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@inproceedings{walker_evolutionary_2012,
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},
publisher = {MIT Press},
author = {Walker, Bess L. and Ofria, Charles},
month = jul,
year = {2012},
pages = {116--120}
}
@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, Exotic species, Homogenization, Human population, Non-native species, Urbanization},
pages = {247--260}
}
@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}
}
@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 robotics, premature convergence},
pages = {111--118}
}
@article{fountain_predictable_2016,
title = {Predictable allele frequency changes due to habitat fragmentation in the {Glanville} fritillary butterfly},
volume = {113},
issn = {0027-8424, 1091-6490},
url = {http://www.pnas.org/content/113/10/2678},
doi = {10.1073/pnas.1600951113},
abstract = {Describing the evolutionary dynamics of now extinct populations is challenging, as their genetic composition before extinction is generally unknown. The Glanville fritillary butterfly has a large extant metapopulation in the Åland Islands in Finland, but declined to extinction in the nearby fragmented southwestern (SW) Finnish archipelago in the 20th century. We genotyped museum samples for 222 SNPs across the genome, including SNPs from candidate genes and neutral regions. SW Finnish populations had significantly reduced genetic diversity before extinction, and their allele frequencies gradually diverged from those in contemporary Åland populations over 80 y. We identified 15 outlier loci among candidate SNPs, mostly related to flight, in which allele frequencies have changed more than the neutral expectation. At outlier loci, allele frequencies in SW Finland shifted in the same direction as newly established populations deviated from old local populations in contemporary Åland. Moreover, outlier allele frequencies in SW Finland resemble those in fragmented landscapes as opposed to continuous landscapes in the Baltic region. These results indicate selection for genotypes associated with good colonization capacity in the highly fragmented landscape before the extinction of the populations. Evolutionary response to habitat fragmentation may have enhanced the viability of the populations, but it did not save the species from regional extinction in the face of severe habitat loss and fragmentation. These results highlight a potentially common situation in changing environments: evolutionary changes are not strong enough to fully compensate for the direct adverse effects of environmental change and thereby rescue populations from extinction.},
language = {en},
number = {10},
urldate = {2016-03-23TZ},
journal = {Proceedings of the National Academy of Sciences},
author = {Fountain, Toby and Nieminen, Marko and Sirén, Jukka and Wong, Swee Chong and Hanski, Ilkka},
month = mar,
year = {2016},
pmid = {26903642},
keywords = {adaptive genetic response, contemporary evolution, evolution of dispersal, global change, historical DNA samples},
pages = {2678--2683}
}
@article{zaman_coevolution_2014,
title = {Coevolution drives the emergence of complex traits and promotes evolvability},
volume = {12},
url = {http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002023},
number = {12},
urldate = {2016-03-14TZ},
journal = {PLoS Biol},
author = {Zaman, Luis and Meyer, Justin R. and Devangam, Suhas and Bryson, David M. and Lenski, Richard E. and Ofria, Charles},
year = {2014},
pages = {e1002023}
}
@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}
}
@article{goldsby_evolution_2012,
title = {The evolution of temporal polyethism},
volume = {13},
url = {https://mitp-web2.mit.edu/sites/default/files/titles/content/alife13/978-0-262-31050-5-ch025.pdf},
urldate = {2016-03-14TZ},
journal = {Artificial Life},
author = {Goldsby, Heather J. and Serra, Neem and Dyer, Fred and Kerr, Benjamin and Ofria, Charles},
year = {2012},
pages = {178--185}
}
@article{tjorve_how_2010,
title = {How to resolve the {SLOSS} debate: {Lessons} from species-diversity models},
volume = {264},
issn = {0022-5193},
shorttitle = {How to resolve the {SLOSS} debate},
url = {http://www.sciencedirect.com/science/article/pii/S0022519310000767},
doi = {10.1016/j.jtbi.2010.02.009},
abstract = {The SLOSS debate – whether a single large reserve will conserve more species than several small – of the 1970s and 1980s never came to a resolution. The first rule of reserve design states that one large reserve will conserve the most species, a rule which has been heavily contested. Empirical data seem to undermine the reliance on general rules, indicating that the best strategy varies from case to case. Modeling has also been deployed in this debate. We may divide the modeling approaches to the SLOSS enigma into dynamic and static approaches. Dynamic approaches, covered by the fields of island equilibrium theory of island biogeography and metapopulation theory, look at immigration, emigration, and extinction. Static approaches, such as the one in this paper, illustrate how several factors affect the number of reserves that will save the most species.
This article approaches the effect of different factors by the application of species-diversity models. These models combine species–area curves for two or more reserves, correcting for the species overlap between them. Such models generate several predictions on how different factors affect the optimal number of reserves. The main predictions are: Fewer and larger reserves are favored by increased species overlap between reserves, by faster growth in number of species with reserve area increase, by higher minimum-area requirements, by spatial aggregation and by uneven species abundances. The effect of increased distance between smaller reserves depends on the two counteracting factors: decreased species density caused by isolation (which enhances minimum-area effect) and decreased overlap between isolates. The first decreases the optimal number of reserves; the second increases the optimal number. The effect of total reserve-system area depends both on the shape of the species–area curve and on whether overlap between reserves changes with scale.
The approach to modeling presented here has several implications for conservational strategies. It illustrates well how the SLOSS enigma can be reduced to a question of the shape of the species–area curve that is expected or generated from reserves of different sizes and a question of overlap between isolates (or reserves).},
number = {2},
urldate = {2015-05-15TZ},
journal = {Journal of Theoretical Biology},
author = {Tjorve, Even},
month = may,
year = {2010},
keywords = {Minimum-area requirements, Reserve design, Species extinction, Species overlap, Species–area relationship},
pages = {604--612}
}
@article{tjorve_how_2010-1,
title = {How to resolve the {SLOSS} debate: {Lessons} from species-diversity models},
volume = {264},
issn = {0022-5193},
shorttitle = {How to resolve the {SLOSS} debate},
url = {http://www.sciencedirect.com/science/article/pii/S0022519310000767},
doi = {10.1016/j.jtbi.2010.02.009},
abstract = {The SLOSS debate – whether a single large reserve will conserve more species than several small – of the 1970s and 1980s never came to a resolution. The first rule of reserve design states that one large reserve will conserve the most species, a rule which has been heavily contested. Empirical data seem to undermine the reliance on general rules, indicating that the best strategy varies from case to case. Modeling has also been deployed in this debate. We may divide the modeling approaches to the SLOSS enigma into dynamic and static approaches. Dynamic approaches, covered by the fields of island equilibrium theory of island biogeography and metapopulation theory, look at immigration, emigration, and extinction. Static approaches, such as the one in this paper, illustrate how several factors affect the number of reserves that will save the most species.
This article approaches the effect of different factors by the application of species-diversity models. These models combine species–area curves for two or more reserves, correcting for the species overlap between them. Such models generate several predictions on how different factors affect the optimal number of reserves. The main predictions are: Fewer and larger reserves are favored by increased species overlap between reserves, by faster growth in number of species with reserve area increase, by higher minimum-area requirements, by spatial aggregation and by uneven species abundances. The effect of increased distance between smaller reserves depends on the two counteracting factors: decreased species density caused by isolation (which enhances minimum-area effect) and decreased overlap between isolates. The first decreases the optimal number of reserves; the second increases the optimal number. The effect of total reserve-system area depends both on the shape of the species–area curve and on whether overlap between reserves changes with scale.
