Evidence map›Paper›PMID 38790759›Full record

ArticleFoods (Basel, Switzerland)2024

Analysis of Characteristics and Driving Mechanisms of Non-Grain Production of Cropland in Mountainous Areas at the Plot Scale-A Case Study of Lechang City.

Zhaojun Wu, Shengfa Li, Dafang Wu, Jun Song, Tong Lin, Ziya Gao

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhaojun WuGuangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China.
Shengfa LiGuangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China.
Dafang WuSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China.
Jun SongGuangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China.
Tong LinSchool of Government Management, Beijing Normal University, Beijing 100875, China.
Ziya GaoSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China.

Funding

2022 Guangzhou Higher Education teaching quality and teaching reform project teaching team project No. 2022JXTD001Innovative Team Project of Guangdong Ordinary Colleges and Universities (Humanities and Social Sciences) 2023WCXTD019National Natural Science Foundation of China 41771096National Natural Science Foundation of China 41801101National Natural Science Foundation of China Key Program 41930757Project of Special Funds for the Development of Guangdong Academy of Sciences 2020GDASYL-20200104005The GDAS Project of Science and Technology Development 2023GDASZH-2023010101
6 · The paper itself

Abstract

With the continuous advancement of urbanization and industrialization, non-grain production on cropland (NGPCL) is gradually becoming more widespread. This phenomenon will compress the space for grain production and trigger a global food crisis. How to scientifically understand and effectively control NGPCL has become a scientific issue. This study, conducted at the plot scale, establishes a measurement index for NGPCL and further explores the characteristics and driving mechanisms of NGPCL in mountainous areas. The results indicate the following: (1) Compared to plots for food-growing, plots for non-grain production tend to be more dispersed, with terraces showing the most significant dispersion, while plains exhibit the highest degree of aggregation. (2) In terms of irrigation conditions, irrigated land and dry land are more likely to undergo NGPCL. In terms of topography, slope croplands have the highest probability of being used for NGPCL. (3) Regions with steeper slopes, higher elevations, greater differences in altitude from the settlement, farther distances from settlements and roads, yet closer proximity to forests, are more likely to engage in NGPCL. (4) Different plot characteristics have varying impacts on NGPCL. Plot characteristics primarily affect the costs and returns of grain production, driving farmers to change their production patterns and triggering NGPCL.

Indexed as

clustering characteristicsdistribution characteristicsdriving mechanismsfood securitymeasurement indexnon-grain production on croplandtypological characteristics

Identifiers

PMID38790759
PMCPMC11119146

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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.