Evidence map›Paper›PMID 36498371›Full record

ArticleInternational journal of environmental research and public health2022

How Has Climate Change Driven the Evolution of Rice Distribution in China?

Guogang Wang, Shengnan Huang, Yongxiang Zhang, Sicheng Zhao, Chengji Han

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

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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

5 authors.

Guogang WangInstitute of Agricultural Economics and Development, Chinses Academy of Agricultural Sciences, Beijing 100089, China.
Shengnan HuangInstitute of Agricultural Economics and Development, Chinses Academy of Agricultural Sciences, Beijing 100089, China.
Yongxiang ZhangSchool of Economics and Management, China Agricultural University, Beijing 100089, China.
Sicheng ZhaoInstitute of Agricultural Economics and Development, Chinses Academy of Agricultural Sciences, Beijing 100089, China.
Chengji HanState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, China Academy of Sciences, Beijing 100089, China.ORCID 0000-0001-5735-8896

Funding

Major Projects of the National Social Science Foundation of China 21ZDA056National Natural Science Foundation of China 41871184Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences 10-IAED-01-2022
6 · The paper itself

Abstract

Estimating the impact of climate change risks on rice distribution is one of the most important elements of climate risk management. This paper is based on the GEE (Google Earth Engine) platform and multi-source remote sensing data; the authors quantitatively extracted rice production distribution data in China from 1990 to 2019, analysed the evolution pattern of rice distribution and clusters and explored the driving effects between climatic and environmental conditions on the evolution of rice production distribution using the non-parametric quantile regression model. The results show that: The spatial variation of rice distribution is significant, mainly concentrated in the northeast, south and southwest regions of China; the distribution of rice in the northeast is expanding, while the distribution of rice in the south is extending northward, showing a spatial evolution trend of "north rising and south retreating". The positive effect of precipitation on the spatial distribution of rice has a significant threshold. This shows that when precipitation is greater than 800 mm, there is a significant positive effect on the spatial distribution of rice production, and this effect will increase with precipitation increases. Climate change may lead to a continuous northward shift in the extent of rice production, especially extending to the northwest of China. This paper's results will help implement more spatially targeted climate change adaptation measures for rice to cope with the changes in food production distribution caused by climate change.

Indexed as

Climate ChangeOryzaChinaFoodTemperaturecrop distributionGEEricesemi-parametric quantile regression

Identifiers

PMID36498371
PMCPMC9737467

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