<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Adam T Ford</dc:contributor>
  <dc:contributor>Michael Proctor</dc:contributor>
  <dc:contributor>J. Andrew Royle</dc:contributor>
  <dc:contributor>Garth Mowat</dc:contributor>
  <dc:creator>Clayton T. Lamb</dc:creator>
  <dc:date>2019</dc:date>
  <dc:description>The Anthropocene is an era of marked human impact on the world. Quantifying these impacts 51 has become central to understanding the dynamics of coupled human-natural systems, resource52 dependent livelihoods, and biodiversity conservation. Ecologists are facing growing pressure to 53 quantify the size, distribution, and trajectory of wild populations in a cost-effective and socially54 acceptable manner. Genetic tagging, combined with modern computational and genetic analyses, 55 is an under-utilized tool to meet this demand, especially for wide-ranging, elusive, sensitive, and 56 low-density species. Genetic tagging studies are now revealing unprecedented insight into the 57 mechanisms that control the density, trajectory, connectivity and human-wildlife conflict for 58 populations over vast spatial scales. Here we outline the application of, and ecological inferences 59 from, new analytical techniques applied to genetically-tagged individuals, contrast this approach 60 with conventional methods, and describe how genetic tagging can be better applied to address 61 outstanding questions in ecology. We provide example analyses using a long-term genetic 62 tagging dataset of grizzly bears in the Canadian Rockies. The genetic tagging toolbox is a 63 powerful and overlooked ensemble that ecologists and conservation biologists can leverage to 64 generate evidence and meet the challenges of the Anthropocene.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1002/eap.1876</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>ESA</dc:publisher>
  <dc:title>Genetic tagging in the Anthropocene: Scaling ecology from alleles to ecosystems</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>