@article{2823,
abstract = {The primary goal of restoration is to create self-sustaining ecological communities that are resilient to periodic disturbance. Currently, little is known about how restored communities respond to disturbance events such as fire and how this response compares to remnant vegetation. Following the 2003 fires in south-eastern Australia we examined the post-fire response of revegetation plantings and compared this to remnant vegetation. Ten burnt and 10 unburnt (control) sites were assessed for each of three types of vegetation (direct seeding revegetation, revegetation using nursery seedlings (tubestock) and remnant woodland). Sixty sampling sites were surveyed 6months after fire to quantify the initial survival of mid- and overstorey plant species in each type of vegetation. Three and 5years after fire all sites were resurveyed to assess vegetation structure, species diversity and vigour, as well as indicators of soil function. Overall, revegetation showed high (>60%) post-fire survival, but this varied among species depending on regeneration strategy (obligate seeder or resprouter). The native ground cover, mid- and overstorey in both types of plantings showed rapid recovery of vegetation structure and cover within 3years of fire. This recovery was similar to the burnt remnant woodlands. Non-native (exotic) ground cover initially increased after fire, but was no different in burnt and unburnt sites 5years after fire. Fire had no effect on species richness, but burnt direct seeding sites had reduced species diversity (Simpson's Diversity Index) while diversity was higher in burnt remnant woodlands. Indices of soil function in all types of vegetation had recovered to levels found in unburnt sites 5years after fire. These results indicate that even young revegetation (stands <10years old) showed substantial recovery from disturbance by fire. This suggests that revegetation can provide an important basis for restoring woodland communities in the fire-prone Australian environment.},
author = {Pickup, Melinda and Wilson, Susie and Freudenberger, David and Nicholls, Nick and Gould, Lori and Hnatiuk, Sarah and Delandre, Jeni},
journal = {Austral Ecology},
number = {3},
pages = {300 -- 312},
publisher = {Wiley-Blackwell},
title = {{Post-fire recovery of revegetated woodland communities in south-eastern Australia}},
doi = {10.1111/j.1442-9993.2012.02404.x},
volume = {38},
year = {2013},
}
@article{2842,
abstract = {We outline two approaches to inference of neighbourhood size, N, and dispersal rate, σ2, based on either allele frequencies or on the lengths of sequence blocks that are shared between genomes. Over intermediate timescales (10-100 generations, say), populations that live in two dimensions approach a quasi-equilibrium that is independent of both their local structure and their deeper history. Over such scales, the standardised covariance of allele frequencies (i.e. pairwise FS T) falls with the logarithm of distance, and depends only on neighbourhood size, N, and a 'local scale', κ; the rate of gene flow, σ2, cannot be inferred. We show how spatial correlations can be accounted for, assuming a Gaussian distribution of allele frequencies, giving maximum likelihood estimates of N and κ. Alternatively, inferences can be based on the distribution of the lengths of sequence that are identical between blocks of genomes: long blocks (>0.1 cM, say) tell us about intermediate timescales, over which we assume a quasi-equilibrium. For large neighbourhood size, the distribution of long blocks is given directly by the classical Wright-Malécot formula; this relationship can be used to infer both N and σ2. With small neighbourhood size, there is an appreciable chance that recombinant lineages will coalesce back before escaping into the distant past. For this case, we show that if genomes are sampled from some distance apart, then the distribution of lengths of blocks that are identical in state is geometric, with a mean that depends on N and σ2.},
author = {Barton, Nicholas H and Etheridge, Alison and Kelleher, Jerome and Véber, Amandine},
journal = {Theoretical Population Biology},
number = {1},
pages = {105 -- 119},
publisher = {Elsevier},
title = {{Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks}},
doi = {10.1016/j.tpb.2013.03.001},
volume = {87},
year = {2013},
}
@inbook{2907,
abstract = {Sex and recombination are among the most striking features of the living world, and they play a crucial role in allowing the evolution of complex adaptation. The sharing of genomes through the sexual union of different individuals requires elaborate behavioral and physiological adaptations. At the molecular level, the alignment of two DNA double helices, followed by their precise cutting and rejoining, is an extraordinary feat. Sex and recombination have diverse—and often surprising—evolutionary consequences: distinct sexes, elaborate mating displays, selfish genetic elements, and so on.},
author = {Barton, Nicholas H},
booktitle = {The Princeton Guide to Evolution},
isbn = {9780691149776},
pages = {328 -- 333},
publisher = {Princeton University Press},
title = {{Recombination and sex}},
year = {2013},
}
@article{2908,
