithms, evolutionary algorithms, evolutionary robotics, evolutionary robotics, premature convergence, premature convergence},
pages = {111--118}
}
@book{wickham_ggplot2:_2009,
title = {ggplot2: elegant graphics for data analysis},
isbn = {978-0-387-98140-6},
url = {http://had.co.nz/ggplot2/book},
publisher = {Springer New York},
author = {Wickham, Hadley},
year = {2009}
}
@inproceedings{mouret_using_2009,
address = {New York, NY, USA},
series = {{GECCO} '09},
title = {Using {Behavioral} {Exploration} {Objectives} to {Solve} {Deceptive} {Problems} in {Neuro}-evolution},
isbn = {978-1-60558-325-9},
url = {http://doi.acm.org/10.1145/1569901.1569988},
doi = {10.1145/1569901.1569988},
abstract = {Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with deceptive fitness functions. Most of the published approaches to stimulate exploration rely on a distance between genotypes or phenotypes; however, such distances are difficult to compute when evolving neural networks due to (1) the algorithmic complexity of graph similarity measures, (2) the competing conventions problem and (3) the complexity of most neural-network encodings. In this paper, we introduce and compare two conceptually simple, yet efficient methods to improve exploration and avoid premature convergence when evolving both the topology and the parameters of neural networks. The two proposed methods, respectively called behavioral novelty and behavioral diversity, are built on multiobjective evolutionary algorithms and on a user-defined distance between behaviors. They can be employed with any genotype. We benchmarked them on the evolution of a neural network to compute a Boolean function with a deceptive fitness. The results obtained with the two proposed methods are statistically similar to those of NEAT and substantially better than those of the control experiment and of a phenotype-based diversity mechanism.},
urldate = {2014-08-12TZ},
booktitle = {Proceedings of the 11th {Annual} {Conference} on {Genetic} and {Evolutionary} {Computation}},
publisher = {ACM},
author = {Mouret, Jean-Baptiste and Doncieux, Stéphane},
year = {2009},
keywords = {deceptive problems, deceptive problems, diversity, diversity, multiobjective evolutionary algorithm, multiobjective evolutionary algorithm, neural networks, neural networks},
pages = {627--634}
}
@article{hairston_rapid_2005,
title = {Rapid evolution and the convergence of ecological and evolutionary time},
volume = {8},
issn = {1461-0248},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1461-0248.2005.00812.x/abstract},
doi = {10.1111/j.1461-0248.2005.00812.x},
abstract = {Recent studies have documented rates of evolution of ecologically important phenotypes sufficiently fast that they have the potential to impact the outcome of ecological interactions while they are underway. Observations of this type go against accepted wisdom that ecological and evolutionary dynamics occur at very different time scales. While some authors have evaluated the rapidity of a measured evolutionary rate by comparing it to the overall distribution of measured evolutionary rates, we believe that ecologists are mainly interested in rapid evolution because of its potential to impinge on ecological processes. We therefore propose that rapid evolution be defined as a genetic change occurring rapidly enough to have a measurable impact on simultaneous ecological change. Using this definition we propose a framework for decomposing rates of ecological change into components driven by simultaneous evolutionary change and by change in a non-evolutionary factor (e.g. density dependent population dynamics, abiotic environmental change). Evolution is judged to be rapid in this ecological context if its contribution to ecological change is large relative to the contribution of other factors. We provide a worked example of this approach based on a theoretical predator–prey interaction [Abrams, P. \& Matsuda, H. (1997). Evolution, 51, 1740], and find that in this system the impact of prey evolution on predator per capita growth rate is 63\% that of internal ecological dynamics. We then propose analytical methods for measuring these contributions in field situations, and apply them to two long-term data sets for which suitable ecological and evolutionary data exist. For both data sets relatively high rates of evolutionary change have been found when measured as character change in standard deviations per generation (haldanes). For Darwin's finches evolving in response to fluctuating rainfall [Grant, P.R. \& Grant, B.R. (2002). Science, 296, 707], we estimate that evolutionary change has been more rapid than ecological change by a factor of 2.2. For a population of freshwater copepods whose life history evolves in response to fluctuating fish predation [Hairston, N.G. Jr \& Dillon, T.A. (1990). Evolution, 44, 1796], we find that evolutionary change has been about one quarter the rate of ecological change – less than in the finch example, but nevertheless substantial. These analyses support the view that in order to understand temporal dynamics in ecological processes it is critical to consider the extent to which the attributes of the system under investigation are simultaneously changing as a result of rapid evolution.},
language = {en},
number = {10},
urldate = {2014-05-01TZ},
journal = {Ecology Letters},
author = {Hairston, Nelson G. and Ellner, Stephen P. and Geber, Monica A. and Yoshida, Takehito and Fox, Jennifer A.},
month = oct,
year = {2005},
keywords = {Darwin's finches, Darwin's finches, Geospiza fortis, Geospiza fortis, Onychodiaptomus sanguineus, Onychodiaptomus sanguineus, adaptation, adaptation, bill size, bill size, diapause timing, diapause timing, ecological rate, ecological rate, evolutionary rate, evolutionary rate, haldane, haldane},
pages = {1114--1127}
}
@article{hunter_matplotlib:_2007,
title = {Matplotlib: {A} 2D graphics environment},
volume = {9},
abstract = {Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.},
number = {3},
journal = {Computing In Science \& Engineering},
author = {Hunter, J. D.},
year = {2007},
pages = {90--95}
}
@article{kadmon_integrating_2007,
title = {Integrating the effects of area, isolation, and habitat heterogeneity on species diversity: a unification of island biogeography and niche theory},
volume = {170},
issn = {1537-5323},
shorttitle = {Integrating the effects of area, isolation, and habitat heterogeneity on species diversity},
doi = {10.1086/519853},
abstract = {We present an analytical model that unifies two of the most influential theories in community ecology, namely, island biogeography and niche theory. Our model captures the main elements of both theories by incorporating the combined effects of area, isolation, stochastic colonization and extinction processes, habitat heterogeneity, and niche partitioning in a unified, demographically based framework. While classical niche theory predicts a positive relationship between species richness and habitat heterogeneity, our unified model demonstrates that area limitation and dispersal limitation (the main elements of island biogeography) may create unimodal and even negative relationships between species richness and habitat heterogeneity. We attribute this finding to the fact that increasing heterogeneity increases the potential number of species that may exist in a given area (as predicted by niche theory) but simultaneously reduces the amount of suitable area available for each species and, thus, increases the likelihood of stochastic extinction. Area limitation, dispersal limitation, and low reproduction rates intensify the latter effect by increasing the likelihood of stochastic extinction. These analytical results demonstrate that the integration of island biogeography and niche theory provides new insights about the mechanisms that regulate the diversity of ecological communities and generates unexpected predictions that could not be attained from any single theory.},
