Pamela A. Green

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.

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.

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.

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.

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.