Niche partitioning by sympatric civets in the Himalayan foothills of Pakistan.

Niche overlap between sympatric species can indicate the extent of interspecific competition. Sympatric competing species can exhibit spatial, temporal, and dietary adjustments to reduce competition. We investigated spatial, temporal, and dietary niche overlap of sympatric Asian palm civet (Paradoxurus hermaphroditus) and small Indian civet ( Viverricula indica), in and around Pir Lasura National Park, Pakistan. We used remote cameras to determine the frequency and timing of detections to estimate spatial and temporal overlap, and prey remains from scats to estimate dietary overlap. We collected scat samples of Asian palm civet (n = 108) and small Indian civet (n = 44) for dietary analysis. We found low spatial (Oij = 0.32) and temporal (Δ = 0.39) overlap, but high dietary niche overlap (0.9) between these two civet species. Both civet species were detected at only 11 camera sites and small Indian civets were detected most frequently during 2:00-5:00 h and 8:00-10:00 h, whereas Asian palm civets detections were greatest during 20:00-2:00 h. The overall niche breadth of Asian palm civet was slightly narrower (L = 9.69, Lst = 0.31) than that of the small Indian civet (L = 10, Lst = 0.52). We identified 27 dietary items (15 plant, 12 animal) from scats of Asian palm civet including Himalayan pear (Pyrus pashia; 27%), Indian gerbil (Tatera indica; 10%), Rhesus monkey (Macaca mulatta; 4%), and insects (5%). Scat analysis of small Indian civets revealed 17 prey items (eight plant, nine animal) including Himalayan pear (24%), domestic poultry (15%), Indian gerbil (11%), and house mouse (Mus musculus; 5%). Both civet species consumed fruits of cultivated orchard species. Spatial and temporal partitioning of landscapes containing diverse foods appears to facilitate coexistence between Asian palm civets and small Indian civets.

Evaluating the outcomes of genetic rescue attempts.

Augmenting gene flow is a powerful tool for the conservation of small, isolated populations. However, genetic rescue attempts have largely been limited to populations at the brink of extinction, in part due to concerns over negative outcomes (e.g., outbreeding depression). Increasing habitat fragmentation may necessitate more proactive genetic management. Broader application of augmented gene flow will, in turn, require rigorous evaluation to increase confidence and identify pitfalls in this approach. To date, there has been no assessment of best monitoring practices for genetic rescue attempts. We used genomically explicit, individual-based simulations to examine the effectiveness of common approaches (i.e., tests for increases in fitness, migrant ancestry, heterozygosity, and abundance) for determining whether genetic rescue or outbreeding depression occurred. Statistical power to detect the effects of gene flow on fitness was high (≥0.8) when effect sizes were large, a finding consistent with those from previous studies on severely inbred populations. However, smaller effects of gene flow on fitness can appreciably affect persistence probability but current evaluation approaches fail to provide results from which reliable inferences can be drawn. The power of the metrics we examined to evaluate genetic rescue attempts depended on the time since gene flow and whether gene flow was beneficial or deleterious. Encouragingly, the use of multiple metrics provided nonredundant information and improved inference reliability, highlighting the importance of intensive monitoring efforts. Further development of best practices for evaluating genetic rescue attempts will be crucial for a responsible transition to increased use of translocations to decrease extinction risk.

Evaluación de los Resultados de los Intentos de Rescate Genético Resumen El aumento del flujo génico es una herramienta poderosa para la conservación de poblaciones pequeñas y aisladas. Sin embargo, los intentos de rescate genético en su mayoría se han limitado a las poblaciones que se encuentran al borde de la extinción, en parte debido a la preocupación que existe por los resultados negativos (es decir, la depresión exogámica). La creciente fragmentación del hábitat puede requerir un manejo genético más proactivo. La aplicación más extensa del flujo génico aumentado requerirá a su vez una evaluación rigurosa para incrementar la confianza e identificar las dificultades de esta estrategia. A la fecha, no ha habido una evaluación de las mejores prácticas de monitoreo para los intentos de rescate genético. Usamos simulaciones explícitas basadas en individuos para examinar la efectividad de las estrategias comunes (es decir, análisis del incremento en adaptabilidad, ascendencia migratoria, heterocigosidad y abundancia) para determinar si ocurrió el rescate genético o la depresión exogámica. El poder estadístico para detectar los efectos del flujo génico sobre la adaptabilidad fue elevado (≥0.8) cuando el tamaño de los efectos fue grande, un hallazgo consistente con aquellos realizados en estudios previos sobre poblaciones con una endogamia severa. Sin embargo, los efectos menores del flujo génico sobre la adaptabilidad pueden afectar de manera apreciable la probabilidad de persistencia, pero las estrategias actuales de evaluación no proporcionan resultados de los cuales se puedan hacer inferencias confiables. El poder de las medidas que examinamos para evaluar los intentos de rescate genético dependió del tiempo desde que inició el flujo génico y de si el flujo génico fue benéfico o perjudicial. De manera alentadora, el uso de múltiples medidas proporcionó información no redundante y mejoró la confiabilidad de la inferencia, resaltando así la importancia de los esfuerzos intensivos de monitoreo. El futuro desarrollo de mejores prácticas para la evaluación de los intentos de rescate genético será de suma importancia para la transición responsable hacia el mayor uso de reubicaciones para reducir el riesgo de extinción.

Population Genomics Training for the Next Generation of Conservation Geneticists: ConGen 2018 Workshop.

The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled "ConGen 2018" was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.