language = {eng},
number = {3},
journal = {The American Naturalist},
author = {Kadmon, Ronen and Allouche, Omri},
month = sep,
year = {2007},
pmid = {17879194},
keywords = {Ecosystem, Geography, Models, Biological, Population Dynamics, Reproduction, biodiversity},
pages = {443--454}
}
@article{lavergne_increased_2007,
title = {Increased genetic variation and evolutionary potential drive the success of an invasive grass},
volume = {104},
url = {http://www.pnas.org/content/104/10/3883.short},
number = {10},
urldate = {2017-04-16TZ},
journal = {Proceedings of the National Academy of Sciences},
author = {Lavergne, Sébastien and Molofsky, Jane},
year = {2007},
keywords = {biological invasion, genotypic diversity, multiple immigration, phenotypic plasticity, range expansion},
pages = {3883--3888}
}
@article{whigham_implicitly_2010,
title = {Implicitly {Controlling} {Bloat} in {Genetic} {Programming}},
volume = {14},
issn = {1089-778X},
doi = {10.1109/TEVC.2009.2027314},
abstract = {During the evolution of solutions using genetic programming (GP) there is generally an increase in average tree size without a corresponding increase in fitness-a phenomenon commonly referred to as bloat. Although previously studied from theoretical and practical viewpoints there has been little progress in deriving controls for bloat which do not explicitly refer to tree size. Here, the use of spatial population structure in combination with local elitist replacement is shown to reduce bloat without a subsequent loss of performance. Theoretical concepts regarding inbreeding and the role of elitism are used to support the described approach. The proposed system behavior is confirmed via extensive computer simulations on benchmark problems. The main practical result is that by placing a population on a torus, with selection defined by a Moore neighborhood and local elitist replacement, bloat can be substantially reduced without compromising performance.},
number = {2},
journal = {IEEE Transactions on Evolutionary Computation},
author = {Whigham, P.A. and Dick, G.},
month = apr,
year = {2010},
keywords = {Bloat, Genetic algorithms, Moore neighborhood, benchmark problems, bloat control, elitism, genetic algorithms, genetic programming, inbreeding, local elitist replacement, spatial population structure, spatially-structured evolutionary algorithm, tree data structures, trees (mathematics)},
pages = {173--190}
}
@article{wilmers_gray_2005,
title = {Gray {Wolves} as {Climate} {Change} {Buffers} in {Yellowstone}},
volume = {3},
url = {http://dx.doi.org/10.1371/journal.pbio.0030092},
doi = {10.1371/journal.pbio.0030092},
abstract = {Reintroducing wolves can help ameliorate the negative effects of warmer winters on other species and reveals the importance of maintaining intact food chains in the face of climate change.},
number = {4},
urldate = {2014-05-02TZ},
journal = {PLoS Biol},
author = {Wilmers, Christopher C and Getz, Wayne M},
month = mar,
year = {2005},
pages = {e92}
}
@article{fortuna_evolving_2013,
title = {Evolving {Digital} {Ecological} {Networks}},
volume = {9},
url = {http://dx.doi.org/10.1371/journal.pcbi.1002928},
doi = {10.1371/journal.pcbi.1002928},
abstract = {“It is hard to realize that the living world as we know it is just one among many possibilities” [1]. Evolving digital ecological networks are webs of interacting, self-replicating, and evolving computer programs (i.e., digital organisms) that experience the same major ecological interactions as biological organisms (e.g., competition, predation, parasitism, and mutualism). Despite being computational, these programs evolve quickly in an open-ended way, and starting from only one or two ancestral organisms, the formation of ecological networks can be observed in real-time by tracking interactions between the constantly evolving organism phenotypes. These phenotypes may be defined by combinations of logical computations (hereafter tasks) that digital organisms perform and by expressed behaviors that have evolved. The types and outcomes of interactions between phenotypes are determined by task overlap for logic-defined phenotypes and by responses to encounters in the case of behavioral phenotypes. Biologists use these evolving networks to study active and fundamental topics within evolutionary ecology (e.g., the extent to which the architecture of multispecies networks shape coevolutionary outcomes, and the processes involved).},
number = {3},
urldate = {2014-05-01TZ},
journal = {PLoS Comput Biol},
author = {Fortuna, Miguel A. and Zaman, Luis and Wagner, Aaron P. and Ofria, Charles},
month = mar,
year = {2013},
pages = {e1002928}
}
@inproceedings{goldberg_genetic_1987,
title = {Genetic algorithms with sharing for multimodal function optimization},
url = {http://books.google.com/books?hl=en&lr=&id=MYJ_AAAAQBAJ&oi=fnd&pg=PA41&dq=goldberg+richardson+1987&ots=XvmNsn-EBF&sig=a0Y1ydfezWEZJmW1Hg-75hyOEHg},
urldate = {2014-08-28TZ},
booktitle = {Genetic algorithms and their applications: {Proceedings} of the {Second} {International} {Conference} on {Genetic} {Algorithms}},
publisher = {Hillsdale, NJ: Lawrence Erlbaum},
author = {Goldberg, David E. and Richardson, Jon},
year = {1987},
pages = {41--49}
}
@article{pianka_latitudinal_1966,
title = {Latitudinal {Gradients} in {Species} {Diversity}: {A} {Review} of {Concepts}},
volume = {100},
copyright = {Copyright © 1966 The University of Chicago},
issn = {0003-0147},
shorttitle = {Latitudinal {Gradients} in {Species} {Diversity}},
url = {http://www.jstor.org/stable/2459377},
abstract = {The six major hypotheses of the control of species diversity are restated, examined, and some possible tests suggested. Although several of these mechanisms could be operating simultaneously, it is instructive to consider them separately, as this can serve to clarify our thinking, as well as assist in the choice of the best test situations for future examination.},
number = {910},
urldate = {2015-08-13TZ},
journal = {The American Naturalist},
author = {Pianka, Eric R.},
month = jan,
year = {1966},
pages = {33--46}
}
@incollection{mcgarigal_landscape_2006,
title = {Landscape {Pattern} {Metrics}},
copyright = {Copyright © 2002 John Wiley \& Sons, Ltd},
isbn = {978-0-470-05733-9},
url = {http://onlinelibrary.wiley.com/doi/10.1002/9780470057339.val006.pub2/abstract},
