摘要
理解湿地植被类型、生物量与环境因素间的关系,是湿地植被恢复的基础。本文在野外调查的基础上,采用TWINSPAN对黄渤海滨海湿地进行类型划分,利用冗余度分析来确定影响研究区湿地类型分布和生物量差异的环境因素,以期为湿地的恢复提供科学依据。结果表明:黄渤海滨海湿地可以划分为11种类型;土壤电导率和土壤总碳对黄渤海滨海湿地类型的分布有显著影响;湿地具有较高的生物量,其中,互花米草(Spartina alterniflora)群落的生物量最高(48512 kg·hm^(-2)),盐地碱蓬(Suaeda salsa)、芦苇(Phragmites australis)和柽柳(Tamarix chinensis)群落的生物量较高,均超过5000 kg·hm-2,其他类型的生物量较低,小于5000 kg·hm-2;影响研究区湿地类型生物量的主要因素为土壤有机碳和总氮含量。在气候变暖、氮沉降增加情况下,滨海湿地生物量将进一步增加,滨海湿地具有很大的固碳潜力。因此,加强研究区湿地的保护和退化湿地的生态恢复,是增加滨海湿地碳汇和应对气候变化的有效途径。
Understanding the relationships among wetland types, biomass and environmental factors is fundamental for wetland vegetation restoration. Based on field investigation in coastal areas of Yellow Sea and Bohai, TWINSPAN was used to categorize wetland types, and redundancy analysis was used to determine the major environmental factors affecting the spatial distribution and biomass variation of wetland types, aiming to provide scientific basis for wetland restoration. Results showed that wetland vegetation in coastal areas of Yellow Sea and Bohai could be classi- fied into eleven types. Soil total carbon content and electrical conductivity significantly influenced the spatial distribution of wetland types. The wetlands in coastal areas of yellow Sea and Bohai had high biomass, with the highest （48512 kg · hm-2） occurring in Spartina alterniflora community, followed by Suaeda salsa, Phragmites australis, and Tamarix chinensis communities （〉5000 kg · hm-2） , and the lower （〈5000 kg · hm-2） in other communities. Soil organic carbon and total nitrogen contents were the major factors influencing the spatial variation of wetland biomass. Under climatic warming and increased nitrogen deposition, the biomass of wetland vege tation can be enhanced. Therefore, it is an effective way to strengthen wetland conservation and to restore the degraded wetland ecosystems for with climatic change. enhancing coastal wetland carbon sink and coping
作者
常雄凯
曾辉
刘淼
CHANG Xiong-kai;ZENG Hui;LIU Miao(School of Urban Planning and Design,Peking University,Shenzhen 518055,Guangdong,China;Key Laboratory of Forest Ecology and Management,Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China)
出处
《生态学杂志》
CAS
CSCD
北大核心
2018年第11期3298-3304,共7页
Chinese Journal of Ecology
基金
国家重点研发计划项目(2017YFC0505704)
国家自然科学基金项目(41671184)资助
关键词
黄渤海
湿地
生物量
冗余度分析
Huang-Bo Sea
wetland
biomass
redundancy analysis
