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Bryan A. Black Hatfield Marine Science Center Oregon State University Newport, Oregon Rockfish, tree rings, and climate-driven linkages between marine and terrestrial ecosystems
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Temporal and spatial variability of growth Tree rings most familiar example -effects of competition -effects of site factors, pollutants -effects of climate -reconstructions (thousands of yrs.!) VERY VERSATILE Importance of Increments
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Many organisms form annual increments -mollusks, corals, sponges, dinosaurs Dendrochronology applied to other organisms and… FISH In fish, growth increments formed in: -vertebrae, various bones -fin rays -scales -otoliths
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Resolving otolith increments cut here
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Growth increment formation - opaque zone: fast growth, low protein - translucent zone: slow growth, high protein Otoliths 1939: year of birth 1989: year of capture direction of growth
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Candidate for dendrochronology techniques? -no resorption problems -some fish can get old! ex. 100 yr old yelloweye rockfish -increments appear to be annual Should be long enough time series if increments are clear Dendrochronology applied to other organisms
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The physical environment affects otolith ring width -induces synchronous growth patterns -”bar codes” should match among otoliths -if not: error likely Method of accurately dating each growth increment Dendrochronology (tree-ring analysis): crossdating Required: Synchronous Growth
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Matching growth “bar codes” Required: Synchronous Growth Tree 1 Tree 2 Tree 3 Trees cored in year 2000 2000 1995 1990 1985 1980 most recent increment (formed in 2000) to tree center
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Photo credit: H.D. Grissino-Mayer, The Ultimate Tree-Ring Web Pages Crossdating in Trees 1837narrowyear 1806narrowyear 1816wideyear1830wideyear direction of growth direction of growth bark
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That works for trees, but will it apply to fish??? Crossdating in Fish 1983
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Sebastes diploproa, splitnose rockfish Photo credit:Lifted from M. Love’s webpage Target Species: Splitnose Rockfish 15 clear splitnose otoliths collected in 1989 NMFS survey variety of ages (31 to 64 yrs) thin sectioned
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Axis of measurement
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Signature Year Example 1983 El Nino
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1905 1994 19941930
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Measurements of splitnose rockfish Synchronous Growth 1936 195819701983
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Statistically, how do we prove it? -correlate all otoliths with one another -low correlation = potential errors but we only want the climate signal must remove effects of: -age, vigor, artifacts of preparation isolate climate signal via DETRENDING Crossdating
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Detrending 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 1930194019501960197019801990 year ring width (mm)
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Detrending ring width measurements, splines detrended, mean = 1
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all splitnose residual chronologies N = 15 Detrending
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Correlate each otolith with sample-wide averages Crossdating
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Step 1: select the first otolith time series Crossdating selected series
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Step 2: average remaining (14) samples Crossdating selected series remaining 14 series
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Step 3: correlate single series with average of others Crossdating average of remaining 14 series r = 0.62 p < 0.001 selected series
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If we overlooked 1983 (combined 1984 and 1983) Crossdating average of remaining 14 series r = -0.11 selected series with error
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Step 4: repeat for each of the series Crossdating selected series r = 0.58
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Step 4: repeat for each of the series Crossdating selected series r = 0.64
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Step 4: repeat for each of the series Crossdating selected series r = 0.45
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Crossdating sample 1 r = 0.62 sample 2 r = 0.58 sample 3 r = 0.64 sample 4 r = 0.45 sample 5 r = 0.49 sample 6 r = 0.64 sample 7 r = 0.44 sample 8 r = 0.60 sample 9 r = 0.72 sample 10 r = 0.61 sample 11 r = 0.71 sample 12 r = 0.61 sample 13 r = 0.21 sample 14 r = 0.17 sample 15 r = 0.43 average r = 0.528
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Crossdating sample 1 r = 0.62 sample 2 r = 0.58 sample 3 r = 0.64 sample 4 r = 0.45 sample 5 r = 0.49 sample 6 r = 0.64 sample 7 r = 0.44 sample 8 r = 0.60 sample 9 r = 0.72 sample 10 r = 0.61 sample 11 r = 0.71 sample 12 r = 0.61 sample 13 r = 0.21 potential problems sample 14 r = 0.17 potential problems sample 15 r = 0.43 average r = 0.528
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Step 5: check then remeasure, drop, or keep problematic series context: eastern forests hemlock, maple spruce, beech: ISC = 0.5 – 0.6 Crossdating sample 1 r = 0.62 r = 0.69 sample 2 r = 0.58 r = 0.59 sample 3 r = 0.64 r = 0.66 sample 4 r = 0.45 r = 0.45 sample 5 r = 0.49 r = 0.50 sample 6 r = 0.64 r = 0.62 sample 7 r = 0.44 r = 0.45 sample 8 r = 0.60 r = 0.54 sample 9 r = 0.72 r = 0.72 sample 10 r = 0.61 r = 0.63 sample 11 r = 0.71 r = 0.70 sample 12 r = 0.61 r = 0.61 sample 13 r = 0.21 r = 0.42 sample 14 r = 0.17 r = 0.36 sample 15 r = 0.43 r = 0.43 average r = 0.528 r = 0.545
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Spatial considerations Initial data set included fish from approx. 36-40 degrees latitude I attempted to add more otoliths Twelve out of 20 didn’t work! Why?