abstract = {Real landscapes contain complex spatial patterns in the distribution of resources that vary over time; quantifying these patterns and their dynamics is the purview of landscape pattern analysis. Landscape pattern analysis involves quantifying the spatial heterogeneity of point patterns, linear networks, continuous surface patterns, and categorical patch mosaics, and sometimes custom hybridizations of these basic models, although the focus in landscape ecology and of this article has been on patch mosaics. In this context, landscape metrics are algorithms that quantify specific spatial characteristics of patches, classes of patches, or entire landscape mosaics, or of the patch mosaic in the neighborhood of each focal cell. These metrics fall into two categories: those that quantify the composition of the map without reference to spatial attributes (i.e., the variety and abundance of patch types), and those that quantify the spatial configuration of the map (i.e., the spatial character and arrangement, position, or orientation of patches within the class or landscape). Metrics are further categorized as structural metrics that measure physical structure of the mosaic without explicit reference to a particular phenomenon, or functional metrics that require additional parameterization and measure the structure of the mosaic as it relates to a specific organism or ecological process. Not surprisingly, landscape metrics are highly sensitive to landscape definition with respect to the thematic content and resolution, spatial grain and extent, and the landscape boundary. The current use and interpretation of landscape metrics is constrained by the lack of a proper theoretical understanding of metric behavior across a wide range of landscape structure gradients, the lack of a proper spatial and/or temporal reference framework for ecologically interpreting the computed value of each metric, and the challenges of choosing a parsimonious suite of metrics for a particular application given the plethora of existing metrics. Ultimately, the definition of the landscape, the establishment of a meaningful reference framework, and the choice of metrics should be based on some hypothesis about the observed landscape pattern and what processes or constraints might be responsible for that pattern. Fortunately, programs like FRAGSTATS make the calculation of landscape metrics practical and accessible to all landscape ecologists.},
language = {en},
urldate = {2014-04-28TZ},
booktitle = {Encyclopedia of {Environmetrics}},
publisher = {John Wiley \& Sons, Ltd},
author = {McGarigal, Kevin},
year = {2006},
keywords = {FRAGSTATS, landscape heterogeneity, landscape pattern indices, landscape structure, spatial pattern}
}
@inproceedings{walker_evolutionary_2012,
address = {East Lansing, MI, USA},
title = {Evolutionary {Potential} is {Maximized} at {Intermediate} {Diversity} {Levels}},
isbn = {978-0-262-31050-5},
url = {http://mitpress.mit.edu/sites/default/files/titles/content/alife13/ch017.html},
doi = {10.7551/978-0-262-31050-5-ch017},
urldate = {2014-04-29TZ},
booktitle = {Proceedings of the 13th {International} {Conference} for {Artificial} {Life}},
publisher = {MIT Press},
author = {Walker, Bess L. and Ofria, Charles},
month = jul,
year = {2012},
pages = {116--120}
}
@inproceedings{lehman_exploiting_2008,
title = {Exploiting {Open}-{Endedness} to {Solve} {Problems} {Through} the {Search} for {Novelty}.},
url = {http://18.7.25.65/sites/default/files/titles/alife/0262287196chap43.pdf},
urldate = {2014-04-30TZ},
booktitle = {{ALIFE}},
author = {Lehman, Joel and Stanley, Kenneth O.},
year = {2008},
pages = {329--336}
}
@inproceedings{cooper_evolution_2003,
title = {Evolution of stable ecosystems in populations of digital organisms},
url = {http://books.google.com/books?hl=en&lr=&id=si_KlRbL1XoC&oi=fnd&pg=PA227&dq=info:rraWkTOgcVgJ:scholar.google.com&ots=2BF2g6i-m7&sig=b5eaLTS-qoBXy5KyVsYdC8Adp7w},
urldate = {2016-08-20TZ},
booktitle = {Artificial {Life} {VIII}: {Proceedings} of the {Eighth} {International} {Conference} on {Artificial} life},
author = {Cooper, Tim F. and Ofria, Charles},
year = {2003},
pages = {227--232}
}
@article{wilke_evolution_2001,
title = {Evolution of digital organisms at high mutation rates leads to survival of the flattest},
volume = {412},
copyright = {© 2001 Nature Publishing Group},
issn = {0028-0836},
url = {http://www.nature.com/nature/journal/v412/n6844/abs/412331a0.html},
doi = {10.1038/35085569},
abstract = {Darwinian evolution favours genotypes with high replication rates, a process called 'survival of the fittest'. However, knowing the replication rate of each individual genotype may not suffice to predict the eventual survivor, even in an asexual population. According to quasi-species theory, selection favours the cloud of genotypes, interconnected by mutation, whose average replication rate is highest. Here we confirm this prediction using digital organisms that self-replicate, mutate and evolve. Forty pairs of populations were derived from 40 different ancestors in identical selective environments, except that one of each pair experienced a 4-fold higher mutation rate. In 12 cases, the dominant genotype that evolved at the lower mutation rate achieved a replication rate {\textgreater}1.5-fold faster than its counterpart. We allowed each of these disparate pairs to compete across a range of mutation rates. In each case, as mutation rate was increased, the outcome of competition switched to favour the genotype with the lower replication rate. These genotypes, although they occupied lower fitness peaks, were located in flatter regions of the fitness surface and were therefore more robust with respect to mutations.},
language = {en},
number = {6844},
urldate = {2014-05-01TZ},
journal = {Nature},
author = {Wilke, Claus O. and Wang, Jia Lan and Ofria, Charles and Lenski, Richard E. and Adami, Christoph},
month = jul,
year = {2001},
pages = {331--333}
}
@article{stein_environmental_2014,
title = {Environmental heterogeneity as a universal driver of species richness across taxa, biomes and spatial scales},
copyright = {© 2014 John Wiley \& Sons Ltd/CNRS},
issn = {1461-0248},
url = {http://onlinelibrary.wiley.com/doi/10.1111/ele.12277/abstract},
doi = {10.1111/ele.12277},
abstract = {Environmental heterogeneity is regarded as one of the most important factors governing species richness gradients. An increase in available niche space, provision of refuges and opportunities for isolation and divergent adaptation are thought to enhance species coexistence, persistence and diversification. However, the extent and generality of positive heterogeneity–richness relationships are still debated. Apart from widespread evidence supporting positive relationships, negative and hump-shaped relationships have also been reported. In a meta-analysis of 1148 data points from 192 studies worldwide, we examine the strength and direction of the relationship between spatial environmental heterogeneity and species richness of terrestrial plants and animals. We find that separate effects of heterogeneity in land cover, vegetation, climate, soil and topography are significantly positive, with vegetation and topographic heterogeneity showing particularly strong associations with species richness. The use of equal-area study units, spatial grain and spatial extent emerge as key factors influencing the strength of heterogeneity–richness relationships, highlighting the pervasive influence of spatial scale in heterogeneity–richness studies. We provide the first quantitative support for the generality of positive heterogeneity–richness relationships across heterogeneity components, habitat types, taxa and spatial scales from landscape to global extents, and identify specific needs for future comparative heterogeneity–richness research.},
language = {en},
urldate = {2014-04-29TZ},
journal = {Ecology Letters},
author = {Stein, Anke and Gerstner, Katharina and Kreft, Holger},
month = apr,
year = {2014},
keywords = {Habitat diversity, habitat structure, meta-analysis, meta-regression, robust variance estimation, spatial scale, species diversity, topographical heterogeneity, vegetation structure},
