Bi-decadal variability in physico-biogeochemical characteristics of temperate coastal ecosystems: from large-scale to local drivers
|Author(s)||Lheureux Arnaud1, Savoye Nicolas1, Del Amo Yolanda1, Goberville Eric2, Bozec Yann3, Breton Elsa4, Conan Pascal5, L'Helguen Stephane6, Mousseau Laure7, Raimbault Patrick8, Rimelin-Maury Peggy9, Seuront Laurent4, Vuillemin Renaud10, Caparros Jocelyne5, Cariou Thierry11, Cordier Marie-Ange1, 12, Corre Anne-Marie7, Costes Laurence1, Crispi Olivier5, Crouvoisier Muriel4, de Latour Hortense De Lary7, Derriennic Herve12, Devesa Jeremy6, Durozier Maia7, Ferreira Sophie13, Garcia Nicole8, Grossteffan Emilie9, Gueux Aurore5, Lafont Michel8, Lagadec Veronique8, Lecuyer Eric4, Leroux Cedric11, Mace Eric3, Maria Eric10, Mornet Line1, Nowaczyk Antoine1, Parra Michel1, Petit Franck7, David Valérie1|
|Affiliation(s)||1 : Univ Bordeaux, Stn Marine Arcachon, CNRS, UMR 5805,EPOC, F-33120 Arcachon, France.
2 : Univ Antilles, Univ Caen Normandie, Sorbonne Univ,CNRS,IRD, Unite Biol Organismes & Ecosyst Aquat BOREA,Museu, F-75231 Paris 05, France.
3 : UPMC Univ Paris 06, Sorbonne Univ, CNRS, UMR 7144,AD2M,Stn Biol Roscoff, F-29680 Roscoff, France.
4 : Univ Littoral Cote dOpale, Univ Lille, CNRS, UMR 8187,LOG, F-62930 Wimereux, France.
5 : UPMC Univ Paris 06, Sorbonne Univ, CNRS, UMR7621,LOMIC,Observ Oceanol, F-66650 Banyuls Sur Mer, France.
6 : Univ Bretagne Occidentale, IUEM, IFREMER, CNRS,IRD,UMR 6539,LEMAR, Rue Dumont dUrville, F-29280 Plouzane, France.
7 : UPMC Univ Paris 06, Observ Oceanol, CNRS, UMR 7093,LOV,Sorbonne Univ, F-06230 Villefranche Sur Mer, France.
8 : Univ Toulon & Var, Aix Marseille Univ, INSU, CNRS,IRD,UM 110,MIO, 163 Ave Luminy, F-13288 Marseille, France.
9 : Univ Bretagne Occidentale, OSU UMS 3113, IUEM, Rue Dumont dUrville, F-29280 Plouzane, France.
10 : UPMC Univ Paris 06, Observ Oceanol Banyuls Sur Mer, FR3724, Sorbonne Univ,CNRS, Ave Pierre Fabre, F-66650 Banyuls Sur Mer, France.
11 : UPMC Univ Paris 06, Stn Biol Roscoff, FR2424, CNRS,Sorbonne Univ, F-29680 Roscoff, France.
12 : Univ Bordeaux, CNRS, UMR 5805, EPOC, Allee Geoffroy St Hilaire, F-33600 Pessac, France.
13 : Univ Bordeaux, OASU, CNRS, UMS 2567,POREA, Allee Geoffroy St Hilaire, F-33600 Pessac, France.
|Source||Marine Ecology Progress Series (0171-8630) (Inter-research), 2021-02 , Vol. 660 , P. 19-35|
|WOS© Times Cited||4|
|Keyword(s)||Long-term changes, Coastal ecosystems, Biogeochemistry, Climate change, Multivariate analysis, Monitoring programme|
Coastal marine ecosystems, which play a crucial role in the biogeochemical and ecological functioning of the Earth, are highly sensitive to the combined effects of climate and human activities. Because of their location, coastal ecosystems are directly influenced by human activities, but it remains challenging to assess the spatial and temporal scales at which climate influences coastal ecosystems. We monitored 12 sampling stations, distributed in 8 ecosystems in France, over 2 decades for physico-biogeochemical parameters (temperature, salinity, concentrations of dissolved oxygen, nutrients and particulate material). The study encompasses a large diversity of temperate coastal ecosystems with respect to e.g. geomorphology, trophic status, tidal regime, river influence and turbidity. Time-series analysis coupled with standardised 3-mode principal component analyses, partial triadic analyses and correlations were used to assess bi-decadal variability and ecosystem trajectories, and to identify large-scale, regional and local drivers. Our results highlighted 2 abrupt changes in 2001 and 2005. The bi-decadal changes were related to changes in large-scale and regional climate, detected through proxies of temperature and atmospheric circulation, as well as through river discharge. Ecosystem trajectories tended to move towards an increase in temperature and salinity, and/or a decrease in chlorophyll a, nutrients and particulate matter. However, the magnitude of change, the year-to-year variability and the sensitivity to the 2001 and 2005 changes varied among the ecosystems. This study highlights the need for establishing long-term time series and combining data sets as well as undertaking multi-ecosystem and local studies to better understand the long-term variability of coastal ecosystems and its associated drivers.