2006
DOI: 10.1016/j.biocon.2005.12.030
|View full text |Cite
|
Sign up to set email alerts
|

Assessing the effects of marine protected area (MPA) on a reef fish assemblage in a northwestern Mediterranean marine reserve: Identifying community-based indicators

Abstract: Marine protected areas (MPAs) are increasingly envisaged as a tool to manage coastal ecosystems and fisheries. Assessment of their performance with respect to management objectives is therefore important. A number of MPAs provided conservation benefits for fished species. Observed benefits do not apply to all species at all times, and responses to protection are also highly variable among fish taxa. Among the many empirical studies on marine reserves, only a few designs considered 'before and after data' and s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

12
165
0
5

Year Published

2008
2008
2017
2017

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 221 publications
(182 citation statements)
references
References 83 publications
12
165
0
5
Order By: Relevance
“…In addition, they have the advantage of being carefully monitored, and data sets are usually available over several years (e.g. Claudet et al 2006, Guidetti et al 2008). …”
Section: Introductionmentioning
confidence: 99%
“…In addition, they have the advantage of being carefully monitored, and data sets are usually available over several years (e.g. Claudet et al 2006, Guidetti et al 2008). …”
Section: Introductionmentioning
confidence: 99%
“…Para evidenciar diferencias significativas en la riqueza, promedio presentes en los dos sitios de muestro, tanto temporalmente como espacialmente, se realizó un PERMANOVA factorial de 2 vías. Para variables univariadas se calculó la distancia euclidiana entre pares de observaciones (Claudet et al 2006). permutaciones sin restriccidatos.…”
Section: Análisis De Datosunclassified
“…This index has been used in previous work with MRT analysis and cluster analysis to provide an accurate means to classify and map MRT predictions (e.g. Claudet et al 2006, DeVantier et al 2006, Cappo et al 2007; see Fig. 2).…”
Section: Data Atlantic Codmentioning
confidence: 99%