Evidence map›Paper›PMID 37881341›Full record

ArticlePNAS nexus2023

Edible fire buffers: Mitigation of wildfire with multifunctional landscapes.

Xiao Fu, Abigail Lidar, Michael Kantar, Barath Raghavan

Abstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiao FuDepartment of Computer Science, University of Southern California, Los Angeles, 90089 CA, USA.ORCID https://orcid.org/0000-0001-7503-3083
Abigail LidarDepartment of Data Science, University of California, Berkeley, Berkeley, 94704 CA, USA.
Michael KantarDepartment of Tropical Plant and Soil Sciences, University of Hawai'i at Mānoa, Honolulu, 96822 HI, USA.ORCID https://orcid.org/0000-0001-5542-0975
Barath RaghavanDepartment of Computer Science, University of Southern California, Los Angeles, 90089 CA, USA.ORCID https://orcid.org/0000-0003-3862-2983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildfires ravage lands in seasonally dry regions, imposing high costs on infrastructure maintenance and human habitation at the wildland-urban interface. Current fire mitigation approaches present upfront costs with uncertain long-term payoffs. We show that a new landscape intervention on human-managed wildlands-buffers of a low-flammability crop species such as banana irrigated using recycled water-can mitigate wildfires and produce food profitably. This new intervention can complement existing fire mitigation approaches. Recreating a recent, major fire in simulation, we find that a medium-sized (633 m) banana buffer decreases fireline intensity by 96%, similar to the combination of prescribed burns and mechanical thinning, and delays the fire by 316 min, enabling safer and more effective firefighting. We find that under climate change, despite worsened fires, banana buffers will still have a protective effect. We also find that banana buffers with average yield could produce a profit of $56k USD/hectare through fruit sales, in addition to fire mitigation.

Indexed as

agroecologyfire mitigationland usewildland–urban interface

Identifiers

PMID37881341
PMCPMC10597537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.