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天津大神堂区域造礁牡蛎固碳量调查评估

郑美玲 崔莹 刘森 于丹 马玉艳 江洪友 孙欢 牛福新

华东师范大学学报(自然科学版)Issue(3):88-97,10.
华东师范大学学报(自然科学版)Issue(3):88-97,10.DOI:10.3969/j.issn.1000-5641.2026.03.007

天津大神堂区域造礁牡蛎固碳量调查评估

Assessment of carbon stock by reef-building oysters in the Dashentang Area,Tianjin

郑美玲 1崔莹 2刘森 1于丹 1马玉艳 1江洪友 1孙欢 1牛福新1

作者信息

  • 1. 自然资源部天津海洋中心(自然资源部天津海洋预报台),天津 300457
  • 2. 华东师范大学河口海岸全国重点实验室,上海 200241
  • 折叠

摘要

Abstract

This study aimed to quantify the carbon stock contributed by reef-building oysters in the Dashentang oyster reef ecosystem,Tianjin.For the first time,the carbon stock of Crassostrea gigas(C.gigas)was evaluated using an inventory-based approach.Stepwise regression analysis was applied to examine the relationship between oyster carbon density and water quality parameters,thereby identifying the environmental factors that influence carbon density.In addition,a regression model was developed to predict the shell dry weight from shell height.Results revealed that in June and October 2024,the average total carbon density of C.gigas in the Dashentang Area of Tianjin was 34.37 t C/hm2 and 25.81 t C/hm2,respectively,corresponding to total carbon stocks of(6 945.40±422.88)t C and(5 214.01±458.33)t C,indicating higher carbon stock in June than in October.Water temperature and turbidity accounted for 77.6%of the total carbon density variability,thereby indicating that water temperature and turbidity influenced the carbon density in the study area.Furthermore,the goodness of fit of the power function(lny=ln0.002+2.126 lnx)regression model for the shell dry weight and shell height demonstrated excellent fit(R2=0.958),confirming that shell dry weight can be reliably estimated from shell height for practical applications.

关键词

天津大神堂/牡蛎礁生态系统/长牡蛎/固碳量/回归分析

Key words

Dashentang,Tianjin/oyster reef ecosystem/Crassostrea gigas/carbon stock/regression analysis

分类

资源环境

引用本文复制引用

郑美玲,崔莹,刘森,于丹,马玉艳,江洪友,孙欢,牛福新..天津大神堂区域造礁牡蛎固碳量调查评估[J].华东师范大学学报(自然科学版),2026,(3):88-97,10.

基金项目

国家重点研发专项(2019YFC1407801) (2019YFC1407801)

2023年北海局海洋科技项目(202309) (202309)

天津市规划和自然资源局科技项目(KJ[2023]36) (KJ[2023]36)

自然资源部渤海生态预警与保护修复重点实验室开放基金(2023112) (2023112)

天津市规划和自然资源局科技项目(25SGHZYJ028) (25SGHZYJ028)

2024年度部省合作项目(2024ZRBSHZ106) (2024ZRBSHZ106)

华东师范大学学报(自然科学版)

1000-5641

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