abstract = {Hybridization is an almost inevitable component of speciation, and its study can tell us much about that process. However, hybridization itself may have a negligible influence on the origin of species: on the one hand, universally favoured alleles spread readily across hybrid zones, whilst on the other, spatially heterogeneous selection causes divergence despite gene flow. Thus, narrow hybrid zones or occasional hybridisation may hardly affect the process of divergence.},
author = {Barton, Nicholas H},
journal = {Journal of Evolutionary Biology},
number = {2},
pages = {267 -- 269},
publisher = {Wiley-Blackwell},
title = {{Does hybridisation influence speciation? }},
doi = {10.1111/jeb.12015},
volume = {26},
year = {2013},
}
@article{2909,
abstract = {We survey a class of models for spatially structured populations
which we have called spatial Λ-Fleming–Viot processes. They arise from a flexible
framework for modelling in which the key innovation is that random genetic drift
is driven by a Poisson point process of spatial ‘events’. We demonstrate how this
overcomes some of the obstructions to modelling populations which evolve in two-
(and higher-) dimensional spatial continua, how its predictions match phenomena
observed in data and how it fits with classical models. Finally we outline some
directions for future research.},
author = {Barton, Nicholas H and Etheridge, Alison and Véber, Amandine},
journal = {Journal of Statistical Mechanics Theory and Experiment},
number = {1},
publisher = {IOP Publishing Ltd.},
title = {{Modelling evolution in a spatial continuum}},
doi = {10.1088/1742-5468/2013/01/P01002},
volume = {2013},
year = {2013},
}
@article{2910,
abstract = {Coalescent simulation has become an indispensable tool in population genetics and many complex evolutionary scenarios have been incorporated into the basic algorithm. Despite many years of intense interest in spatial structure, however, there are no available methods to simulate the ancestry of a sample of genes that occupy a spatial continuum. This is mainly due to the severe technical problems encountered by the classical model of isolation
by distance. A recently introduced model solves these technical problems and provides a solid theoretical basis for the study of populations evolving in continuous space. We present a detailed algorithm to simulate the coalescent process in this model, and provide an efficient implementation of a generalised version of this algorithm as a freely available Python module.},
author = {Kelleher, Jerome and Barton, Nicholas H and Etheridge, Alison},
journal = {Bioinformatics},
number = {7},
pages = {955 -- 956},
publisher = {Oxford University Press},
title = {{Coalescent simulation in continuous space}},
doi = {10.1093/bioinformatics/btt067},
volume = {29},
year = {2013},
}
@article{2944,
abstract = {We propose a two-step procedure for estimating multiple migration rates in an approximate Bayesian computation (ABC) framework, accounting for global nuisance parameters. The approach is not limited to migration, but generally of interest for inference problems with multiple parameters and a modular structure (e.g. independent sets of demes or loci). We condition on a known, but complex demographic model of a spatially subdivided population, motivated by the reintroduction of Alpine ibex (Capra ibex) into Switzerland. In the first step, the global parameters ancestral mutation rate and male mating skew have been estimated for the whole population in Aeschbacher et al. (Genetics 2012; 192: 1027). In the second step, we estimate in this study the migration rates independently for clusters of demes putatively connected by migration. For large clusters (many migration rates), ABC faces the problem of too many summary statistics. We therefore assess by simulation if estimation per pair of demes is a valid alternative. We find that the trade-off between reduced dimensionality for the pairwise estimation on the one hand and lower accuracy due to the assumption of pairwise independence on the other depends on the number of migration rates to be inferred: the accuracy of the pairwise approach increases with the number of parameters, relative to the joint estimation approach. To distinguish between low and zero migration, we perform ABC-type model comparison between a model with migration and one without. Applying the approach to microsatellite data from Alpine ibex, we find no evidence for substantial gene flow via migration, except for one pair of demes in one direction.},
author = {Aeschbacher, Simon and Futschik, Andreas and Beaumont, Mark},
journal = {Molecular Ecology},
number = {4},
pages = {987 -- 1002},
publisher = {Wiley-Blackwell},
title = {{Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates. }},
doi = {10.1111/mec.12165},
volume = {22},
year = {2013},
}
@article{498,
