Different levels of macroalgal sampling resolution for pollution assessment.
The effects of using reduced sampling resolutions to study macroalgal vegetation patterns have not been studied sufficiently. Here, we test the influence of taxonomic resolution level, removal of occasional species, aggregation of species abundances into functional groups and data transformation in the detection of a long-term recovery process by phytobenthic intertidal assemblages. Results indicate that the aggregation of species data into the genus level has very little influence. Likewise, almost any significant information is lost when occasional algae are removed. Analyses at the level of families and orders still clearly detect differences between highly degraded and reference vegetation. By contrast, analyses based on class and functional group abundances capture quite different information. The effect of transformation is similar at the different taxonomic levels. Most surrogate measures properly reflect changes in diversity. It is concluded that genus level is the most appropriate surrogate approach for detecting the recovery process.
Díez
Isabel
I
Departamento de Biología Vegetal y Ecología, Facultad de Ciencia y Tecnología, Universidad del País Vasco, Apdo. 644, Bilbao 48080, Spain. isabel.diez@ehu.es
Santolaria
Alberto
A
Gorostiaga
José María
JM
D004784:Environmental Monitoring; D012623:Seawater; D012624:Seaweed / Q000145:classification / Q000187:drug effects* / Q000502:physiology; D013997:Time Factors; D014874:Water Pollutants, Chemical / Q000737:chemistry* / Q000378:metabolism*; D014877:Water Pollution, Chemical
D014874:Water Pollutants, Chemical