2008
DOI: 10.1016/j.ecolind.2007.04.005
|View full text |Cite
|
Sign up to set email alerts
|

Macroalgae, a suitable indicator of the ecological status of coastal rocky communities in the NE Atlantic

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
78
0
1

Year Published

2010
2010
2019
2019

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 147 publications
(80 citation statements)
references
References 19 publications
1
78
0
1
Order By: Relevance
“…can be classified as opportunistic (Juanes et al, 2008). An increase in abundance of the alien species Asparagopsis armata was also noted in the investigated area (DAISIE, 2008).…”
Section: Changes In Kelp Forest Communitymentioning
confidence: 99%
“…can be classified as opportunistic (Juanes et al, 2008). An increase in abundance of the alien species Asparagopsis armata was also noted in the investigated area (DAISIE, 2008).…”
Section: Changes In Kelp Forest Communitymentioning
confidence: 99%
“…Due to their high diversity, sessile nature and wide distribution, macroalgae are considered good descriptors of rocky shore assemblages, and they are widely used to characterise and monitor coastal systems (Leliaert et al 2000;Piazzi et al 2002) and anthropogenic disturbances (Piazzi et al 2001;Díez et al 2009). Therefore, macroalgae have been included as key organisms in the determination of the ecological quality status of coastal water bodies in the European water Framework Directive (Ballesteros et al 2007;Juanes et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Macroalgae have been widely used as indicators of pollution gradients and to document the ecological status of habitats (Fong et al 2001, Orfanidis et al 2001, Panayotidis et al 2004, EPA 2008, Juanes et al 2008, Lin and Fong 2008. In the present study, it was postulated that the spatial and temporal patterns of the structural attributes of macroalgal assemblages, and their nutrient tissue content, can be used to provide dynamic metrics to assess restoration success and serve as early-warning indicators of unexpected or undesired conditions within an adaptive management framework ).…”
Section: Introductionmentioning
confidence: 99%