Next Article in Journal
Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models
Previous Article in Journal
UTSM: A Trajectory Similarity Measure Considering Uncertainty Based on an Amended Ellipse Model
Open AccessArticle

Impacts of Rapid Socioeconomic Development on Cropping Intensity Dynamics in China during 2001–2016

by Le Li 1,2, Zurui Ao 3,*, Yaolong Zhao 4 and Xulong Liu 2
1
School of Management, Guangdong University of Technology, Guangzhou 510520, China
2
Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangzhou 510070, China
3
Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Sun Yat-sen University, Guangzhou 510275, China
4
School of Geography, Guangdong Research Center of Smart Homeland Engineering, South China Normal University, Guangzhou 510631, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(11), 519; https://doi.org/10.3390/ijgi8110519
Received: 27 August 2019 / Revised: 5 November 2019 / Accepted: 13 November 2019 / Published: 18 November 2019
Changes in cropping intensity reflect not only changes in land use but also the transformation of land functions. Although both natural conditions and socioeconomic factors can influence the spatial distribution of the cropping intensity and its changes, socioeconomic developments related to human activities can exert great impacts on short term cropping intensity changes. The driving force of this change has a high level of uncertainty; and few researchers have implemented comprehensive studies on the underlying driving forces and mechanisms of these changes. This study produced cropping intensity maps in China from 2001 to 2016 using remote sensing data and analyzed the impacts of socioeconomic drivers on cropping intensity and its changes in nine major agricultural zones in China. We found that the average annual cropping intensity in all nine agricultural zones increased from 2001 to 2016 under rapid socioeconomic development, and the trends in the seven major agricultural zones were significantly increased (p < 0.05), based on a Mann–Kendall test, except for the Northeast China Plain (NE Plain) and Qinghai Tibet Plateau (QT Plateau). Based on the results from the Geo-Detector, a widely used geospatial analysis tool, the dominant factors that affected cropping intensity distribution were related to the arable land output in the plain regions and topography in the mountainous regions. The factors that affected cropping intensity changes were mainly related to the arable land area and crop yields in northern China, and regional economic developments, such as machinery power input and farmers’ income in southern China. These findings provide useful cropping intensity data and profound insights for policymaking on how to use cultivated land resources efficiently and sustainably. View Full-Text
Keywords: cropping intensity; time series; Geo-Detector; spatiotemporal variation; socioeconomic drivers cropping intensity; time series; Geo-Detector; spatiotemporal variation; socioeconomic drivers
Show Figures

Figure 1

MDPI and ACS Style

Li, L.; Ao, Z.; Zhao, Y.; Liu, X. Impacts of Rapid Socioeconomic Development on Cropping Intensity Dynamics in China during 2001–2016. ISPRS Int. J. Geo-Inf. 2019, 8, 519.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop