P
Pamela A. Green
Researcher at City College of New York
Publications - 13
Citations - 11969
Pamela A. Green is an academic researcher from City College of New York. The author has contributed to research in topics: Population & Water security. The author has an hindex of 10, co-authored 12 publications receiving 10346 citations. Previous affiliations of Pamela A. Green include Analysis Group & University of New Hampshire.
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Journal ArticleDOI
Global threats to human water security and river biodiversity
Charles J. Vörösmarty,Peter B. McIntyre,Peter B. McIntyre,Mark O. Gessner,David Dudgeon,Alexander A. Prusevich,Pamela A. Green,Stanley Glidden,Stuart E. Bunn,Caroline A Sullivan,C. Reidy Liermann,Peter Davies +11 more
TL;DR: The first worldwide synthesis to jointly consider human and biodiversity perspectives on water security using a spatial framework that quantifies multiple stressors and accounts for downstream impacts is presented.
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Global Water Resources: Vulnerability from Climate Change and Population Growth
TL;DR: Numerical experiments combining climate model outputs, water budgets, and socioeconomic information along digitized river networks demonstrate that (i) a large proportion of the world's population is currently experiencing water stress and (ii) rising water demands greatly outweigh greenhouse warming in defining the state of global water systems to 2025.
Journal ArticleDOI
Erratum: Global threats to human water security and river biodiversity
Charles J. Vörösmarty,Peter B. McIntyre,Mark O. Gessner,David Dudgeon,Alexander A. Prusevich,Pamela A. Green,Stanley Glidden,Stuart E. Bunn,Caroline A Sullivan,C. Reidy Liermann,Peter Davies +10 more
TL;DR: In this paper, the full present address for author P. B. McIntyre was inadvertently missing from the bottom of the page and the correct present address is: Center for Limnology, University of Wisconsin, Madison, Wisconsin 53706, USA.
Journal ArticleDOI
Geospatial Indicators of Emerging Water Stress: An Application to Africa
TL;DR: This study demonstrates the use of globally available Earth system science data sets for water assessment in otherwise information-poor regions of the world and develops explicit geospatial indicators that link biogeophysical, socioeconomic, and engineering perspectives constitutes an important next step in global water assessment.
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A New Typology for Mountains and Other Relief Classes: An Application to Global Continental Water Resources and Population Distribution
TL;DR: In this paper, a new classification of 15 relief patterns at the global scale combines a relief roughness indicator and the maximum altitude at a resolution of 30′ × 30′ is proposed.