pages = {n/a--n/a}
}
@article{haller_evolutionary_2013,
title = {Evolutionary {Branching} in {Complex} {Landscapes}.},
volume = {182},
copyright = {Copyright © 2013 The University of Chicago},
issn = {0003-0147},
url = {http://www.jstor.org/stable/10.1086/671907},
doi = {10.1086/671907},
abstract = {Abstract Divergent adaptation to different environments can promote speciation, and it is thus important to consider spatial structure in models of speciation. Earlier theoretical work, however, has been limited to particularly simple types of spatial structure (linear environmental gradients and spatially discrete metapopulations), leaving unaddressed the effects of more realistic patterns of landscape heterogeneity, such as nonlinear gradients and spatially continuous patchiness. To elucidate the consequences of such complex landscapes, we adapt an established spatially explicit individual-based model of evolutionary branching. We show that branching is most probable at intermediate levels of various types of heterogeneity and that different types of heterogeneity have, to some extent, additive effects in promoting branching. In contrast to such additivity, we find a novel refugium effect in which refugia in hostile environments provide opportunities for colonization, thus increasing the probability of branching in patchy landscapes. Effects of patchiness depend on the scale of patches relative to dispersal. Providing a needed connection to empirical research on biodiversity and conservation policy, we introduce empirically accessible spatial environmental metrics that quantitatively predict a landscape’s branching propensity.},
number = {4},
urldate = {2015-01-10TZ},
journal = {The American Naturalist},
author = {Haller, Benjamin C. and Mazzucco, Rupert, and Dieckmann, Ulf},
month = oct,
year = {2013},
pages = {E127--E141}
}
@inproceedings{grabowski_building_2014,
title = {Building on {Simplicity}: {Multi}-stage {Evolution} of {Digital} {Organisms}},
isbn = {978-0-262-32621-6},
shorttitle = {Building on {Simplicity}},
url = {http://mitpress.mit.edu/sites/default/files/titles/content/alife14/978-0-262-32621-6-ch019.pdf},
doi = {10.7551/978-0-262-32621-6-ch019},
urldate = {2015-02-05TZ},
publisher = {The MIT Press},
author = {Grabowski, Laura and Magaña, Javier},
month = jul,
year = {2014},
pages = {113--120}
}
@article{pianka_convexity_1966,
title = {Convexity, {Desert} {Lizards}, and {Spatial} {Heterogeneity}},
volume = {47},
copyright = {Copyright © 1966 Ecological Society of America},
issn = {0012-9658},
url = {http://www.jstor.org/stable/1935656},
doi = {10.2307/1935656},
abstract = {The number of lizard species in the flatland desert habitat is correlated with several different structural attributes of the vegetation. It is shown that both the horizontal and vertical components of spatial heterogeneity are correlated with the number of lizard species. The habits of the twelve component species are considered briefly as they relate to the partitioning of the biotope space. Three species are food specialists, eight display various substrate specificities, and only one species appears to be truly "convex." Two tests of the present interpretation of these results are proposed, and some speculations concerning Australian flatland desert lizards are made.},
number = {6},
urldate = {2015-08-13TZ},
journal = {Ecology},
author = {Pianka, Eric R.},
month = nov,
year = {1966},
pages = {1055--1059}
}
@article{ofria_avida:_2004,
title = {Avida: {A} {Software} {Platform} for {Research} in {Computational} {Evolutionary} {Biology}},
volume = {10},
issn = {1064-5462},
shorttitle = {Avida},
url = {http://dx.doi.org/10.1162/106454604773563612},
doi = {10.1162/106454604773563612},
abstract = {Avida is a software platform for experiments with self-replicating and evolving computer programs. It provides detailed control over experimental settings and protocols, a large array of measurement tools, and sophisticated methods to analyze and post-process experimental data. We explain the general principles on which Avida is built, as well as its main components and their interactions. We also explain how experiments are set up, carried out, and analyzed.},
number = {2},
urldate = {2014-04-22TZ},
journal = {Artificial Life},
author = {Ofria, Charles and Wilke, Claus O.},
month = mar,
year = {2004},
pages = {191--229}
}
@incollection{cantu-paz_are_2003,
series = {Lecture {Notes} in {Computer} {Science}},
title = {Are {Multiple} {Runs} of {Genetic} {Algorithms} {Better} than {One}?},
copyright = {©2003 Springer-Verlag Berlin Heidelberg},
isbn = {978-3-540-40602-0 978-3-540-45105-1},
url = {http://link.springer.com/chapter/10.1007/3-540-45105-6_94},
abstract = {There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can find acceptable solutions faster than a single run with a large population. This paper investigates this question analytically using two approaches. First, the analysis assumes that there is a certain fixed amount of computational resources available, and identifies the conditions under which it is advantageous to use multiple small runs. The second approach does not constrain the total cost and examines whether multiple properly-sized independent runs can reach the optimal solution faster than a single run. Although this paper is limited to additively-separable functions, it may be applicable to the larger class of nearly decomposable functions of interest to many GA users. The results suggest that, in most cases under the constant cost constraint, a single run with the largest population possible reaches a better solution than multiple independent runs. Similarly, a single large run reaches the global faster than multiple small runs. The findings are validated with experiments on functions of varying difficulty.},
language = {en},
number = {2723},
urldate = {2014-05-01TZ},
booktitle = {Genetic and {Evolutionary} {Computation} — {GECCO} 2003},
publisher = {Springer Berlin Heidelberg},
author = {Cantú-Paz, Erick and Goldberg, David E.},
editor = {Cantú-Paz, Erick and Foster, James A. and Deb, Kalyanmoy and Davis, Lawrence David and Roy, Rajkumar and O’Reilly, Una-May and Beyer, Hans-Georg and Standish, Russell and Kendall, Graham and Wilson, Stewart and Harman, Mark and Wegener, Joachim and Dasgupta, Dipankar and Potter, Mitch A. and Schultz, Alan C. and Dowsland, Kathryn A. and Jonoska, Natasha and Miller, Julian},
month = jan,
year = {2003},
keywords = {Algorithm Analysis and Problem Complexity, Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Artificial Intelligence (incl. Robotics), Bioinformatics, Bioinformatics, Computation by Abstract Devices, Computation by Abstract Devices, Computer Appl. in Administrative Data Processing, Computer Appl. in Administrative Data Processing, Programming Techniques, Programming Techniques},
pages = {801--812}
}
@article{allouche_areaheterogeneity_2012,
title = {Area–heterogeneity tradeoff and the diversity of ecological communities},
volume = {109},
issn = {0027-8424, 1091-6490},
url = {http://www.pnas.org/content/109/43/17495},
doi = {10.1073/pnas.1208652109},
