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Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development

Overview of attention for article published in PLOS ONE, July 2012
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Title
Wind and Wildlife in the Northern Great Plains: Identifying Low-Impact Areas for Wind Development
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041468
Pubmed ID
Authors

Joseph Fargione, Joseph Kiesecker, M. Jan Slaats, Sarah Olimb

Abstract

Wind energy offers the potential to reduce carbon emissions while increasing energy independence and bolstering economic development. However, wind energy has a larger land footprint per Gigawatt (GW) than most other forms of energy production and has known and predicted adverse effects on wildlife. The Northern Great Plains (NGP) is home both to some of the world's best wind resources and to remaining temperate grasslands, the most converted and least protected ecological system on the planet. Thus, appropriate siting and mitigation of wind development is particularly important in this region. Steering energy development to disturbed lands with low wildlife value rather than placing new developments within large and intact habitats would reduce impacts to wildlife. Goals for wind energy development in the NGP are roughly 30 GW of nameplate capacity by 2030. Our analyses demonstrate that there are large areas where wind development would likely have few additional impacts on wildlife. We estimate there are ∼1,056 GW of potential wind energy available across the NGP on areas likely to have low-impact for biodiversity, over 35 times development goals. New policies and approaches will be required to guide wind energy development to low-impact areas.

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Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Ghana 1 <1%
Portugal 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Unknown 127 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 30%
Student > Master 22 16%
Student > Ph. D. Student 16 12%
Other 11 8%
Student > Bachelor 8 6%
Other 17 13%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 37%
Environmental Science 30 22%
Engineering 7 5%
Unspecified 5 4%
Earth and Planetary Sciences 5 4%
Other 12 9%
Unknown 26 19%