| 8 | 0 | 9 |
| 下载次数 | 被引频次 | 阅读次数 |
在全球气候变化与国家“双碳”战略背景下，高密度城镇化地区的空间重构引发了多维功能冲突，深刻影响生态系统的碳汇能力。本研究基于2005—2020年土地利用数据，综合运用空间转移矩阵、InVEST模型与碳储量贡献率指标，分析广东省“三生”空间演变及其碳储量响应。结果表明：不同空间转换方向对区域碳储量具有差异化影响。农业生产空间持续收缩，工矿生产空间持续扩张，城乡生活空间净扩张速度逐步放缓，林地生态空间则先减后增，区域总碳储量随之呈“先降后升”趋势。本研究可为高密度城镇化地区识别碳汇流失源头，并为探索跨区域生态补偿机制与差异化管控策略提供决策支撑。
Abstract：Against the backdrop of global climate change and China′s carbon peaking and carbon neutrality goals, intensive spatial restructuring in highly urbanized regions has intensified conflicts among production, living, and ecological functions, thereby affecting ecosystem carbon sequestration capacity.Based on land-use data from 2005 to 2020,this study integrated the land-use transition matrix, the InVEST model, and the carbon storage contribution rate to investigate the spatiotemporal evolution of production-living-ecological(PLE) space and the associated impacts on carbon storage in Guangdong Province, China.The results showed that different PLE space transition pathways exerted heterogeneous effects on regional carbon storage.The area of agricultural production space continuously decreased, while industrial production space expanded steadily.The net expansion of urban-rural living space gradually slowed, whereas forest ecological space experienced an initial decline followed by recovery.Consequently, total regional carbon storage showed an initial decline followed by an increase.This study provides a scientific basis for identifying sources of carbon sink loss in highly urbanized regions and supports the development of differentiated spatial governance strategies and cross-regional ecological compensation mechanisms.
[1 ] FU J,BU Z,JIANG D,et al.Sustainable land use diagnosis based on the perspective of production-living-ecological spaces in China[J].Land Use Policy,2022,122:106386.
[2 ] XIA N,HAI W,TANG M,et al.Spatiotemporal evolution law and driving mechanism of production-living-ecological space from 2000 to 2020 in Xinjiang,China[J].Ecological Indicators,2023,154:110807.
[3 ] 尹力，魏伟，李泓锐，等.欧洲“三区”空间转型中的冲突演化特征、模拟预测与政策启示[J].经济地理，2025,45(6):11-25.
[4 ] 董珏娴，彭双云，崔毕婷，等.山地城市群“三生”空间多尺度耦合特征及其驱动机制[J].自然资源学报，2025,40(11):3182-3200.
[5 ] YAO G,XIEh.Rural spatial restructuring in ecologically fragile mountainous areas of southern China:A case study of Changgang Town,Jiangxi Province[J].Journal of Rural Studies,2016,47:435-448.
[6 ] DUAN Y,WANG H,HUANG A,et al.Identification and spatial-temporal evolution of rural “production-living-ecological” space from the perspective of villagers’ behavior-A case study of Ertai Town,Zhangjiakou City[J].Land Use Policy,2021,106:105457.
[7 ] 刘一辉，高培超，孙筱敏，等.广东省“三生”空间冲突评价与多尺度影响因素分析[J].北京师范大学学报(自然科学版),2024,60(06):819-830.
[8 ] HOU Y,ZHANG Z,WANG Y,et al.Function Evaluation and Coordination Analysis of Production-Living-Ecological Space Based on the Perspective of Type-Intensity-Connection:A Case Study of Suzhou,China[J].Land,2022,11(11):1954.
[9 ] LIANG C,ZHOU Y.Evaluating the impacts of whole-region comprehensive land consolidation on the optimization of rural production-living-ecological spaces in China[J].Habitat International,2025,162:103438.
[10 ] JIANG D,LIN G,FU J ying.Discussion on scientific foundation and approach for the overall optimization of “Production-Living-Ecological”space[J].JOURNAL OF NATURAL RESOURCES,2021,36(05):1085.
[11 ] 袁雪松，周俊，胡蓓蓓，等.基于FLUS模型粤港澳大湾区“三生空间”多情景模拟预测[J].地理科学，2023,43(03):564-574.
[12 ] 韦绍音，陆汝成，张利国，等.碳中和目标下的广西边境地区“三生”空间转型及碳储量效应[J].水土保持通报，2023,43(01):399-408.
[13 ] XING G,ZEWEI L,CHENXI L,et al.Land use function transformation in the Xiong′an New Area based on ecological-production-living spaces and associated eco-environment effects[J].
[14 ] 杨金凤，段志文，隆少秋，等.珠江三角洲农村居民点时空演变及多情景模拟[J].水土保持研究，2026,33(03):419-429.
[15 ] 朱志才，隆少秋，段志文，等.广东省耕地景观破碎化演变趋势及多情景模拟[J].华南农业大学学报，2026[2026-06-14].
[16 ] 林彤，杨木壮，吴大放，等.基于InVEST-PLUS模型的碳储量空间关联性及预测——以广东省为例[J].中国环境科学，2022,42(10):4827-4839.
[17 ] 徐玉静，杨昊，于泓，等.珠江三角洲海岸带蓝碳储量时空演变特征及驱动因素分析[J].生态环境学报，2026,35(08):1163-1175.
基本信息:
中图分类号:X321
引用信息:
[1]袁苏龙,段志文,盘惠琪,等.广东省“三生”空间转型及其碳储量效应研究[J].黑龙江国土资源,2026,24(10):22-28.
基金信息:
国自然基金项目(基于气候适应与社会协同的城市韧性演进研究(52561135229)); 公司专项科研基金项目(2025-KY3-024)融合多维度影响因子的城市更新潜力识别技术方法研究
2026-06-17
2026
2026-08-09
2026-08-10
2026
1
2026-10-28
2026-10-28