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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.<\/jats:p>","DOI":"10.3390\/rs14194991","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:07:28Z","timestamp":1665371248000},"page":"4991","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["The Quantitative Impact of the Arable Land Protection Policy on the Landscape of Farmland Abandonment in Guangdong Province"],"prefix":"10.3390","volume":"14","author":[{"given":"Le","family":"Li","sequence":"first","affiliation":[{"name":"School of Management, Guangdong University of Technology, Guangzhou 510520, China"}]},{"given":"Siyan","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Management, Guangdong University of Technology, Guangzhou 510520, China"},{"name":"The Academy of Digital China, Fuzhou University, Fuzhou 350108, China"}]},{"given":"Kefei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Management, Guangdong University of Technology, Guangzhou 510520, China"}]},{"given":"Kejian","family":"Shen","sequence":"additional","affiliation":[{"name":"Big Data Development Center, Ministry of Agriculture and Rural Affairs of the People\u2019s Republic of China, Beijing 100125, China"}]},{"given":"Xiaolu","family":"Yan","sequence":"additional","affiliation":[{"name":"Big Data Development Center, Ministry of Agriculture and Rural Affairs of the People\u2019s Republic of China, Beijing 100125, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0655-9943","authenticated-orcid":false,"given":"Yaolong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Guangdong Research Center for Smart Land, School of Geography, South China Normal University, Guangzhou 510631, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.landurbplan.2006.03.004","article-title":"Investigating the regional-scale pattern of agricultural land abandonment in the Swiss mountains: A spatial statistical modelling approach","volume":"79","author":"Gellrich","year":"2007","journal-title":"Landsc Urban Plan."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1007\/s11442-017-1426-0","article-title":"Global understanding of farmland abandonment: A review and prospects","volume":"27","author":"Li","year":"2017","journal-title":"J. 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