Multivariate and univariate asymmetrical analyses in environmental impact assessment: a case study of Mediterranean subtidal sessile assemblages
By A. Terlizzi, L. Benedetti‐Cecchi, S. Bevilacqua, Simonetta Fraschetti, P. Guidetti, Marti J. Anderson. 2005
175 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/b85d921ccf23576abd6ea02d8befe0a569a01eb6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- James C. Stegen
- Jonathan M. Chase
- K. Davies
- T. O. Crist
- Nathan J B Kraft
- S. Harrison
- A. Terlizzi
- M. Vellend
In Global and Planetary Change
- James C. Stegen
- K. Davies
- S. Harrison
- N. Swenson
- R. Miranda
- Francisco Barros
- Jonathan M. Chase
- N. Sanders
In Oceanography
- A. Terlizzi
- Jonathan M. Chase
- Marti J. Anderson
- Simonetta Fraschetti
- M. Vellend
- Hanna Tuomisto
- P. Guidetti
Citations in the corpus
- Quantifying effects of pollution on biodiversity: a case study of highly diverse molluscan assemblages in the Mediterranean (2005, methodology): “…spp. Specific information about the type and volumes of discharged waste waters, as well as a more detailed account of spatio-temporal patterns of abundance and species composition of sessile assemblages in relation to the presence of the outfall is reported elsewhere (Terlizzi et al. 2005).”
- Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. (2011, methodology): “Components could also be compared across multiple levels of other factors, with formal tests for differences obtained using bootstrapping, as has been done to compare univariate variance components (Terlizzi et al. 2005).”
- Effects of the alien coral Tubastraea tagusensis on native coral assemblages in a southwestern Atlantic coral reef (2016, background): “Previous studies argued that ANOVA was robust to departures from the assumption of homogeneous variances when there were many independent estimates of sample variance (e.g., Underwood 1997; Terlizzi et al. 2005a), as in the present study.”