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OALib Journal期刊
ISSN: 2333-9721
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-  2019 

Spatial patterns in sub‐Arctic benthos: multiscale analysis reveals structural differences between community components

DOI: https://doi.org/10.1002/ecm.1325

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Abstract:

An important goal for ecosystem‐based management is to protect marine habitats and their associated fauna. Understanding the spatial structure and interrelationships of benthic communities and their underlying environmental drivers, therefore, is of great importance. The benthic community off the sub‐Arctic Lofoten‐Vester?len islands was studied on multiple spatial scales, using the MEM (Moran's eigenvector maps) framework to identify spatial structure in broadscale (hundreds of kilometers), mesoscale (20 km), and fine‐scale (1.5 km) epifaunal and infaunal communities. A combination of eigenvector‐based multivariate analyses and variation partitioning on multiple sets of explanatory variables was used to identify characteristic species and environmental drivers that have a high importance in structuring the communities. Community structure of both epifauna and infauna strongly reflected the boundary of warm Atlantic (>0.5°C) and cold Arctic water masses (<0.5°C), which coincides approximately with the 800‐m isobath in this region. Apart from this dominant broadscale determinant, epifauna and infauna displayed different spatial patterns and drivers. Both components differ significantly across local marine landscapes; however, this characterization is not sufficient for infauna, where additional sediment characteristics play an important role in structuring the community across all spatial scales. Within marine landscapes (mesoscale), epifauna displays a spatial structure that, for the most part, could not be attributed to any of the included environmental drivers. The case of the Lofoten‐Vester?len region demonstrated that the used analysis is a valuable tool in spatial planning, as it allows for comparison of the relative importance of individual environmental drivers for the studied faunal components, without losing the information about spatial patterns associated with individual drivers. Marine systems provide a variety of services to humans, including the production of food, carbon sequestration, or the generation of tourism income (Palumbi et al. 2009, de Groot et al. 2012). These services have been degrading globally due to anthropogenic pressures and safeguarding marine ecosystems, and their services for future generations is one of marine ecosystem management's greatest challenges (Costanza et al. 2014). This has been widely acknowledged by political decision makers and ecosystem‐based management, and spatial planning has become the central paradigm of marine legislation (European Commission 2000, Douvere 2008, Buhl‐Mortensen et al. 2017).

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