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Sharp gene pool transition in a population affected by phenotype-based selective hunting

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TLDR
This article used a modified version of the Penna model to study the effect of selective hunting on the gene pool of bighorn sheep living in the Ram Mountain region, in Canada.
Abstract
We use a microscopic model of population dynamics, a modified version of the well known Penna model, to study some aspects of microevolution. This research is motivated by recent reports on the effect of selective hunting on the gene pool of bighorn sheep living in the Ram Mountain region, in Canada. Our model finds a sharp transition in the structure of the gene pool as some threshold for the number of animals hunted is reached.

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Molecular ecological approaches to studying the evolutionary impact of selective harvesting in wildlife.

TL;DR: Effective wildlife management practice needs to consider more than the direct impact of harvesting on population dynamics, and programs that utilize molecular genetic tools will be better positioned to assess the long‐term evolutionary impact of artificial selection on the evolutionary trajectory and viability of harvested populations.
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Evolution of biodiversity and sympatric speciation through competition in a unimodal distribution of resources

TL;DR: A microscopic agent-based dynamical model for diploid age-structured populations is used to study the evolution of biodiversity and sympatric speciation and identifies the regions where an autonomous emergence of stable biodiversity or speciation is more likely.
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An individual-based model applied to the study of different fishing strategies of Pintado Pseudoplatystoma corruscans (Agassiz, 1829).

TL;DR: Simulation of the population dynamics of the Pintado Pseudoplatystoma corruscans, one of the main commercial species of freshwater fish in Brazil, shows that selective fishing based on the different proposed selectivity curves can result in an evolution-mediated increase in the growth rate of the fish, the biomass and the catch.
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An individual-based model for evolutionary effects of selective fishing applied to Pseudoplatystoma corruscans

TL;DR: An individual-based model that takes into account the evolutionary effects of selective fishing on exploited populations is proposed that is an adaptation of the Penna model based on the biology of exploited species and characteristics of fishing.
References
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Journal ArticleDOI

Humans as the World's Greatest Evolutionary Force

TL;DR: Slowing and controlling arms races in disease and pest management have been successful in diverse ecological and economic systems, illustrating how applied evolutionary principles can help reduce the impact of humankind on evolution.
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Sustaining Fisheries Yields Over Evolutionary Time Scales

TL;DR: This work subjected populations of an exploited fish to large, small, or random size-selective harvest of adults over four generations, finding that large-harvested populations initially produced the highest catch but quickly evolved a lower yield than controls.
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Fishing, selection, and phenotypic evolution

TL;DR: Fisheries managers should be alert to the evolutionary change caused by fishing, because such changes are likely to be hard to reverse and, if properly controlled, could bring about an evolutionary gain in yield.
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Undesirable evolutionary consequences of trophy hunting

TL;DR: Declines in mean breeding values for weight and horn size have declined significantly over time in an evolutionary response to sport hunting of bighorn trophy rams, resulting in the production of smaller-horned, lighter rams and fewer trophies.
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Evolutionarily enlightened management

TL;DR: It is argued that evolutionary thinking is thus relevant to conservation biology and resource management but has received insufficient consideration, and advocate promoting evolutionarily enlightened management, in which both the ecological and evolutionary consequences of resource management decisions are considered.