marine component of icmicm.landcareresearch.co.nz/knowledgebase/publications/...ap1 ap2 ap3 ap4 ap5...
TRANSCRIPT
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IntroductionPaul Gillespie ‐ Cawthron
Goal of the marine component:
To develop a “river plume ecosystem” (RPE) basis for evaluating and managing catchment‐sea linkages
In order to:Facilitate coastal stakeholder input to catchment management as a
step towards Integrated Coastal Management
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Are river plumes important?
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Major areas of investigation
• Nelson Bays Hydrodynamic Model ‐ plume dynamics
• Synoptic surveys of temperature, salinity, nutrients, chl a, suspended sediments, contaminants.
• Mass transport of nutrients (N, P, Si) from the catchment into Tasman Bay.
• Mapping of intertidal and subtidal habitats created and nourished by the river outflow.
• Spatial patterns of seabed characteristics generated by the river plume .
• Suspended sediments in near‐bottom waters.
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Water column: variable in size & shape and moves around
1500 km2
Chl a
How big is the plume?
173.0 173.1 173.2
41.1
41.0
40.9
40.9
40.8AP1 AP2 AP3 AP4 AP5 AP6 AP7
CP1CP2 CP3 CP4 CP5 CP6 CP7
EP2EP3 EP4 EP5 EP6 EP7
GP2GP3 GP4 GP5 GP6 GP7
IP2 IP3 IP4 IP5 IP6 IP7
JP2
KP2 KP3 KP4 KP5 KP6 KP7
LP1 LP2 LP3
MP1MP2 MP3 MP4 MP5 MP6 MP7
NP1NP2 NP3
OP2 OP3 OP4 OP5 OP6 OP7
PP2 PP3
QP2 QP3 QP4 QP5 QP6 QP7
SP2SP3 SP4 SP5 SP6 SP7
Seawater samplingBuoy-mounted sensors
Model predictions
Satellite images
~300-400 km2 after a moderate rainfall event
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The Nutrient StoryPaul Gillespie, Lincoln MacKenzie, Richard Nottage, Kim Clark, Reid Forrest - Cawthron
02468
1 01 21 41 61 82 0
1 5 2 0 2 5 3 0 3 5
S a l in i ty (p su )
NO3-
-N (m
mol
m-3
)
A
0 . 0
0 . 2
0 . 4
0 . 6
0 . 8
1 . 0
1 . 2
1 . 4
1 5 2 0 2 5 3 0 3 5
S a l in i ty (p su )
DRP
(mm
ol m
-3)
B
02 04 06 08 0
1 0 01 2 01 4 01 6 01 8 0
1 5 2 0 2 5 3 0 3 5
S a l in i ty (p su )
DR
Si m
mol
m-3
C
Highest dissolved nutrient concentrations associatedwith low salinities
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173 173.1 173.2
9-10 May 2001
41.15
41.05
40.95
40.85
40.75
173 173.1 173.2
9-10 May 2001
41.15
41.05
40.95
40.85
40.75DRSi Chl a
Plume-affected phytoplankton production
Periodic development of east to west gradients of nutrients and chl a dictated by river flow and water column density stratification.
173.00 173.10 173.20
9-10 May 2001
41.15
41.05
40.95
40.85 Surface Salinity
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Woodstock
Woodmans BendTasman Bay
Water Quality Monitoring Sites
Flow : concentration relationships used to estimate nutrient loadings to Tasman Bay.
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Nutrient Loading to Tasman Bay (tonnes/yr)
2005 2006 2007 2008 2009
0
100
200
300
400
Tonn
es p
er y
ear
0
10
20
30
40
Tonn
es p
er y
ear
8000
9000
10000
11000
12000
13000
Tonn
es p
er y
ear
DRSi
DRPTP
TNNitrateAmmonium
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Nitrogen loading (tonnes/month)TNNO3NH4
0
40
80
1202009
Jan
Feb
Mar
Apr
May Jun
Jul
Aug
Sep Oct
Nov
Dec
0
40
80
120
2008
Jan
Feb
Mar
Apr
May Jun
Jul
Aug
Sep
Oct
Nov
Dec
0
40
80
120
2007
Jan
Feb
Mar
Apr
May Jun
Jul
Aug
Sep Oct
Nov
Dec
Jan
Feb
Mar
Apr
May Jun
Jul
Aug
Sep Oct
Nov
Dec
0
40
80
120
2005
0
40
80
120
2006
Jan
Feb
Mar
Apr
May Jun
Jul
Aug
Sep Oct
Nov
Dec
J F M A M J J A S O N D
J F M A M J J A S O N D
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Good or bad for Tasman Bay?
