Yellow River delta (YRD) is a typical example of a valuable coastal ecosystem that is under increasing anthropogenic threat in China. To understand the current health status of this region, three surveys in 2011 for the abiotic conditions and macrobenthic assemblages were performed. The concentration of trace metals were relatively low in the sediment at all sampling stations representing a good sediment quality. A total of 159 macrobenthic species were identified during the three surveys. ABC curves showed that the macrobenthic fauna at 8 sampling stations suffered disturbances from human activities. M-AMBI index indicates that the benthic ecological quality of YRD is currently still not in a good condition. Five trace metals, water temperature and depth were the main environmental variables affecting the distribution pattern of macrobenthic assemblages. Community succession has occurred over the past 60 years, as evidenced by changes of species composition, key species, distribution pattern and range. (C) 2017 Elsevier Ltd. All rights reserved.
Chinese Academy of Sciences(XDA11020403
; National Natural Science Foundation of China(NSFC410611305431)
; Netherlands Organization for Scientific Research(843.10.003)
; International cooperation
; CAS
; Chinese-foreign cooperation(133337KYSB20160002)
; XDA1102702
; KZZD-EW-14)
关键词[WOS]:
MARINE BIOTIC INDEX
; ASSESSING BENTHIC HEALTH
; BOHAI SEA
; CHEMICAL CHARACTERISTICS
; MACROFAUNAL ASSEMBLAGES
; COMMUNITY STRUCTURE
; FUNCTIONAL-GROUPS
; QUALITY STATUS
; LAIZHOU BAY
; ESTUARINE
1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Biol & Bioresource Utilizat, Yantai 264003, Peoples R China 2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China 3.Univ Utrecht, Dept Estuarine & Delta Syst EDS, NIOZ Royal Netherlands Inst Sea Res, POB 140, NL-4400 AC Yerseke, Netherlands 4.Univ Appl Sci, Vlissingen, Netherlands
Recommended Citation:
Li, Baoquan,Li, Xiaojing,Bouma, Tjeerd J.,et al. Analysis of macrobenthic assemblages and ecological health of Yellow River Delta, China, using AMBI & M-AMBI assessment method[J]. MARINE POLLUTION BULLETIN,2017,119(2):23-32.