The approach to modeling presented here has several implications for conservational strategies. It illustrates well how the SLOSS enigma can be reduced to a question of the shape of the species–area curve that is expected or generated from reserves of different sizes and a question of overlap between isolates (or reserves).},
number = {2},
urldate = {2015-05-12TZ},
journal = {Journal of Theoretical Biology},
author = {Tjorve, Even},
month = may,
year = {2010},
keywords = {Minimum-area requirements, Reserve design, Species extinction, Species overlap, Species–area relationship},
pages = {604--612}
}
@article{hassan_ecosystems_2005,
title = {Ecosystems and human well-being: current state and trends: findings of the {Condition} and {Trends} {Working} {Group}.},
shorttitle = {Ecosystems and human well-being},
url = {http://www.sidalc.net/cgi-bin/wxis.exe/?IsisScript=CIMMYT.xis&method=post&formato=2&cantidad=1&expresion=mfn=040256},
urldate = {2015-12-10TZ},
journal = {Millennium Ecosystem Assessment},
author = {Hassan, R. and Scholes, R. and Ash, N.},
year = {2005}
}
@article{lakens_calculating_2013,
title = {Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and {ANOVAs}},
volume = {4},
issn = {1664-1078},
shorttitle = {Calculating and reporting effect sizes to facilitate cumulative science},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840331/},
doi = {10.3389/fpsyg.2013.00863},
abstract = {Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.},
urldate = {2016-02-27TZ},
journal = {Frontiers in Psychology},
author = {Lakens, Daniël},
month = nov,
year = {2013},
pmid = {24324449},
pmcid = {PMC3840331},
pages = {863}
}
@book{gaston_biodiversity:_2004,
address = {Malden, Mass.},
title = {Biodiversity: an introduction},
isbn = {1405118571 9781405118576 1444312324 9781444312324 9786612371127 6612371129},
shorttitle = {Biodiversity},
url = {http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10308466},
language = {English},
urldate = {2014-08-13TZ},
publisher = {Blackwell Publishing},
author = {Gaston, Kevin J and Spicer, John I},
year = {2004}
}
@article{bates_fitting_2015,
title = {Fitting {Linear} {Mixed}-{Effects} {Models} {Using} lme4},
volume = {67},
doi = {10.18637/jss.v067.i01},
number = {1},
journal = {Journal of Statistical Software},
author = {Bates, Douglas and Machler, Martin and Bolker, Ben and Walker, Steve},
year = {2015},
pages = {1--48}
}
@article{sgro_building_2011,
title = {Building evolutionary resilience for conserving biodiversity under climate change},
volume = {4},
copyright = {© 2010 Blackwell Publishing Ltd},
issn = {1752-4571},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1752-4571.2010.00157.x/abstract},
doi = {10.1111/j.1752-4571.2010.00157.x},
abstract = {Evolution occurs rapidly and is an ongoing process in our environments. Evolutionary principles need to be built into conservation efforts, particularly given the stressful conditions organisms are increasingly likely to experience because of climate change and ongoing habitat fragmentation. The concept of evolutionary resilience is a way of emphasizing evolutionary processes in conservation and landscape planning. From an evolutionary perspective, landscapes need to allow in situ selection and capture high levels of genetic variation essential for responding to the direct and indirect effects of climate change. We summarize ideas that need to be considered in planning for evolutionary resilience and suggest how they might be incorporated into policy and management to ensure that resilience is maintained in the face of environmental degradation.},
language = {en},
number = {2},
urldate = {2016-02-09TZ},
journal = {Evolutionary Applications},
author = {Sgro, Carla M. and Lowe, Andrew J. and Hoffmann, Ary A.},
month = mar,
year = {2011},
keywords = {adaptive potential, biodiversity, climate change, conservation, evolution, evolutionary resilience, genetic diversity},
pages = {326--337}
}
@article{biswas_genomic_2006,
title = {Genomic insights into positive selection},
volume = {22},
issn = {0168-9525},
url = {http://www.cell.com/article/S0168952506001739/abstract},
doi = {10.1016/j.tig.2006.06.005},
abstract = {The traditional way of identifying targets of adaptive evolution has been to study a few loci that one hypothesizes a priori to have been under selection. This approach is complicated because of the confounding effects that population demographic history and selection have on patterns of DNA sequence variation. In principle, multilocus analyses can facilitate robust inferences of selection at individual loci. The deluge of large-scale catalogs of genetic variation has stimulated many genome-wide scans for positive selection in several species. Here, we review some of the salient observations of these studies, identify important challenges ahead, consider the limitations of genome-wide scans for selection and discuss the potential significance of a comprehensive understanding of genomic patterns of selection for disease-related research.},
language = {English},
number = {8},
urldate = {2016-03-01TZ},
journal = {Trends in Genetics},
author = {Biswas, Shameek and Akey, Joshua M.},
month = aug,
year = {2006},
pmid = {16808986},
pages = {437--446}
}
@article{stockwell_contemporary_2003,
title = {Contemporary evolution meets conservation biology},
volume = {18},
issn = {0169-5347},
url = {http://www.sciencedirect.com/science/article/pii/S0169534702000447},
doi = {10.1016/S0169-5347(02)00044-7},
abstract = {Recent research has revealed that evolution often occurs on contemporary timescales, often within decades. Contemporary evolution is associated with the same factors that are driving the current extinction crisis: habitat loss and degradation, overharvesting and exotic species. Thus, it is relevant to many conservation situations. First, habitat fragmentation might influence the potential of a population to adapt in response environmental degradation. Second, certain harvesting strategies can result in the evolution of life-history traits, ultimately resulting in negative impacts on harvestable yield. Third, the establishment of exotic species can be influenced by their adaptive potential and our ability to limit that potential. Furthermore, contemporary evolution is of concern for intensively managed species, because it might reduce their fitness in native habitats. Ultimately, contemporary evolution is influenced by complex interactions among population size, genetic variation, the strength of selection, and gene flow, making most management scenarios unique. In a world filled with contemporary evolution, conservation efforts that ignore its implications will be less efficient and perhaps even risk prone.},
number = {2},
urldate = {2016-03-01TZ},
journal = {Trends in Ecology \& Evolution},
author = {Stockwell, Craig A. and Hendry, Andrew P. and Kinnison, Michael T.},
month = feb,
year = {2003},
pages = {94--101}
}
@article{kunin_sample_1997,
title = {Sample shape, spatial scale and species counts: {Implications} for reserve design},
volume = {82},
issn = {0006-3207},
shorttitle = {Sample shape, spatial scale and species counts},
url = {http://www.sciencedirect.com/science/article/pii/S0006320797000426},
doi = {10.1016/S0006-3207(97)00042-6},
abstract = {The optimal design of nature reserves has been a hotly debated topic for some years. One contentious issue has concerned the ideal shape of reserves, with several researchers suggesting that reserves should be as nearly circular as possible to minimize edge-related degredation and potential ‘peninsularity’ effects. This paper demonstrates an advantage to non-circular reserves: given the spatial autocorrelation of environmental conditions and species ranges, elongated samples should tend to capture a greater diversity of conditions and, consequently, a greater number of species. To test this idea, samples of 16 cells, arranged as 4 × 4 squares, 2 × 8 rectangles and 1 × 16 lines were considered in mapped plant distributions at spatial scales ranging from cells of 1 m2 to 2500 km2. Overall, elongated samples tended to capture significantly larger numbers of species than did their square counterparts, as predicted. The degree of elongated sample advantage was very similar at all but the smallest of the scales considered, suggesting that the pattern of species turnover (β-diversity) is nearly scale-independent or fractal in nature. As the advantages of elongation are largely scale-independent and the only documented disadvantages (edge effects) are very scale-dependent, the optimal shape of a reserve for species sampling should shift as a function of reserve size, with large reserves becoming increasingly elongated.},
number = {3},
urldate = {2016-03-01TZ},
