| one publication added to basket [258328] | Predictive habitat modelling of reef fishes with contrasting trophic ecologies
In: Marine Ecology Progress Series. Inter-Research: Oldendorf/Luhe. ISSN 0171-8630; e-ISSN 1616-1599, more |   |
| Keywords | Abundance
Information systems > GIS
Azores [Marine Regions]
Marine/Coastal | | Author keywords | Spatial predictive modelling; Habitat mapping; Generalised additive model; GAM; Multi-species |
| Abstract | The success of marine spatial management and, in particular, the zonation of marine protected areas (MPAs), largely depends on the good understanding of species’ distribution and habitat preferences. Yet, detailed knowledge of fish abundance is often reduced to a few sampled locations and a reliable prediction of this information across broader geographical areas is of major relevance. Generalised additive models (GAMs) were used to describe species-environment relationships and identify environmental parameters that determine the abundance or presence-absence of 11 reef fishes with contrasting life histories in shallow habitats of the Azores islands, Northeast Atlantic. Predictive models were mapped and visualised in a geographic information system (GIS) and areas with potential single or multi-species habitat hotspots were identified. Schooling, pelagic species typically required presence-absence models, whereas abundance models performed well for benthic species. Depth and distance to sediment significantly described the distribution for nearly all species, whereas the influence of exposure to swell or currents and slope of the seafloor depended on their trophic ecology. Potential presence of single species was widespread across the study area but much reduced for multiple species. There were no habitats shared by high abundances of all species in a given trophic group, and areas shared by minimal abundances were smaller than expected. Potential habitat hotspots should be considered as priority sites for conservation, but were only partially included in the existing MPA network. These findings highlight the potential of this methodology to support scientifically sound conservation planning, including but not restricted to fragmented and constrained habitats, such as those of oceanic archipelagos. |
| Dataset | - Afonso P; Institute of Marine Research (IMAR - Azores), Portugal; Department of Oceanography and Fisheries (DOP) - UAc, Portugal (2016): Underwater fish visual census in the Azores from 1997 to 2015., more
|
|
