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The Hastings Center Report
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Conservation Genetics, Precision Conservation, and De‐extinction

Authors: Rob, Desalle; George, Amato;

Conservation Genetics, Precision Conservation, and De‐extinction

Abstract

AbstractIt has been estimated that three species on the planet now go extinct every hour and that this rate is orders of magnitude higher than the planet has seen in previous catastrophic extinction events. We clearly are in the midst of a sixth extinction, and this one is different from the previous five. Why? This sixth extinction is caused by the activity of a single species—us. If there is any hope of ameliorating this extinction, it will entirely be up to us, as the current stewards of this planet, to change the course. There are many challenges, though, to marshaling this effort. Two primary ones immediately come to mind. The first is that we simply haven't found the right biological tools to address this crisis. The second is that many humans on this planet don't even admit we have a problem. These are two very different problems.The first is primarily technological. Only recently has some of the more advanced biologically focused technology been available to conservation biology and extinction science. Humans are enthralled by cutting‐edge technology for the most part, and for the public, one of the more exciting possibilities in the realm of conservation biology is that some of the more charismatic species that have gone extinct might be resurrected through next‐generation technologies. While our discussion will articulate some weaknesses with the de‐extinction approach to conservation biology, we suggest that the “sexiness” of the technologies used in de‐extinction may simultaneously provide a definition of the techniques viable in conservation biology and afford a teachable moment.

Keywords

Gene Editing, Conservation of Natural Resources, Endangered Species, Biodiversity, Genomics, Extinction, Biological, Morals, Reproductive Techniques, Public Opinion, Humans, Synthetic Biology

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
bronze