Data from: Data-driven bioregionalization: A seascape-scale study of macrobenthic communities in the Eurasian Arctic ...

• Main Authors: Pantiukhin, Dmitrii, Piepenburg, Dieter, Hansen, Miriam L. S., Kraan, Casper
• Format: Dataset
• Language: English
• Published: Dryad 2021
• Subjects: FOS Biological sciences; distribution modelling; ecological projections; Eurasian Arctic seas; macrobenthic communities; Region of Common Profile RCP approach; seascape-scale bioregionalization; Arctic; Climate change; laptev; Sea ice
• Online Access: https://dx.doi.org/10.5061/dryad.8pk0p2nn9; https://datadryad.org/stash/dataset/doi:10.5061/dryad.8pk0p2nn9

Aim: We conduct the first model-based assessment of the biogeographical subdivision of Eurasian Arctic seas to (1) delineate spatial distribution and boundaries of macrobenthic communities on a seascape level; (2) assess the significance of environmental drivers of macrobenthic community structures; (3) compare our modelling results to historical biogeographical classifications; and (4) couple the model to climate-change scenarios of environmental changes to project potential shifts in the distribution and composition of macrobenthic communities by 2100. Location: Eurasian Arctic seas, in particular Barents, Kara, and Laptev Seas Taxon: Macrobenthic fauna Methods: We employed the Region of Common Profile (RCP) approach to assess the regionalization patterns of Eurasian Arctic seafloor communities. Results: Four RCPs were identified based on the spatial distribution patterns of 169 macrobenthic species and a set of environmental factors, such as sediment composition, sea-ice concentration, depth of the ... : We employed the Region of Common Profile (RCP) approach to assess the regionalization patterns of Eurasian Arctic seafloor communities. The entire data analysis was conducted in R using package 'RCPmod'. ...