• Motueka TN discharge (average 2005-2009) = ~283 t
• Total freshwater TN discharge (including point source discharges) = ~900 t/ year
• N loss via denitrification = ~1800 t/year
• N Inputs ~50% of assimilation capacity
• Problems associated with eutrophication unlikely
• Nutrients probably having beneficial effects on productivity
• But there still could be some effect on HAB incidence???
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Delineation of the depositional footprint of the river plume
Deanna Clement, Reid Forrest, Chris Cornelisen, Barrie Forrest,
Paul Gillespie – CawthronBarrie Peake – University of Otago
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Multiple indicators reveal river plume influence in a New Zealand coastal embayment
Barrie Forrest, Paul Gillespie, Chris Cornelisen-Cawthron, Karyne Rogers-GNS
Pilot study
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Various indicators (chemical, geological, biological) were used to delineatethe spatial extent of river plume influence
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Copper
Chromium
Nickel
Natural catchment source of elevated sediment trace metals
Unexpected result: Contaminated levels of Ni & Cr in plume sediments
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Benthic characteristics considered for delineation of catchment influences
• Trace metal concentrations (Al, Ba, Cr, Cu, Ni, Pb, Sr, V, Cd)
• Organic content (ash free dry weight)
• Grain size - % gravel, sand, silt/clay
• Infauna abundance & diversity
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KEY SEDIMENT INDICATORS OF RIVER PLUME INFLUENCE
!
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±
0 5 102.5Kilometres
Depth Contours10.0020.0030.00
Trace Metal Concentrations x 21
2
345
678
910
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±
0 5 102.5Kilometres
Depth Contours10.0020.00
30.00Organic matter and Lead
12
3
45678
910
!
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!!
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!!
!! !
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!
!
±
0 5 102.5Kilometres
Depth Contours10.0020.0030.00
Species Diversity1
2
3
4
5
6
7
8
9
10
Trace metals Organic matter & lead
Infauna diversity (SW)
Shell debris (considered non plume-related)
Shell debris (considered non plume-related)
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180 km2 river plume depositional
area
based on
composites of multiple benthic
indicators
±
0 5 102.5Kilometres
Depth Contours10.0020.0030.00AMAsSediment Plume Extent
Aquaculture management areas
Tasman Bay
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Suspended sediment effects on shellfish
Paul Gillespie - Cawthron
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Fish & shellfish resources/activities potentially influenced by the river plume
• Enhanced scallop fishery
• Dredge oyster fishery
• Trawl fishery (flounder and sole)
• Recreational fisheries
• Mussel farming
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70,000-800,000 tonnes (mean~370,000)
Annual Suspended Sediment Contributions to Tasman Bay
Loading data provided by Les Basher - Landcare
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Motueka R. SS Plume - the day after a moderate flood event
SS mobilisation and export from nearby estuaries - strong winds during spring high tides, no rain
Frequent SS plumes occur in Tasman Bay under a variety of weather conditions.
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Sediment Mobilisation
Cumulative impacts?
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SS Effects on Benthic Suspension Feeders
• SS inhibition of scallop feeding
o Near‐bottom (50 mm above the seabed) SS concentrations of 11‐25 g/m3 (89‐96% inorganic)were seen to interrupt the feeding activity of scallops on the seabed
o Scallops in baskets 0.5 or 1.0 m above the seabed continued feeding normally
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Potential effects on shellfish resources in Tasman Bay
•Chronic condition of high near-bottom turbidity
Physical disturbance due to dredging & trawling
Deposition/ Resuspension
• Scallop catches (tonnes)• No harvests 2005/06 ‐
present
Interference of scallop feeding
0
100
200
300
400
500
600
89/90 91/92 93/94 95/96 97/98 99/00 01/02 03/04
?