abstract = {For more than 50 y ecologists have believed that spatial heterogeneity in habitat conditions promotes species richness by increasing opportunities for niche partitioning. However, a recent stochastic model combining the main elements of niche theory and island biogeography theory suggests that environmental heterogeneity has a general unimodal rather than a positive effect on species richness. This result was explained by an inherent tradeoff between environmental heterogeneity and the amount of suitable area available for individual species: for a given area, as heterogeneity increases, the amount of effective area available for individual species decreases, thereby reducing population sizes and increasing the likelihood of stochastic extinctions. Here we provide a comprehensive evaluation of this hypothesis. First we analyze an extensive database of breeding bird distribution in Catalonia and show that patterns of species richness, species abundance, and extinction rates are consistent with the predictions of the area–heterogeneity tradeoff and its proposed mechanisms. We then perform a metaanalysis of heterogeneity–diversity relationships in 54 published datasets and show that empirical data better fit the unimodal pattern predicted by the area–heterogeneity tradeoff than the positive pattern predicted by classic niche theory. Simulations in which species may have variable niche widths along a continuous environmental gradient are consistent with all empirical findings. The area–heterogeneity tradeoff brings a unique perspective to current theories of species diversity and has important implications for biodiversity conservation.},
language = {en},
number = {43},
urldate = {2015-11-16TZ},
journal = {Proceedings of the National Academy of Sciences},
author = {Allouche, Omri and Kalyuzhny, Michael and Moreno-Rueda, Gregorio and Pizarro, Manuel and Kadmon, Ronen},
month = oct,
year = {2012},
pmid = {23045670},
keywords = {conservation planning, conservation planning, habitat heterogeneity, habitat heterogeneity, neutral theory, neutral theory, stochastic model of community dynamics, stochastic model of community dynamics},
pages = {17495--17500}
}
@article{de_jong_analysis_1975,
title = {Analysis of the behavior of a class of genetic adaptive systems},
url = {http://deepblue.lib.umich.edu/handle/2027.42/4507},
language = {en\_US},
urldate = {2014-08-13TZ},
author = {De Jong, Kenneth Alan},
year = {1975},
keywords = {Adaptive control systems., Adaptive control systems., Artificial intelligence., Artificial intelligence., Engineering, Engineering, Genetic algorithms., Genetic algorithms.}
}
@article{friedrich_analysis_2009,
title = {Analysis of {Diversity}-{Preserving} {Mechanisms} for {Global} {Exploration}*},
volume = {17},
issn = {1063-6560},
url = {http://dx.doi.org/10.1162/evco.2009.17.4.17401},
doi = {10.1162/evco.2009.17.4.17401},
abstract = {Maintaining diversity is important for the performance of evolutionary algorithms. Diversity-preserving mechanisms can enhance global exploration of the search space and enable crossover to find dissimilar individuals for recombination. We focus on the global exploration capabilities of mutation-based algorithms. Using a simple bimodal test function and rigorous runtime analyses, we compare well-known diversity-preserving mechanisms like deterministic crowding, fitness sharing, and others with a plain algorithm without diversification. We show that diversification is necessary for global exploration, but not all mechanisms succeed in finding both optima efficiently. Our theoretical results are accompanied by additional experiments for different population sizes.},
number = {4},
urldate = {2014-04-30TZ},
journal = {Evolutionary Computation},
author = {Friedrich, Tobias and Oliveto, Pietro S. and Sudholt, Dirk and Witt, Carsten},
month = nov,
year = {2009},
pages = {455--476}
}
@article{allouche_general_2009,
title = {A general framework for neutral models of community dynamics},
volume = {12},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1461-0248.2009.01379.x/pdf},
number = {12},
urldate = {2015-11-16TZ},
journal = {Ecology letters},
author = {Allouche, Omri and Kadmon, Ronen},
year = {2009},
pages = {1287--1297}
}
@article{chow_adaptive_2004,
title = {Adaptive {Radiation} from {Resource} {Competition} in {Digital} {Organisms}},
volume = {305},
issn = {0036-8075, 1095-9203},
url = {http://www.sciencemag.org/content/305/5680/84},
doi = {10.1126/science.1096307},
abstract = {Species richness often peaks at intermediate productivity and decreases as resources become more or less abundant. The mechanisms that produce this pattern are not completely known, but several previous studies have suggested environmental heterogeneity as a cause. In experiments with evolving digital organisms and populations of fixed size, maximum species richness emerges at intermediate productivity, even in a spatially homogeneous environment, owing to frequency-dependent selection to exploit an influx of mixed resources. A diverse pool of limiting resources is sufficient to cause adaptive radiation, which is manifest by the origin and maintenance of phenotypically and phylogenetically distinct groups of organisms.},
language = {en},
number = {5680},
urldate = {2014-04-22TZ},
journal = {Science},
author = {Chow, Stephanie S. and Wilke, Claus O. and Ofria, Charles and Lenski, Richard E. and Adami, Christoph},
month = jul,
year = {2004},
pmid = {15232105},
pages = {84--86}
}
@article{schluter_evidence_2009,
title = {Evidence for {Ecological} {Speciation} and {Its} {Alternative}},
volume = {323},
issn = {0036-8075},
url = {http://science.sciencemag.org/content/323/5915/737},
doi = {10.1126/science.1160006},
number = {5915},
journal = {Science},
author = {Schluter, Dolph},
year = {2009},
pages = {737--741}
}
@article{mcdonald_pathogen_2002,
title = {Pathogen population genetics, evolutionary potential, and durable resistance},
volume = {40},
url = {http://dx.doi.org/10.1146/annurev.phyto.40.120501.101443},
doi = {10.1146/annurev.phyto.40.120501.101443},
abstract = {We hypothesize that the evolutionary potential of a pathogen population is reflected in its population genetic structure. Pathogen populations with a high evolutionary potential are more likely to overcome genetic resistance than pathogen populations with a low evolutionary potential. We propose a flexible framework to predict the evolutionary potential of pathogen populations based on analysis of their genetic structure. According to this framework, pathogens that pose the greatest risk of breaking down resistance genes have a mixed reproduction system, a high potential for genotype flow, large effective population sizes, and high mutation rates. The lowest risk pathogens are those with strict asexual reproduction, low potential for gene flow, small effective population sizes, and low mutation rates. We present examples of high-risk and low-risk pathogens. We propose general guidelines for a rational approach to breed durable resistance according to the evolutionary potential of the pathogen.},
number = {1},
urldate = {2015-03-22},
journal = {Annual Review of Phytopathology},
author = {McDonald, Bruce A. and Linde, Celeste},
year = {2002},
pmid = {12147764},
keywords = {major gene resistance, quantitative resistance, risk assessment},
pages = {349--379}
}
@book{emily_dolson_emilydolson/resource-heterogeneity:_2016,
title = {emilydolson/resource-heterogeneity: {Journal} {Submission}},
url = {https://doi.org/10.5281/zenodo.162981},
author = {Emily Dolson and Samuel Perez and Chaput, Audra},
month = oct,
year = {2016},
note = {DOI: 10.5281/zenodo.162981}
}
@article{craine_global_2013,
title = {Global diversity of drought tolerance and grassland climate-change resilience},
volume = {3},
copyright = {© 2012 Nature Publishing Group},
issn = {1758-678X},
