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5 results for “multiple hotspots”
Can fire-age mosaics really deal with conflicting needs of species? A study using population hotspots of multiple threatened birds
<p> Locations that support high densities of a species ("population hotspots") have a disproportionate influence on species' persistence. In fire-prone ecosystems, managers attempting to promote population hotspots of multiple species must understand how hotspot locations might shift with post-fire succession and how much overlap exists in the locations of population hotspots for multiple species. Mangers are then tasked with resolving fire-management conflicts in overlapping locations.</p> <p>We studied three co-occurring threatened bird species in a fire-prone 'mallee' region of south-eastern Australia. We undertook field surveys for each species (1508 surveys; 540 sites; 9-ha each). We used N-mixture models to determine (a) what factors affect species' density (including post-fire succession); (b) species' population sizes; (c) locations of species' current population hotspots and locations that may become population hotspots in the future as the post-fire successional state changes and (d) the degree of overlap in the current and possible future hotspots of species.</p> <p>We found substantial variation in the densities of the three species across the study area, with roughly half of each species' population occurring in only 20 percent of potential habitat (i.e. population hotspots). All species shared a preference for subtle depressions in the landscape, resulting in substantial overlap in their population hotspots. Two species had contrasting responses to post-fire succession in the subtle depressions. As a result, there was only a narrow post-fire period that supported population hotspots of both species, creating a challenge for fire managers in these shared locations.</p> <p><em>Synthesis and Applications.</em> Many studies make vague recommendations for fire-age mosaics that do not provide managers with the detail they need to implement appropriate fire-age mosaics. By contrast, we explicitly quantify, then balance the conflicting post-fire needs of species in locations that support population hotspots of multiple species. Using this approach, we develop principles to guide the implementation of fire-age mosaics in such locations. This approach represents a step towards applying fire-age mosaic theory to support effective species conservation.</p>
Can fire-age mosaics really deal with conflicting needs of species? A study using population hotspots of multiple threatened birds
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Data from: Carving out turf in a biodiversity hotspot: multiple, previously unrecognized shrew species co-occur on Java Island, Indonesia
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Data from: Identification of multiple QTL hotspots in sockeye salmon (Oncorhynchus nerka) using genotyping-by-sequencing and a dense linkage map
Understanding the genetic architecture of phenotypic traits can provide important information about the mechanisms and genomic regions involved in local adaptation and speciation. Here, we used genotyping-by-sequencing and a combination of previously published and newly generated data to construct sex-specific linkage maps for sockeye salmon (Oncorhynchus nerka). We then used the denser female linkage map to conduct quantitative trait locus (QTL) analysis for 4 phenotypic traits in 3 families. The female linkage map consisted of 6322 loci distributed across 29 linkage groups and was 4082 cM long, and the male map contained 2179 loci found on 28 linkage groups and was 2291 cM long. We found 26 QTL: 6 for thermotolerance, 5 for length, 9 for weight, and 6 for condition factor. QTL were distributed nonrandomly across the genome and were often found in hotspots containing multiple QTL for a variety of phenotypic traits. These hotspots may represent adaptively important regions and are excellent candidates for future research. Comparing our results with studies in other salmonids revealed several regions with overlapping QTL for the same phenotypic trait, indicating these regions may be adaptively important across multiple species. Altogether, our study demonstrates the utility of genomic data for investigating the genetic basis of important phenotypic traits. Additionally, the linkage map created here will enable future research on the genetic basis of phenotypic traits in salmon.
Data from: Identification of multiple QTL hotspots in sockeye salmon (Oncorhynchus nerka) using genotyping-by-sequencing and a dense linkage map
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OpenNeuro
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