Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
GISERA MarineAn integrated study of the Gladstone marine system
| GISERA Marine - Russ Babcock | 11-12 August 20151
Russ Babcock, Mark Baird, Rich Pillans, Toby Patterson, Bee Morello, Gary Fry, Mick Haywood, Kadija Oubelkheir, Lesley Clementson, Emlyn Jones, Rob Kenyon, Col Limpus, Nugzar Margvelashvili, Mathieu Mongin, Barbara Robson, Thomas Schroeder, Jenny Skerratt, Karen Wild-Allen, Nagur Cherekuru,
GISERA & Development in Port Curtis
• CSG developments are large, but …
• Long History of Port Development, other impacts
• Lessons or insights from Gladstone are relevant to many other areas of coastal Qld.
2 |
GISERA Marine overall goals
3 |
Improve the scientific knowledge base needed to anticipate and mitigate impacts, and to identify opportunities for trade-offs and offsets:• assist agencies in evaluating and refining environmental trigger levels for
water quality parameters and seagrass• examine options for management of the iconic fauna such as turtles • increase the level of confidence around environmental decision making
processes in Port Curtis (and potentially more widely)
Insights from Gladstone are relevant to many other areas of Coastal QLD
GISERA Marine Components
1. Habitat quality – water column properties and seagrass distribution
2. Modelling – Hydrodynamic / Biogeochemical model of Port Curtis; predicting water quality and seagrass growth
3. Turtle behaviour – habitat use and risk modelling
4 |
Water quality and seagrass growth
getting the basics right
Measuring water quality
• Salinity
• Temperature
• Secchi
• TSM
• Particulate & detrital
absorptions
• CDOM
• Pigment analysis
GISERA Marine | Russ Babcock7 |
TSM Secchi Inorganic Fraction CDOM
2012
2013
GISERA Marine | Russ Babcock8 |
Algal pigments
• Biomass of phytoplankton higher in 2012
• Diatoms dominant, green algae also present
• Sites outside the harbour different, dominated by cyanobacteria, picoplankton
2012
2013
Inherent Optical Properties (IOPs) from model state.
Suspended sediment properties: scattering / attenuation observations from an ACS.
Absorption Scattering Attenuation
Wavelength
Surface reflectance estimates
10
Reflectance calculations based on field observations match well with remote sensing algorithms
Measuring seagrass
Model validation• Species• Depth-range
(presence/absence)Turtle habitat use
• Species• Cover• Biomass (wwt/dwt)
Seagrass depth-range sampling 877 seagrass stations at 41 seagrass beds
PBN1 & 5
CI1CI2CI3CI4
CI5
CI6
CH1CH2
PBN4
PBS2
PBS1FInew
FI2
NB1
NB3
NB4
Broad agreement with TropWater results
Critical light levels for seagrass beds
y = -1.8054x + 1.6531R² = 0.5084
-4
-3
-2
-1
0
1
2
0 0.5 1 1.5 2 2.5
Max
. sea
gras
s de
pth
(Ht,
m)
Secchi depth (m)
13% Available PAR4.5 Mol PAR m-2 d-1
4 Mol PAR m-2 d-1 corresponds with cut-off point in GISERA seagrass growth model
High resolution sampling of seagrass distribution
Sampling design Observed Zostera
Thank you