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Spatial considerations -0.2 0 0.2 0.4 0.6 0.8 1 343638404244464850 Latitude (degrees) Interseries correlation new otolith original otolith
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Splitnose chronology: 48 otoliths valid: 36 to 40 degrees latitude
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Age Validation 1989: year of capture 1939: year of birth 1983: El Nino 1958: El Nino all growth increments correctly dated ex. 51 year old fish
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Splitnose chronology: 48 otoliths valid: 36 to 40 degrees latitude
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El Niño / La Niña Figure credit: NOAA Climate Prediction Center Departures from normal…. El Niño La Niña
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Pacific Decadal Oscillation Figure credit: Joint Institute for the Study of the Atmosphere and Ocean: U. Washington warm phasecool phase
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Upwelling Upwelling events: deep, cold, nutrient-rich water very productive! Figure credit: D. Reed and Pacific Marine Environmental Lab
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Environmental indices High values = COOL waters Upwelling Index Northern Oscillation Index (El Niño) High values = WARM waters Sea Surface Temperatures Pacific Decadal Oscillation USE MONTHLY AVERAGES
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Effects of environment splitnose master chronology Feb average SST r = -0.60; p < 0.001 ring width index temperature ( C)
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Effects of environment -0.6 -0.4 -0.2 0 0.2 MAY(L) JUN(L) JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP month correlation coefficient Sea surface temperature ** * * * ** p < 0.01 * p < 0.05
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Effects of environment -0.6 -0.4 -0.2 0 0.2 0.4 0.6 MAY(L) JUN(L) JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP month correlation coefficient upwelling index Northern Oscillation Index Pacific Decadal Oscillation sea surface temperature ** * * * * * * * * * * * * * ** p < 0.01 * p < 0.05
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Spatial components of growth–environment relationships? February sea surface temperatures 1950:1994 2 degree x 2 degree cells correlate with splitnose chronology
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Spatial components of growth–environment relationships?
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Otolith and tree ring chronologies comparable Possible sites: tree line in Coast Mountains -strong maritime influence -harsh conditions Noble fir on Marys Peak Terrestrial vs. marine growth patterns
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Noble fir measurements 24 trees 47 radii; crossdating check: ISC of 0.7; all trees significant
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Noble fir chronology noble fir master chronology
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Effects of environment: temperature
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Effects of environment: TERRESTRIAL -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC correlation coefficient temperature precipitation ** * * * * * ** p < 0.01 * p < 0.05
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Effects of environment: MARINE JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC correlation coefficient -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 Sea Surface Temperature Pacific Decadal Oscillation Northern Oscillation Index * * * * ** p < 0.01 * p < 0.05
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Do rockfish and noble fir correlate? The BIG question Not at all! r = 0.05
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NOAA ITRDB tree chronologies throughout OR, WA, CA correlations with rockfish chronology? Other tree ring chronologies
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Rockfish and tree-ring correlations
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Mountain hemlock vs. rockfish
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Mountain hemlock: terrestrial corr. JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 correlation coefficient temperature precipitation ** p < 0.01 * p < 0.05 ** * *
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Mountain hemlock: marine corr. JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 correlation coefficient Sea Surface Temperature Pacific Decadal Oscillation Northern Oscillation Index ** p < 0.01 * p < 0.05 ** * * * * * * * * * *
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correlation coefficient -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 Cascadeshemlock JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC -0.4 -0.2 0 0.2 0.4 splitnoserockfish Sea Surface Temperature Pacific Decadal Oscillation Northern Oscillation Index Correlations compared
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correlation coefficient -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 Cascades JUL(L) AUG(L) SEP(L) OCT(L) NOV(L) DEC(L) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC -0.3 -0.2 -0.1 0 0.1 0.2 Sea Surface Temperature Pacific Decadal Oscillation Northern Oscillation Index MarysPeak -0.4 -0.2 0 0.2 0.4 splitnoserockfish
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Rockfish growth reconstruction: Select tree crns. that -significantly correlate w/ rockfish -extend to 1990 -excellent quality throughout Average tree ring crns together -back to 1880 (20 crns) Simple linear regression Trees as Proxy Data for Rockfish
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Reconstruction to 1880 R 2 = 0.44 0.6 0.8 1 1.2 1.4 18601880190019201940196019802000 year ring width index rockfish chronology reconstruction y = -0.4217*tree_ring + 1.4155
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Reconstruction to 1600 0.8 0.9 1 1.1 1.2 160016501700175018001850190019502000 year ring width index y = -0.37*tree_ring + 1.3683 R 2 = 0.39
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Growth increment data: Not limited to trees! Uses: 1) age validation 2) effects of environment Important for management and ecology! Conclusions
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Future directions: geoduck clams 150 yrs old!
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strong synchronous growth max. ages of 100 yrs. river chronometers Future directions: freshwater mussels
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Ecosystem Linkages forests tree rings rivers mussel rings nearshore clam rings continental shelf fish rings
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Hatfield Marine Science Center Newport, OR Tues. May 30 to Wed. June 7 Dendro Fieldweek 2006 Bryan.Black@oregonstate.edu
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