journal = {Biological Conservation},
author = {Kunin, William E.},
month = dec,
year = {1997},
keywords = {SLOSS, nature reserves, shape effects, spatial autocorrelation, species richness, β-diversity},
pages = {369--377}
}
@article{tjorve_habitat_2002,
title = {Habitat size and number in multi-habitat landscapes: a model approach based on species-area curves},
volume = {25},
issn = {1600-0587},
shorttitle = {Habitat size and number in multi-habitat landscapes},
url = {http://onlinelibrary.wiley.com/doi/10.1034/j.1600-0587.2002.250103.x/abstract},
doi = {10.1034/j.1600-0587.2002.250103.x},
abstract = {This paper discusses species diversity in simple multi-habitat environments. Its main purpose is to present simple mathematical and graphical models on how landscape patterns affect species numbers. The idea is to build models of species diversity in multi-habitat landscapes by combining species-area curves for different habitats. Predictions are made about how variables such as species richness and species overlap between habitats influence the proportion of the total landscape each habitat should constitute, and how many habitats it should be divided into in order to be able to sustain the maximal number of species. Habitat size and numbers are the only factors discussed here, not habitat spatial patterns. Among the predictions are: 1) where there are differences in species diversity between habitats, optimal landscape patterns contain larger proportions of species rich habitats. 2) Species overlap between habitats shifts the optimum further towards larger proportions of species rich habitat types. 3) Species overlap also shifts the optimum towards fewer habitat types. 4) Species diversity in landscapes with large species overlap is more resistant to changes in landscape (or reserve) size. This type of model approach can produce theories useful to nature and landscape management in general, and the design of nature reserves and national parks in particular.},
language = {en},
number = {1},
urldate = {2016-03-01TZ},
journal = {Ecography},
author = {Tjørve, Even},
month = feb,
year = {2002},
pages = {17--24}
}
@article{losos_analysis_2000,
title = {Analysis of an evolutionary species–area relationship},
volume = {408},
copyright = {© 2000 Nature Publishing Group},
issn = {0028-0836},
url = {http://www.nature.com/nature/journal/v408/n6814/full/408847a0.html},
doi = {10.1038/35048558},
abstract = {Large islands typically have more species than comparable smaller islands. Ecological theories, the most influential being the equilibrium theory of island biogeography, explain the species–area relationship as the outcome of the effect of area on immigration and extinction rates. However, these theories do not apply to taxa on land masses, including continents and large islands, that generate most of their species in situ. In this case, species–area relationships should be driven by higher speciation rates in larger areas, a theory that has never been quantitatively tested. Here we show that Anolis lizards on Caribbean islands meet several expectations of the evolutionary theory. Within-island speciation exceeds immigration as a source of new species on all islands larger than 3,000 km2, whereas speciation is rare on smaller islands. Above this threshold island size, the rate of species proliferation increases with island area, a process that results principally from the positive effects of area on speciation rate. Also as expected, the slope of the species–area relationship jumps sharply above the threshold. Although Anolis lizards have been present on large Caribbean islands for over 30 million years, there are indications that the current number of species still falls below the speciation–extinction equilibrium.},
language = {en},
number = {6814},
urldate = {2016-03-01TZ},
journal = {Nature},
author = {Losos, Jonathan B. and Schluter, Dolph},
month = dec,
year = {2000},
pages = {847--850}
}
@article{connor_statistics_1979,
title = {The {Statistics} and {Biology} of the {Species}-{Area} {Relationship}},
volume = {113},
issn = {0003-0147},
url = {http://www.jstor.org/stable/2460305},
number = {6},
urldate = {2016-03-01TZ},
journal = {The American Naturalist},
author = {Connor, Edward F. and McCoy, Earl D.},
year = {1979},
pages = {791--833}
}
@article{durrett_approximating_2004,
title = {Approximating selective sweeps},
volume = {66},
issn = {0040-5809},
url = {http://www.sciencedirect.com/science/article/pii/S0040580904000607},
doi = {10.1016/j.tpb.2004.04.002},
abstract = {The fixation of advantageous mutations in a population has the effect of reducing variation in the DNA sequence near that mutation. Kaplan et al. (1989) used a three-phase simulation model to study the effect of selective sweeps on genealogies. However, most subsequent work has simplified their approach by assuming that the number of individuals with the advantageous allele follows the logistic differential equation. We show that the impact of a selective sweep can be accurately approximated by a random partition created by a stick-breaking process. Our simulation results show that ignoring the randomness when the number of individuals with the advantageous allele is small can lead to substantial errors.},
number = {2},
urldate = {2016-02-29TZ},
journal = {Theoretical Population Biology},
author = {Durrett, Richard and Schweinsberg, Jason},
month = sep,
year = {2004},
keywords = {Coalescent, Hitchhiking, Paintbox construction, Random partition, Selective sweep},
pages = {129--138}
}
@article{mcvean_structure_2007,
title = {The {Structure} of {Linkage} {Disequilibrium} {Around} a {Selective} {Sweep}},
volume = {175},
copyright = {Copyright © 2007 by the Genetics Society of America},
issn = {0016-6731, 1943-2631},
url = {http://www.genetics.org/content/175/3/1395},
doi = {10.1534/genetics.106.062828},
abstract = {The fixation of advantageous mutations by natural selection has a profound impact on patterns of linked neutral variation. While it has long been appreciated that such selective sweeps influence the frequency spectrum of nearby polymorphism, it has only recently become clear that they also have dramatic effects on local linkage disequilibrium. By extending previous results on the relationship between genealogical structure and linkage disequilibrium, I obtain simple expressions for the influence of a selective sweep on patterns of allelic association. I show that sweeps can increase, decrease, or even eliminate linkage disequilibrium (LD) entirely depending on the relative position of the selected and neutral loci. I also show the importance of the age of the neutral mutations in predicting their degree of association and describe the consequences of such results for the interpretation of empirical data. In particular, I demonstrate that while selective sweeps can eliminate LD, they generate patterns of genetic variation very different from those expected from recombination hotspots.},
language = {en},
number = {3},
urldate = {2016-02-29TZ},
journal = {Genetics},
author = {McVean, Gil},
month = mar,
year = {2007},
pmid = {17194788},
pages = {1395--1406}
}
@article{storz_invited_2005,
title = {{INVITED} {REVIEW}: {Using} genome scans of {DNA} polymorphism to infer adaptive population divergence},
volume = {14},
issn = {1365-294X},
shorttitle = {{INVITED} {REVIEW}},
url = {http://onlinelibrary.wiley.com.proxy2.cl.msu.edu/doi/10.1111/j.1365-294X.2005.02437.x/abstract},
doi = {10.1111/j.1365-294X.2005.02437.x},
abstract = {Elucidating the genetic basis of adaptive population divergence is a goal of central importance in evolutionary biology. In principle, it should be possible to identify chromosomal regions involved in adaptive divergence by screening genome-wide patterns of DNA polymorphism to detect the locus-specific signature of positive directional selection. In the case of spatially separated populations that inhabit different environments or sympatric populations that exploit different ecological niches, it is possible to identify loci that underlie divergently selected traits by comparing relative levels of differentiation among large numbers of unlinked markers. In this review I first address the question of whether diversifying selection on polygenic traits can be expected to produce predictable patterns of allelic variation at the underlying quantitative trait loci (QTL), and whether the locus-specific effects of selection can be reliably detected against the genome-wide backdrop of stochastic variability. I then review different approaches that have been developed to identify loci involved in adaptive population divergence and I discuss the relative merits of model-based approaches that rely on assumptions about population structure vs. model-free approaches that are based on empirical distributions of summary statistics. Finally, I consider the evolutionary and functional insights that might be gained by conducting genome scans for loci involved in adaptive population divergence.},
language = {en},
number = {3},
urldate = {2016-02-29TZ},
journal = {Molecular Ecology},
author = {Storz, Jay F.},
month = mar,
year = {2005},
keywords = {QTL, adaptation, genomics, natural selection, neutral theory, population genomics, positive selection, speciation},
pages = {671--688}
}
@article{gavrilets_dynamic_2005,
title = {Dynamic patterns of adaptive radiation},
volume = {102},
issn = {0027-8424, 1091-6490},
url = {http://www.pnas.org/content/102/50/18040},
doi = {10.1073/pnas.0506330102},
abstract = {Adaptive radiation is defined as the evolution of ecological and phenotypic diversity within a rapidly multiplying lineage. When it occurs, adaptive radiation typically follows the colonization of a new environment or the establishment of a “key innovation,” which opens new ecological niches and/or new paths for evolution. Here, we take advantage of recent developments in speciation theory and modern computing power to build and explore a large-scale, stochastic, spatially explicit, individual-based model of adaptive radiation driven by adaptation to multidimensional ecological niches. We are able to model evolutionary dynamics of populations with hundreds of thousands of sexual diploid individuals over a time span of 100,000 generations assuming realistic mutation rates and allowing for genetic variation in a large number of both selected and neutral loci. Our results provide theoretical support and explanation for a number of empirical patterns including “area effect,” “overshooting effect,” and “least action effect,” as well as for the idea of a “porous genome.” Our findings suggest that the genetic architecture of traits involved in the most spectacular radiations might be rather simple. We show that a great majority of speciation events are concentrated early in the phylogeny. Our results emphasize the importance of ecological opportunity and genetic constraints in controlling the dynamics of adaptive radiation.},
language = {en},
number = {50},
urldate = {2016-02-29TZ},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
author = {Gavrilets, Sergey and Vose, Aaron},
month = dec,
year = {2005},
pmid = {16330783},
keywords = {diversification, ecological, modeling, parapatric, speciation},
pages = {18040--18045}
}
@article{socolar_how_2016,
title = {How {Should} {Beta}-{Diversity} {Inform} {Biodiversity} {Conservation}?},
volume = {31},
issn = {0169-5347},
url = {http://www.cell.com/article/S016953471500289X/abstract},
doi = {10.1016/j.tree.2015.11.005},
language = {English},
number = {1},
urldate = {2016-02-12TZ},
journal = {Trends in Ecology \& Evolution},
author = {Socolar, Jacob B. and Gilroy, James J. and Kunin, William E. and Edwards, David P.},
month = jan,
year = {2016},
keywords = {alpha-diversity, beta-diversity, biodiversity conservation, biotic homogenization, diversity partitioning, gamma-diversity, pairwise dissimilarities, spatial scaling, species–area relationships},
pages = {67--80}
}
@article{debinski_review:_2000,
title = {Review: {A} {Survey} and {Overview} of {Habitat} {Fragmentation} {Experiments}},
volume = {14},
issn = {0888-8892},
shorttitle = {Review},
url = {http://www.jstor.org/stable/2641600},
abstract = {Habitat destruction and fragmentation are the root causes of many conservation problems. We conducted a literature survey and canvassed the ecological community to identify experimental studies of terrestrial habitat fragmentation and to determine whether consistent themes were emerging from these studies. Our survey revealed 20 fragmentation experiments worldwide. Most studies focused on effects of fragmentation on species richness or on the abundance(s) of particular species. Other important themes were the effect of fragmentation in interspecific interactions, the role of corridors and landscape connectivity in individual movements and species richness, and the influences of dge effects on ecosystem services. Our comparisons showed a remarkable lack of consistency in results across studies, especially with regard to species richness and abundance relative to fragment size. Experiments with arthropods showed the best fit with theoretical expectations of greater species richness on larger fragments. Highly mobile taxa such as birds and mammals, early-successional plant species, long-lived species, and generalist predators did not respond in the "expected" manner. Reasons for these discrepancies included edge effects, competitive release in the habitat fragments, and the spatial scale of the experiments. One of the more consistently supported hypotheses was that movement and species richness are positively affected by corridors and connectivity, respectively. Transient effects dominated many systems; for example, crowding of individuals on fragments commonly was observed after fragmentation, followed by a relaxation toward lower abundance in subsequent years. The three long-term studies (⩾14 years) revealed strong patterns that would have been missed in short-term investigations. Our results emphasize the wide range of species-specific responses to fragmentation, the need for elucidation of behavioral mechanisms affecting these responses, and the potential for changing responses to fragmentation over time.},
number = {2},
urldate = {2016-02-12TZ},
journal = {Conservation Biology},
author = {Debinski, Diane M. and Holt, Robert D.},
year = {2000},
pages = {342--355}
}
@article{rosch_biodiversity_2015,
title = {Biodiversity conservation across taxa and landscapes requires many small as well as single large habitat fragments},
volume = {179},
issn = {0029-8549, 1432-1939},
url = {http://link.springer.com/article/10.1007/s00442-015-3315-5},
doi = {10.1007/s00442-015-3315-5},
abstract = {Agricultural intensification has been shown to reduce biodiversity through processes such as habitat degradation and fragmentation. We tested whether several small or single large habitat fragments (re-visiting the ‘single large or several small’ debate) support more species across a wide range of taxonomic groups (plants, leafhoppers, true bugs, snails). Our study comprised 14 small ({\textless}1 ha) and 14 large (1.5–8 ha) fragments of calcareous grassland in Central Germany along orthogonal gradients of landscape complexity and habitat connectivity. Each taxon was sampled on six plots per fragment. Across taxa, species richness did not differ between large and small fragments, whereas species-area accumulation curves showed that both overall and specialist species richness was much higher on several small fragments of calcareous grassland than on few large fragments. On average, 85 \% of the overall species richness was recorded on all small fragments taken together (4.6 ha), whereas the two largest ones (15.1 ha) only accounted for 37 \% of the species. This could be due to the greater geographic extent covered by many small fragments. However, community composition differed strongly between large and small fragments, and some of the rarest specialist species appeared to be confined to large fragments. The surrounding landscape did not show any consistent effects on species richness and community composition. Our results show that both single large and many small fragments are needed to promote landscape-wide biodiversity across taxa. We therefore question the focus on large fragments only and call for a new diversified habitat fragmentation strategy for biodiversity conservation.},
language = {en},
number = {1},
urldate = {2016-02-12TZ},
journal = {Oecologia},
author = {Rösch, Verena and Tscharntke, Teja and Scherber, Christoph and Batáry, Péter},
month = apr,
year = {2015},
keywords = {Calcareous grasslands, Community composition, Ecology, Habitat fragmentation, Hydrology/Water Resources, Invertebrates, Isolation, Plant Sciences},
pages = {209--222}
}
@article{kinnison_eco-evolutionary_2007,
title = {Eco-evolutionary conservation biology: contemporary evolution and the dynamics of persistence},
volume = {21},
issn = {1365-2435},
shorttitle = {Eco-evolutionary conservation biology},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2435.2007.01278.x/abstract},
doi = {10.1111/j.1365-2435.2007.01278.x},
abstract = {* 1Natural and human mediated perturbations present challenges to the fate of populations but fuel contemporary evolution (evolution over humanly observable time-scales). Here we ask if such evolution is sufficient to make the difference between population extinction and persistence.
