Evidence map›Paper›PMID 38467773›Full record

ArticleScientific reports2024

Assessing silvopasture management as a strategy to reduce fuel loads and mitigate wildfire risk.

Mark Batcheler, Matthew M Smith, Mark E Swanson, Marcia Ostrom, Lynne Carpenter-Boggs

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
2.8field-weighted citation impact, top 10% of its field
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, 10 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Mark BatchelerCorvallis Forestry Sciences Laboratory, USDA National Agroforestry Center, 3200 Southwest Jefferson Way, Corvallis, OR, 97331, USA. mark.batcheler@usda.gov.
Matthew M SmithUSDA National Agroforestry Center, 1945 North 38Th Street, Lincoln, NE, 68583, USA.
Mark E SwansonSchool of the Environment, Washington State University, P.O. Box 64610, Pullman, WA, 99164, USA.
Marcia OstromSchool of the Environment, Washington State University, 1100 North Western Avenue, Wenatchee, WA, 98801, USA.
Lynne Carpenter-BoggsDepartment of Crops and Soils, Washington State University, Pullman, WA, 99164, USA.
Washington State University · USCorvallis Environmental Center · US

Funding

USDA National Agroforestry Center AWD003521
6 · The paper itself

Abstract

Managing private forests for wildfire resilience is challenging due to conflicting social, economic, and ecological decisions that may result in an increase of surface fuel loads leading to greater fire risk. Due to fire suppression and a changing climate, land managers in fire-prone regions face an increasing threat of high severity fires. Thus, land managers need fuel treatment options that match their forest types and management objectives. One potential option for producers that graze livestock is silvopasture management, where livestock, forages, and overstory vegetation are carefully managed for co-benefits on the same unit of land. This study compared forest composition and structure, fuel types, and vegetative biomass between silvopasture and non-grazed managed forests in Washington, U.S. We show that silvopasture management results in reductions in grass biomass, litter, and duff depth when compared to non-grazed managed forest. These findings point to the integrated nature of silvopasture, where management of overstory composition and structure, understory vegetation, and grazing can reduce fuel loads and potential wildfire risk.

Identifiers

PMID38467773
PMCPMC10928111
OpenAlexW4392714967

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.