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机构地区:[1]南京大学海岸与海岛开发教育部重点实验室,江苏南京210098 [2]中国科学院海洋研究所,山东青岛266071
出 处:《海洋通报》2012年第5期547-551,共5页Marine Science Bulletin
基 金:国家自然科学基金(40606025);国家公益性行业(农业)科研专项(200903001-1);国家基础科学人才培养基金(J0630535)
摘 要:运用稳定同位素技术,借助两种不同的计算模型,对原生湿地的沉积物有机质来源进行了潜在物源分析,并计算了盐沼植被对其生态系统有机质的贡献。通过多元线性混合模型和欧几里德距离模型计算得知,在假定微体藻类的δ13C值为-23‰的情况下,微体藻类、互花米草是盐沼湿地生态系统的主要贡献体。其中微体藻类的平均贡献量可达40%,是苏北盐沼湿地生态系统有机质来源的主要贡献者;互花米草植被对互花米草滩的有机质贡献率达56%,对滩外的潮间带水体的有机质贡献率可达57%,在滨海湿地生态系统中占有重要地位。两种定量计算模型比较分析发现,欧几里德距离模型会对偶然性物源的贡献计算结果偏高,高贡献率的物源有平均化的趋势。Stable isotope techniques and different calculation models were used to analyze the potential sources of sediment organic matter in the core area of primary wetland and to calculate the contribution of salt marsh vegetation. By using multiple resources linear mixing model and the Euclidean distance model, we concluded that micro-algae and Spartina alterniflora were the main contributors in the assumption that the 813C value of micro-algae was -23 %0. Micro- algae was the leading contributor to the sah marsh wetland ecosystems in northern Jiangsu, the average contribution rate of which was 40 %. The contribution rate of Spartina alterniflora to its marsh was 56 % and to the intertidal was 57 %. By comparing the two quantitative models, it was found that the Euclidean distance model would overestimate the contribution of incidental resources and average the resources with high contribution rate.
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