Revisiting Hydrologic Sampling Strategies for an Accurate Assessment of Hydrologic Connectivity in Humid Temperate Systems

Bibliographic Data

ID5877599
AuthorsGeneviève A Ali, Genevieve Ali (0000-0001-5144-8188, Université du Québec à Montréal), André G Roy (Université du Québec à Montréal)
Year2009
Volume3
Issue1
Pages350-374
Publication date2009-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeography Compass (JOURNAL)
Journal identifiersISSN: 1749-8198 • E-ISSN: 1749-8198
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1749-8198.2008.00180.x
OpenAlexW2109628544
LanguageEN
Citations received2
References cited78

Hydrologic connectivity is crucial to our understanding of catchment dynamics, yet there is no consensus among hydrologists about what it is exactly, nor is there any unambiguous way of assessing it from field observations. This review is articulated around the questions: (i) what are the main variables to investigate? and (ii) what is the optimal sampling strategy for hydrologic connectivity prediction in humid temperate systems? Because there are multiple definitions for the concept of connectivity, we first identify the major variables to monitor. Then, the ability of several sampling schemes to meet specific criteria is assessed. None of the schemes fully complies with the criteria even if they are combined in a strategic way, and their individual performance is highly dependent on data resolution. While a two-stage sampling is recommended, it reflects the difficulty in depicting the complex spatial patterns in hydrologic connectivity

Cartography · Climatology · Drainage basin · Environmental resource management · Geography · Hydrological modelling · Temperate climate · Computer Science · Cryospheric studies and observations · Environmental Science · Flood Risk Assessment and Management · Hydrology and Watershed Management Studies · Mathematics · Ecology · Geology

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