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Research Article

Spatio-temporal characteristics of cultivated land fragmentation in different landform areas with a case study in Northeast China

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Article: 1800415 | Received 30 Mar 2020, Accepted 15 Jul 2020, Published online: 17 Aug 2020
 

ABSTRACT

Assessing the temporal and spatial characteristics of cultivated land fragmentation is necessary to identify management practices that can reduce negative environmental effects. Thus, the purpose of this study was to use principal component analysis and spatial autocorrelation to analyze the dynamic characteristics of cultivated land fragmentation in different landform areas in Liaoning Province, China, in terms of time and space. An additional objective was to match the changes with the natural and social environment to support the sustainable development of fragmented cultivated land. The results indicated that the evolutionary trends of cultivated land fragmentation in the central plain area showed a weakening trend, contrary to those observed in the western hilly and eastern mountainous areas. Moreover, the spatial distribution characteristics of cultivated land fragmentation in the western hilly area were generally “external low, internal high,” primarily because of the edge density of cultivated land patches. The spatial distribution characteristics of cultivated land fragmentation in the central plain area were generally “external high, internal low,” primarily because of the number and division of cultivated land patches. The spatial distribution characteristics of cultivated land fragmentation in the eastern mountainous area were generally “south low, north high” because of the division of cultivated land patches. These results can provide guidelines for planners, managers, decision-makers and others to formulate regulatory policies, identify land remediation areas, and promote the sustainable development of cultivated land.

Disclosure statement

The authors declare that they have no conflicts of interest.

Additional information

Funding

This research was financially supported by the National Natural Science Foundation of China (Grant No. 41671329), and China Scholarship Council (Grant No. 201808210445).