url = {http://www.nature.com/nclimate/journal/v3/n1/full/nclimate1634.html},
doi = {10.1038/nclimate1634},
abstract = {Drought reduces plant productivity, induces widespread plant mortality and limits the geographic distribution of plant species. As climates warm and precipitation patterns shift in the future, understanding the distribution of the diversity of plant drought tolerance is central to predicting future ecosystem function and resilience to climate change. These questions are especially pressing for the world’s 11,000 grass species, which dominate a large fraction of the terrestrial biosphere, yet are poorly characterized with respect to responses to drought. Here, we show that physiological drought tolerance, which varied tenfold among 426 grass species, is well distributed both climatically and phylogenetically, suggesting most native grasslands are likely to contain a high diversity of drought tolerance. Consequently, local species may help maintain ecosystem functioning in response to changing drought regimes without requiring long-distance migrations of grass species. Furthermore, physiologically drought-tolerant species had higher rates of water and carbon dioxide exchange than intolerant species, indicating that severe droughts may generate legacies for ecosystem functioning. In all, our findings suggest that diverse grasslands throughout the globe have the potential to be resilient to drought in the face of climate change through the local expansion of drought-tolerant species.},
language = {en},
number = {1},
urldate = {2014-05-02},
journal = {Nature Climate Change},
author = {Craine, Joseph M. and Ocheltree, Troy W. and Nippert, Jesse B. and Towne, E. Gene and Skibbe, Adam M. and Kembel, Steven W. and Fargione, Joseph E.},
month = jan,
year = {2013},
keywords = {Biodiversity and ecosystems, Biological sciences, Biology, ecology},
pages = {63--67}
}
@book{cary_conference_ecosystem_2005,
address = {New York; London},
title = {Ecosystem function in heterogeneous landscapes},
isbn = {978-0-387-24091-6 0-387-24091-8 978-0-387-24089-3 0-387-24089-6 0-387-24090-X 978-0-387-24090-9},
url = {http://dx.doi.org/10.1007/b104357},
abstract = {Addresses how interactions among ecosystems affect the functioning of individual ecosystems and the larger landscape. This book details challenges of working in spatially heterogeneous systems, approaches used in other disciplines and in different ecosystem types, and the importance of spatial heterogeneity in conservation resource management.},
language = {English},
urldate = {2014-05-01},
publisher = {Springer},
author = {Cary Conference, Lovett, Gary},
year = {2005}
}
@article{fraterrigo_interactions_2006,
title = {Interactions between past land use, life-history traits and understory spatial heterogeneity},
volume = {21},
issn = {0921-2973, 1572-9761},
url = {http://link.springer.com/article/10.1007/s10980-005-5955-z},
doi = {10.1007/s10980-005-5955-z},
abstract = {Past land use has contributed to variability in the distribution of herbaceous species by reducing plant abundance and altering species’ chances of recolonizing suitable habitat. Land use may also influence plant heterogeneity by changing environmental conditions within stands. We compared the variability of understory herb abundance in southern Appalachian forests with different land-use histories to examine how past land use influenced plant heterogeneity. The cover of eleven focal species or genera was estimated and mineral soil concentrations were determined during 2001 and 2002 in eight stands that were farmed, logged, or had no disturbance history (reference) in western North Carolina. Analysis of the coefficients of variation revealed that the abundance of understory plants was more heterogeneous in disturbed stands compared with reference stands. However, when nutrient availability differences were accounted for by detrending the plant cover data, understory variability within stands declined, and no differences between disturbed and reference stands could be distinguished. This finding suggests that nutrient availability has important effects on plant heterogeneity, which depend on past land use. Species dispersal, seed size, and phenology also explained variability in the spatial heterogeneity of plants, but generally only before soil nutrient differences were statistically controlled. In addition to demonstrating that past land use has long-term effects on plant heterogeneity, these results indicate that soil nutrients may play different roles in determining vegetation patterns in historically altered and unaltered forests.},
language = {en},
number = {5},
urldate = {2015-03-22},
journal = {Landscape Ecology},
author = {Fraterrigo, Jennifer M. and Turner, Monica G. and Pearson, Scott M.},
month = jul,
year = {2006},
keywords = {Dispersal, Forestry, Forestry Management, Herbaceous plants, Land-use history, Landscape Ecology, Plant Ecology, Plant Sciences, Plant abundance, Seed size, Southern Appalachians, USA, ecology},
pages = {777--790}
}
@article{townsend_species_1997,
title = {Species traits in relation to temporal and spatial heterogeneity in streams: a test of habitat templet theory},
volume = {37},
copyright = {Blackwell Science Ltd, Oxford},
issn = {1365-2427},
shorttitle = {Species traits in relation to temporal and spatial heterogeneity in streams},
url = {http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2427.1997.00166.x/abstract},
doi = {10.1046/j.1365-2427.1997.00166.x},
abstract = {1. The habitat templet approach depends on defining templet axes appropriate to the organism(s) of interest, predicting the traits of species associated with different parts of the templet, and testing these predictions in a range of habitats whose positions in the templet have been determined. 2. In this study of thirty-five benthic insect taxa at fifty-four tributary sites of the Taieri River on the South Island of New Zealand, we chose as the temporal axis the intensity/frequency of disturbance, defined in terms of bed movement during high discharge events. As the spatial axis, we postulated that three features would provide refugia and therefore ameliorate disturbance—percentage of the bed with low shear stress, percentage of the bed made up of large substratum particles and availability of interstitial space in the bed—from which we derived a combined multivariate refugium axis. 3. More disturbed communities contained a significantly higher percentage of individuals possessing the following traits: small size, high adult mobility, habitat generalist (each predicted to confer resilience in response to disturbance), clinger, streamlined/flattened and with two or more life stages outside the stream (each predicted to confer resistance in the face of disturbance). When analyses were performed on the percentage of taxa having particular traits, the predicted positive relationships with average bed movement were found for high adult mobility and habitat generalist traits. 4. The percentage of variance in trait scores explained by intensity of disturbance was generally higher in sites with less refugia available and lower in sites further from the headwaters. The percentage of variance explained was higher in sites recently subject to a major high discharge disturbance, suggesting that disturbances tend to strengthen the pattern of preponderance of resilience/resistance traits. 5. We mapped insect taxa onto the two-dimensional templet, following Grime et al.’s triangular terrestrial plant classification. The full variety of resistance and resilience traits were represented in insect species throughout the templet, but taxa associated with more disturbed conditions generally displayed a larger number of resilience and resistance traits, combined, than taxa associated with more stable stream beds.},
