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      Genetic correlations between adults and larvae in a marine fish: potential effects of fishery selection on population replenishment

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          Abstract

          Correlated genetic responses have been hypothesized as important components of fishery-induced evolution, although predictive data from wild populations have been difficult to obtain. Here, we demonstrate substantial genetic correlations between a trait often subjected to fishery selection (adult body length) and traits that affect survival of larvae (length and swimming performance) in a wild population of a marine fish (bicolor damselfish, Stegastes partitus). Through both genetic covariance and size-dependent maternal effects, selection on adult size may cause a considerable, correlated response in larval traits. To quantify how variation in larval traits may affect survival, we introduce a flexible method that uses information from selection measurements to account for frequency dependence and estimate the relationship between phenotype and relative survival across a broad range of phenotypic values. Using this method, we synthesize studies of selective mortality on larval size for eight species of fish and show that variation in larval size may result in considerable variation in larval survival. We predict that observed rates of fishery selection on adult marine fishes may substantially reduce larval size and survival. The evolution of smaller larvae in response to fishery selection may therefore have substantial consequences for the viability of fished populations.

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          Statistical confidence for likelihood-based paternity inference in natural populations.

          Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
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            Why fishing magnifies fluctuations in fish abundance.

            It is now clear that fished populations can fluctuate more than unharvested stocks. However, it is not clear why. Here we distinguish among three major competing mechanisms for this phenomenon, by using the 50-year California Cooperative Oceanic Fisheries Investigations (CalCOFI) larval fish record. First, variable fishing pressure directly increases variability in exploited populations. Second, commercial fishing can decrease the average body size and age of a stock, causing the truncated population to track environmental fluctuations directly. Third, age-truncated or juvenescent populations have increasingly unstable population dynamics because of changing demographic parameters such as intrinsic growth rates. We find no evidence for the first hypothesis, limited evidence for the second and strong evidence for the third. Therefore, in California Current fisheries, increased temporal variability in the population does not arise from variable exploitation, nor does it reflect direct environmental tracking. More fundamentally, it arises from increased instability in dynamics. This finding has implications for resource management as an empirical example of how selective harvesting can alter the basic dynamics of exploited populations, and lead to unstable booms and busts that can precede systematic declines in stock levels.
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              Fishing elevates variability in the abundance of exploited species.

              The separation of the effects of environmental variability from the impacts of fishing has been elusive, but is essential for sound fisheries management. We distinguish environmental effects from fishing effects by comparing the temporal variability of exploited versus unexploited fish stocks living in the same environments. Using the unique suite of 50-year-long larval fish surveys from the California Cooperative Oceanic Fisheries Investigations we analyse fishing as a treatment effect in a long-term ecological experiment. Here we present evidence from the marine environment that exploited species exhibit higher temporal variability in abundance than unexploited species. This remains true after accounting for life-history effects, abundance, ecological traits and phylogeny. The increased variability of exploited populations is probably caused by fishery-induced truncation of the age structure, which reduces the capacity of populations to buffer environmental events. Therefore, to avoid collapse, fisheries must be managed not only to sustain the total viable biomass but also to prevent the significant truncation of age structure. The double jeopardy of fishing to potentially deplete stock sizes and, more immediately, to amplify the peaks and valleys of population variability, calls for a precautionary management approach.
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                Author and article information

                Journal
                Evol Appl
                Evol Appl
                eva
                Evolutionary Applications
                Blackwell Publishing Ltd (Oxford, UK )
                1752-4571
                1752-4571
                September 2011
                02 April 2011
                : 4
                : 5
                : 621-633
                Affiliations
                simpleDepartment of Zoology, Oregon State University Corvallis, OR, USA
                Author notes
                Darren W. Johnson, National Center for Ecological Analysis and Synthesis, 735 State St., Santa Barbara, CA 93101, USA. Tel.: +805-892-2519; fax: +805-892-2510; e-mail: johnson@ 123456nceas.ucsb.edu
                Article
                10.1111/j.1752-4571.2011.00185.x
                3352533
                25568010
                e7a665af-d164-45ec-bd8e-efabf9c09ad5
                © 2011 Blackwell Publishing Ltd
                History
                : 04 February 2011
                : 08 February 2011
                Categories
                Original Articles

                Evolutionary Biology
                recruitment,rapid evolution,hard selection,frequency-independent selection,soft selection,carryover effects,quantitative genetics,larval quality,maternal effects,frequency-dependent selection

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