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Page 1: Retrospective Analysis of a Multidecadal Ecological
Page 2: Retrospective Analysis of a Multidecadal Ecological

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Retrospective Analysis of a MultidecadalPhytoplankton Time Series in Narragansett Bay: Ecological Threshold Responses to Climate and

Nutrient Stressors

Theodore Smayda and David Borkman

Graduate School of OceanographyUniversity of Rhode Island

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ECOLOGICAL RELEVANCE OF THRESHOLDS INVESTIGATED

• To facilitate understanding of the causes and consequences of climate change on a representative temperate estuary using the climate change indicators, such as temperature, North Atlantic Oscillation Index, Gulf Stream Index

• Quantifying the role of short- and long-term changes in nutrients and their ratios on phytoplankton functional group selection and linked trophic processes

• Establishing importance of external vs. internal ecosystem drivers on plankton processes

ECOSYSTEM SERVICES IMPACTED BY THRESHOLDS• Nutrient Cycling, Water Quality

• Plankton Dynamics, Harmful Algal Blooms, Fisheries

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Schematic Project Overview

Narragansett Bay Plankton Time Series1959-1996

Statistical Analyses Energy Flow Trophic Variability Community Ordination

Identify Change PointsIdentify CyclesIdentify Thresholds

Exergy Analysis Functional Group ShiftsCommunity vs. SpeciesVariability and Change

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Regime Shifts?

This is the longest dataset of its type. Measurements are taken weekly. It is important to remember that many different processes occur on a daily or even hourly basis.

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-1oc

0oc

+1oc

February mean SSTafter Pielou, 1979

Narragansett Bay

Study site:Narragansett Bay

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Narragansett Bay is at a biogeographical junction. The area is particularly vulnerable to climate change.

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Aerial photo of Narragansett Bay(Courtesy of R. L. Wilke)

Narragansett Bay

ca. 328 km2

Mean depth: 8m (~60m maximum)Salinity range: 20-32 Temperature range: -2 to 25 C

Long-term Station

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Figure 1: Location of long-term sampling station (Station II, approximately 41o 30' N, 71o 20' W) in the lower west passage of Narragansett Bay, Rhode Island. Inset: thermal image of Gulf Stream (image date 11 June, 1997; image source: http:// fermi.jhuapl.edu/avhrr/gallery/sst/eddy_97jun11/eddy.html) showing Narragansett Bay (red arrow). Gulf Stream north wall is ca. 400 km south of Narragansett Bay and edge of warm core ring is ca. 230 km south of Narragansett Bay in this image.

The researchers are studying the role of the Gulf Stream Index.

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North Atlantic Oscillation

(NAO)

An index of 500mb (ca. 18,000 feet altitude) height and surface pressure over the North Atlantic.

Positive (warm) phase = low pressure Greenland, high pressure Azores

Negative (cold) phase = high pressure Greenland, low pressure Azores

Image credit: J. D’Aleo

The North Atlantic Oscillation alters the temperature, wind, and amount of snow and/or rain.

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-6

-4

-2

0

2

4

6

1870

1880

1890

1900

1910

1920

1930

1940

1950

1960

1970

1980

1990

2000

1996

Post-1980 positive NAOI period

The period from 1960 to the present has been a period of warming.

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y = 0.028x - 43.84r2 = 0.45

10

11

12

13

1950 1960 1970 1980 1990 2000 2010

Mea

n te

mpe

ratu

re (

o C)

Narragansett Bay

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Narragansett Bay

y = 0.22x + 2.15r2 = 0.28

0

1

2

3

4

5

-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6

Winter NAO Index

Win

ter t

empe

ratu

re (C

)

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y = -18.86x + 41.88R2 = 0.46

0

10

20

30

40

50

60

70

80

-1.5 -1 -0.5 0 0.5 1 1.5

Annual NAO Index

Mea

n C

hlor

ophy

ll (m

g m

-2)

Narragansett Bay

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y = -0.08x + 164.95r2 = 0.24

0

1

2

3

4

5

6

7

8

9

10

11

1970 1980 1990 2000 2010

Chl

orop

hyll

(μg

l-1)

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Skeletonema level declined :

400 cells ml-1 pre-1980

90 cells ml-1 1980-96

Updated:111 cells ml-1 1997-2005

10

100

1000

1950 1960 1970 1980 1990 2000 2010Year

dese

ason

aliz

ed S

kele

tone

ma

cost

atum

(cel

ls m

l-1)

The early 1980s appear to be a change point.

