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Using telemetry to identify causes of low steelhead smolt survivial
through Puget Sound
Megan Moore
Barry Berejikian
Manchester Laboratory, NOAA Fisheries
NWFSC
2
Problem = marine survival in Puget Sound
0
5000
10000
15000
20000
25000
1980 1985 1990 1995 2000 2005 2010 2015
Skagit
Green
Puyallup
Nisqually
Queets
Quinault
Hoh
Quillayute
Mar
ine
surv
ival
Puget Sound populations Washington Coast populations
Puget Sound steelhead listed as threatened in 2007
Previous Puget Sound Telemetry Studies
Hood Canal Rivers: 2006-2010
Moore, Berejikian, et al. (NWFSC)
Green River: 2006-2009
Fred Goetz, Tom Quinn et al (UW, ACOE)
Puyallup River: 2006, 2008-2009
Andrew Berger et al. (Puyallup Tribe)
Nisqually River: 2006-2009
Sayre Hodgson et al. (Nisqually Tribe)
Skagit River: 2006-2009
Ed Conner et al. (Seattle City Light)
Nisqually (W
)
Puyallup (W
)
Puyallup (H
)
Green (W)
Green (H)
Skagit (
W)
Skagit (
H)
Surv
ival P
robabili
ty (
%)
0
20
40
60
80
100
Skoko
mish (W)
Skoko
mish (H)
Dewatto (W
)
Hamma (H)
Duckabush (H
)
Big Beef C
reek (W
)0
20
40
60
80
100
Surv
ival P
robabili
ty (
%)
A
B
Puget Sound
Hood Canal
• Low marine
survival rates
• Hatchery fish
generally had
lower survival
• Smolts with
longer migrations
fared worse
river
marine
Moore et al. 2015
10/24/2016 5
2014 Telemetry efforts began with the following objectives:
• Separate freshwater effects (habitat conditions and hatchery influence)
from marine effects on marine survival
• Identify areas of low survival (‘hot spots’)
• Investigate effects of body size and outmigration timing
Salish Sea Marine Survival Project
Treatment vs. control
Green River Watershed Nisqually River Watershed
• Lower watershed 75% industrial/residential • Lower watershed 5% industrial/residential
• Degraded riparian zone (lower river 95%
armored)
• Healthy riparian zone
• 2% of historic estuary/mudflats remains • Largest undeveloped delta in Puget Sound
• Steelhead hatchery since 1964 • No steelhead released since 1994
Green River Watershed Nisqually River Watershed
Commercial/residential Federal conservation land State trust forest land
Undeveloped State conservation land Agricultural use
Reciprocal Transplant Experiment
Smolts collected at Nisqually R. and Green R. smolt traps
Surgically implanted with Vemco V7 acoustic transmitters
Held overnight in flow-through tanks at trap/tagging location
Released at RKM 19 the following morning at either home or away location
GREEN POPULATION NISQUALLY POPULATION
Away Home Away Home TOTAL
50 53 50 50 203
Photos by Matt Klungle
Survival Analysis mark-recapture (Program MARK)
Nisqually River
Green River
RELEASE
NAR
CPS
ADM
JDF
RELEASE
Survival Analysis - results
PR-R
M
RM
-CPS/N
AR
NAR-C
PS
CPS-A
DM
ADM
-JDF
Gre
en R
RM
-JDF
Nisqu
ally
R R
M-J
DF
Surv
iva
l Pro
ba
bili
ty (
%)
0
20
40
60
80
100
Green and Nisqually
Green River only
Nisqually River only
Overall RM-JDF
survival rates
Extra
segment
17%
6%
Steelhead smolt travel time
CPS
NAR
ADMJDF
11
Predator-prey interactionsIdentifying potentially important predators on steelhead smolts
Criteria:
1. Spatial and temporal overlap
2. Known to eat steelhead
3. Known to eat similarly sized salmon or other fish
4. Increasing or stable abundance
Harbor seal (Phoca vitulina)
Jeffries et al. 2003
Seal tagging
12 Instrument packs deployed
4/3/2014 – 4/28/2014
11 Instrument packs recovered
July - September
N = 7
N= 5
Objectives
• Quantify “encounters” between steelhead smolts
and harbor seals (i.e., tags detected on seal-mounted
receivers)
• River-of-origin
• Timing of interactions
• Locations
• Investigate evidence for predation:
• Direct evidence = recurring continuous pings on seal-
mounted receivers
• Indirect evidence = stationary tags associated with
seal locations
Number of steelhead detected by harbor seals
Nisqually River release Green River release
Seal tagging
location
Nisqually
population
(n = 93)
Green
population
(n = 50)
Nisqually
population
(n = 50)
Green
population
(n = 53) Total
Central
Puget Sound
(n = 4) 16 13 5 3 37
Admiralty
Inlet (n = 7) 2 0 3 2 7
• An estimated 225 tagged steelhead entered Puget Sound
• A total of 44 steelhead tags were detected by 11 seal-mounted hydrophones
Fate Number
recorded
Haulout 9
Survivor 14
Stationary non-haulout 6
Unknown location 15
TOTAL encounters 44
Orca network sightings - 2015
January 2015December 2014
(Relevant) ORCA FACTS
• Resident Orcas eat
salmon
• Transient Orcas eat
marine mammals
• Transient orcas rarely
come into Puget Sound
• 2015 anomalous behavior
brought them into the
sound for 3 months in the
winter and 3 months in the
spring
Sep-2014 Nov-2014 Jan-2015 Mar-2015 May-2015 Jul-2015 Sep-2015
Da
ys w
ith
Orc
a s
igh
tin
gs in
So
uth
Pu
ge
t S
ou
nd
0
5
10
15
20
25
2006 2008 2010 2012 2014 2016
Ste
elh
ea
d e
arly m
arin
e s
urv
iva
l (R
M-J
DF
)
0
5
10
15
20
25
Nu
mb
er
of
da
ys w
ith
tra
nsie
nt
Orc
a s
igh
tin
gs
0
10
20
30
40
50
60
70
17
smolt
migration
window
no survival estimates
Tough Questions/Management Implications
• First of all, we have to get a handle on the actual predation rate of
harbor seals on steelhead
- seal and steelhead tagging in 2016
- mobile tracking
- scat analysis
• If predation rate is substantial (what is substantial?) what actions can
we take? Both species are protected:
- steelhead (“threatened” under Endangered Species Act)
- harbor seals (protected under Marine Mammal Protection Act)
• What role do healthy (resident and transient) Orca populations play?
• What role does Nanophyetus salmincola play?
Acknowledgements
Steelhead Advisory Group to the SSMSP
LLTK: Michael Schmidt, Iris Kemp
WDFW: Steve Jeffries, Josh Oliver, Dyanna Lambourn, Joe Anderson, Pete Topping, Matt Klungle, Chris Frazier,
Bob Green, Matt Pollack, Devin West, Justin Miller, & Lars Swartling
Nisqually Tribe: Chris Ellings, Sayre Hodgson, Jed Moore, Walker Duvall, Tom Friedrich
Muckleshoot Tribe: Ava Fuller, Eric Warner, Sean Hildebrandt
Squaxin Tribe: Scott Steltzner
NWFSC: Anna Kagley, Heather Jackson, Rob Endicott, Jose Reyes- Tomassini, Jeff Atkins
Port of Seattle: George Blomberg, Mick Schultz
UW: Tom Quinn, Fred Goetz FUNDING: WDFW and NOAA NWFSC
20
2015 mobile tracking