Evidence map›Paper›PMID 39749042›Full record

ArticleEcological indicators2023

Where forest may not return in the western United States.

J Wickham, A Neale, K Riitters, M Nash, J Dewitz, S Jin, M van Fossen, D Rosenbaum

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecological indicators, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

J WickhamU.S. EPA, Center for Public Health and Environmental Assessment, Office of Research and Development, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
A NealeU.S. EPA, Center for Public Health and Environmental Assessment, Office of Research and Development, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.ORCID 0000-0003-2412-8861
K RiittersU.S. Department of Agriculture, Forest Service, Southern Research Station, Research Triangle Park, NC 27709, USA.ORCID 0000-0003-3901-4453
M NashU.S. EPA, Center for Public Health and Environmental Assessment, Office of Research and Development, Newport, OR 97635, USA.ORCID 0000-0001-9181-3637
J DewitzU.S. Geological Survey, Earth Resources Observation Science (EROS) Center, 47914 252nd St., Sioux Falls, SD 57198, USA.ORCID 0000-0002-0458-212X
S JinU.S. Geological Survey, Earth Resources Observation Science (EROS) Center, 47914 252nd St., Sioux Falls, SD 57198, USA.ORCID 0000-0001-9919-8077
M van FossenU.S. EPA, Center for Public Health and Environmental Assessment, Office of Research and Development, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.ORCID 0000-0002-3958-7721
D RosenbaumOak Ridge Institute for Science and Education (ORISE) Participant, U.S. EPA, Center for Public Health and Environmental Assessment, Office of Research and Development, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.ORCID 0000-0003-0056-6103

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Droughts that are hotter, more frequent, and last longer; pest outbreaks that are more extensive and more common; and fires that are more frequent, more extensive, and perhaps more severe have raised concern that forests in the western United States may not return once disturbed by one or more of these agents. Numerous field-based studies have been undertaken to better understand forest response to these changing disturbance regimes. Meta-analyses of these studies provide broad guidelines on the biotic and abiotic factors that hinder forest recovery, but study-to-study differences in methods and objectives do not support estimation of the total extent of potentially impaired forest succession. In this research, we provide an estimate of the area of potentially impaired forest succession. The estimate was derived from modeling of an 18-year land cover and Normalized Difference Vegetation Index (NDVI) time series supported by an extensive ancillary dataset. We estimate an upper bound of approximately 3470 km

Indexed as

Climate changeDroughtForest disturbance regimesInsect outbreakLand cover changeLANDFIREMRLC ConsortiumNLCDWildland fire

Identifiers

PMID39749042
PMCPMC11694803

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.