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Article

The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province

1
School of Management, Guangdong University of Technology, Guangzhou 510520, China
2
The Academy of Digital China, Fuzhou University, Fuzhou 350108, China
3
Big Data Development Center, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Beijing 100125, China
4
Guangdong Research Center for Smart Land, School of Geography, South China Normal University, Guangzhou 510631, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(19), 4991; https://doi.org/10.3390/rs14194991
Submission received: 19 September 2022 / Revised: 2 October 2022 / Accepted: 6 October 2022 / Published: 7 October 2022
(This article belongs to the Special Issue Monitoring Agricultural Land-Use Change and Land-Use Intensity Ⅱ)

Abstract

In the past two decades, the Ministry of Agriculture and Rural Affairs of China (MARA) has issued a series of strict cultivated land protection policies to prevent the spread of farmland abandonment and maintain a dynamic balance between the quantity and quality of arable land. However, high-speed economic development, strict arable land protection policies, and ecological security and sustainable development strategies interacting with human activities have brought challenges to quantifying the effectiveness of arable land protection policies. In this study, we proposed a method to quantify the impacts of the arable land protection policies and evaluate the quantitative impacts on farmland abandonment in Guangdong Province after 2014 from the perspective of landscape ecology. The results illustrated that the landscape fragmentation of farmland abandonment in Guangdong Province decreased after the new arable land policies were issued. More annual farmland abandonment (AFA) shifted to seasonal farmland abandonment (SFA), revealing the considerable pronounced effects of farmland abandonment management. The new policies effectively restrained the area increase for AFA in the regions with lower rural population (RPOP) and lower gross domestic product (GDP), and reduced the fragmentation of AFA in the regions with the highest RPOP and lower GDP. Additionally, the new policies effectively restrained the fragmentation increase for SFA in the regions with lower RPOP and lower GDP, and reduced the area increase for SFA in the regions with the highest RPOP and lower GDP. The management effect was not that significant in the regions with higher RPOP and higher GDP. These findings will provide important data references for arable land decision making in southern China.
Keywords: landscape pattern; farmland abandonment; arable land protection policy; CLUMondo model landscape pattern; farmland abandonment; arable land protection policy; CLUMondo model

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MDPI and ACS Style

Li, L.; Zheng, S.; Zhao, K.; Shen, K.; Yan, X.; Zhao, Y. The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province. Remote Sens. 2022, 14, 4991. https://doi.org/10.3390/rs14194991

AMA Style

Li L, Zheng S, Zhao K, Shen K, Yan X, Zhao Y. The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province. Remote Sensing. 2022; 14(19):4991. https://doi.org/10.3390/rs14194991

Chicago/Turabian Style

Li, Le, Siyan Zheng, Kefei Zhao, Kejian Shen, Xiaolu Yan, and Yaolong Zhao. 2022. "The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province" Remote Sensing 14, no. 19: 4991. https://doi.org/10.3390/rs14194991

APA Style

Li, L., Zheng, S., Zhao, K., Shen, K., Yan, X., & Zhao, Y. (2022). The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province. Remote Sensing, 14(19), 4991. https://doi.org/10.3390/rs14194991

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