Evidence map›Paper›PMID 38997290›Full record

ArticleScientific reports2024

Case study on climate change effects and food security in Southeast Asia.

Daria Taniushkina, Aleksander Lukashevich, Valeriy Shevchenko, Ilya S Belalov, Nazar Sotiriadi, Veronica Narozhnaia, Kirill Kovalev, Alexander Krenke, Nikita Lazarichev, Alexander Bulkin and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Aging in Southeast Asia and Japan: Challenges and opportunities.Geriatrics & gerontology international · 2025
    Review
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

11 authors.

Daria Taniushkina *Skolkovo Institute of Science and Technology, Moscow, Russia. D.Taniushkina@skoltech.ru.ORCID 0009-0002-0935-641X
Aleksander Lukashevich *Skolkovo Institute of Science and Technology, Moscow, Russia.
Valeriy Shevchenko *Skolkovo Institute of Science and Technology, Moscow, Russia.
Ilya S BelalovFRC Biotechnology, Russian Academy of Sciences, Moscow, Russia.
Nazar SotiriadiCredit Risks Department, PJSC Sber, Moscow, Russia.
Veronica NarozhnaiaCredit Risks Department, PJSC Sber, Moscow, Russia.
Kirill KovalevCredit Risks Department, PJSC Sber, Moscow, Russia.
Alexander KrenkeInstitute of Geography, Russian Academy of Sciences, Moscow, Russia.
Nikita LazarichevResearch Center Interdata, Timertau, Kazakhstan.
Alexander BulkinSkolkovo Institute of Science and Technology, Moscow, Russia.
Yury MaximovTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture, a cornerstone of human civilization, faces rising challenges from climate change, resource limitations, and stagnating yields. Precise crop production forecasts are crucial for shaping trade policies, development strategies, and humanitarian initiatives. This study introduces a comprehensive machine learning framework designed to predict crop production. We leverage CMIP5 climate projections under a moderate carbon emission scenario to evaluate the future suitability of agricultural lands and incorporate climatic data, historical agricultural trends, and fertilizer usage to project yield changes. Our integrated approach forecasts significant regional variations in crop production across Southeast Asia by 2028, identifying potential cropland utilization. Specifically, the cropland area in Indonesia, Malaysia, Philippines, and Viet Nam is projected to decline by more than 10% if no action is taken, and there is potential to mitigate that loss. Moreover, rice production is projected to decline by 19% in Viet Nam and 7% in Thailand, while the Philippines may see a 5% increase compared to 2021 levels. Our findings underscore the critical impacts of climate change and human activities on agricultural productivity, offering essential insights for policy-making and fostering international cooperation.

Indexed as

AgricultureClimate ChangeCrops, AgriculturalFood SecurityAsia, SoutheasternCrop ProductionFood SupplyHumansOryza

Identifiers

PMID38997290
PMCPMC11245559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.