Evidence map›Paper›PMID 39380641›Full record

ArticleEnvironmental modelling & software : with environment data news2024

Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA.

Kar'retta Venable, John M Johnston, Stephen D LeDuc, Lourdes Prieto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental modelling & software : with environment data news, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kar'retta VenableUS Environmental Protection Agency (EPA), Office of Research and Development, Center for Environmental Measurement and Modeling, Ecosystem Processes Division, Landscape and Aquatic Systems Modeling Branch, 960 College Station Road, Athens, GA, 30605, USA.
John M JohnstonUS Environmental Protection Agency (EPA), Office of Research and Development, Center for Environmental Measurement and Modeling, Ecosystem Processes Division, Landscape and Aquatic Systems Modeling Branch, 960 College Station Road, Athens, GA, 30605, USA.
Stephen D LeDucUS EPA Center for Public Health and Environmental Assessment, Office of Research and Development, Research Triangle Park, NC, 27711, USA.
Lourdes PrietoUS Environmental Protection Agency (EPA), Office of Research and Development, Center for Environmental Measurement and Modeling, Ecosystem Processes Division, Landscape and Aquatic Systems Modeling Branch, 960 College Station Road, Athens, GA, 30605, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Wildfires in western US forests increased over the last two decades, resulting in elevated solid and nutrient loadings to streams, and occasionally threatening drinking water supplies. We demonstrated that a linked LANDIS (LANDscape DIsturbance and Succession)-VELMA (Visualizing Ecosystem Land Management Assessments) modeling approach can simulate wildland fire effects on water quality using the 2002 Colorado Hayman Fire. Utilizing LANDIS-II's forest landscape model to simulate forest composition and VELMA's eco-hydrologic model to simulate pre- and post-fire water quantity and quality, the best calibration performance yielded a Nash-Sutcliffe Efficiency (NSE) of 0.621 during 2000-2006 (most optimal annual - 0.921) in comparison to North American Land Data Assimilation System (NLDAS) runoff. Pre-fire modeled runoff, nitrate, and surface water temperature (SWT) correlated with observations. Simulated post-fire runoff (229%) and SWT (20.6%) were elevated relative to pre-fire, with nitrate concentrations 34 times greater than the aquatic life threshold (0.01 mg N/L).

Indexed as

EvapotranspirationForest managementHayman fireNutrientsPrecipitationWater treatment

Identifiers

PMID39380641
PMCPMC11457591

What OpenQuestion holds

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Registered trials

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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.