language = {en},
number = {2},
urldate = {2015-03-22},
journal = {Freshwater Biology},
author = {Townsend, Colin and Dolédec, Sylvain and Scarsbrook, Mike},
month = apr,
year = {1997},
pages = {367--387}
}
@article{noauthor_morphological_nodate,
title = {Morphological traits and spatial heterogeneity of aquatic plants along sediment and depth gradients, {Lake} {Geneva}, {Switzerland}},
volume = {55},
issn = {0304-3770},
url = {http://www.sciencedirect.com/science/article/pii/S0304377096010789},
doi = {10.1016/S0304-3770(96)01078-9}
}
@article{barnett_zooplankton_2007,
title = {Zooplankton biodiversity and lake trophic state: explanations invoking resource abundance and distribution},
volume = {88},
issn = {0012-9658},
shorttitle = {{ZOOPLANKTON} {BIODIVERSITY} {AND} {LAKE} {TROPHIC} {STATE}},
url = {http://www.esajournals.org/doi/abs/10.1890/06-1056.1},
doi = {10.1890/06-1056.1},
language = {en},
number = {7},
urldate = {2014-05-01},
journal = {Ecology},
author = {Barnett, Allain. and Beisner, Beatrix E.},
month = jul,
year = {2007},
pages = {1675--1686}
}
@article{galloway_nitrogen_2004,
title = {Nitrogen cycles: past, present, and future},
volume = {70},
doi = {10.1007/s10533-004-0370-0},
journal = {Biogeochemistry},
author = {Galloway, J. N. and Dentener, F. J. and Capone, D. G. and Boyer, E. W. and Howarth, R. W. and Seitzinger, S. P. and Asner, G. P. and Cleveland, C. C. and Green, P. A. and Holland, E. A. and Karl, D. M. and Michaels, A. F. and Porter, J. H. and Townsend, A. R. and Vorosmarty, C. J.},
year = {2004},
pages = {153--226}
}
@article{chesson_mechanisms_2000,
title = {Mechanisms of {Maintenance} of {Species} {Diversity}},
volume = {31},
doi = {10.1146/annurev.ecolsys.31.1.343},
journal = {Annual Review of Ecology and Systematics},
author = {Chesson, Peter},
year = {2000},
pages = {343--366}
}
@article{jankowski_resource_2014,
title = {Resource {Availability} and {Spatial} {Heterogeneity} {Control} {Bacterial} {Community} {Response} to {Nutrient} {Enrichment} in {Lakes}},
volume = {9},
issn = {1932-6203},
url = {http://dx.plos.org/10.1371/journal.pone.0086991},
doi = {10.1371/journal.pone.0086991},
language = {en},
number = {1},
urldate = {2014-05-01},
journal = {PLoS ONE},
author = {Jankowski, KathiJo and Schindler, Daniel E. and Horner-Devine, M. Claire},
editor = {Heil, Martin},
month = jan,
year = {2014},
pages = {e86991}
}
@article{legendre_spatial_1989,
title = {Spatial {Pattern} and {Ecological} {Analysis}},
volume = {80},
doi = {10.1007/BF00048036},
journal = {Vegetatio},
author = {Legendre, P. and Fortin, Mj},
year = {1989},
pages = {107--138}
}
@article{pacala_limiting_1994,
title = {Limiting {Similarity} in {Mechanistic} and {Spatial} {Models} of {Plant} {Competition} in {Heterogeneous} {Environments}},
volume = {143},
doi = {10.1086/285602},
journal = {American Naturalist},
author = {Pacala, Sw and Tilman, D.},
year = {1994},
pages = {222--257}
}
@article{arnell_climate_2004,
title = {Climate change and global water resources: {SRES} emissions and socio-economic scenarios},
volume = {14},
doi = {10.1016/j.gloenvcha.2003.10.006},
journal = {Global Environmental Change},
author = {Arnell, Nigel W.},
year = {2004},
pages = {31--52}
}
@article{kauffman_towards_1987,
title = {Towards a general theory of adaptive walks on rugged landscapes},
volume = {128},
issn = {0022-5193},
url = {http://www.sciencedirect.com/science/article/pii/S0022519387800292},
doi = {10.1016/S0022-5193(87)80029-2},
abstract = {Adaptive evolution, to a large extent, is a complex combinatorial optimization process. In this article we take beginning steps towards developing a general theory of adaptive “walks” via fitter variants in such optimization processes. We introduce the basic idea of a space of entities, each a 1-mutant neighbor of many other entities in the space, and the idea of a fitness ascribed to each entity. Adaptive walks proceed from an initial entity, via fitter neighbors, to locally or globally optimal entities that are fitter than their neighbors. We develop a general theory for the number of local optima, lengths of adaptive walks, and the number of alternative local optima accessible from any given initial entity, for the baseline case of an uncorrelated fitness landscape. Most fitness landscapes are correlated, however. Therefore we develop parts of a universal theory of adaptation on correlated landscapes by adaptive processes that have sufficient numbers of mutations per individual to “jump beyond” the correlation lengths in the underlying landscape. In addition, we explore the statistical character of adaptive walks in two independent complex combinatorial optimization problems, that of evolving a specific cell type in model genetic networks, and that of finding good solutions to the traveling salesman problem. Surprisingly, both show similar statistical features, encouraging the hope that a general theory for adaptive walks on correlated and uncorrelated landscapes can be found. In the final section we explore two limits to the efficacy of selection. The first is new, and surprising: for a wide class of systems, as the complexity of the entities under selection increases, the local optima that are attainable fall progressively closer to the mean properties of the underlying space of entities. This may imply that complex biological systems, such as genetic regulatory systems, are “close” to the mean properties of the ensemble of genomic regulatory systems explored by evolution. The second limit shows that with increasing complexity and a fixed mutation rate, selection often becomes unable to pull an adapting population to those local optima to which connected adaptive walks via fitter variants exist. These beginning steps in theory development are applied to maturation of the immune response, and to the problem of radiation and stasis. Despite the limitations of the adaptive landscape metaphor, we believe that further development along the lines begun here will prove useful.},
number = {1},
urldate = {2016-05-16TZ},
journal = {Journal of Theoretical Biology},
author = {Kauffman, Stuart and Levin, Simon},
month = sep,
year = {1987},
pages = {11--45}
}
@article{goldsby_task-switching_2012,
title = {Task-switching costs promote the evolution of division of labor and shifts in individuality},
volume = {109},
url = {https://www.pnas.org/content/109/34/13686.full},
number = {34},
urldate = {2016-03-14TZ},
journal = {Proceedings of the National Academy of Sciences},
author = {Goldsby, Heather J. and Dornhaus, Anna and Kerr, Benjamin and Ofria, Charles},
year = {2012},
pages = {13686--13691}
}
@inproceedings{zaman_rapid_2011,
title = {Rapid host-parasite coevolution drives the production and maintenance of diversity in digital organisms},
url = {http://dl.acm.org/citation.cfm?id=2001607},
urldate = {2017-03-09TZ},
booktitle = {Proceedings of the 13th annual conference on {Genetic} and evolutionary computation},
publisher = {ACM},
author = {Zaman, Luis and Devangam, Suhas and Ofria, Charles},
year = {2011},
pages = {219--226}
}
@incollection{channon_passing_2001,
title = {Passing the {ALife} test: {Activity} statistics classify evolution in {Geb} as unbounded},
