长江科学院院报2025,Vol.42Issue(6):78-86,9.DOI:10.11988/ckyyb.20240460
崇明岛滨海湿地碳储量时空分布及影响因素
Spatiotemporal Distribution and Influencing Factors of Carbon Storage in Chongming Coastal Wetlands
摘要
Abstract
[Objectives]In the context of global climate change,studies on coastal wetlands and their carbon sink capacity face both major opportunities and challenges.Therefore,investigating their spatiotemporal distribution is crucial for achieving the"dual carbon"goals.[Methods]Taking the coastal wetlands of Chongming Island,Shanghai,as the study area,Sentinel-2 remote sensing images in 2015,2017,2019,and 2021 were used.Based on corrected carbon density and land use derived from supervised classification,the spatiotemporal distribution characteristics of carbon storage were obtained.The influencing factors of carbon storage were quantitatively ana-lyzed using the geodetector method.[Results]The periphery of Chongming Island is dominated by wetlands,with natural wetlands(mainly river-lake water bodies,grasslands,reed beds,and tidal flats)primarily distributed along the shoreline,while the inner area is non-wetland.The area of both artificial and natural wetlands increased signifi-cantly,by approximately 20 000 hm2.The carbon storage of Chongming Island first increased and then decreased,but wetland carbon storage remained high,showing an overall positive trend of annual increase(approximately 600000 tons).Conversions from non-wetland to both natural and artificial wetlands led to increases in carbon storage,indicating the high carbon sequestration potential of coastal wetlands.Natural factors had a weak influence on wet-land carbon storage in Chongming Island,whereas socioeconomic development had a stronger impact.The geodetec-tor q-values for economic added value and land use intensity reached 0.79 and 0.82,respectively.The interactive effects of natural and human factors,such as GPP combined with economic added value and population,yielded a q-value of up to 0.99,highlighting the importance of human-nature harmony in enhancing carbon sequestration in wetlands.[Conclusion]Using meteorological data from Shanghai and Chongming Island,together with a carbon density correction model,the local carbon density of Chongming District was derived.This method has low data ac-quisition difficulty,as most meteorological data required for local carbon density calculations can be obtained from the study area's statistical yearbooks,and pre-correction carbon density can be retrieved from other literature.The method is applicable to coastal wetlands and other"dual carbon"focus areas,enabling accurate acquisition of lo-calized parameters and improving the accuracy of carbon storage estimation to some extent.Additionally,directly applying geodetector to carbon storage simplifies the analysis process compared to indirect detection via land cover types and improves accuracy.The results show that wetland areas are generally increasing,with a significant growth in the proportion of natural wetlands.Carbon storage in Chongming's coastal wetlands has increased annually,indi-cating initial success in wetland conservation.Dual-factor interactive effects have a greater impact on coastal wetland carbon storage than single-factor effects,and carbon storage is greatly influenced by socioeconomic factors.关键词
碳储量/时空分布/驱动因素/地理探测器/崇明岛Key words
carbon storage/spatiotemporal distribution/driving factors/geodetector/Chongming Island分类
资源环境引用本文复制引用
韩震,翁暄,周怿,杭君,陈荷,顾薇..崇明岛滨海湿地碳储量时空分布及影响因素[J].长江科学院院报,2025,42(6):78-86,9.基金项目
教育部产学合作协同育人项目(202102245031) (202102245031)