Evidence map›Paper›PMID 39777291›Full record

ArticlePNAS nexus2025

Improving future agricultural sustainability by optimizing crop distributions in China.

Qi Guan, Jing Tang, Kyle Frankel Davis, Mengxiang Kong, Lian Feng, Kun Shi, Guy Schurgers

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Qi GuanState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China.ORCID https://orcid.org/0000-0002-6064-134X
Jing TangCenter for Volatile Interactions, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-7961-8214
Kyle Frankel DavisDepartment of Geography and Spatial Sciences, University of Delaware, Newark, DE-19716, USA.ORCID https://orcid.org/0000-0003-4504-1407
Mengxiang KongEastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo 315200, China.ORCID https://orcid.org/0009-0007-0014-3668
Lian FengSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Kun ShiState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China.ORCID https://orcid.org/0000-0002-6124-7512
Guy SchurgersDepartment of Geosciences and Natural Resource Management, University of Copenhagen, DK-1350 Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-2189-1995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving agricultural sustainability is a global challenge, particularly for China's high-input and low-efficiency cropping systems with environmental tradeoffs. Although national strategies have been implemented to achieve Sustainable Development Goals in agriculture, the potential contributions of crop switching as a promising solution under varying future climate change are still under-explored. Here, we optimize cropping patterns spatially with the targets of enhancing agriculture production, reducing environmental burdens, and achieving sustainable fertilization across different climate scenarios. Compared with current cropping patterns, the optimal crop distributions under different climate scenarios consistently suggest allocating the planting areas of maize and rapeseed to the other crops (rice, wheat, soybean, peanut, and potato). Such crop switching can consequently increase crop production by 14.1%, with accompanying reductions in environmental impacts (8.2% for leached nitrogen and 24.0% for irrigation water use) across three representative Shared Socio-economic Pathways from 2020 to 2100. The sustainable fertilization rates vary from 148-173 kg N ha

Indexed as

agricultural sustainabilityclimate changecrop switchingfertilizer managementnational scale

Identifiers

PMID39777291
PMCPMC11705388

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.