Arapaima, pirarucu or paiche ( Arapaima gigas ) is one of the largest freshwater fish in the world, and has a long history of commercial exploitation in the Amazon region. To estimate levels of genetic variability and historical and recent connectivity in Arapaima, we examined variation in eleven microsatellite DNA markers in individuals from 22 localities in Brazil, Colombia, and Peru. The results of analysis of molecular variance, Bayesian clustering and discriminant analysis of principal components showed that Arapaima in our samples represents two major populations, one in the Amazonas and one in the Araguaia-Tocantins River basins. The Amazonas population is further structured by isolation-by-distance with the hydrologically largely unconnected Amapá locality representing the eastern-most extreme of this continuum; gene flow predominates at distances of less than 1500 km with localities separated by over 2000 km dominated by genetic drift and effectively forming different populations. We saw no evidence of multiple species of Arapaima in the Amazonas basin, and analysis of pairwise genetic divergence ( F ST ) with Mantel tests and correlograms indicated that this largest population exhibits a large-scale pattern of isolation-by-distance, with which results from MIGRATE-N agreed. The degree and significance of genetic divergence indicates that most sampled localities represent demographically independent sub-populations, although we did identify several recent migration events between both proximal and more distant localities. The levels of genetic diversity were heterogeneous across sites, including low genetic diversity, effective population sizes, and evidence of genetic bottlenecks in several places. On average the levels of gene diversity and rarefied allelic richness were higher for localities along the Amazonas mainstem than in the tributaries, despite these being the areas of highest fishing pressure, while the lowest values were found in tributary headwaters, where landscape modification is a significant threat. We recommend that managers consider the regional and local threats to these populations and tailor strategies accordingly, strategies which should ensure the ability of young A . gigas to disperse through floodplain corridors to maintain genetic diversity among otherwise sedentary adult sub-populations.

Arapaima gigas is one of the largest freshwater fishes of the world. It is socially monogamous, forming pairs, constructing a nest and providing parental care. We performed a paternity analysis under three scenarios in captive, semi-natural and natural areas using 10 microsatellite markers. As a positive control, we analyzed three pairs and their offspring isolated individually in artificial breeding ponds (a priori very high probability of monogamy). We then analyzed two samples of offspring from large artificial ponds with multiple adults but only one reproductive pair (a priori high probability of monogamy), two samples from semi-natural breeding station with multiple adults but only one reproductive pair (a priori high probability of monogamy), and a sample from a natural lake with multiple adults, some potentially breeding (a priori medium probability of monogamy). Analysis of patterns of Mendelian heredity suggested an extra-pair contribution for all broods except the positive controls. Similarly, results based on multilocus analysis estimated at least two sib-groups per nest. These results reject monogamy as a system of breeding in Arapaima gigas. From a management perspective, this behavior may be exploited to maintain genetic diversity in captive and as well in wild populations of Arapaima gigas.O pirarucu Arapaima gigas é um dos maiores peixes de água doce do mundo. É socialmente monogâmico, forma casais, constrói ninhos e fornece cuidado parental. Com o objetivo de acessar o sistema de acasalamento do pirarucu, analisamos três cenários: em áreas de cativeiro, semi-naturais e naturais, utilizando 10 marcadores microssatélites. Como controle positivo, analisamos três casais e suas ninhadas isolados em açudes individuais (probabilidade a priori muito alta de monogamia). A seguir, analisamos duas amostras de ninhadas de um açude com vários adultos, mas somente um casal reprodutivo (probabilidade a priori alta de monogamia), duas amostras de estação de criação semi-natural com vários adultos mas somente um casal reprodutivo (probabilidade a priori alta de monogamia), e uma amostra de lago natural com vários adultos alguns potencialmente em fase de reprodução (probabilidade a priori média de monogamia). Análises de padrões mendelianos de hereditariedade sugerem contribuição extra-par para todas as ninhadas, exceto as do controle positivo. Similarmente, resultados baseados em análises multilocus realizadas no programa KINALYZER estimaram pelo menos dois grupos-irmãos por ninhada. Nossos resultados rejeitam a monogamia como sistema de acasalamento em Arapaima gigas. Da perspectiva de manejo, esse comportamento pode ser explorado para manter a diversidade genética em cativeiro assim como em populações naturais de Arapaima gigas.

Many developing countries lack information to manage their endangered species, urging the need for affordable and reliable information. We used Bayesian hierarchical spatial models, with oceanographic variables, to predict the distribution range of Epinephelus marginatus, the dusky grouper, for the entire Southwest Atlantic. We ran a model using scientific information gathered from the literature and another using information gathered from fishers on species presence or absence. In both models, temperature was an important determinant of species occurrence. The predicted occurrence of the dusky grouper overlapped widely (Schoener’s D = 0.71; Warren’s I = 0.91) between the models, despite small differences on the southern and northern extremes of the distribution. These results suggest that basic information provided by fishers on species occurrence in their area can be reliable enough to predict species occurrence over large scales and can be potentially useful for marine spatial planning. Fishers’ knowledge may be an even more viable alternative to data collection than what was previously thought, for countries that both struggle with financial limitations and have urgent conservation needs.

People predict that AI agents will be as benevolent (cooperative) as humans People cooperate less with benevolent AI agents than with benevolent humans Reduced cooperation only occurs if it serves people's selfish interests People feel guilty when they exploit humans but not when they exploit AI agents