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Silva Uusi-Heikkilä

Researcher at University of Jyväskylä

Publications -  32
Citations -  1263

Silva Uusi-Heikkilä is an academic researcher from University of Jyväskylä. The author has contributed to research in topics: Population & Reproductive success. The author has an hindex of 16, co-authored 28 publications receiving 1045 citations. Previous affiliations of Silva Uusi-Heikkilä include Virginia Tech College of Natural Resources and Environment & University of Turku.

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A behavioral perspective on fishing-induced evolution

TL;DR: It is argued that fishing-induced selection directly acting on behavioral rather than on life-history traits per se can be expected in all fisheries that operate with passive gears such as trapping, angling and gill-netting.
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The evolutionary legacy of size-selective harvesting extends from genes to populations

TL;DR: The results provided unambiguous evidence for rapid, harvest‐induced phenotypic and evolutionary change when harvesting is intensive and size selective, and the evolutionary legacy of size‐selective harvesting includes populations that are productive under exploited conditions, but selectively disadvantaged to cope with natural selection pressures that often favor large body size.
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Evolutionary impact assessment: accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management.

TL;DR: The evolutionary impact assessment (EvoIA) is described as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options.
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Can fisheries-induced evolution shift reference points for fisheries management?

TL;DR: In this paper, a qualitative analysis suggests that all commonly used reference points are susceptible to shifting through fisheries-induced evolution, including the limit and "precautionary" reference points for spawning stock biomass, B_lim and B_pa, and the target reference point for fishing mortality, F_0.1.
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Comparing RADseq and microsatellites for estimating genetic diversity and relatedness - Implications for brown trout conservation.

TL;DR: Comparing the performance of SNPs obtained by restriction‐site‐associated DNA sequencing (RADseq) and 16 DNA microsatellite loci for estimating genetic diversity, relatedness and genetic differentiation of three, small, geographically close wild brown trout populations and a regionally used hatchery strain indicated that moderately polymorphic microsatellites and SNPs from RADseq agreed on estimates of population genetic structure in moderately diverged, small populations.