[1]陈莎莎,钱海燕*,周杨明,等.鄱阳湖季节性淹水湿地土壤有机碳动态模拟与预测[J].江西师范大学学报(自然科学版),2022,(05):542-550.[doi:10.16357/j.cnki.issn1000-5862.2022.05.15]
　CHEN Shasha,QIAN Haiyan*,ZHOU Yangming,et al.The Dynamic Simulation and Prediction of Soil Organic Carbon in Seasonally Flooded Wetlands in Poyang Lake[J].Journal of Jiangxi Normal University:Natural Science Edition,2022,(05):542-550.[doi:10.16357/j.cnki.issn1000-5862.2022.05.15]
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鄱阳湖季节性淹水湿地土壤有机碳动态模拟与预测()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年05期
页码:
542-550
栏目:
鄱阳湖研究
出版日期:
2022-09-25

文章信息/Info

Title:
The Dynamic Simulation and Prediction of Soil Organic Carbon in Seasonally Flooded Wetlands in Poyang Lake
文章编号:
1000-5862(2022)05-0542-09
作者:
陈莎莎1; 钱海燕1*; 周杨明2; 王 娓3; 谢冬明4
(1.东华理工大学地球科学学院,江西 南昌 330013; 2.江西师范大学地理与环境学院,江西 南昌 330022; 3.江西省工程咨询中心有限公司,江西 南昌 330036; 4.江西科技师范大学旅游学院,江西 南昌 330038)
Author(s):
CHEN Shasha1; QIAN Haiyan1*; ZHOU Yangming2; WANG Wei3; XIE Dongming4
(1.School of Earth Sciences,East China University of Technology,Nanchang Jiangxi 330013,China; 2.School of Geography and Environment,Jiangxi Normal University,Nanchang Jiangxi 330022,China; 3.Jiangxi Engineering Consulting Center Company Limited,Nanchang Jiangxi 330036,China; 4.School of Tourism,Jiangxi Science and Technology Normal University,Nanchang Jiangxi 330038,China)
关键词:
有机碳;  DNDC;  模型模拟
Keywords:
organic carbon;  DNDC;  model simulation
分类号:
S 154.1
DOI:
10.16357/j.cnki.issn1000-5862.2022.05.15
文献标志码:
A
摘要:
该文以鄱阳湖国家级湿地自然保护区的泗洲头、常湖池以及蚌湖季节性淹水湿地为研究对象,选择典型湿地植被芦苇(Phragmites australis)、苔草(Carex spp)和南荻(Triarrhena lutarioriparia),基于DNDC模型模拟和预测不同湿地植被下表层(0～20 cm)土壤有机碳含量(mSOC)动态变化,估算土壤碳储量和CO2的年排放量.结果表明:DNDC模型能够准确模拟研究区不同典型植被下的mSOC动态变化,δRSME<30%,R2>0.9.敏感性分析显示:影响mSOC动态变化的敏感因素是初始土壤有机碳和黏粒含量.常湖池、蚌湖和泗洲头土壤平均有机碳密度分别为36.71、17.12和11.47 t·hm-2,土壤碳储量分别为8 738、66 090和21 174 t,常湖池具有较大的碳储量.苔草、南荻和芦苇平均土壤碳密度分别为21.96、21.86、15.98 t·hm-2,土壤碳储量分别为933 928、62 933、166 458 t,苔草固碳能力巨大.基于DNDC模型模拟预测表明:在未来120年内研究区不同植被类型土壤有机碳含量将呈稳定下降趋势.
Abstract:
Taking the seasonally flooded wetlands of Sizhoutou,Changhuchi and Banghu in Poyang Lake National Wetland Nature Reserve as the research objects,the typical wetland vegetation Phragmites australis,Carex spp and Triarrhena lutarioriparia are selected.Based on the DNDC model, the dynamic changs of soil organic carbon(mSOC)under the different wetland vegetation(0—20 cm)are simulated and predicted,and the soil carbon storage and annual CO2 emissions are estimated.The results show that the DNDC model can accurately simulate the dynamic changes of mSOC under different typical vegetation in the study area,with δRMSE<30% and R2>0.9. Sensitivity analysis shows that the sensitive factors affecting the dynamic change of mSOC are the initial soil organic carbon and clay content of the topsoil.The average soil organic carbon density of Changhuchi,Banghu and Sizhoutou are 36.71,17.12 and 11.47 t·hm-2,respectively,and the soil carbon storage are 8 738,66 090 and 21 174 t,respectively.Changhuchi has a larger carbon storage.The average soil carbon densities of C. spp,T. lutarioriparia and P. australis are 21.96,21.86 and 15.98 t·hm-2,respectively,and the soil carbon storage are 933 928,62 933 and 166 458 t,respectively.C. spp has a huge carbon sequestration capacity.Based on the DNDC model simulation prediction,it is found that the soil organic carbon content of different vegetation types in the study area will show a steady downward trend in the next 120 years.

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　XIE Dongming,YI Qing,ZHOU Guohong,et al.The Spatio-Temporal Characteristics of Carbon,Nitrogen and Phosphorus in Surface Soil of Tideland in Poyang Lake Wetlands[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(05):82.[doi:10.16357/j.cnki.issn1000-5862.2020.01.14]

备注/Memo

备注/Memo:
收稿日期:2022-05-22
基金项目:国家自然科学基金(41561105),江西省自然科学基金(20212BAB203002),东华理工大学博士科研启动基金(DHBK201909838)和江西省重点研发计划课题(20181BBG70037)资助项目.
通信作者:钱海燕(1977—),女,江苏南通人,副研究员,博士,主要从事土壤生态学研究.E-mail:hyqian@163.com
更新日期/Last Update: 2022-09-25