Abstract

Cropland abandonment occurs frequently in many countries and regions around the world, particularly in those with poor environmental conditions, such as mountainous regions. In Chongqing county, China, over 76% of the total area is mountainous. Due to the lack of reliable remote sensing monitoring and identification methods, the spatial and temporal distribution of abandoned cropland areas and its underlying causes are poorly understood. Thus, the extent of cropland abandonment in Chongqing, since 2001, was estimated using land use trajectories. The following results were obtained: (1) the cropland abandonment rate was 12.2–15.4% from 2001 to 2020, with an average of 13.3%; (2) hotspots of abandoned cropland were concentrated in the north and southeast. Cropland abandonment was clustered in the northern, southeastern, and southwestern areas; (3) socio-economic factors (including gross domestic product density, population density, and road density) had a greater impact on the spatial distribution of abandoned cropland than environmental factors. Based on the results, the government should strive to reduce production costs associated with poor agricultural infrastructure, sporadic cropland, and higher labor costs by providing grain subsidies, undertaking cropland consolidation, encouraging land transfer, and improving agricultural infrastructure.

Highlights

  • Against the background of accelerated population growth, providing sufficient food for a global population of 9 billion people has become a serious challenge for human society in the 21st century [1,2]

  • By comparing the spatial consistency of cropland abandonment and the influencing factors, we explored the main factors influencing cropland abandonment, using factor and interactive detectors of the Geographic Detector Model (GDM)

  • Land 2021, 10, x FOR PEER REVIEW composed of socioeconomic factors, including gross domestic product density (GDPD), population density (PD), and road density (RD)

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Summary

Introduction

Against the background of accelerated population growth, providing sufficient food for a global population of 9 billion people has become a serious challenge for human society in the 21st century [1,2]. Remote sensing technology has shown advantages in monitoring spatial and temporal changes in land use and has gradually been applied for the identification of abandoned cropland [14,15,16,17,18]. With the continuous development of remote sensing technologies, image resolution has improved to the meter and sub-meter level, providing a better spatial database for the extraction of abandoned cropland. With the development of aerial remote sensing technologies, aerial photos with a higher resolution are an important data source for the identification of abandoned cropland. One of their disadvantages is the high cost of acquiring images, making it difficult to implement the real-time monitoring of cropland abandonment in large areas. This study contains three main parts: (1) using remote sensing data to reconstruct the land use trajectory of Chongqing and to evaluate the degree of abandoned cropland, (2) revealing the spatial heterogeneity of abandoned cropland, and (3) detecting the factors influencing cropland abandonment based on the two aspects of the natural environment and the social economy

Study Area
Data Source
Definition of Abandoned Cropland
Generation of the Annual Land Use Maps
Extracting the Distribution of Cropland Abandonment
Spatial Statistical Analysis
Analysis of Influencing Factors
Annual
Spatiotemporal Variations in Cropland Abandonment
Spatial Statistics of Abandoned Cropland
Spatial
Determinants and Interactions of Cropland Abandonment
Estimation of Abandoned Cropland Area
Cropland Abandonment Rate and Its Temporal Trend in Chongqing
Policy Impacts
Conclusions
Full Text
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