Fixation probabilities of random mutants under frequency dependent selection

Evolutionary game dynamics describes frequency dependent selection in asexual, haploid populations. It typically considers predefined strategies and fixed payoff matrices. Mutations occur between these known types only. Here, we consider a situation in which a mutation has produced an entirely new type which is characterized by a random payoff matrix that does not change during the fixation or extinction of the mutant. Based on the probability distribution underlying the payoff values, we address the fixation probability of the new mutant. It turns out that for weak selection, only the first moments of the distribution matter. For strong selection, the probability that a new payoff entry is larger than the wild type's payoff against itself is the crucial quantity.     

Tradeoffs of different types of species occurrence data for use in systematic conservation planning

Data on the occurrence of species are widely used to inform the design of reserve networks. These data contain commission errors (when a species is mistakenly thought to be present) and omission errors (when a species is mistakenly thought to be absent), and the rates of the two types of error are inversely related. Point locality data can minimize commission errors, but those obtained from museum collections are generally sparse, suffer from substantial spatial bias and contain large omission errors. Geographic ranges generate large commission errors because they assume homogenous species distributions. Predicted distribution data make explicit inferences on species occurrence and their commission and omission errors depend on model structure, on the omission of variables that determine species distribution and on data resolution. Omission errors lead to identifying networks of areas for conservation action that are smaller than required and centred on known species occurrences, thus affecting the comprehensiveness, representativeness and efficiency of selected areas. Commission errors lead to selecting areas not relevant to conservation, thus affecting the representativeness and adequacy of reserve networks. Conservation plans should include an estimation of commission and omission errors in underlying species data and explicitly use this information to influence conservation planning outcomes.     

Monitoring occurrence,extinction, and colonization probabilities for gibbon populations

All gibbon species (Family: Hylobatidae) are considered threatened with extinction and recognized on the International Union for Conservation of Nature Red List of Threatened Species. Because gibbons are one of the most threatened families of primates, monitoring their status is now critically important. Long-term monitoring programs applying occupancy approaches, in addition to assessing occurrence probability, improves understanding of other population parameters such as site extinction or colonization probabilities, which elucidate temporal and spatial changes and are therefore important for guiding conservation efforts. In this study, we used multiple season occupancy models to monitor occurrence, extinction, and colonization probabilities for northern yellow-cheeked crested gibbon Nomascus annamensis in three adjacent protected areas in the Central Annamites mountain range, Vietnam. We collected data at 30 listening posts in 2012, 2014, and 2016 using the auditory point count method. Occurrence probabilities were highest in 2012 (0.74, confidence interval [CI]: 0.56–0.87) but slightly lower in 2014 (0.66, CI: 0.51–0.79) and 2016 (0.67, CI: 0.49–0.81). Extinction probabilities during the 2012–2014 and 2014–2016 intervals were 0.26 (0.14–0.44) and 0.25 (0.12–0.44), respectively. Colonization probabilities during 2012–2014 were 0.44 (0.19–0.73) and between 2014 and 2016 was 0.51 (0.26–0.75). Although local site extinctions have occurred, high recolonization probability helped to replenish the unoccupied sites and kept the occurrence probability stable. Long-term monitoring programs which use occurrence probability alone might not fully reveal the true dynamics of gibbon populations. We strongly recommend including multiple season occupancy models to monitor occurrence, extinction, and colonization probabilities in long-term gibbon monitoring programs.     

Exact computation of pattern probabilities in random sequences generated by Markov chains

Observed patterns in macromolecular sequences are often consideredas words and compared with their probabilities of occurringin random sequences. Calculation of these probabilities, however,often lacks rigour. We have developed an algorithm for exactcomputation of such probabilities for stochastic sequences thatfollow a Markov chain model. The method is applicable to thecase that a random sequence contains one out of two given patternsP and Q, or both simultaneously. Another application yieldsthe probability Junction P(x) that a sequence contains patternP exactly x times. An application to patterns that include wild-cardcharacters yields probabilities for homonucleotide clustersof a given length. We prove the probability of multiple runsof single nucleotides in the SV40 genome to be in accordancewith the dinucleotide composition of the sequence, althoughit is in conflict with mononucleotide composition. Received on January 10, 1990; accepted on April 23, 1990     

Mechanism of photoinactivation in photosynthetic systems II. The occurrence and properties of two different types of photoinactivation

Photoinactivation of the activity of NADP photoreduction withreduced DPIP or with reduced TMPD as the electron donor wasinhibited by the absence of oxygen in the atmosphere or by thepresence of photosynthetic inhibitors (CMU, DCMU, o-phenanthroline)in the preillumination mixture. Photoinactivation of the photoreductionof NADP or DPIP with water as the electron donor was not affected,or even accelerated, by these conditions of preillumination.The concentrations of inhibitors required for maximum inhibitionin the former case corresponded to those required for inhibitionof photosynthetic electron transport. The results indicatedthe occurrence of 2 different types of photoinactivation, eachspecifically affecting photosystems I and II, and differingin behaviours; including their requirement for oxygen in theatmosphere and their responses toward the presence of photosyntheticinhibitors during the preillumination period. (Received July 30, 1969; )     

The occurrence of heat-resistant species of Trichophaea abundans in different types of soil in Slovakia and Czech Republic

Strains of Trichophaea abundans (Ascomycota, Pezizales, Pyrenomycetaceae) were isolated from Haplic Cambisol, Haplic Cambisol (Eutric), Litic Leptosol (Sceletic), Haplic Umbrisol, and Fulvic Andosol soils in Slovakia and from Rendzic Leptosol, Chernozem, Cambisol, drilosphere, and feacal pelets of the earthworm Allolobophora hrabei collected in southern Moravia. The Slovak soils markedly differ in pH, from extremely acidic (pH_H2O 3.9) to weakly alkaline (pH_H2O 7.4). T. abundans appeared as a post-burn species on Haplic Cambisol, which experienced a wildfire after a windthrow event (November 2004). In Moravia T. abundans was also isolated from sites situated in southern slopes, from time and time they affected by fires. We also note the growth of T. abundans on the surface of Fulvic Andosol after gradual heating in the lab to temperatures reaching 105°C. These findings confirmed by a review of the literature, indicate that T. abundans belongs to the group of heat-resistant fungi appearing in soils regularly influenced by the fire or grass calcining.     

On evaluation of infection probabilities for different age groups

It is well known that evaluation of parameters for any mathematical model is always very important and often a very difficult problem. This is especially true for agents-based models because as a rule the evaluation of an agent's parameters can be made only based on available information from the higher levels of a complex system. Such problems can be ill-posed or even have a non-unique solution. That is why there is no general algorithm for solving these problems and a researcher has to search for it for every specific model type.