abstract = {Understanding patterns and correlates of local adaptation in heterogeneous landscapes can provide important information in the selection of appropriate seed sources for restoration. We assessed the extent of local adaptation of fitness components in 12 population pairs of the perennial herb Rutidosis leptorrhynchoides (Asteraceae) and examined whether spatial scale (0.7-600 km), environmental distance, quantitative (QST) and neutral (FST) genetic differentiation, and size of the local and foreign populations could predict patterns of adaptive differentiation. Local adaptation varied among populations and fitness components. Including all population pairs, local adaptation was observed for seedling survival, but not for biomass, while foreign genotype advantage was observed for reproduction (number of inflorescences). Among population pairs, local adaptation increased with QST and local population size for biomass. QST was associated with environmental distance, suggesting ecological selection for phenotypic divergence. However, low FST and variation in population structure in small populations demonstrates the interaction of gene flow and drift in constraining local adaptation in R. leptorrhynchoides. Our study indicates that for species in heterogeneous landscapes, collecting seed from large populations from similar environments to candidate sites is likely to provide the most appropriate seed sources for restoration.},
author = {Pickup, Melinda and Field, David and Rowell, David and Young, Andrew},
journal = {Evolutionary Applications},
number = {8},
pages = {913 -- 924},
publisher = {Wiley-Blackwell},
title = {{Predicting local adaptation in fragmented plant populations: Implications for restoration genetics}},
doi = {10.1111/j.1752-4571.2012.00284.x},
volume = {5},
year = {2012},
}
@article{2917,
abstract = {The search for extra-terrestrial intelligence (SETI) has been performed principally as a one-way survey, listening of radio frequencies across the Milky Way and other galaxies. However, scientists have engaged in an active messaging only rarely. This suggests the simple rationale that if other civilizations exist and take a similar approach to ours, namely listening but not broadcasting, the result is a silent universe. A simple game theoretical model, the prisoner's dilemma, explains this situation: each player (civilization) can passively search (defect), or actively search and broadcast (cooperate). In order to maximize the payoff (or, equivalently, minimize the risks) the best strategy is not to broadcast. In fact, the active search has been opposed on the basis that it might be dangerous to expose ourselves. However, most of these ideas have not been based on objective arguments, and ignore accounting of the possible gains and losses. Thus, the question stands: should we perform an active search? I develop a game-theoretical framework where civilizations can be of different types, and explicitly apply it to a situation where societies are either interested in establishing a two-way communication or belligerent and in urge to exploit ours. The framework gives a quantitative solution (a mixed-strategy), which is how frequent we should perform the active SETI. This frequency is roughly proportional to the inverse of the risk, and can be extremely small. However, given the immense amount of stars being scanned, it supports active SETI. The model is compared with simulations, and the possible actions are evaluated through the San Marino scale, measuring the risks of messaging.},
author = {Vladar, Harold},
journal = {International Journal of Astrobiology},
number = {1},
pages = {53 -- 62},
publisher = {Cambridge University Press},
title = {{The game of active search for extra terrestrial intelligence Breaking the Great Silence }},
doi = {10.1017/S1473550412000407},
volume = {12},
year = {2012},
}
@article{2962,
abstract = {The choice of summary statistics is a crucial step in approximate Bayesian computation (ABC). Since statistics are often not sufficient, this choice involves a trade-off between loss of information and reduction of dimensionality. The latter may increase the efficiency of ABC. Here, we propose an approach for choosing summary statistics based on boosting, a technique from the machine learning literature. We consider different types of boosting and compare them to partial least squares regression as an alternative. To mitigate the lack of sufficiency, we also propose an approach for choosing summary statistics locally, in the putative neighborhood of the true parameter value. We study a demographic model motivated by the re-introduction of Alpine ibex (Capra ibex) into the Swiss Alps. The parameters of interest are the mean and standard deviation across microsatellites of the scaled ancestral mutation rate (θanc = 4 Ne u), and the proportion of males obtaining access to matings per breeding season (ω). By simulation, we assess the properties of the posterior distribution obtained with the various methods. According to our criteria, ABC with summary statistics chosen locally via boosting with the L2-loss performs best. Applying that method to the ibex data, we estimate θanc ≈ 1.288, and find that most of the variation across loci of the ancestral mutation rate u is between 7.7×10−4 and 3.5×10−3 per locus per generation. The proportion of males with access to matings is estimated to ω ≈ 0.21, which is in good agreement with recent independent estimates.},
author = {Aeschbacher, Simon and Beaumont, Mark and Futschik, Andreas},
journal = {Genetics},
number = {3},
pages = {1027 -- 1047},
publisher = {Genetics Society of America},
title = {{A novel approach for choosing summary statistics in approximate Bayesian computation}},
doi = {10.1534/genetics.112.143164},
volume = {192},
year = {2012},
}