Abstract

Seamounts are common features of the deep seafloor that are often associated with aggregations of mega-epibenthic fauna, including deep-sea corals and sponges. Globally, many seamounts also host abundant fish stocks, supporting commercial bottom trawl fisheries that impact non-target benthic species through damage and/or removal of these non-target species. However, the effects of bottom trawling on seamount benthic communities, as well as their recovery potential, will vary over the total seamount area because of differences in within seamount habitat and community structure. It is therefore important to understand fine-scale community dynamics, community patch characteristics, and the environmental drivers contributing to these patterns to improve habitat mapping efforts on seamounts and to determine the potential for benthic communities on seamounts to recover from fishing disturbances. Here we analysed the structure and distribution of mega-epibenthic communities on two New Zealand seamounts with different physical environments to determine which environmental variables best correlated with variation in community structure within each seamount. We used the identified environmental variables to predict the distribution of communities beyond the sampled areas, then described the spatial patterns and patch characteristics of the predicted community distributions. We found the environmental variables that best explained variations in community structure differed between the seamounts and at different spatial scales. These differences were reflected in the distribution models: communities on one seamount were predicted to form bands with depth, while on the other seamount communities varied mostly with broadscale aspect and the presence of small pinnacles. The number and size of community patches, inter-patch distances, and patch connectedness were found to differ both within and between seamounts. These types of analyses and results can be used to inform the spatial management of seamount ecosystems.

Highlights

  • Seamounts, here defined as undersea hills or mountains with elevations >100 m (Pitcher et al, 2007), are significant marine habitats estimated to comprise up to 20 percent of the global seafloor (Yesson et al, 2011)

  • More local-scale seamount studies are required to further examine to what extent the same or similar environmental predictors can be applied to different seamounts, as the development of a general suite of environmental predictors could be useful for seamount spatial management in areas that are difficult to extensively survey

  • Our seamount distribution models can be applied to comparable features in the Graveyard and Andes complexes and validated against existing imageryobtained community data to test each model’s predictive power and identify any model limitations

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Summary

Introduction

Here defined as undersea hills or mountains with elevations >100 m (Pitcher et al, 2007), are significant marine habitats estimated to comprise up to 20 percent of the global seafloor (Yesson et al, 2011). These features can host distinct communities with high benthic abundance, biomass, and species richness compared to surrounding habitats, this is not a universal pattern (Rowden et al, 2010). Substrate composition may vary within a single seamount, ranging from fine muddy sediments to steep rocky outcrops (e.g., Auster et al, 2005; Wienberg et al, 2013), and thereby contribute to finescale structural variation of benthic communities on seamounts (Boschen et al, 2015; Du Preez et al, 2016; Victorero et al, 2018; Morgan et al, 2019)

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