Carbon emissions of cultivated land use transformation and influencing factors at different spatial scales —A case study in Hunan Province

Yang Jun; Liu Chang; Yuan Shujun; Wei Yutong; Wang Yibo; Xie Jiaxuan; Meng Yuanyuan; Yu De

doi:10.13961/j.cnki.stbctb.2025.01.028

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Carbon emissions of cultivated land use transformation and influencing factors at different spatial scales —A case study in Hunan Province

- Carbon emissions of cultivated land use transformation and influencing factors at different spatial scales —A case study in Hunan Province
- Bulletin of Soiland Water Conservation Vol. 45, Issue 1, Pages: 264-275(2025)
- 作者机构：
  
  1. 湖南农业大学资源学院,湖南,长沙,410128
  2. 湖南工程职业技术学院,湖南,长沙,410000
  3. 湖南农业大学风景园林与艺术设计学院,湖南,长沙,410128
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.01.028
  CLC： F301.2;X171.1
- Published：2025
- 稿件说明：
移动端阅览
Yang Jun, Liu Chang, Yuan Shujun, et al. Carbon emissions of cultivated land use transformation and influencing factors at different spatial scales —A case study in Hunan Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 264-275.
DOI：

Yang Jun, Liu Chang, Yuan Shujun, et al. Carbon emissions of cultivated land use transformation and influencing factors at different spatial scales —A case study in Hunan Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 264-275. DOI： 10.13961/j.cnki.stbctb.2025.01.028.

摘要

[目的] 分析耕地利用转型特征和碳排放时空分布差异，探究各影响因素在耕地利用转型碳排放过程中的作用机制，为耕地低碳化利用提供科学依据。[方法] 基于土地利用数据结合碳排放系数，从县区与5 km网格尺度揭示湖南省2000—2020年耕地利用转型及其产生的碳排放的时间演化特征，借助空间自相关方法识别和分析碳排放空间分布特征，最后运用最优参数地理探测器探究因子影响与因子间的相互作用程度。[结果] ①研究期内湖南省的耕地面积缩减，伴随耕地与林地、水域以及建设用地之间转化，碳排放量呈现波动增加趋势。②空间自相关分析显示耕地利用转型碳排放在两种尺度上皆存在显著的高—高集聚和低—低集聚现象，表明耕地利用转型碳排放在时空维度均具有较强的集中分布特征。③各影响因子间的交互作用对碳排放的解释力皆强于单因子作用强度，社会经济因素和区位条件因素的交互作用在两种尺度下均有显著的解释力。[结论] 湖南省耕地利用转型对碳排放的影响显著，不同空间尺度下碳排放特征和驱动因素存在明显差异，未来应当更科学合理制定耕地利用减排降碳措施。

Abstract

[Objective] The characteristics of cultivated land use transformation and the differences in spatial and temporal distribution of carbon emissions were analyzed to explore the mechanisms of influencing factors in the process of cultivated land use transformation carbon emissions

in order to provide scientific basis for the low-carbonization of cultivated land use. [Methods] Using land use data and the carbon emission coefficients

the temporal evolution characteristics of cultivated land use transformation and its carbon emissions from 2000 to 2020 in Hunan Province were shown at the county and 5 km grid scales. The spatial distribution characteristics of carbon emissions were identified and analyzed using the spatial autocorrelation method. The depth of the influence of factors and the degree of interaction between them were assessed using the optimal parameter Geodetector model. [Results] ① Throughout the study period

the area of cultivated land in Hunan Province decreased continuously. With frequent conversions between cultivated land and forest land

water areas

and construction land

carbon emissions showed a fluctuating and increasing dynamic change trend. ② A spatial autocorrelation analysis showed significant high-high and low-low concentration phenomena at both scales

indicating strong concentration distribution characteristics in both spatial and temporal dimensions. ③ The interactions among factors were stronger than those of single factors

with socioeconomic factors and locational conditions having significant explanatory power at both scales. [Conclusion] The effect of cultivated land use transformation on carbon emissions in Hunan Province is significant

with clear differences in carbon emission characteristics and drivers at different spatial scales. Future measures for carbon emission reduction measures and cultivated land use planning should be formulated both scientifically and rationally.

关键词

Keywords

references

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