Evidence map›Paper›PMID 39738094›Full record

ArticleNature communications2024

Biophysical effects of croplands on land surface temperature.

Chi Chen, Yang Li, Xuhui Wang, Xiangzhong Luo, Yue Li, Yu Cheng, Zhe Zhu

Abstract read
In one paragraph

Article in Nature communications, 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. Article
  2. Article
  3. 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

7 authors.

Chi Chen *Department of Ecology, Evolution, and Natural Resource, Rutgers University, New Brunswick, NJ, USA. chi.chen@rutgers.edu.ORCID http://orcid.org/0000-0002-8079-4079
Yang Li *Department of Geography, National University of Singapore, Singapore, Singapore.
Xuhui WangSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-0818-9816
Xiangzhong LuoDepartment of Geography, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-9546-0960
Yue LiDepartment of Geography, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2997-6368
Yu ChengDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA.
Zhe ZhuDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0001-8283-6407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Converting natural vegetation to croplands alters the local land surface energy budget. Here, we use two decades of satellite data and a physics-based framework to analyse the biophysical mechanisms by which croplands influence daily mean land surface temperature (LST). Globally, 60% of croplands exhibit an annual warming effect, while 40% have a cooling effect compared to their surrounding natural ecosystems. Aerodynamic resistance is identified as the dominant biophysical factor impacting LST by adjusting latent heat flux. The magnitude of cropland-induced LST change is negatively correlated with the difference in leaf area index between croplands and their surrounding biome types. The strongest warming occurs in temperate dry regions where croplands are surrounded by savannas. However, a lower-than-expected LST disturbance is seen in hot and wet regions where croplands are surrounded by rainforests, attributed to lower cropland fraction and energy limitations. These findings highlight the complex interplay of land use, vegetation, and regional climate, providing valuable insights into sustainable agriculture and land-based climate change mitigation.

Identifiers

PMID39738094
PMCPMC11685707

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.