Evidence map›Paper›PMID 42481893›Full record

ArticleNature ecology & evolution2026

Physiological fidelity of a satellite-derived forest resilience indicator in the Amazon.

Kexin Song, James Knighton, Shi Qiu, Xiucheng Yang, Ji Won Suh, Julia V Tavares, Yanlan Liu, Xiaonan Tai, Robert Fahey, Christopher S R Neigh and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature ecology & evolution, 2026. 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

21 authors.

Kexin SongDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA. kexin.song@uconn.edu.ORCID http://orcid.org/0000-0003-1947-6933
James KnightonDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Shi QiuDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0001-7627-708X
Xiucheng YangDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Ji Won SuhDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Julia V TavaresSchool of Geography, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-3784-5720
Yanlan LiuDepartment of Geography, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5129-6284
Xiaonan TaiDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, USA.ORCID http://orcid.org/0000-0002-3040-3121
Robert FaheyDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Christopher S R NeighBiospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.ORCID http://orcid.org/0000-0002-5322-6340
Russell CallahanDepartment of Earth Sciences, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0002-0091-3446
Falu HongDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0002-2383-1670
Tian LiDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0003-2423-2589
Ashley GrinsteadDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0003-2623-4457
Wei RenDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Chandi WitharanaDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
S Blair HedgesCenter for Biodiversity, Temple University, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0652-2411
Zhiqiang YangUS Forest Service, Rocky Mountain Research Station, Corvallis, OR, USA.ORCID http://orcid.org/0000-0001-5072-2472
Rodrigo Vieira LeiteBiospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Paulo R L BittencourtSchool of Earth and Environment Sciences, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0002-1618-9077
Zhe ZhuDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA. zhe@uconn.edu.ORCID http://orcid.org/0000-0001-8283-6407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable resilience indicators are urgently needed to monitor global forest health under increasing climate stress. Lag-1 temporal autocorrelation (TAC) of satellite vegetation indices captures forest recovery speed and is widely used as a resilience metric, but its mechanistic underpinnings and methodological reliability have been questioned. Here we use Landsat observations and field data from the Amazon to investigate how satellite-derived TAC relates to in situ measurements of the hydraulic safety margin (HSM), a key physiological trait for plants' capacity to accommodate drier conditions. We find a strong direct correlation between HSM and the resilience proxy (1-TAC) (R

Indexed as

ForestsTreesBrazilClimate ChangeDrought ResistanceDroughtsSatellite ImagerySpacecraft

Identifiers

PMID42481893
PMCPMC13541618

What OpenQuestion holds

Textmetadata
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.