ArticleJournal of hydrology: X2018
A watershed-scale model for depressional wetland-rich landscapes.
Article in Journal of hydrology: X, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Uncertainties in the determination of water storage changes of a shallow groundwater site using profile probe-measured volumetric water contents.Environmental monitoring and assessment · 2025Article
- Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures.Wetlands ecology and management · 2025Article
- Mapping global non-floodplain wetlands.Earth system science data · 2023Article
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States.Earth-science reviews · 2022Article
- Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions.Water resources research · 2020Article
- Modeling Connectivity of Non-floodplain Wetlands: Insights, Approaches, and Recommendations.Journal of the American Water Resources Association · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Wetlands are often dominant features in low relief, depressional landscapes and provide an array of hydrologically driven ecosystem services. However, contemporary models do not adequately represent the role of spatially distributed wetlands in watershed-scale water storage and flows. Such tools are critical to better understand wetland hydrological, biogeochemical, and biological functions and predict management and policy outcomes at varying spatial scales. To develop a new approach for simulating depressional landscapes, we modified the Soil and Water Assessment Tool (SWAT) model to incorporate improved representations of depressional wetland structure and hydrological processes. Specifically, we refined the model to incorporate: (1) water storage capacity and surface flowpaths of individual wetlands and (2) local wetland surface and subsurface exchange. We utilized this model, termed SWAT-DSF (DSF for Depressional Storage and Flows), to simulate the ~289 km
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.