Plankton indicators and ocean observing systems: support to the marine ecosystem state assessment

Ecological indicators are used extensively as tools to manage environmental resources. In the oceans, indicators of plankton can be measured using a variety of observing systems including: mooring stations, ships, autonomous floats and ocean colour remote sensing. Given the broad range of temporal and spatial sampling resolutions of these different observing systems, as well as discrepancies in measurements obtained from different sensors, the estimation and interpretation of plankton indicators can present significant challenges. To provide support to the assessment of the state of the marine ecosystem, we propose a suite of plankton indicators and subsequently classify them in an ecological framework that characterizes key attributes of the ecosystem. We present two case studies dealing with plankton indicators of biomass, size structure and phenology, estimated using the most spatially extensive and longest in situ and remote-sensing observations. Discussion of these studies illustrates how some of the challenges in estimating and interpreting plankton indicators may be addressed by using for example relative measurement thresholds, interpolation procedures and delineation of biogeochemical provinces. We demonstrate that one of the benefits attained, when analyzing a suite of plankton indicators classified in an ecological framework, is the elucidation of non-trivial changes in composition, structure and functioning of the marine ecosystem.

[1]  M. Hisschemöller,et al.  Ecological Indicators: between the two fires of science and policy , 2007 .

[2]  G. Zibordi,et al.  Optically based technique for producing merged spectra of water-leaving radiances from ocean color remote sensing. , 2007, Applied optics.

[3]  R. Bidigare,et al.  Is there a decline in marine phytoplankton? , 2011, Nature.

[4]  G. Hays,et al.  Climate change and marine plankton. , 2005, Trends in ecology & evolution.

[5]  D. Mackas.  Does blending of chlorophyll data bias temporal trend? , 2011, Nature.

[6]  R. O'Neill,et al.  The value of the world's ecosystem services and natural capital , 1997, Nature.

[7]  M. Edwards,et al.  Phytoplankton biomass from continuous plankton recorder data: an assessment of the phytoplankton colour index , 2003 .

[8]  Marcel R. Wernand,et al.  Trends in Ocean Colour and Chlorophyll Concentration from 1889 to 2000, Worldwide , 2013, PloS one.

[9]  Martin Edwards,et al.  Multi-decadal oceanic ecological datasets and their application in marine policy and management. , 2010, Trends in ecology & evolution.

[10]  H. Claustre,et al.  Vertical distribution of phytoplankton communities in open ocean: An assessment based on surface chlorophyll , 2006 .

[11]  F. D’Ortenzio,et al.  Climate-Driven Basin-Scale Decadal Oscillations of Oceanic Phytoplankton , 2009, Science.

[12]  P. J. Werdell,et al.  A multi-sensor approach for the on-orbit validation of ocean color satellite data products , 2006 .

[13]  Jean-Marc Fromentin,et al.  Ecosystem oceanography for global change in fisheries. , 2008, Trends in ecology & evolution.

[14]  David W. Sims,et al.  Using continuous plankton recorder data , 2006 .

[15]  Cochrane Sabine,et al.  Scientific Support to the European Commission on the Marine Strategy Framework Directive - Management Group Report , 2010 .

[16]  D. A. Siegel,et al.  The North Atlantic Spring Phytoplankton Bloom and Sverdrup's Critical Depth Hypothesis , 2002, Science.

[17]  T. Platt,et al.  Ecological indicators for the pelagic zone of the ocean from remote sensing , 2008 .

[18]  Corinne Le Quéré,et al.  Rapid climatic driven shifts of diatoms at high latitudes , 2013 .

[19]  Robert E. Bowen,et al.  Socio-economic indicators and integrated coastal management , 2003 .

[20]  W. Sutherland,et al.  The need for evidence-based conservation. , 2004, Trends in ecology & evolution.

[21]  J. Rice,et al.  A framework for selecting a suite of indicators for fisheries management , 2005 .

[22]  Nicolas Hoepffner,et al.  Overview of eutrophication indicators to assess environmental status within the European Marine Strategy Framework Directive , 2011 .

[23]  P. C. Reid,et al.  Extending the SeaWiFS chlorophyll data set back 50 years in the northeast Atlantic , 2005 .

[24]  Patrick M. Holligan,et al.  Phytoplankton pigments and functional types in the Atlantic Ocean: A decadal assessment, 1995–2005 , 2009 .

