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April 22, 2026Land1 citationsOpen Access

Evaluation of Cultivated Land Fragmentation and Analysis of Driving Factors in the Major Grain-Producing Areas of the Middle and Lower Yangtze River Basin

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JGJiangtao GouCJCuicui JiaoYibin University

Key Points

  • The aim is to assess cultivated land fragmentation and identify factors influencing its distribution in the Yangtze River Basin.
  • Constructed a Cultivated Land Fragmentation Index (CLFI) using landscape index analysis and an entropy-weighted approach.
  • Determined optimal spatial resolution (330 m) for fragmentation analysis based on land-use data from 2023.
  • Employed geographic detectors to identify factors influencing cultivated land fragmentation.
  • CLFI values ranged between 0.001 and 0.973, highlighting significant spatial heterogeneity in fragmentation.
  • Jiangxi Province had the highest fragmentation level (0.255), while Jiangsu had the lowest (0.146).
  • Topographic factors influenced fragmentation patterns in provinces with relief, whereas socioeconomic factors dominated in urbanized, flat regions like Jiangsu.

Abstract

Cultivated land fragmentation has become a critical constraint on regional agricultural sustainable development. Revealing its spatial patterns and driving mechanisms is of great significance for optimizing the utilization and management of cultivated land resources and enhancing regional agricultural productivity. This study focuses on the main grain-producing areas in the middle and lower reaches of the Yangtze River Basin. It constructs a Cultivated Land Fragmentation Index (CLFI) using an integrated method that combines landscape index analysis with an entropy-weighted approach, based on 2023 land-use data. The optimal analytical grain size and extent were determined before employing geographic detectors to identify dominant factors influencing cultivated land fragmentation. The key findings include the following: (1) The appropriate spatial resolution for fragmentation analysis was identified as 330 m, with an optimal analysis extent of 8910 m. (2) CLFI values ranged from 0.001 to 0.973, exhibiting significant spatial heterogeneity. The central plains and northeastern regions demonstrated low fragmentation levels and better contiguous cultivated land distribution, while the western and peripheral areas showed higher fragmentation. A provincial-scale comparison revealed that Jiangxi Province had the highest fragmentation level (0.255), whereas Jiangsu Province had the lowest (0.146). The topographic gradient analysis indicated a decreasing trend from the Guizhou Plateau (0.503) to the North China Plain (0.125), with plateaus and basins showing significantly higher fragmentation than hilly and plain regions. (3) Dominant controlling factors varied among provinces: In provinces with greater topographic relief (Anhui, Hubei, Hunan, Jiangxi), natural factors like elevation, slope gradient, and NDVI primarily controlled fragmentation patterns; in contrast, socioeconomic factors such as nighttime light intensity dominated in Jiangsu Province, characterized by flat terrain and high urbanization. Multi-factor interactions generally enhanced explanatory power regarding spatial patterns, confirming that cultivated land fragmentation is a result of comprehensive multi-factor interactions. This study reveals the spatial distribution characteristics of cultivated land fragmentation at the pixel scale in the study region, providing theoretical foundations and decision-making references for the efficient utilization of cultivated land resources and rural land system reforms.

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Cite This Study

Gou et al. (2026) studied this question.

synapsesocial.com/papers/69e866ad6e0dea528ddeb060https://doi.org/10.3390/land15040671
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