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0

1000

2000

3000

4000

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6000

7000

8000

0 10 20 30 40 500

2000

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0 10 20 30 40 50

0

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0 10 20 30 40 500

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6000

7000

0 10 20 30 40 50

Week Week

Mea

n Sk

elet

onem

a co

stat

um(c

ells

ml-1

)

1960s 1970s

1990s1980s

In the 1960s, Narragansett Bay had a classic biological ocean environment, with a winter-spring bloom. In the 1970s, the winter-spring bloom disappeared; instead, the Bay had a summer bloom. An attempt to resurrect the winter-spring bloom appears in the 1980s. In the 1990s, blooming occurred across the seasons.

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Narragansett Bay Skeletonema bloom timing, magnitude and duration - NAOI effects

Bloom response (-) NAO Years (+) NAO Years p value

Annual maximum week 13 30 0.046

W-s bloom duration (weeks) 9 4 0.025

Maximum w-s abundance (cells ml-1) 24,967 1,713 0.009

1Q mean abundance (cells ml-1) 5,536 399 0.016

2Q mean abundance (cells ml-1) 2,578 166 0.009

% weeks >500 cells ml-1 0.43 0.23 0.028

(cold) (warm)

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230 km

400 km

Gulf Stream influences on Narragansett Bay.

-Direct-Transport

fishgelatinous zooplmacrophytes phytoplankton

-Indirect-Temperature-Salinity-Weather

Image date:11 June, 1997

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-300

-250

-200

-150

-100

-50

0

50

1950 1960 1970 1980 1990 2000

SST

cum

ulat

ive

devi

atio

n

-2.5-2-1.5-1-0.500.511.522.5

Gul

f Str

eam

Inde

x

r = 0.74

SST = Sea Surface Temperature

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-1.5

-1

-0.5

0

0.5

1

1.5

1950 1960 1970 1980 1990 2000

Gul

f Stre

am In

dex

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

3Q S

kele

tone

ma

abu

ndan

ce (c

ells

ml-1

)

Gulf Stream IndexSkeletonema

r = - 0.61

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w-s = winter-spring, s-f = summer fall bloom

Skeletonema bloom features during different Gulf Stream Index (GSI) states (1966-1996) as tested by Mann-Whitney test. GSI <0 corresponds to southerly displacement of Gulf Stream path; GSI >0 to

northward displacement. Significant differences at p < 0.10 shown.

Gulf Stream Position differences: GSI (-) GSI (+) Bloom Character Mean (n) Mean (n) p-value Extreme (+) vs. (-) Gulf Stream years, i.e. most extreme North and South positions3Q mean (cells ml-1) 5,120 (5) 1,563 (5) 0.0283S-f bloom peak (cells ml-1) 33,500(5) 14,480 (5) 0.0758% weeks <10 cells ml-1) 0.15 (5) 0.41 (5) 0.0749

Gulf Stream < -1 vs. > +1 W-s bloom peak (cells ml-1) 5,090 (5) 534 (3) 0.0253% weeks <10 cells ml-1) 0.15 (5) 0.48 (3) 0.0512 Gulf Stream < -0.5 vs. > +0.5 S-f bloom start (week) 28.0 (10) 31.6 (8) 0.07313Q mean (cells ml-1) 4,376 (9) 1,313 (8) 0.0161S-f peak (cells ml-1) 24,754 (10) 10,664 (8) 0.0410% weeks <10 cells ml-1) 0.20 (10) 0.36 (8) 0.0683 Gulf Stream < -0.1 vs. > +0.1 % weeks <10 cells ml-1) 0.19 (13) 0.36 (10) 0.0233 Gulf Stream < 0 vs. > 0 % weeks <10 cells ml-1) 0.20 (14) 0.33 (11) 0.0747