[25]  P. Testor,et al.  Enhancing the comprehension of mixed layer depth control on the Mediterranean phytoplankton phenology , 2013 .

[26]  Watson W. Gregg,et al.  Decadal changes in global ocean chlorophyll , 2002 .

[27]  Paul Pajak.  Sustainability, Ecosystem Management, and Indicators: Thinking Globally and Acting Locally in the 21st Century , 2000 .

[28]  P. C. Reid,et al.  Reorganization of North Atlantic Marine Copepod Biodiversity and Climate , 2002, Science.

[29]  H. Bouman,et al.  Operational estimation of primary production at large geographical scales , 2008 .

[30]  P. Monteiro,et al.  Southern Ocean Seasonal Cycle Experiment 2012 : seasonal scale climate and carbon cycle links , 2012 .

[31]  Daniel R. Brumbaugh,et al.  An index to assess the health and benefits of the global ocean , 2012, Nature.

[32]  P. C. Reid,et al.  A 60-year ocean colour data set from the continuous plankton recorder , 2013 .

[33]  P. Holligan,et al.  The Atlantic Meridional Transect (AMT) Programme: A contextual view 1995–2005 , 2006 .

[34]  S. Sathyendranath,et al.  A three-component model of phytoplankton size class for the Atlantic Ocean , 2010 .

[35]  Scott C. Doney,et al.  Detection of anthropogenic climate change in satellite records of ocean chlorophyll and productivity , 2010 .

[36]  T. Clutton‐Brock,et al.  Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments , 2010 .

[37]  David M. Fratantoni,et al.  UNDERWATER GLIDERS FOR OCEAN RESEARCH , 2004 .

[38]  Virginia H. Dale,et al.  Challenges in the development and use of ecological indicators , 2001 .

[39]  노재훈,et al.  현미경, Flow Cytometer, HPLC 색소자료 및 원격탐사를 이용한 이어도 관측기지 주변수의 식물플랑크톤 연구 , 2005 .

[40]  M. Edwards,et al.  Impact of climate change on marine pelagic phenology and trophic mismatch , 2004, Nature.

[41]  A. J. Bale,et al.  The Atlantic Meridional Transect: overview and synthesis of data , 2000 .

[42]  Rodney M. Forster,et al.  Framework for understanding marine ecosystem health , 2013 .

[43]  R. Evans,et al.  Bridging ocean color observations of the 1980s and 2000s in search of long-term trends , 2005 .

[44]  A. McMichael,et al.  Assessing ecosystem health. , 1998, Trends in ecology & evolution.

[45]  W. J. Jenkins,et al.  Modeling Methods for Marine Science , 2011 .

[46]  Corinne Le Quéré,et al.  Phytoplankton phenology in the global ocean , 2012 .

[47]  A. Longhurst.  Ecological Geography of the Sea , 1998 .

[48]  Nicholas R. Bates,et al.  Building the Long-Term Picture: The U.S. JGOFS Time-Series Programs , 2001 .

[49]  Stephen Dovers,et al.  Sustainability indicators, policy and governance: Issues for ecological economics , 2006 .

[50]  M. Edwards,et al.  Marine Ecosystem Response to the Atlantic Multidecadal Oscillation , 2013, PloS one.

[51]  Xiaoping Zhou,et al.  Marine ecology: Spring algal bloom and larval fish survival , 2003, Nature.

[52]  Rudolf de Groot,et al.  A conceptual framework for selecting environmental indicator sets , 2008 .

[53]  B. Worm,et al.  Global phytoplankton decline over the past century , 2010, Nature.

[54]  Gerald J. Niemi,et al.  Application of Ecological Indicators , 2004 .

[55]  Timothy S. Moore,et al.  A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product , 2009 .

[56]  John P. Dunne,et al.  A measured look at ocean chlorophyll trends , 2011, Nature.

[57]  T. Platt,et al.  Basin-Scale Coherence in Phenology of Shrimps and Phytoplankton in the North Atlantic Ocean , 2009, Science.

[58]  Bernard E. Stewart,et al.  Bio-Optical Sensors on Argo Floats , 2011 .

[59]  Jianyi Lin,et al.  Using a network framework to quantitatively select ecological indicators , 2009 .