* 2To answer this question requires a shift from the usual focus on trait evolution to the emergent ‘eco-evolutionary’ dynamics that arise through interactions of evolution, its fitness consequences and population abundance.
* 3By combining theory, models and insights from empirical studies of contemporary evolution, we provide an assessment of three contexts: persistence of populations in situ, persistence of colonising populations, and persistence under gene flow and in metapopulations.
* 4Contemporary evolution can likely rescue some, but not all, populations facing environmental change. Populations may fail partly because of the demographic cost of selection.
* 5Contemporary evolution that initiates positive population growth, such as selective founding processes, may create a ‘persistence vortex’ that overcomes the problems of small populations.
* 6Complex, even shifting, relationships between gene flow and adaptation may aid the persistence of subpopulations as well as the persistence and expansion of metapopulations.
* 7An eco-evolutionary perspective suggests that we expand our focus beyond the acute problems of threatened populations and growing invasions, to consider how contemporary evolutionary mechanics contribute to such problems in the first place or affect their resolution.},
language = {en},
number = {3},
urldate = {2016-02-10TZ},
journal = {Functional Ecology},
author = {Kinnison, Michael T. and Hairston, Nelson G.},
month = jun,
year = {2007},
keywords = {extinction, invasion, metapopulation, rapid evolution, regulation},
pages = {444--454}
}
@book{whittaker_island_2007,
title = {Island {Biogeography}: {Ecology}, {Evolution}, and {Conservation}},
isbn = {9780198566113},
shorttitle = {Island {Biogeography}},
abstract = {Island biogeography is the study of the distribution and dynamics of species in island environments. Due to their isolation from more widespread continental species, islands are ideal places for unique species to evolve, but they are also places of concentrated extinction. Not surprisingly, they are widely studied by ecologists, conservationists and evolutionary biologists alike. There is no other recent textbook devoted solely to island biogeography, and a synthesis of the many recent advances is now overdue. This second edition builds on the success and reputation of the first, documenting the recent advances in this exciting field and explaining how islands have been used as natural laboratories in developing and testing ecological and evolutionary theories. In addition, the book describes the main processes of island formation, development and eventual demise, and explains the relevance of island environmental history to island biogeography. The authors demonstrate the huge significance of islands as hotspots of biodiversity, and as places from which disproportionate numbers of species have been extinguished by human action in historical time. Many island species are today threatened with extinction, and this work examines both the chief threats to their persistence and some of the mitigation measures that can be put in play with conservation strategies tailored to islands.},
language = {en},
publisher = {OUP Oxford},
author = {Whittaker, Robert J. and Fernandez-Palacios, Jose Maria},
year = {2007},
keywords = {Nature / Environmental Conservation \& Protection, Science / Life Sciences / Biology, Science / Life Sciences / Botany, Science / Life Sciences / Ecology, Science / Life Sciences / Evolution, Science / Life Sciences / Zoology / General}
}
@article{forest_preserving_2007,
title = {Preserving the evolutionary potential of floras in biodiversity hotspots},
volume = {445},
copyright = {© 2007 Nature Publishing Group},
issn = {0028-0836},
url = {http://www.nature.com/nature/journal/v445/n7129/full/nature05587.html},
doi = {10.1038/nature05587},
abstract = {One of the biggest challenges for conservation biology is to provide conservation planners with ways to prioritize effort. Much attention has been focused on biodiversity hotspots. However, the conservation of evolutionary process is now also acknowledged as a priority in the face of global change. Phylogenetic diversity (PD) is a biodiversity index that measures the length of evolutionary pathways that connect a given set of taxa. PD therefore identifies sets of taxa that maximize the accumulation of 'feature diversity'. Recent studies, however, concluded that taxon richness is a good surrogate for PD. Here we show taxon richness to be decoupled from PD, using a biome-wide phylogenetic analysis of the flora of an undisputed biodiversity hotspot—the Cape of South Africa. We demonstrate that this decoupling has real-world importance for conservation planning. Finally, using a database of medicinal and economic plant use, we demonstrate that PD protection is the best strategy for preserving feature diversity in the Cape. We should be able to use PD to identify those key regions that maximize future options, both for the continuing evolution of life on Earth and for the benefit of society.},
language = {en},
number = {7129},
urldate = {2016-02-09TZ},
journal = {Nature},
author = {Forest, Félix and Grenyer, Richard and Rouget, Mathieu and Davies, T. Jonathan and Cowling, Richard M. and Faith, Daniel P. and Balmford, Andrew and Manning, John C. and Procheş, Şerban and van der Bank, Michelle and Reeves, Gail and Hedderson, Terry A. J. and Savolainen, Vincent},
month = feb,
year = {2007},
keywords = {conservation, eco-evolutionary dynamics},
pages = {757--760}
}
@article{pressey_conservation_2007,
title = {Conservation planning in a changing world},
volume = {22},
issn = {0169-5347},
url = {http://www.sciencedirect.com/science/article/pii/S0169534707002807},
doi = {10.1016/j.tree.2007.10.001},
abstract = {Conservation planning is the process of locating, configuring, implementing and maintaining areas that are managed to promote the persistence of biodiversity and other natural values. Conservation planning is inherently spatial. The science behind it has solved important spatial problems and increasingly influenced practice. To be effective, however, conservation planning must deal better with two types of change. First, biodiversity is not static in time or space but generated and maintained by natural processes. Second, humans are altering the planet in diverse ways at ever faster rates.},
number = {11},
urldate = {2016-02-09TZ},
journal = {Trends in Ecology \& Evolution},
author = {Pressey, Robert L. and Cabeza, Mar and Watts, Matthew E. and Cowling, Richard M. and Wilson, Kerrie A.},
month = nov,
year = {2007},
pages = {583--592}
}
@article{iliopoulos_critical_2010,
title = {Critical {Dynamics} in the {Evolution} of {Stochastic} {Strategies} for the {Iterated} {Prisoner}'s {Dilemma}},
volume = {6},
url = {http://dx.doi.org/10.1371/journal.pcbi.1000948},
doi = {10.1371/journal.pcbi.1000948},
abstract = {Author Summary
The observed cooperation between genes, cells, tissues, and higher organisms represents a paradox for Darwinian evolution, because the individual success of cheating is rewarded before its long-term detrimental consequences are felt. The tension between cooperation and defection can be represented by a simple game (the “Prisoner's Dilemma”), which has been used to study the conflicts between decisions to cooperate or defect. Here, we encode these decisions within genes, and allow them to adapt to environments that differ in how well a player can predict how an opponent is going to play. We find that evolutionary paths end at strategies that cooperate if the environment is sufficiently predictable, while they end in defection in uncertain and inconsistent worlds because inconsistency favors defection over cooperation. This work shows that cooperation or defection, in populations of players that use the information from previous moves to plan future ones, can be influenced by changing the environmental parameters.},
