Defining Mediterranean and Black Sea biogeochemical Subprovinces and Synthetic ocean indicators using mesoscale oceanographic features

The Mediterranean and Black Seas are semi-enclosed basins characterized by high environmental variability and growing anthropogenic pressure, which has led to increasing need for a bioregionalization of the oceanic environment at local and regional scales that can be used as a geographical reference with managerial applications. We aim to develop synthetic indices of the key oceanographic dynamics of each region to quantify baselines from which to assess variability and change. To do this, we compile a data set of 101 months (2002-2010) of a variety of both “classical” (i.e., sea surface temperature, surface chlorophyll a, and bathymetry) and “mesoscale” (i.e., eddy kinetic energy, finite-size Lyapunov exponents, and surface frontal gradients) ocean features that we use to characterize the surface ocean variability. We employ a k-means clustering algorithm to objectively define biogeochemical regions based on classical features, and for the first time, on mesoscale features and a combination of both classical and mesoscale features. Principal components analysis is then performed on the oceanographic variables to define integrative indices to monitor at monthly resolutions the environmental changes within each resultant region. Using both the classical and mesoscale features, we find five biogeochemical regions for the Mediterranean and Black Seas. Interestingly, the use of mesoscale variables contributes highly in the delineation of the open ocean. The first axis of the principal component analysis is explained primarily by classical ocean features and the second axis is explained by mesoscale features. Biogeochemical regions identified by the present study can be useful within the European management framework as an objective geographical framework of the Mediterranean and Black Seas, and the integrative environmental indices developed here can be used to monitor variability and long-term change.

NIEBLAS Anne-Elise;  REYGONDEAU Gabriel;  DRUSHKA Kyla;  DEMARCQ Herve;  ROSSI Vincent;  DUBROCA Laurent;  BONHOMMEAU Sylvain; 

2015-01-27

PUBLIC LIBRARY SCIENCE

JRC92092

1932-6203,   

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0111251,    https://publications.jrc.ec.europa.eu/repository/handle/JRC92092,   

10.1371/journal.pone.0111251,