Evidence map›Paper›PMID 37266552›Full record

ArticleNational science review2023

Challenges and opportunities for modeling coupled human and natural systems.

Yan Li, Shan Sang, Safa Mote, Jorge Rivas, Eugenia Kalnay

Abstract read
In one paragraph

Article in National science review, 2023. 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

5 authors.

Yan LiState Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, China.ORCID https://orcid.org/0000-0002-6336-0981
Shan SangState Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, China.ORCID https://orcid.org/0000-0002-9617-2944
Safa MoteDepartment of Atmospheric and Oceanic Science, University of Maryland, USA.ORCID https://orcid.org/0000-0001-5905-3842
Jorge Rivas
Eugenia KalnayDepartment of Atmospheric and Oceanic Science, University of Maryland, USA.ORCID https://orcid.org/0000-0002-9984-9906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing recognition of coupled human and natural systems (CHANS), modeling CHANS with two-way feedbacks has become a frontier research area and a critical tool to achieve sustainability. The challenges in CHANS modeling and opportunities to advance its science and application to promote the sustainability of CHANS are discussed in this paper.

Identifiers

PMID37266552
PMCPMC10232039

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.