shorttitle = {Passing the {ALife} test},
url = {http://link.springer.com/chapter/10.1007/3-540-44811-X_45},
urldate = {2015-10-23TZ},
booktitle = {Advances in {Artificial} {Life}},
publisher = {Springer},
author = {Channon, Alastair},
year = {2001},
pages = {417--426}
}
@article{lehman_abandoning_2011,
title = {Abandoning {Objectives}: {Evolution} {Through} the {Search} for {Novelty} {Alone}},
volume = {19},
issn = {1063-6560},
shorttitle = {Abandoning {Objectives}},
url = {http://dx.doi.org/10.1162/EVCO_a_00025},
doi = {10.1162/EVCO_a_00025},
abstract = {In evolutionary computation, the fitness function normally measures progress toward an objective in the search space, effectively acting as an objective function. Through deception, such objective functions may actually prevent the objective from being reached. While methods exist to mitigate deception, they leave the underlying pathology untreated: Objective functions themselves may actively misdirect search toward dead ends. This paper proposes an approach to circumventing deception that also yields a new perspective on open-ended evolution. Instead of either explicitly seeking an objective or modeling natural evolution to capture open-endedness, the idea is to simply search for behavioral novelty. Even in an objective-based problem, such novelty search ignores the objective. Because many points in the search space collapse to a single behavior, the search for novelty is often feasible. Furthermore, because there are only so many simple behaviors, the search for novelty leads to increasing complexity. By decoupling open-ended search from artificial life worlds, the search for novelty is applicable to real world problems. Counterintuitively, in the maze navigation and biped walking tasks in this paper, novelty search significantly outperforms objective-based search, suggesting the strange conclusion that some problems are best solved by methods that ignore the objective. The main lesson is the inherent limitation of the objective-based paradigm and the unexploited opportunity to guide search through other means.},
number = {2},
urldate = {2014-08-12TZ},
journal = {Evol. Comput.},
author = {Lehman, Joel and Stanley, Kenneth O.},
month = jun,
year = {2011},
keywords = {Evolutionary algorithms, Evolutionary algorithms, deception, deception, neuroevolution, neuroevolution, novelty search, novelty search, open-ended evolution, open-ended evolution},
pages = {189--223}
}
@article{tenaillon_tempo_2016,
title = {Tempo and mode of genome evolution in a 50,000-generation experiment},
url = {http://biorxiv.org/content/early/2016/01/15/036806.abstract},
doi = {10.1101/036806},
abstract = {Adaptation depends on the rates, effects, and interactions of many mutations. We analyzed 264 genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The trajectories for genome evolution in populations that retained the ancestral mutation rate fit a model where most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to lines evolved under a mutation-accumulation regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions, and deletions are overrepresented in the long-term populations, supporting the inference that most fixed mutations are favored by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.},
journal = {bioRxiv},
author = {Tenaillon, Olivier and Barrick, Jeffrey E. and Ribeck, Noah and Deatherage, Daniel E. and Blanchard, Jeffrey L. and Dasgupta, Aurko and Wu, Gabriel C. and Wielgoss, Sebastien and Cruveiller, Stephane and Medigue, Claudine and Schneider, Dominique and Lenski, Richard E.},
month = jan,
year = {2016}
}
@article{le_gac_ecological_2012,
title = {Ecological and evolutionary dynamics of coexisting lineages during a long-term experiment with {Escherichia} coli},
volume = {109},
url = {http://www.pnas.org/content/109/24/9487.abstract},
doi = {10.1073/pnas.1207091109},
abstract = {Closely related organisms usually occupy similar ecological niches, leading to intense competition and even extinction. Such competition also can promote rapid phenotypic evolution and ecological divergence. This process may end with the stable occupation of distinct niches or, alternatively, may entail repeated bouts of evolution. Here we examine two Escherichia coli lineages, called L and S, that coexisted for more than 30,000 generations after diverging from a common ancestor. Both lineages underwent sustained phenotypic evolution based on global transcription and resource utilization profiles, with L seeming to encroach over time on the catabolic profile of S. Reciprocal invasion experiments with L and S clones from the same or different generations revealed evolutionary changes in their interaction, including an asymmetry that confirmed the encroachment by L on the niche of the S lineage. In general, L and S clones from the same generation showed negative frequency-dependent effects, consistent with stable coexistence. However, L clones could invade S clones from both earlier and later generations, whereas S clones could invade only L clones from earlier generations. In this system, the long-term coexistence of competing lineages evidently depended on successive rounds of evolution, rather than on initial divergence followed by a static equilibrium.},
number = {24},
journal = {Proceedings of the National Academy of Sciences},
author = {Le Gac, Mickaël and Plucain, Jessica and Hindré, Thomas and Lenski, Richard E. and Schneider, Dominique},
month = jun,
year = {2012},
pages = {9487--9492}
}
@article{turner_evolution_2015,
title = {Evolution and coexistence in response to a key innovation in a long-term evolution experiment with {Escherichia} coli},
url = {http://www.biorxiv.org/content/early/2015/06/17/020958.abstract},
doi = {10.1101/020958},
abstract = {Evolution of a novel function can greatly alter the effects of an organism on its environment. These environmental changes can, in turn, affect the further evolution of that organism and any coexisting organisms. We examine these effects and feedbacks following evolution of a novel function in the long-term evolution experiment (LTEE) with Escherichia coli. A characteristic feature of E. coli is its inability to consume citrate aerobically. However, that ability evolved in one of the LTEE populations. In this population, citrate-utilizing bacteria (Cit+) coexisted stably with another clade of bacteria that lacked the capacity to utilize citrate (Cit−). This coexistence was shaped by the evolution of a cross-feeding relationship in which Cit+ cells released the dicarboxylic acids succinate, fumarate, and malate into the medium, and Cit− cells evolved improved growth on these carbon sources, as did the Cit+ cells. Thus, the evolution of citrate consumption led to a flask-based ecosystem that went from a single limiting resource, glucose, to one with five resources either shared or partitioned between two coexisting clades. Our findings show how evolutionary novelties can change environmental conditions, thereby facilitating diversity and altering both the structure of an ecosystem and the evolutionary trajectories of coexisting organisms.},
journal = {bioRxiv},
author = {Turner, Caroline B. and Blount, Zachary D. and Mitchell, Daniel H. and Lenski, Richard E.},
month = jun,
year = {2015}
}
@article{lenski_sustained_2015,
title = {Sustained fitness gains and variability in fitness trajectories in the long-term evolution experiment with {Escherichia} coli},
volume = {282},