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Applied Climate-Change Analysis: The Climate Wizard Tool

Overview of attention for article published in PLOS ONE, December 2009
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396 Mendeley
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Title
Applied Climate-Change Analysis: The Climate Wizard Tool
Published in
PLOS ONE, December 2009
DOI 10.1371/journal.pone.0008320
Pubmed ID
Authors

Evan H. Girvetz, Chris Zganjar, George T. Raber, Edwin P. Maurer, Peter Kareiva, Joshua J. Lawler

Abstract

Although the message of "global climate change" is catalyzing international action, it is local and regional changes that directly affect people and ecosystems and are of immediate concern to scientists, managers, and policy makers. A major barrier preventing informed climate-change adaptation planning is the difficulty accessing, analyzing, and interpreting climate-change information. To address this problem, we developed a powerful, yet easy to use, web-based tool called Climate Wizard (http://ClimateWizard.org) that provides non-climate specialists with simple analyses and innovative graphical depictions for conveying how climate has and is projected to change within specific geographic areas throughout the world.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Canada 4 1%
Germany 3 <1%
United Kingdom 3 <1%
Italy 2 <1%
Spain 2 <1%
South Africa 1 <1%
Finland 1 <1%
France 1 <1%
Other 8 2%
Unknown 358 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 110 28%
Student > Ph. D. Student 72 18%
Student > Master 39 10%
Student > Doctoral Student 22 6%
Student > Bachelor 20 5%
Other 89 22%
Unknown 44 11%
Readers by discipline Count As %
Environmental Science 137 35%
Agricultural and Biological Sciences 100 25%
Earth and Planetary Sciences 36 9%
Engineering 19 5%
Social Sciences 15 4%
Other 30 8%
Unknown 59 15%