Brief description
The Marine chapter of the 2016 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "The state and trends of ecological processes – primary productivity". The full Expert Assessment, including figures and tables (where provided), is attached to this record. Where available, the Data Stream(s) used to generate this Expert Assessment are accessible through the "On-line Resources" section of this record.----------------------------------------
DESCRIPTION OF ECOLOGICAL PROCESS FOR EXPERT ASSESSMENT
Satellite data for ocean colour provides the most comprehensive assessment of phytoplankton biomass (PB) and primary production (PP). The method works very well in oceanic waters but PB and PP can be overestimated in regions where runoff or resuspension affects water colour (near land, especially near large tropical rivers). In general phytoplankton biomass and primary production (PP) are low around Australia. Typically both BP and PP are greatest near the coast tending to decline with distance from shore. Offshore oceanic waters north of ~30°S generally have low rates of PP, < 0.2g C m-3 d-1. From 1997 to 2015 the greatest rates of PP have been found near shore, in the marginal Arafura Sea and southern Tasman Sea.
The biomass and productivity of the oceans is dependent upon the magnitude and timing of nutrient supply. The more tropical oceans of northern Australia tend to be strongly stratified restricting nutrient resupply from depth (Chavez et al. 2011). Australia is one of the driest continents with very low and highly erratic runoff (McMahon, 1982) so nutrient supply from the land is also low.
DATA STREAM(S) USED IN EXPERT ASSESSMENT
Data used in this assessment are computed from the level 3 (L3) daily global products using one merging method. PP was computed from merged monthly L3 products using the algorithms developed by Antoine and Morel (1996). Details can be found at http://www.globcolour.info/products_description.html
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2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• 2016 •
Assessment grade: Good
Assessment trend: Improving
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Adequate high quality evidence and high level of consensus
Comparability: Grade and trend are comparable to the 2011 assessment
• 2011 •
Assessment grade: Very good
Assessment trend: Stable
Confidence grade: Limited evidence or limited consensus
Confidence trend: Limited evidence or limited consensus
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CHANGES SINCE 2011 SOE ASSESSMENT
This assessment uses observations from a range of spatial and temporal scales that allows a much better assessment of current state and trends to be made.
Lineage
Statement: QUALITY OF DATA USED IN THE ASSESSMENTSpatial and temporal coverage are excellent. Conversion of ocean colour to primary production by a model introduces a source of potential error. The magnitude of this error has been assessed (e.g. Carr et al., 2006) but further refinement is possible for Australian waters. The assessment of trends should be quite robust to any model error.
M.E. Carr, M.A.M. Friedrichs, M. Schmeltz, M.N. Aita, D. Antoine, K.R. Arrigo, et al.
A comparison of global estimates of marine primary production from ocean color
Deep-Sea Research Part II-Topical Studies in Oceanography, 53 (2006), pp. 741–770.
Notes
PurposeTo describe the state and trends in primary productivity for use in the Marine chapter of the 2016 State of the Environment report.
Created: 17 06 2016
text: westlimit=102.65625000000001; southlimit=-47.4609375; eastlimit=162.421875; northlimit=-7.207031249999999
Subjects
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Other Information
EXPERT ASSESSMENT - Primary Productivity [direct download] (State_and_trends_primary_productivity_final.pdf)
(DATA STREAM USED IN EXPERT ASSESSMENT - European Service for Ocean Colour [online access point])
uri :
http://www.globcolour.info/index.html
(State of the Environment (SoE) reporting webpage)
Identifiers
- global : cde30695-02bb-411c-9c31-cca7a425a39a