{"refrec":{"BRefID":359283,"RR":"<b>Wang, Q.; Shi, S.; Liu, X.</b> (2022). Functional diversity of macrofaunal assemblages as indicators to assess heavy metal pollution in the Bohai Sea, China. <i>Mar. Pollut. Bull. 185</i>: 114265. <a href=\"https://dx.doi.org/10.1016/j.marpolbul.2022.114265\" target=\"_blank\">https://dx.doi.org/10.1016/j.marpolbul.2022.114265</a>","BEntID":356998,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Mar. Pollut. Bull. 185</i>: 114265. <a href=\"https://dx.doi.org/10.1016/j.marpolbul.2022.114265\" target=\"_blank\">https://dx.doi.org/10.1016/j.marpolbul.2022.114265</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Wang, Q.; Shi, S.; Liu, X.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Wang, Q.; Shi, S.; Liu, X.","Englishabstract":"Functional diversity of macrofaunal assemblages can reflect the composition and differences of functional traits, indicating their response to various contaminants, especially heavy metal pollution. We explored the effects of environment variables over gradients of heavy metal pollution on macrofaunal assemblages, using biological traits analysis, generalized linear model (GLM), AZTI marine <a href=\"/topics/earth-and-planetary-sciences/biotic-index\" title=\"Learn more about biotic index from ScienceDirect's AI-generated Topic Pages\" class=\"topic-link\">biotic index</a> (</span><em>AMBI</em><span>), and various biodiversity indexes. The RLQ (co-inertia analysis) and fourth-corner approaches were used to investigate the specific response of functional traits to heavy metal pollution. Most sites were environmentally degraded by heavy metal pollution and macrofaunal body size had a <a href=\"/topics/earth-and-planetary-sciences/miniaturization\" title=\"Learn more about miniaturization from ScienceDirect's AI-generated Topic Pages\" class=\"topic-link\">miniaturization</a> trend. There was a significant correlation between functional diversity indexes and </span><em>AMBI</em><span>. The RLQ and fourth-corner analysis and GLM models showed that heavy metal and natural <a href=\"/topics/earth-and-planetary-sciences/environmental-gradient\" title=\"Learn more about environmental gradients from ScienceDirect's AI-generated Topic Pages\" class=\"topic-link\">environmental gradients</a> had a profound effect on functional diversity. The functional divergence and dispersion indexes, along with the abundance of some specific species, were appropriate indexes for heavy metal pollution.</span>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Functional diversity of macrofaunal assemblages as indicators to assess heavy metal pollution in the Bohai Sea, China","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-05-24 01:32:12.904532","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2022,"MonPub":null,"DateUpdate":"2022-11-17","DateCreate":"2022-11-17","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000878473100005","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.marpolbul.2022.114265"},"refs":null,"anarec":{"AnaID":359283,"PubliDate":2022,"Pagination":"114265","XtraPublOfAnaID":null,"ISBN":null,"Volume":"185","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43520,"SerRR":"Marine Pollution Bulletin. Macmillan: London.  ISSN 0025-326X; e-ISSN 1879-3363","StandardTitleSer":"Marine Pollution Bulletin","ISSN":"0025-326X","AbbrevSer":"Mar. Pollut. 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