FN Archimer Export Format
PT J
TI Integrated assessment of the spatial distribution and structural dynamics of deep benthic marine communities
BT 
AF Jansen, Jan
   Dunstan, Piers K.
   Hill, Nicole A.
   Koubbi, Philippe
   Melbourne‐Thomas, Jessica
   Causse, Romain
   Johnson, Craig R.
AS 1:1,2;2:3;3:1;4:4,5;5:2,6;6:7;7:1;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 Institute for Marine and Antarctic Studies (IMAS) University of Tasmania Hobart, Australia
   Australian Antarctic Division Kingston, Australia
   CSIRO Oceans and Atmosphere Hobart, Australia
   UFR 918 Terre Environnement Biodiversité. Sorbonne Université. Paris, France
   IFREMER, Channel and North Sea Fisheries Research Unit Boulogne‐sur‐Mer, France
   Antarctic Climate & Ecosystem Cooperative Research Centre (ACE CRC) University of Tasmania Hobart ,Australia
   Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Muséum National d’Histoire Naturelle Sorbonne Université Université de Caen Normandie Université des Antilles CNRS IRD Paris ,France
C2 UNIV TASMANIA, AUSTRALIA
   AUSTRALIAN ANTARCTIC DIV, AUSTRALIA
   CSIRO OCEANS AND ATMOSPHERE, AUSTRALIA
   UNIV SORBONNE, FRANCE
   IFREMER, Channel and North Sea Fisheries Research Unit Boulogne‐sur‐Mer, France
   ACE CRC, AUSTRALIA
   MNHN, FRANCE
IF 4.657
TC 3
UR https://archimer.ifremer.fr/doc/00599/71143/69460.pdf
   https://archimer.ifremer.fr/doc/00599/71143/69461.pdf
LA English
DT Article
DE ;Antarctica;continental shelf;deep sea;ecosystem dynamic;ecosystem structure;qualitative network model;Southern Ocean;spatial model;species archetype model;upper slope
AB Characterising the spatial distribution and variation of species communities and validating these characteristics with data from the field are key elements for an ecosystem‐based approach to management. However, models of species distributions that yield community structure are usually not linked to models of community dynamics, constraining understanding and management of the ecosystem, particularly in data‐poor regions. Here we use a qualitative network model to predict changes in Antarctic benthic community structure between major marine habitats characterised largely by seafloor depth and slope, and use multivariate mixture models of species distributions to validate the community dynamics. Further, we then assess how future increases in primary production associated with anticipated loss of sea‐ice may affect the ecosystem. Our study shows how both spatial and structural features of ecosystems in data‐poor regions can be analysed and possible futures assessed, with direct relevance for ecosystem‐based management. 
PY 2020
PD APR
SO Ecological Applications
SN 1051-0761
PU Wiley
VL 30
IS 3
UT 000510105900001
DI 10.1002/eap.2065
ID 71143
ER

EF