摘要
滨海湿地碳储量巨大,研究其时空分布对实现“双碳”目标具有重要意义。以上海崇明岛滨海湿地为研究对象,利用2015年、2017年、2019年、2021年Sentinel-2遥感影像,在修正碳密度基础上,结合土地利用状况得到了其碳储量时空分布特征,并通过地理探测器定量分析了碳储量的影响因素。研究结果表明:崇明岛外围为湿地,内侧为非湿地区域,人工湿地与自然湿地面积增加显著,增加约2万hm^(2);崇明岛碳储量整体呈逐年增加的向好趋势,增加约60万t,非湿地向自然湿地和人为湿地的转化均表现为碳储量增加;自然因素对崇明岛湿地碳储量的影响均较弱,而社会经济发展对崇明岛湿地碳储量的影响较大,其中经济增加值与土地利用强度的地理探测器q值分别达到了0.79和0.82。崇明岛滨海湿地碳储量逐年增加,湿地保护初见成效,同时其碳储量受社会经济因素影响较大。
[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 analyzed 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 significantly,by approximately 20000 hm^(2).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 wetland carbon storage in Chongming Island,whereas socioeconomic development had a stronger impact.The geodetector 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 acquisition 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 localized 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,indicating 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.
作者
韩震
翁暄
周怿
杭君
陈荷
顾薇
HAN Zhen;WENG Xuan;ZHOU Yi;HANG Jun;CHEN He;GU Wei(College of Oceanography and Ecological Science,Shanghai Ocean University,Shanghai 201306,China;Shanghai Estuarine Marine Mapping Engineering Technology Research Center,Shanghai 201306,China;Shanghai Aerospace Technology Co.,Ltd.,Shanghai 201109,China;Shanghai Chongming District Meteorological Bureau,Shanghai 202150,China)
出处
《长江科学院院报》
北大核心
2025年第6期78-86,共9页
Journal of Changjiang River Scientific Research Institute
基金
教育部产学合作协同育人项目(202102245031)。
关键词
碳储量
时空分布
驱动因素
地理探测器
崇明岛
carbon storage
spatiotemporal distribution
driving factors
geodetector
Chongming Island
