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      Long-distance dispersal in a fire- and livestock-protected savanna

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          Abstract

          Savannas are highly diverse and dynamic environments that can shift to forest formations due to protection policies. Long-distance dispersal may shape the genetic structure of these new closed forest formations. We analyzed eight microsatellite loci using a single-time approach to understand contemporary pollen and effective seed dispersal of the tropical tree, Copaifera langsdorffii Desf. (Fabaceae), occurring in a Brazilian fire- and livestock-protected savanna. We sampled all adult trees found within a 10.24 ha permanent plot, young trees within a subplot of 1.44 ha and open-pollinated seeds. We detected a very high level of genetic diversity among the three generations in the studied plot. Parentage analysis revealed high pollen immigration rate (0.64) and a mean contemporary pollen dispersal distance of 74 m. In addition, half-sib production was 1.8 times higher than full-sibs in significant higher distances, indicating foraging activity preference for different trees at long distances. There was a significant and negative correlation between diameter at breast height (DBH) of the pollen donor with the number of seeds ( r = −0.640, P-value = 0.032), suggesting that pollen donor trees with a higher DBH produce less seeds. The mean distance of realized seed dispersal (recruitment kernel) was 135 m due to the large home range dispersers (birds and mammals) in the area. The small magnitude of spatial genetic structure found in young trees may be a consequence of overlapping seed shadows and increased tree density. Our results show the positive side of closed canopy expansion, where animal activities regarding pollination and seed dispersal are extremely high.

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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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            New insights from fine-scale spatial genetic structure analyses in plant populations.

            Many empirical studies have assessed fine-scale spatial genetic structure (SGS), i.e. the nonrandom spatial distribution of genotypes, within plant populations using genetic markers and spatial autocorrelation techniques. These studies mostly provided qualitative descriptions of SGS, rendering quantitative comparisons among studies difficult. The theory of isolation by distance can predict the pattern of SGS under limited gene dispersal, suggesting new approaches, based on the relationship between pairwise relatedness coefficients and the spatial distance between individuals, to quantify SGS and infer gene dispersal parameters. Here we review the theory underlying such methods and discuss issues about their application to plant populations, such as the choice of the relatedness statistics, the sampling scheme to adopt, the procedure to test SGS, and the interpretation of spatial autocorrelograms. We propose to quantify SGS by an 'Sp' statistic primarily dependent upon the rate of decrease of pairwise kinship coefficients between individuals with the logarithm of the distance in two dimensions. Under certain conditions, this statistic estimates the reciprocal of the neighbourhood size. Reanalysing data from, mostly, published studies, the Sp statistic was assessed for 47 plant species. It was found to be significantly related to the mating system (higher in selfing species) and to the life form (higher in herbs than trees), as well as to the population density (higher under low density). We discuss the necessity for comparing SGS with direct estimates of gene dispersal distances, and show how the approach presented can be extended to assess (i) the level of biparental inbreeding, and (ii) the kurtosis of the gene dispersal distribution.
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              Espécies florestais brasileiras, recomendações silviculturais, potencialidades e uso da madeira

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                Author and article information

                Journal
                Ecol Evol
                Ecol Evol
                ece3
                Ecology and Evolution
                Blackwell Publishing Ltd
                2045-7758
                2045-7758
                April 2013
                07 March 2013
                : 3
                : 4
                : 1003-1015
                Affiliations
                [1 ]Departamento de Genética, Universidade de São Paulo CP 9, Piracicaba, SP, 13418-900, Brazil
                [2 ]Instituto Florestal de São Paulo CP 339, Piracicaba, SP, 13400-970, Brazil
                [3 ]Departamento de Ciências Florestais, Universidade de São Paulo CP 9, Piracicaba, SP, 13418-900, Brazil
                Author notes
                Roberto Tarazi, Departamento de Genética, Universidade de São Paulo, CP 9, Piracicaba, SP, 13418-900, Brazil. Tel: +55 19 34294250; Fax: +55 19 34294125; E-mail: betotarazi@ 123456yahoo.com.br

                Funding Information The authors thank Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for funding this project (grant 07/06648-1); Instituto Florestal do Estado de São Paulo (IF) for the research and field activities license in ESA (license 44.184/2006) and Laboratório de Reprodução e Genética de Espécies Arbóreas (University of São Paulo) for laboratory assistance. Roberto Tarazi was supported by a FAPESP PhD scholarship (grant 2006/04490-9) and Alexandre Magno Sebbenn, Paulo Yoshio Kageyama and Roland Vencovsky are supported by a National Council of Technological and Scientific Development (CNPq) research fellowship.

                Article
                10.1002/ece3.515
                3631410
                23610640
                58ceebbc-5e70-49be-9d91-5d37787924b5
                © 2013 Published by Blackwell Publishing Ltd.

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 09 October 2012
                : 19 January 2013
                : 22 January 2013
                Categories
                Original Research

                Evolutionary Biology
                copaifera,microsatellite loci,seed dispersal,pollen dispersal,parentage analysis,spatial genetic structure

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