Spatiotemporal Variability and Drivers of Cropland Non-Agricultural Conversion Across Mountainous County Types: Evidence from the Qian-Gui Karst Region, China DOI Creative Commons

Lu Qingping,

Siji Zhu,

Zhao Xiao

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(7), P. 795 - 795

Published: April 7, 2025

The accelerating conversion of agricultural land to non-agricultural uses poses critical threats food security and sustainable management, particularly in ecologically fragile karst mountainous regions. This study investigated the spatiotemporal patterns driving mechanisms cropland (CNAC) Qian-Gui region (Guangxi Guizhou, China) from 2000 2020, employing use datasets socioeconomic indicators through geographically weighted regression (GWR) modeling. results showed that (1) CNAC rate Qian-Guizhou reached 2.03%. area increased by 14.60 × 104 hm2, increasing 1.74 times 2010–2020 compared 2000–2010, showing a trend rapid growth. Specifically, growth was highest apparent (110.36%) quasi-mountainous counties (100.5%), followed semi-mountainous (95.28%), while entirely (40.89%) pure hilly (37.68%) experienced lowest growth, revealing distinct regional disparities. (2) Spatially, exhibited pattern “high north south, low central region”, overall level displayed significant imbalances, with extreme grades distributed provincial capitals, high medium concentrated prefecture-level city districts, light mainly located districts (accounting for more than 55.56% total number research units two time periods). (3) There spatial heterogeneity effect factors influencing CNAC. Agricultural output population density strongest positive correlations; effectively irrigated areas growing influence over (except counties); rocky desertification exerted strengthened on counties, their impact relatively lower other regions indicators. Therefore, when formulating policies protect farmland, it is essential take into account specific conditions different types adopt management measures tailored these characteristics.

Language: Английский

Spatiotemporal Variability and Drivers of Cropland Non-Agricultural Conversion Across Mountainous County Types: Evidence from the Qian-Gui Karst Region, China DOI Creative Commons

Lu Qingping,

Siji Zhu,

Zhao Xiao

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(7), P. 795 - 795

Published: April 7, 2025

The accelerating conversion of agricultural land to non-agricultural uses poses critical threats food security and sustainable management, particularly in ecologically fragile karst mountainous regions. This study investigated the spatiotemporal patterns driving mechanisms cropland (CNAC) Qian-Gui region (Guangxi Guizhou, China) from 2000 2020, employing use datasets socioeconomic indicators through geographically weighted regression (GWR) modeling. results showed that (1) CNAC rate Qian-Guizhou reached 2.03%. area increased by 14.60 × 104 hm2, increasing 1.74 times 2010–2020 compared 2000–2010, showing a trend rapid growth. Specifically, growth was highest apparent (110.36%) quasi-mountainous counties (100.5%), followed semi-mountainous (95.28%), while entirely (40.89%) pure hilly (37.68%) experienced lowest growth, revealing distinct regional disparities. (2) Spatially, exhibited pattern “high north south, low central region”, overall level displayed significant imbalances, with extreme grades distributed provincial capitals, high medium concentrated prefecture-level city districts, light mainly located districts (accounting for more than 55.56% total number research units two time periods). (3) There spatial heterogeneity effect factors influencing CNAC. Agricultural output population density strongest positive correlations; effectively irrigated areas growing influence over (except counties); rocky desertification exerted strengthened on counties, their impact relatively lower other regions indicators. Therefore, when formulating policies protect farmland, it is essential take into account specific conditions different types adopt management measures tailored these characteristics.

Language: Английский

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