number = {10},
urldate = {2016-02-09TZ},
journal = {PLoS Comput Biol},
author = {Iliopoulos, Dimitris and Hintze, Arend and Adami, Christoph},
month = oct,
year = {2010},
pages = {e1000948}
}
@book{ferriere_evolutionary_2004,
title = {Evolutionary conservation biology},
volume = {4},
url = {https://books.google.com/books?hl=en&lr=&id=xfTB7UmQ0N4C&oi=fnd&pg=PP1&dq=evolutionary+conservation+biology&ots=ru9_QLDMaw&sig=ZRj792dm48J_esy-iute7cE6sQY},
urldate = {2016-02-05TZ},
publisher = {Cambridge University Press},
author = {Ferrière, Régis and Dieckmann, Ulf and Couvet, Denis},
year = {2004}
}
@article{cantu-paz_migration_2001,
title = {Migration {Policies}, {Selection} {Pressure}, and {Parallel} {Evolutionary} {Algorithms}},
volume = {7},
copyright = {Copyright Kluwer Academic Publishers Jul 2001},
issn = {13811231},
url = {http://search.proquest.com.proxy2.cl.msu.edu/docview/199224355/abstract/CA9C4247706245FDPQ/1},
abstract = {This paper investigates how the policy used to select migrants and the individuals they replace affects the selection pressure in parallel evolutionary algorithms (EAs) with multiple populations. The four possible combinations of random and fitness-based emigration and replacement of existing individuals are considered. The investigation follows two approaches. The first is to calculate the takeover time under the four migration policies. This approach makes several simplifying assumptions, but the qualitative conclusions that are derived from the calculations are confirmed by the second approach. The second approach consists on quantifying the increase in the selection intensity. The selection intensity is a domain-independent adimensional quantity that can be used to compare the selection pressure of common selection methods with the pressure caused by migration. The results may help to avoid excessively high (or low) selection pressures that may cause the search to fail, and offer a plausible explanation to the frequent claims of superlinear speedups in parallel EAs. [PUBLICATION ABSTRACT]},
language = {English},
number = {4},
urldate = {2016-02-04TZ},
journal = {Journal of Heuristics},
author = {Cantu-Paz, Erick},
month = jul,
year = {2001},
keywords = {Algorithms, Computers--Artificial Intelligence, Methods, Migration, Studies},
pages = {311}
}
@book{cantu-paz_efficient_2000,
title = {Efficient and {Accurate} {Parallel} {Genetic} {Algorithms}},
isbn = {9780792372219},
abstract = {As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.},
language = {en},
publisher = {Springer Science \& Business Media},
author = {Cantú-Paz, Erick},
month = nov,
year = {2000},
keywords = {Computers / Computer Science, Computers / Intelligence (AI) \& Semantics, Computers / Programming / Algorithms, Computers / Software Development \& Engineering / General, Computers / Systems Architecture / Distributed Systems \& Computing, Medical / Genetics}
}
@book{tomassini_spatially_2005,
address = {Berlin, Heidelberg},
series = {Natural {Computing} {Series}},
title = {Spatially {Structured} {Evolutionary} {Algorithms}: {Artificial} {Evolution} in {Space} and {Time}},
copyright = {Springer-Verlag 2005},
isbn = {364206339X},
shorttitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
language = {English},
publisher = {Springer Berlin Heidelberg},
author = {Tomassini, Marco},
month = jan,
year = {2005},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), COMPUTERS, Computation by Abstract Devices, Computer Science, Discrete Mathematics in Computer Science, Numeric Computing, Programming Algorithms}
}
@incollection{_coevolutionary_2005,
series = {Natural {Computing} {Series}},
title = {Coevolutionary {Structured} {Models}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_7},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_7},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {125--142}
}
@incollection{_nonconventional_2005,
series = {Natural {Computing} {Series}},
title = {Some {Nonconventional} {Models}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_8},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_8},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {143--155}
}
@incollection{_setting_2005,
series = {Natural {Computing} {Series}},
title = {Setting the {Stage} for {Structured} {Populations}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_1},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_1},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {1--9}
}
@incollection{_island_2005,
series = {Natural {Computing} {Series}},
title = {Island {Models}: {Empirical} {Properties}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
shorttitle = {Island {Models}},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_3},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_3},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {19--51}
}
@incollection{_lattice_2005,
series = {Natural {Computing} {Series}},
title = {Lattice {Cellular} {Models}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_4},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_4},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {53--84}
}
@incollection{_lattice_2005-1,
series = {Natural {Computing} {Series}},
title = {Lattice {Cellular} {Models}: {Empirical} {Properties}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
shorttitle = {Lattice {Cellular} {Models}},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_5},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_5},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {85--106}
}
@incollection{_island_2005-1,
series = {Natural {Computing} {Series}},
title = {Island {Models}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_2},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_2},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {11--18}
}
@incollection{_random_2005,
series = {Natural {Computing} {Series}},
title = {Random and {Irregular} {Cellular} {Populations}},
copyright = {©2005 Springer-Verlag},
isbn = {978-3-540-24193-5, 978-3-540-29938-7},
url = {http://link.springer.com/chapter/10.1007/3-540-29938-6_6},
language = {en},
urldate = {2016-02-04TZ},
booktitle = {Spatially {Structured} {Evolutionary} {Algorithms}},
publisher = {Springer Berlin Heidelberg},
year = {2005},
note = {DOI: 10.1007/3-540-29938-6\_6},
keywords = {Algorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Numeric Computing, Programming Techniques, Theory of Computation},
pages = {107--124}
}
@inproceedings{dolson_understanding_2015,
address = {York, United Kingdom},
title = {Understanding {Complexity} {Barriers} in {Evolving} {Systems}},
booktitle = {Open-{Ended} {Evolution} {Workshop} at {European} {Conference} on {Artificial} {Life}},
author = {Dolson, Emily and Vostinar, Anya and Wiser, Michael and Ofria, Charles},
month = jul,
year = {2015}
}
@article{paradis_ape:_2004,
title = {{APE}: analyses of phylogenetics and evolution in {R} language},
volume = {20},
journal = {Bioinformatics},
author = {Paradis, E. and Claude, J. and Strimmer, K.},
year = {2004},
pages = {289--290}
}
@article{saunders_biological_1991,
title = {Biological {Consequences} of {Ecosystem} {Fragmentation}: {A} {Review}},
volume = {5},
issn = {0888-8892},
shorttitle = {Biological {Consequences} of {Ecosystem} {Fragmentation}},
url = {http://www.jstor.org/stable/2386335},
