Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data.

Nur Hussain, Alemu Gonsamo, Shusen Wang, M Altaf Arain

Abstract read

In one paragraph

Article in Ecological processes, 2024. 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.

Nur HussainSchool of Earth, Environment and Society and McMaster Centre for Climate Change, McMaster University, Hamilton, ON L8S 4K1 Canada.

Alemu GonsamoSchool of Earth, Environment and Society and McMaster Centre for Climate Change, McMaster University, Hamilton, ON L8S 4K1 Canada.

Shusen WangCanada Centre for Remote Sensing, Natural Resources Canada, 1280 Main Street West, Ottawa, ON Canada.

M Altaf ArainSchool of Earth, Environment and Society and McMaster Centre for Climate Change, McMaster University, Hamilton, ON L8S 4K1 Canada.ORCID 0000-0002-1433-5173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Deciduous forests in eastern North America experienced a widespread and intense spongy moth ( Results: Remote sensing derived, growing season mean LAI values of deciduous (mixed) forests were 3.66 (3.18), 2.74 (2.64), and 3.53 (2.94) m Conclusions: The methods developed in this study offer valuable tools to assess and quantify natural disturbance impacts on the regional C balance of forest ecosystems by integrating field observations, high-resolution remote sensing data and models. Study results will also help in developing sustainable forest management practices to achieve net-zero C emission goals through nature-based climate change solutions.

Indexed as

CarbonEddy covarianceGross ecosystem productivityInfestationLeaf area indexRemote sensingSentinel-2Spongy mothTemperate forest

Identifiers

PMID38756370

DOI10.1186/s13717-024-00520-w

PMCPMC11093731

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.