This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
The puzzling yet tractable diversity of global groundwater sustainability challenges
Downloads
Authors
Abstract
Global groundwater sustainability is a grand challenge that requires diverse approaches to account for local contexts. Yet, global groundwater assessments often focus solely on aggregate physical trends in storage, levels, and fluxes, overlooking the diversity of social-ecological functions provided by groundwater and their associated sustainability challenges. Here, we introduce groundwater sustainability puzzles as a concept and approach to identify distinct configurations of groundwater challenges within heterogeneous landscapes. Synthesizing 17 global datasets on groundwater functions and management problems, we map more than 200 puzzles worldwide, each representing a specific and spatially defined setting in which sustainability transformations must take root. Notably, half of global land area, population, and crop production situate within 20 or fewer puzzles respectively. This puzzle typology presents the most comprehensive assessment to date of the multi-dimensional composition of global groundwater challenges and offers a tool to facilitate cross-regional learning and network formation across similar contexts.
DOI
https://doi.org/10.31223/X56N16
Subjects
Geographic Information Sciences, Hydrology, Natural Resources and Conservation, Natural Resources Management and Policy, Physical and Environmental Geography, Remote Sensing, Sustainability, Water Resource Management
Keywords
Dates
Published: 2025-12-04 20:07
Last Updated: 2025-12-04 20:07
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability (Reason not available):
All scripts are available on the study’s GitHub repository: https://github.com/XanderHuggins/global-puzzles/ . These scripts will be archived alongside the groundwater sustainability puzzle raster on Borealis (https://borealisdata.ca), the Canadian Dataverse Repository, following manuscript acceptance.
There are no comments or no comments have been made public for this article.