关键词: 二元覆盖, 土壤储水量, 低耗水生育期, 土壤水分竞争, 旱作苹果园

Abstract: 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 classified 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 vegetation can be enhanced. Therefore, it is an effective way to strengthen wetland conservation and to restore the degraded wetland ecosystems for enhancing coastal wetland carbon sink and coping with climatic change.

Key words: binary coverage, soil water storage, low-water-consumption period, soil water competition, dryland apple orchard