Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/49557
Title: "How" and "what" matters: Sampling method affects biodiversity estimates of reef fishes
Authors: Bosch Guerra, Néstor Echedey 
Gonçalves, Jorge M. S.
Erzini, Karim
Tuya, Fernando 
UNESCO Clasification: 3308 Ingeniería y tecnología del medio ambiente
241705 Biología marina
Keywords: Asymptotic richness
Baited remote underwater video
Biodiversity patterns
Cost-efficiency
Fish traps, et al
Issue Date: 2017
Journal: Ecology and Evolution 
Abstract: Understanding changes in biodiversity requires the implementation of monitoring programs encompassing different dimensions of biodiversity through varying sampling techniques. In this work, fish assemblages associated with the "outer" and "inner" sides of four marinas, two at the Canary Islands and two at southern Portugal, were investigated using three complementary sampling techniques: underwater visual censuses (UVCs), baited cameras (BCs), and fish traps (FTs). We firstly investigated the complementarity of these sampling methods to describe species composition. Then, we investigated differences in taxonomic (TD), phylogenetic (PD) and functional diversity (FD) between sides of the marinas according to each sampling method. Finally, we explored the applicability/reproducibility of each sampling technique to characterize fish assemblages according to these metrics of diversity. UVCs and BCs provided complementary information, in terms of the number and abundances of species, while FTs sampled a particular assemblage. Patterns of TD, PD, and FD between sides of the marinas varied depending on the sampling method. UVC was the most cost-efficient technique, in terms of personnel hours, and it is recommended for local studies. However, for large-scale studies, BCs are recommended, as it covers greater spatio-temporal scales by a lower cost. Our study highlights the need to implement complementary sampling techniques to monitor ecological change, at various dimensions of biodiversity. The results presented here will be useful for optimizing future monitoring programs.
URI: http://hdl.handle.net/10553/35698
ISSN: 2045-7758
DOI: 10.1002/ece3.2979
Source: Ecology and Evolution [ISSN 2045-7758], v. 7 (13), p. 4891-4906, (2017)
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