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Tracking faecal contaminants in the Motueka River plume
Chris Cornelisen
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173.00 173.10 173.20
41.15
41.05
40.95
40.85
•Sedimentation•Contaminants (faecal, nutrients,metals, hydrocarbons, etc)
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Turbidity
Bacteria
River flows
0100
200300
400
500
Flow
(cum
ecs)
0
100
200
300
NTU
0
2000
4000
6000
8000
28-Apr 29-Apr 30-Apr 01-May
MPN
/100
ml
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Bad weather
0
10
20
22-Apr 23-Apr 24-Apr 25-Apr 26-Apr 27-Apr 28-Apr 29-Apr 30-Apr 01-May 02-May 03-May 04-May 05-May 06-May 07-May
Win
d sp
eed
(m s
-1)
0
10
20
30
40
Rai
nfal
l (m
m)
Wind speedRainfall
High riverDischarge
River flow (Woodmans bend)
0
200
400
600
22-Apr 23-Apr 24-Apr 25-Apr 26-Apr 27-Apr 28-Apr 29-Apr 30-Apr 01-May 02-May 03-May 04-May 05-May 06-May 07-May
m3 s
-1
Increase in turbidity coincidingwith winds
05
1015202530
22-Apr 23-Apr 24-Apr 25-Apr 26-Apr 27-Apr 28-Apr 29-Apr 30-Apr 01-May 02-May 03-May 04-May 05-May 06-May 07-May
Turb
idity
(NTU
)
-5-3-11357
Am
plitu
de (m
)
Turbidity (3 km)Turbidity (6 km)Tide
Mixing andpersistence of shallow low salinity plume
30
32
34
36
22-Apr 23-Apr 24-Apr 25-Apr 26-Apr 27-Apr 28-Apr 29-Apr 30-Apr 01-May 02-May 03-May 04-May 05-May 06-May 07-May
Salin
ity (p
su)
12
14
16
18
Tem
p (C
)
Salinity (3 km) Salinity (6 km)Temperature (3 km) Temperature (6 km)
Shading by thin surface layer of fine sediment
0300600900
12001500
22-Apr 23-Apr 24-Apr 25-Apr 26-Apr 27-Apr 28-Apr 29-Apr 30-Apr 01-May 02-May 03-May 04-May 05-May 06-May 07-May
PAR
um
ol m
-2 s
-1
Incoming3 m depth
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Sal
inity
at
Dep
th, m
29-Apr-2009 23:36:21
0
5
1025
30
35
Tem
pera
ture
at
Dep
th, m
0
5
1015
16
17
Ligh
t at
Dep
th, m
0
5
101
10
100
1000
ty a
t m
0
54
Tem
pera
ture
at
Dep
th, m
0
5
1015
16
17
Ligh
t at
Dep
th, m
0
5
101
10
100
1000
Turb
idity
at
Dep
th, m
0
5
100
2
4
Distance from river mouth, km
Chl
orop
hyll
atD
epth
, m
1 2 3 4 5 6
0
5
100
2
4
CTD and water quality survey – 30 Apr 2009
Mussel results here
0
50
100
150
1 2 3 4 5 6Distance from river mouth (km)
MPN
/100
ml E. coli
Enterococci
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Mussel results hereE.coli
0
500
1000
1500
1.5 km 2 km 6 km (AMA)
MPN
/100
g 30-Apr07-May
Enterococci
0
500
1000
1500
2000
2500
1.5 km 2 km 6 km (AMA)
MPN
/100
g
Ruminant Bacteroides (Bac128)1 to 2 km 6 km
(AMA) + ‐
Human Bacteroides (Bac183)HumanMethanobrevibacterHuman Polyomavirus (HPyV)
3 human markers not detected
Humans0.2%
Poultry1.3%
Horse0.5%
Deer(farm)0.7% Possum
0.6%
Cattle80.9%
Sheep15.4%
Pig0.4%
NZ’s PPP: Potential poo production (not including “wildlife”)
Where’s it coming from?Microbial Source Tracking
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Continuing efforts
Real-time monitoring
•Telemetry-data accessibility•Real-time Environmental Sample Processing (ESP)
Molecular tools
•MST tools for water quality monitoring•MST tools for ensuring shellfish quality•Quantitative PCR•DNA probe arrays
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Acknowledgements
NIWA: Rob Davies-Colley, Rob Merrilees, Murray Hicks
Cawthron: Paul Gillespie, Marek Kirs, Roger Young, Reid Forrest, Paul Barter, Aaron Quarterman, Eric Goodwin, Ben Knight, Ron Fyfe, Mark Englefield
Valerie (Jodie) Harwood, University of South Florida