辽宁省海水养殖贝藻类碳汇能力评估

doi:10.16535/j.cnki.dlhyxb.2019-121

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大连海洋大学学报 ›› 2020, Vol. 35 ›› Issue (3) : 382-386. DOI: 10.16535/j.cnki.dlhyxb.2019-121

辽宁省海水养殖贝藻类碳汇能力评估

于佐安1，谢玺1，朱守维2，杜尚昆2，李晓东3，李大成1，周遵春1，王庆志1*

作者信息 +

Potential assessment of carbon sink capacity by bivalves and seaweeds in mariculture in Liaoning Province

YU Zuoan1, XIE Xi1, ZHU Shouwei2, DU Shangkun2, LI Xiaodong3, LI Dacheng1, ZHOU Zuncun1, WANG Qingzhi1*

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文章历史 +

摘要

为了评估海水养殖贝藻类的碳汇能力或潜力，根据辽宁省近年来贝藻类养殖产量(2015、2016、2017年分别为271.28万t、284.46万t、281.50万t)，参考贝藻类干组织中碳含量和干组织占总质量比例，从物质量评估和价值量评估两方面对2015—2017年辽宁省贝藻类养殖的碳汇能力进行定量评估。结果表明：2015、2016、2017年辽宁省海水养殖贝藻类通过收获可以从海水中分别移除碳约27.95万t、27.51万t和27.86万t，平均每年移除碳约27.77万t，相当于101.82万t二氧化碳(CO2),减排这些CO2所需费用约1.60亿元。研究表明，辽宁省基于贝藻类养殖的碳汇渔业具有巨大生态效益和经济效益。

Abstract

Potential carbon sink capacity by bivalves and seaweeds in mariculture in Liaoning Province is assessed by carbon content and proportion of dry matter in total weight in production of marine bivalves and seaweeds in Liaoning Province from 2015 to 2017. The production of marine bivalves and seaweeds in Liaoning Province was 271.28×104 t in 2015, 284.46 ×104 t in 2016， 281.50×104 t in 2017, and removal of carbon from the sea by harvests of marine bivalves and seaweeds was 27.95×104 t of carbon in 2015, 27.51×104 t of carbon in 2016, and 27.86×104 t of carbon in 2017, with average of 27.77×104 t of carbon, equal to 101.82×104 t of CO2, costing 1.60×108 Yuan RMB for CO2 capture and storage. The findings indicated that carbon sink fisheries based on mariculture of bivalves and seaweeds had remarkable economic, and ecological benefits.

导出引用

于佐安, 谢玺, 朱守维, 杜尚昆, 李晓东, 李大成, 周遵春, 王庆志. 辽宁省海水养殖贝藻类碳汇能力评估[J]. 大连海洋大学学报, 2020, 35(3): 382-386 https://doi.org/10.16535/j.cnki.dlhyxb.2019-121

YU Zuoan, XIE Xi, ZHU Shouwei, DU Shangkun, LI Xiaodong, LI Dacheng, ZHOU Zuncun, WANG Qingzhi. Potential assessment of carbon sink capacity by bivalves and seaweeds in mariculture in Liaoning Province[J]. Journal of Dalian Fisheries University, 2020, 35(3): 382-386 https://doi.org/10.16535/j.cnki.dlhyxb.2019-121

中图分类号： S917

基金

大连市科技创新基金资助项目(2019J12SN60);辽宁省重点研发计划指导项目(2017203006, 2018020275-301)；辽宁省自然科学基金重点项目(20170540484)；辽宁省海洋与渔业厅科研项目(201826,201818)；大连市高层次创新人才支持计划项目(2016RQ081)；辽宁省农业科学院院长基金资助项目(2020QN2424)；国家现代农业产业技术体系建设专项(CARS-49)