Authors

James Stegen, Pacific Northwest National LaboratoryFollow
Amy J. Burgin, Iowa State University
Michelle H. Busch, Iowa State University
Joshua B. Fisher, Chapman University
Joshua Ladau, Arva Intelligence Inc.
Jenna Abrahamson, North Carolina State University
Lauren Kinsman-Costello, Kent State University
Li Li, Penn State University
Xingyuan Chen, Pacific Northwest National Laboratory
Thibault Datry, EcoFlowS Lab
Nate McDowell, Pacific Northwest National Laboratory
Corianne Tatariw, Rowan University
Anna Braswell, University of Florida
Jillian M. Deines, Pacific Northwest National Laboratory
Julia A. Guimond, Woods Hole Oceanographic Institution
Peter Regier, Pacific Northwest National Laboratory
Kenton Rod, Pacific Northwest National Laboratory
Edward K. P. Bam, Mohammed VI Polytechnic University
Etienne Fluet-Chouinard, Pacific Northwest National Laboratory
Inke Forbrich, The Ecosystems Center
Kristin L. Jaeger, Washington Water Science Center
Teri O’Meara, Oak Ridge National Laboratory
Tim Scheibe, Pacific Northwest National Laboratory
Erin Seybold, Iowa State University
Jon N. Sweetman, Penn State University
Jianqiu Zheng, Pacific Northwest National Laboratory
Daniel C. Allen, Penn State University
Elizabeth Herndon, Oak Ridge National Laboratory
Beth A. Middleton, Wetland and Aquatic Research Center
Scott Painter, Oak Ridge National Laboratory
Kevin Roche, Boise State University
Julianne Scamardo, Utah State UniversityFollow
Ross Vander Vorste, University of Wisconsin–La Crosse
Kristin Boye, Stanford University
Ellen Wohl, Colorado State University
Margaret Zimmer, University of Wisconsin–Madison
Kelly Hondula, Arizona State University
Maggi Laan, Pacific Northwest National Laboratory
Anna Marshall, Colorado State University
Kaizad F. Patel, Pacific Northwest National Laboratory

Document Type

Article

Journal/Book Title/Conference

Biogeosciences

Volume

22

Issue

4

Publisher

Copernicus GmbH

Publication Date

2-24-2025

Journal Article Version

Version of Record

Keywords

syntheses, Reviews, terrestrial ecosystems, Variable inundation

First Page

995

Last Page

1034

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Abstract

The structure, function, and dynamics of Earth's terrestrial ecosystems are profoundly influenced by how often (frequency) and how long (duration) they are inundated with water. A diverse array of natural and human-engineered systems experience temporally variable inundation whereby they fluctuate between inundated and non-inundated states. Variable inundation spans extreme events to predictable sub-daily cycles. Variably inundated ecosystems (VIEs) include hillslopes, non-perennial streams, wetlands, floodplains, temporary ponds, tidal systems, storm-impacted coastal zones, and human-engineered systems. VIEs are diverse in terms of inundation regimes, water chemistry and flow velocity, soil and sediment properties, vegetation, and many other properties. The spatial and temporal scales of variable inundation are vast, ranging from sub-meter to whole landscapes and from sub-hourly to multi-decadal. The broad range of system types and scales makes it challenging to predict the hydrology, biogeochemistry, ecology, and physical evolution of VIEs. Despite all experiencing the loss and gain of an overlying water column, VIEs are rarely considered together in conceptual, theoretical, modeling, or measurement frameworks and approaches. Studying VIEs together has the potential to generate mechanistic understanding that is transferable across a much broader range of environmental conditions, relative to knowledge generated by studying any one VIE type. We postulate that enhanced transferability will be important for predicting changes in VIE function in response to global change. Here we aim to catalyze cross-VIE science that studies drivers and impacts of variable inundation across Earth's VIEs. To this end, we complement expert mini-reviews of eight major VIE systems with overviews of VIE-relevant methods and challenges associated with scale. We conclude with perspectives on how cross-VIE science can derive transferable understanding via unifying conceptual models in which the impacts of variable inundation are studied across multi-dimensional environmental space.

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