abstract = {Research on fragmented ecosystems has focused mostly on the biogeographic consequences of the creation of habitat "islands" of different sizes, and has provided little of practical value to managers. However, ecosystem fragmentation causes large changes in the physical environment as well as biogeographic changes. Fragmentation generally results in a landscape that consists of remnant areas of native vegetation surrounded by a matrix of agricultural or other developed land. As a result, fluxes of radiation, momentum (i.e., wind), water, and nutrients across the landscape are altered significantly. These in turn can have important influences on the biota within remnant areas, especially at or near the edge between the remnant and the surrounding matrix. The isolation of remnant areas by clearing also has important consequences for the biota. These consequences vary with the time since isolation, distance from other remnants, and degree of connectivity with other remnants. The influences of physical and biogeographic changes are modified by the size, shape, and position in the landscape of individual remnants, with larger remnants being less adversely affected by the fragmentation process. The dynamics of remnant areas are predominantly driven by factors arising in the surrounding landscape. Management of, and research on, fragmented ecosystems should be directed at understanding and controlling these external influences as much as at the biota of the remnants themselves. There is a strong need to develop an integrated approach to landscape management that places conservation reserves in the context of the overall landscape.},
number = {1},
urldate = {2015-12-10TZ},
journal = {Conservation Biology},
author = {Saunders, Denis A. and Hobbs, Richard J. and Margules, Chris R.},
year = {1991},
pages = {18--32}
}
@book{_evolutionary_2009,
address = {Cambridge, UK},
edition = {1 edition},
title = {Evolutionary {Conservation} {Biology}},
isbn = {9780521116084},
language = {English},
publisher = {Cambridge University Press},
month = jul,
year = {2009}
}
@article{cowling_rapid_2001,
title = {Rapid plant diversification: {Planning} for an evolutionary future},
volume = {98},
issn = {0027-8424, 1091-6490},
shorttitle = {Rapid plant diversification},
url = {http://www.pnas.org/content/98/10/5452},
doi = {10.1073/pnas.101093498},
abstract = {Systematic conservation planning is a branch of conservation biology that seeks to identify spatially explicit options for the preservation of biodiversity. Alternative systems of conservation areas are predictions about effective ways of promoting the persistence of biodiversity; therefore, they should consider not only biodiversity pattern but also the ecological and evolutionary processes that maintain and generate species. Most research and application, however, has focused on pattern representation only. This paper outlines the development of a conservation system designed to preserve biodiversity pattern and process in the context of a rapidly changing environment. The study area is the Cape Floristic Region (CFR), a biodiversity hotspot of global significance, located in southwestern Africa. This region has experienced rapid (post-Pliocene) ecological diversification of many plant lineages; there are numerous genera with large clusters of closely related species (flocks) that have subdivided habitats at a very fine scale. The challenge is to design conservation systems that will preserve both the pattern of large numbers of species and various natural processes, including the potential for lineage turnover. We outline an approach for designing a system of conservation areas to incorporate the spatial components of the evolutionary processes that maintain and generate biodiversity in the CFR. We discuss the difficulty of assessing the requirements for pattern versus process representation in the face of ongoing threats to biodiversity, the difficulty of testing the predictions of alternative conservation systems, and the widespread need in conservation planning to incorporate and set targets for the spatial components (or surrogates) of processes.},
language = {en},
number = {10},
urldate = {2015-12-10TZ},
journal = {Proceedings of the National Academy of Sciences},
author = {Cowling, R. M. and Pressey, R. L.},
month = may,
year = {2001},
pmid = {11344293},
pages = {5452--5457}
}
@article{smith_prescriptive_2014,
title = {Prescriptive {Evolution} to {Conserve} and {Manage} {Biodiversity}},
volume = {45},
url = {http://dx.doi.org/10.1146/annurev-ecolsys-120213-091747},
doi = {10.1146/annurev-ecolsys-120213-091747},
abstract = {We are witnessing a global, but unplanned, evolutionary experiment with the biodiversity of the planet. Anthropogenic disturbances such as habitat degradation and climate change result in evolutionary mismatch between the environments to which species are adapted and those in which they now exist. The impacts of unmanaged evolution are pervasive, but approaches to address them have received little attention. We review the evolutionary challenges of managing populations in the Anthropocene and introduce the concept of prescriptive evolution, which considers how evolutionary processes may be leveraged to proactively promote wise management. We advocate the planned management of evolutionary processes and explore the advantages of evolutionary interventions to preserve and sustain biodiversity. We show how an evolutionary perspective to conserving biodiversity is fundamental to effective management. Finally, we advocate building frameworks for decision-making, monitoring, and implementation at the boundary between management and evolutionary science to enhance conservation outcomes.},
number = {1},
urldate = {2015-12-10TZ},
journal = {Annual Review of Ecology, Evolution, and Systematics},
author = {Smith, Thomas B. and Kinnison, Michael T. and Strauss, Sharon Y. and Fuller, Trevon L. and Carroll, Scott P.},
year = {2014},
keywords = {adaptation, applied evolution, assisted migration, global change, phenotype-environment mismatch, plasticity},
pages = {1--22}
}
@article{mace_evolutionary_2008,
title = {Evolutionary biology and practical conservation: bridging a widening gap},
volume = {17},
issn = {1365-294X},
shorttitle = {Evolutionary biology and practical conservation},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-294X.2007.03455.x/abstract},
doi = {10.1111/j.1365-294X.2007.03455.x},
abstract = {At the ecosystem, species and population level, available measures suggest that average rates of loss of populations and habitats are now around 1\% per year and seem likely to increase in the future. Habitat conversion continues in most parts of the world, especially in areas of high species richness, and novel threats, especially climate change, will pose new challenges. With this pressure, maintaining evolutionary processes in natural populations will be critical to longer term persistence, and will often require specific planning relevant to the context. However, in many areas of policy and practice, urgent actions tend to focus on pattern-based analyses and considerations of evolutionary and ecological processes are neglected. At a variety of levels, from setting goals to implementing conservation management at the site or species level, there are simple adjustments that can be made. Improved methods for integrating the work of scientists and policymakers is recommended, from the beginning to end of the planning process.},
language = {en},
number = {1},
urldate = {2015-12-10TZ},
journal = {Molecular Ecology},
author = {Mace, Georgina M. and Purvis, Andy},
month = jan,
year = {2008},
keywords = {biodiversity goals, conservation planning, evolution, policy},
pages = {9--19}
}
@article{mace_evolutionary_2008-1,
title = {Evolutionary biology and practical conservation: bridging a widening gap},
volume = {17},
issn = {1365-294X},
shorttitle = {Evolutionary biology and practical conservation},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-294X.2007.03455.x/abstract},
doi = {10.1111/j.1365-294X.2007.03455.x},
