Evidence map›Paper›PMID 36920898›Full record

ArticlePloS one2023

Multiscale predictors of small tree survival across a heterogeneous tropical landscape.

Eileen H Helmer, Shannon Kay, Humfredo Marcano-Vega, Jennifer S Powers, Tana E Wood, Xiaolin Zhu, David Gwenzi, Thomas S Ruzycki

Open access · goldFull text read
In one paragraph

Article in PloS one, 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
2.9field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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 at 7 institutions in 3 countries.

Eileen H HelmerUSDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, United States of America.ORCID 0000-0003-3731-0056
Shannon KayUSDA Forest Service, Rocky Mountain Research Station Fort Collins, Fort Collins, Colorado, United States of America.
Humfredo Marcano-VegaUSDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, United States of America.
Jennifer S PowersDepartments of Ecology, Evolution and Behavior and Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, United States of America.
Tana E WoodUSDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, United States of America.
Xiaolin ZhuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID 0000-0001-6967-786X
David GwenziDepartment of Environmental Science & Management, Cal Poly Humboldt State University, Arcata, California, United States of America.
Thomas S RuzyckiCenter for Environmental Management of Military Lands, Colorado State University, Fort Collins, Colorado, United States of America.
International Institute of Tropical Forestry · PRCalifornia Polytechnic State University · USColorado State University · USHong Kong Polytechnic University · HKRocky Mountain Research Station · USSouthern Research Station · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainties about controls on tree mortality make forest responses to land-use and climate change difficult to predict. We tracked biomass of tree functional groups in tropical forest inventories across Puerto Rico and the U.S. Virgin Islands, and with random forests we ranked 86 potential predictors of small tree survival (young or mature stems 2.5-12.6 cm diameter at breast height). Forests span dry to cloud forests, range in age, geology and past land use and experienced severe drought and storms. When excluding species as a predictor, top predictors are tree crown ratio and height, two to three species traits and stand to regional factors reflecting local disturbance and the system state (widespread recovery, drought, hurricanes). Native species, and species with denser wood, taller maximum height, or medium typical height survive longer, but short trees and species survive hurricanes better. Trees survive longer in older stands and with less disturbed canopies, harsher geoclimates (dry, edaphically dry, e.g., serpentine substrates, and highest-elevation cloud forest), or in intervals removed from hurricanes. Satellite image phenology and bands, even from past decades, are top predictors, being sensitive to vegetation type and disturbance. Covariation between stand-level species traits and geoclimate, disturbance and neighboring species types may explain why most neighbor variables, including introduced vs. native species, had low or no importance, despite univariate correlations with survival. As forests recovered from a hurricane in 1998 and earlier deforestation, small trees of introduced species, which on average have lighter wood, died at twice the rate of natives. After hurricanes in 2017, the total biomass of trees ≥12.7 cm dbh of the introduced species Spathodea campanulata spiked, suggesting that more frequent hurricanes might perpetuate this light-wooded species commonness. If hurricane recovery favors light-wooded species while drought favors others, climate change influences on forest composition and ecosystem services may depend on the frequency and severity of extreme climate events.

Indexed as

Cyclonic StormsEcosystemBiomassIntroduced SpeciesTropical ClimateWood

Identifiers

PMID36920898
PMCPMC10016699
OpenAlexW4324303492

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table measurements read1
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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.