
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
The call of the emperor penguin: Legal responses to species threatened by climate change

AbstractSpecies extinction risk is accelerating due to anthropogenic climate change, making it urgent to protect vulnerable species through legal frameworks in order to facilitate conservation actions that help mitigate risk. Here, we discuss fundamental concepts for assessing climate change risks to species using the example of the emperor penguin (Aptenodytes forsteri), currently being considered for protection under the US Endangered Species Act (ESA). This species forms colonies on Antarctic sea ice, which is projected to significantly decline due to ongoing greenhouse gas (GHG) emissions. We project the dynamics of all known emperor penguin colonies under different GHG emission scenarios using a climate‐dependent meta‐population model including the effects of extreme climate events based on the observational satellite record of colonies. Assessments for listing species under the ESA require information about how species resiliency, redundancy and representation (3Rs) will be affected by threats within the foreseeable future. Our results show that if sea ice declines at the rate projected by climate models under current energy system trends and policies, the 3Rs would be dramatically reduced and almost all colonies would become quasi‐extinct by 2100. We conclude that the species should be listed as threatened under the ESA.
- University College London United Kingdom
- Département Sciences sociales, agriculture et alimentation, espace et environnement France
- Centre national de la recherche scientifique France
- Institut National des Sciences de l'Univers France
- National Snow and Ice Data Center (NSIDC), Boulder, CO, USA United States
IMPACTS, [SDE] Environmental Sciences, 570, Climate Change, Biodiversity & Conservation, CONSERVATION, 590, APTENODYTES FORSTERI, Antarctic Regions, Environmental Sciences & Ecology, sea ice projections, scientific uncertainty, SEA-ICE EXTENT, Extinction, Biological, 333, ROSS SEA, MANAGEMENT, Animals, Ice Cover, HABITAT, treatment of scientific uncertainty, Science & Technology, Ecology, redundancy and representation (3Rs), resiliency, Primary Research Articles, Spheniscidae, MODEL, PLEURAGRAMMA-ANTARCTICUM, EXTINCTION, climate risk assessments, foreseeable future, [SDE]Environmental Sciences, sea ice projections species distribution, Endangered Species Act, Biodiversity Conservation, species distribution, population projections, Life Sciences & Biomedicine, Environmental Sciences
IMPACTS, [SDE] Environmental Sciences, 570, Climate Change, Biodiversity & Conservation, CONSERVATION, 590, APTENODYTES FORSTERI, Antarctic Regions, Environmental Sciences & Ecology, sea ice projections, scientific uncertainty, SEA-ICE EXTENT, Extinction, Biological, 333, ROSS SEA, MANAGEMENT, Animals, Ice Cover, HABITAT, treatment of scientific uncertainty, Science & Technology, Ecology, redundancy and representation (3Rs), resiliency, Primary Research Articles, Spheniscidae, MODEL, PLEURAGRAMMA-ANTARCTICUM, EXTINCTION, climate risk assessments, foreseeable future, [SDE]Environmental Sciences, sea ice projections species distribution, Endangered Species Act, Biodiversity Conservation, species distribution, population projections, Life Sciences & Biomedicine, Environmental Sciences
citations 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).41 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.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