abstract = {At the ecosystem, species and population level, available measures suggest that average rates of loss of populations and habitats are now around 1\% per year and seem likely to increase in the future. Habitat conversion continues in most parts of the world, especially in areas of high species richness, and novel threats, especially climate change, will pose new challenges. With this pressure, maintaining evolutionary processes in natural populations will be critical to longer term persistence, and will often require specific planning relevant to the context. However, in many areas of policy and practice, urgent actions tend to focus on pattern-based analyses and considerations of evolutionary and ecological processes are neglected. At a variety of levels, from setting goals to implementing conservation management at the site or species level, there are simple adjustments that can be made. Improved methods for integrating the work of scientists and policymakers is recommended, from the beginning to end of the planning process.},
language = {en},
number = {1},
urldate = {2015-12-10TZ},
journal = {Molecular Ecology},
author = {Mace, Georgina M. and Purvis, Andy},
month = jan,
year = {2008},
keywords = {biodiversity goals, conservation planning, evolution, policy},
pages = {9--19}
}
@book{macarthur_theory_1967,
title = {The {Theory} of {Island} {Biogeography}},
isbn = {0691088365},
abstract = {Biogeography was stuck in a "natural history phase" dominated by the collection of data, the young Princeton biologists Robert H. MacArthur and Edward O. Wilson argued in 1967. In this book, the authors developed a general theory to explain the facts of island biogeography. The theory builds on the first principles of population ecology and genetics to explain how distance and area combine to regulate the balance between immigration and extinction in island populations. The authors then test the theory against data. The Theory of Island Biogeography was never intended as the last word on the subject. Instead, MacArthur and Wilson sought to stimulate new forms of theoretical and empirical studies, which will lead in turn to a stronger general theory. Even a third of a century since its publication, the book continues to serve that purpose well. From popular books like David Quammen's Song of the Dodo to arguments in the professional literature, The Theory of Island Biogeography remains at the center of discussions about the geographic distribution of species. In a new preface, Edward O. Wilson reviews the origins and consequences of this classic book.},
language = {en},
publisher = {Princeton University Press},
author = {MacArthur, Robert H. and Wilson, Edward O.},
year = {1967},
keywords = {Science / Life Sciences / Biology, Science / Life Sciences / Ecology}
}
@article{diamond_island_1975,
title = {The island dilemma: {Lessons} of modern biogeographic studies for the design of natural reserves},
volume = {7},
issn = {0006-3207},
shorttitle = {The island dilemma},
url = {http://www.sciencedirect.com/science/article/pii/000632077590052X},
doi = {10.1016/0006-3207(75)90052-X},
abstract = {A system of natural reserves, each surrounded by altered habitat, resembles a system of islands from the point of view of species restricted to natural habitats. Recent advances in island biogeography may provide a detailed basis for understanding what to expect of such a system of reserves. The main conclusions are as follows: The number of species that a reserve can hold at equilibrium is a function of its area and its isolation. Larger reserves, and reserves located close to other reserves, can hold more species. If most of the area of a habitat is destroyed, and a fraction of the area is saved as a reserve, the reserve will initially contain more species than it can hold at equilibrium. The excess will gradually go extinct. The smaller the reserve, the higher will be the extinction rates. Estimates of these extinction rates for bird and mammal species have recently become available in a few cases. Different species require different minimum areas to have a reasonable chance of survival. Some geometric design principles are suggested in order to optimise the function of reserves in saving species.},
number = {2},
urldate = {2015-12-10TZ},
journal = {Biological Conservation},
author = {Diamond, Jared M.},
month = feb,
year = {1975},
pages = {129--146}
}
@article{simberloff_island_1976,
title = {Island biogeography theory and conservation practice},
volume = {191},
url = {http://planet.botany.uwc.ac.za/NISL/Conservation%20Biology/Chapter1_bak/articles/Simberloff_and_Abele_1976.pdf},
number = {4224},
urldate = {2015-12-10TZ},
journal = {Science},
author = {Simberloff, Daniel S. and Abele, Lawrence G.},
year = {1976},
pages = {285--286}
}
@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{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},
shorttitle = {Integrating the effects of area, isolation, and habitat heterogeneity on species diversity},
url = {http://www.jstor.org/stable/10.1086/519853},
number = {3},
urldate = {2015-11-16TZ},
journal = {The American Naturalist},
author = {Kadmon, Ronen and Allouche, Omri},
year = {2007},
pages = {443--454}
}
@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, habitat heterogeneity, neutral theory, stochastic model of community dynamics},
pages = {17495--17500}
}
@article{kadmon_integrating_2007-1,
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{channon_improving_2003,
title = {Improving and still passing the {ALife} test: {Component}-normalised activity statistics classify evolution in {Geb} as unbounded},
shorttitle = {Improving and still passing the {ALife} test},
url = {https://books.google.com/books?hl=en&lr=&id=si_KlRbL1XoC&oi=fnd&pg=PA173&dq=alastair+channon&ots=2BC6f5jTp6&sig=0M-GMq82p6cB-r8Uie3OrvjBrPo},
urldate = {2015-10-23TZ},
journal = {Proceedings of Artificial Life VIII, Sydney, RK Standish, MA Bedau, and HA Abbass,(eds.), MIT Press: Cambridge, MA},
author = {Channon, Alastair and {others}},
year = {2003},
pages = {173--181}
}
@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{channon_towards_2000,
title = {Towards the evolutionary emergence of increasingly complex advantageous behaviours},
volume = {31},
url = {http://www.tandfonline.com/doi/abs/10.1080/002077200406570},
number = {7},
urldate = {2015-10-23TZ},
journal = {International Journal of Systems Science},
author = {Channon, Alastair Daniel and Damper, Robert I.},
year = {2000},
pages = {843--860}
}
@article{wiens_speciation_2004,
title = {Speciation and {Ecology} {Revisited}: {Phylogenetic} {Niche} {Conservatism} and the {Origin} of {Species}},
volume = {58},
issn = {1558-5646},
shorttitle = {Speciation and {Ecology} {Revisited}},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.0014-3820.2004.tb01586.x/abstract},
doi = {10.1111/j.0014-3820.2004.tb01586.x},
abstract = {Abstract Evolutionary biologists have often suggested that ecology is important in speciation, in that natural selection may drive adaptive divergence between lineages that inhabit different environments. I suggest that it is the tendency of lineages to maintain their ancestral ecological niche (phylogenetic niche conservatism) and their failure to adapt to new environments which frequently isolates incipient species and begins the process of speciation. Niche conservatism may be an important and widespread component of allopatric speciation but is largely unstudied. The perspective outlined here suggests roles for key microevolutionary processes (i.e., natural selection, adaptation) that are strikingly different from those proposed in previous literature on ecology and speciation. Yet, this perspective is complementary to the traditional view because it focuses on a different temporal stage of the speciation process.},
language = {en},
number = {1},
urldate = {2015-10-14TZ},
journal = {Evolution},
author = {Wiens, John J.},
month = jan,
year = {2004},
keywords = {Ecology, adaptation, biogeography, natural selection, niche, speciation, vicariance},
pages = {193--197}
}