中国农业科学 ›› 2026, Vol. 59 ›› Issue (9): 1916-1936.doi: 10.3864/j.issn.0578-1752.2026.09.007

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇    下一篇

基于近40年土地利用变化的川中丘陵区碳储量时空演变与驱动因素分析

邓春秀1(), 姚莉2, 武鸿剑1, 李杰1, 沈悦1, 赖明1, 喻龙1, 郭伟1, 李瑾萌1, 林超文2, 李源洪1()   

  1. 1 四川省农业科学院遥感与数字农业研究所(成都农业遥感分中心), 成都 610066
    2 四川省农业科学院农业资源与环境研究所, 成都 610011
  • 收稿日期:2025-06-07 接受日期:2025-08-26 出版日期:2026-05-01 发布日期:2026-05-06
  • 通信作者:
    李源洪,E-mail:
  • 联系方式: 邓春秀,E-mail:13540890186@163.com。
  • 基金资助:
    国家重点研发计划(2024YFD1700200); 四川省自然科学基金(2024NSFSC1229)

Spatio-Temporal Evolution and Driving Factors of Carbon Storage in Hilly Areas in Central Sichuan Based on Land Use Change in the Past 40 Years

DENG ChunXiu1(), YAO Li2, WU HongJian1, LI Jie1, SHEN Yue1, LAI Ming1, YU Long1, GUO Wei1, LI JinMeng1, LIN ChaoWen2, LI YuanHong1()   

  1. 1 Institute of Remote Sensing and Digital Agriculture, Sichuan Academy of Agricultural Sciences (Chengdu Agricultural Remote Sensing Sub-center), Chengdu 610066
    2 Agricultural Resources and Environment Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610011
  • Received:2025-06-07 Accepted:2025-08-26 Published:2026-05-01 Online:2026-05-06

摘要:

【目的】探明长江上游典型丘陵区四川省遂宁市1986—2035年土地利用变化与碳储量的相关性,揭示区域“耕地保护-生态保护-碳汇”协同路径,为科学合理地促进碳储量提升和维持农业可持续发展提供理论依据。【方法】基于1986—2023年遥感解译土地利用数据,运用InVEST模型计算各时期碳储量,耦合地理探测器与岭回归解析空间分异驱动因子,结合PLUS模型模拟自然发展(NDS)、城镇发展(UDS)、生态优先(EPS)和耕地保护(CPS)4种情景下2035年土地利用与碳储量变化,探讨遂宁市近40年来碳储量的变化趋势及影响因素。【结果】(1)土地利用转型特征。近40年来,耕地、林地及建设用地面积变化显著,土地利用呈现“耕地收缩—城镇扩张—生态修复”三阶段演化。耕地占比从66.6%降至46.1%,建设用地扩张超1倍,从6.0%增加至13.4%,耕地转林地(56.3%)为主要转化路径。(2)碳储量双向效应。区域碳储量净增28.73×105 t,其中耕地转林地是驱动碳储量增加的最重要因子,其贡献核心碳汇增量113.16×105 t,其次为耕地转灌木,增储13.13×105 t,而建设用地扩张导致碳损失14.90×105 t;碳储量结构以土壤有机碳为主,其占比达84.0%以上。(3)驱动因素。地形-植被协同效应主导碳储量空间分异,植被指数(土壤调解植被指数、归一化植被指数、叶面积指数)贡献率超62.0%;地形因子因丘陵变异有限(坡度变异系数CV≤0.38)呈现“高q值-低贡献”悖离(实际贡献率<7.0%)。(4)情景预测。生态优先情景(EPS)为最大碳汇储量最优路径,碳储量微增0.2%,通过建设用地严控(增加2.2%)和林草协同修复(草地增加69.9%)实现;耕地保护情景(CPS)引发生态风险,虽耕地增加11.6%,但碳储量下降0.1%,且湿地转化率近50.0%。【结论】综合考虑近40年土地利用变化对碳储量的影响及其驱动因素,优化土地利用结构、推行“分区调控”策略,是促进川中丘陵区碳储量稳步提升的关键路径。

关键词: 土地利用变化, 碳储量, InVEST模型, PLUS模型, 地理探测器和岭回归, 川中丘陵区

Abstract:

【Objective】This study aimed to clarify the coupling mechanism between land use change and carbon storage in Suining City, Sichuan Province, is a typical hilly region in the upper reaches of the Yangtze River. Besides, the synergistic pathways for "cropland protection-ecological conservation-carbon sequestration" from 1986 to 2035 were explored. This study could provide a theoretical basis for scientifically and rationally promoting the increase of carbon storage and maintaining the sustainable development of agriculture.【Method】Based on land use data interpreted from remote sensing imagery from 1986 to 2023, the InVEST model was employed to estimate carbon storage across multiple time periods. Geographic detectors and ridge regression were used to analyze spatial differentiation drivers. The PLUS model was used to simulate land use and carbon storage changes under four 2035 scenarios: Natural Development (NDS), Urban Development (UDS), Ecological Priority (EPS), and Cropland Protection (CPS). The changing trends and influencing factors of carbon storage in Suining City over the past 40 years were explored.【Result】(1) Land use transformation patterns. Over the past 40 years, the area of cropland, forest land, and construction land has changed significantly, and land use has undergone a three-stage transition: "cropland contraction-urban expansion-ecological restoration". The proportion of crop land decreased from 66.6% to 46.1%, whereas construction land increased from 6.0% to 13.4%. The dominant transition pathway was cropland-to-forest (56.3%). (2) Bidirectional effects on carbon storage. Regional net carbon storage increased by 28.73×105 t, of which the conversion of cropland to forest land was the most important factor driving the increase of carbon storage, contributing 113.16×105 t to the increase of the core carbon increment, followed by the conversion of cropland to shrub land, which increased carbon storage by 13.13×105 t. In contrast, built-up land expansion resulted in a carbon loss of 14.90×105 t. The carbon storage structure was dominated by soil organic carbon, which accounted for more than 84.0%. (3) Driving mechanisms. Topography-vegetation synergistic effects primarily shaped the spatial heterogeneity of carbon storage. Vegetation indices-including Soil Adjusted Vegetation Index (SAVI), Normalized Difference Vegetation Index (NDVI), and Leaf Area Index (LAI)-accounted for over 62.0% of the explanatory power. Due to limited topographic variability in hilly areas (slope coefficient of variation CV≤0.38), topographic factors exhibited a paradox of "high q-value-low contribution" (actual contribution rate <7.0%). (4) Scenario simulations. The EPS scenario was identified as the optimal carbon-maximum pathway, with a marginal increase in carbon storage (0.2%) achieved by strictly controlling construction land (increase limited to 2.2%) and enhancing coordinated restoration of forest and grassland ecosystems (grassland area increased by 69.9%). In contrast, the CPS scenario induced ecological risks: although cropland expanded by 11.6%, carbon storage declined by 0.1%, and wetland conversion exceeded 50.0%.【Conclusion】Based on an analysis of the impact of land use changes over the past 40 years on carbon storage and its driving factors, optimizing land use structure and implementing a “zonal management” policy represented the key pathway to promoting the steady increase of carbon storage in the hilly region of central Sichuan.

Key words: land use change, carbon storage, InVEST model, PLUS model, Geodetector-Ridge Regression, hilly region of central Sichuan Province