Win-Win for Wind and Wildlife: A Vision to Facilitate Sustainable Development
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{"title"=>"Win-win for wind and wildlife: A vision to facilitate sustainable development", "type"=>"journal", "authors"=>[{"first_name"=>"Joseph M.", "last_name"=>"Kiesecker", "scopus_author_id"=>"7003392079"}, {"first_name"=>"Jeffrey S.", "last_name"=>"Evans", "scopus_author_id"=>"14043397000"}, {"first_name"=>"Joe", "last_name"=>"Fargione", "scopus_author_id"=>"6506206100"}, {"first_name"=>"Kevin", "last_name"=>"Doherty", "scopus_author_id"=>"22033926300"}, {"first_name"=>"Kerry R.", "last_name"=>"Foresman", "scopus_author_id"=>"6603298924"}, {"first_name"=>"Thomas H.", "last_name"=>"Kunz", "scopus_author_id"=>"7005472327"}, {"first_name"=>"Dave", "last_name"=>"Naugle", "scopus_author_id"=>"7004390513"}, {"first_name"=>"Nathan P.", "last_name"=>"Nibbelink", "scopus_author_id"=>"6603294329"}, {"first_name"=>"Neal D.", "last_name"=>"Niemuth", "scopus_author_id"=>"6603752958"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"21533285", "sgr"=>"79954577492", "doi"=>"10.1371/journal.pone.0017566", "scopus"=>"2-s2.0-79954577492", "pui"=>"361623142", "isbn"=>"1932-6203", "issn"=>"19326203"}, "id"=>"faab4e29-6878-3ebf-9d8b-d50973493605", "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, making appropriate siting and mitigation particularly important. Species that require large unfragmented habitats and those known to avoid vertical structures are particularly at risk from wind development. Developing energy on disturbed lands rather than placing new developments within large and intact habitats would reduce cumulative impacts to wildlife. The U.S. Department of Energy estimates that it will take 241 GW of terrestrial based wind development on approximately 5 million hectares to reach 20% electricity production for the U.S. by 2030. We estimate there are ~7,700 GW of potential wind energy available across the U.S., with ~3,500 GW on disturbed lands. In addition, a disturbance-focused development strategy would avert the development of ~2.3 million hectares of undisturbed lands while generating the same amount of energy as development based solely on maximizing wind potential. Wind subsidies targeted at favoring low-impact developments and creating avoidance and mitigation requirements that raise the costs for projects impacting sensitive lands could improve public value for both wind energy and biodiversity conservation.", "link"=>"http://www.mendeley.com/research/winwin-wind-wildlife-vision-facilitate-sustainable-development", "reader_count"=>186, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>63, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>27, "Student > Postgraduate"=>6, "Other"=>19, "Student > Master"=>24, "Student > Bachelor"=>28, "Professor"=>7, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>63, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>27, "Student > Postgraduate"=>6, "Other"=>19, "Student > Master"=>24, "Student > Bachelor"=>28, "Professor"=>7, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>81, "Business, Management and Accounting"=>3, "Veterinary Science and Veterinary Medicine"=>2, "Computer Science"=>3, "Decision Sciences"=>1, "Earth and Planetary Sciences"=>3, "Economics, Econometrics and Finance"=>1, "Engineering"=>23, "Environmental Science"=>52, "Materials Science"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>2, "Physics and Astronomy"=>1, "Psychology"=>1, "Social Sciences"=>5}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>5}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>52}, "Engineering"=>{"Engineering"=>23}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>3}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>81}, "Computer Science"=>{"Computer Science"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "reader_count_by_country"=>{"Czech Republic"=>1, "United States"=>11, "Brazil"=>2, "South Africa"=>1, "United Kingdom"=>3, "Ghana"=>1, "Australia"=>1, "Portugal"=>4}, "group_count"=>17}

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Figshare

  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/783237/Figure_1.tif"], "description"=>"<p>We focused on the 31 states that comprise the majority of the DOE vision, excluding states (grey) with less than 1 GW of projected development <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0017566#pone.0017566-Department1\" target=\"_blank\">[1]</a>. Inset table with 31 focal states, their DOE projections (in GW), Total available wind energy (in GW), wind energy available on disturbed lands (in GW), percent of DOE vision that can be met on disturbed land and amount of undisturbed lands that a disturbance focused development scenario would avert (in square kilometers).</p>", "links"=>[], "tags"=>["continental", "states", "doe", "targets", "cannot", "met", "disturbed"], "article_id"=>453592, "categories"=>["Ecology"], "users"=>["Joseph M. Kiesecker", "Jeffrey S. Evans", "Joe Fargione", "Kevin Doherty", "Kerry R. Foresman", "Thomas H. Kunz", "Dave Naugle", "Nathan P. Nibbelink", "Neal D. Niemuth"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0017566.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Map_of_continental_U_S_with_states_where_DOE_targets_can_blue_and_cannot_red_be_met_on_disturbed_lands_/453592", "title"=>"Map of continental U.S. with states where DOE targets can (blue) and cannot (red) be met on disturbed lands.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 19:10:03"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/783411/Figure_2.tif"], "description"=>"<p>Bubbles indicate where DOE goals can (blue) and cannot (red) be met on disturbed lands. Bubble area indicates total GW of wind potential available in the state (Range 0.37 GW in TN to 902 GW in MT). Inset graph shows potential GW wind production for the entire U.S. and potential on disturbed lands relative to the DOE 20% projection.</p>", "links"=>[], "tags"=>["wind-generated", "giga-watts", "doe", "met", "disturbed"], "article_id"=>453773, "categories"=>["Ecology"], "users"=>["Joseph M. Kiesecker", "Jeffrey S. Evans", "Joe Fargione", "Kevin Doherty", "Kerry R. Foresman", "Thomas H. Kunz", "Dave Naugle", "Nathan P. Nibbelink", "Neal D. Niemuth"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0017566.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Available_wind_generated_Giga_watts_GW_in_each_state_as_a_function_of_the_DOE_goal_and_percentage_of_the_DOE_goal_that_can_be_met_on_disturbed_land_/453773", "title"=>"Available wind-generated Giga-watts (GW) in each state as a function of the DOE goal and percentage of the DOE goal that can be met on disturbed land.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 19:11:07"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/783551/Figure_3.tif"], "description"=>"<p>For simplicity we have only included states where disturbance focused development would result in an increased area needed to meet the DOE projections. For all other states there is either not an increase in land needed or the state is unable to meet DOE projections on disturbed lands.</p>", "links"=>[], "tags"=>["kilometers", "doe", "projections", "disturbance", "restricted", "unconstrained"], "article_id"=>453910, "categories"=>["Ecology"], "users"=>["Joseph M. Kiesecker", "Jeffrey S. Evans", "Joe Fargione", "Kevin Doherty", "Kerry R. Foresman", "Thomas H. Kunz", "Dave Naugle", "Nathan P. Nibbelink", "Neal D. Niemuth"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0017566.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Minimum_number_of_square_kilometers_needed_to_meet_DOE_projections_for_disturbance_restricted_blue_or_unconstrained_red_scenarios_/453910", "title"=>"Minimum number of square kilometers needed to meet DOE projections for disturbance restricted (blue) or unconstrained (red) scenarios.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 19:11:49"}

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Relative Metric

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