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Skeletonema bloom thresholds

• NAO< - 0.7 winter-spring bloom> - 0.7 summer bloom

• Winter (1Q) temperature< + 2oC winter-spring bloom> + 2oC summer bloom

• Winter (1Q) wind speed> 5 m s-1 winter-spring bloom< 5 m s-1 summer bloom

• Gulf Stream< - 0.5 (= south) large summer

bloom> + 0.5 (= north) small summer

bloom

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Internal Driver

The red dots represent urbanized areas.

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0

2,000

4,000

6,000

8,000

10,000

1 5 9 13 17 21 25 29 33 37 41 45 49Week number

1960s2000s

Diatoms (cells ml-1) Narragansett Bay

The impact nutrients may have on changes in abundance is a concern.

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1955 1965 1975 1985 19950

1

2

3

4

5

6Mean Annual Diatom : Flagellate RatioMean Annual Diatom : Flagellate Ratio

YearYear

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0

0.1

0.2

0.3

0.4

1955 1965 1975 1985 19950

1

2

3

4

5

6

Year

Si :

N R

atio

Diatom

: Flagellate Ratio

r2 = 0.46, p<0.0005

This graph shows the silicon-to-nitrogen ratio and the diatom-to-flagellate ratio.

Diatoms require silicon for metabolism and growth. Flagellates do not require silicon. The researchers hypothesize that the change in the silicon-to-nitrogen ratio over time initially will favor abundance and growth in diatoms.

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0

1

2

3

4

5

6

5 10 15 20 25 30 35Si : P ratio

Dia

tom

: Fl

agel

late

ratio

y = 0.228x - 1.192r2 = 0.75(all data)D

iato

m :

Flag

ella

te R

atio

Station II, Narragansett Bay

This graph shows the silicone-to-phosphorus ratio and the diatom-to-flagellate ratio.

As the silicon-to-phosphorus ratio increases, diatoms become more predominant. The green area represents a potential threshold.

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SURPRISING RESULTS; “LESSONS LEARNED”

• Occurrence of rhythmic behavior

• Subtle external and internal driver effects– External: NAO; Gulf Stream position– Internal: Nutrients and their ratios

• Nutrient ratio effects were detected

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MANAGEMENT APPLICATION OF THRESHOLD RESULTS

• External drivers: difficult to manage, but have forecast potential

• Internal drivers (e.g., nutrients): more manageable; “resource” can be regulated

• Uncertain how external and other internal drivers might modify the “resource mitigation”

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SPIN-OFF BENEFITS OF THIS RESEARCH

• Assisting Rhode Island Sea Grant in developing a Narragansett Bay Ecosystem-based Management Strategy

• Collaborating with fisheries biologists in evaluating linkages between parallel long-term changes in fish stocks and plankton in Narragansett Bay

• Chapter on Nutrient and Plankton Gradients prepared for book "Ecosystem-based Management : A Case Study of Narragansett Bay" to be published in Springer Series On Environmental Management

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A question for future study is, “Is it possible that external drivers set the boundaries and internal drivers work within that system?”

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Discussion

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A participant asked if fisheries biologists have biomass data. Dr. Smaydaresponded that they do not. They are using a numerical metric, not a size metric.

Another participant commented on the shift of the bloom time in the early 1980s. When this occurred, it appeared that the number of species also decreased.

Another participant pointed out that the long-term data collected could be used to identify metrics and, ultimately, potential thresholds. Dr. Smayda agreed. He added that changes in temperature may be connected to recycling. The difficulty lies in determining when a parameter is a surrogate and when it is a mechanism.

One participant commented that the peaks for diatoms have changed over time and asked if the curve had changed annually in terms of productivity of the diatoms under the different temperature regimes. Dr. Smayda responded that he did not know if this was the case for diatoms as a whole. There was, however, one species that was important previously, but no longer is important. The calculations suggest that its disappearance represented a loss of 15 to 20 percent of the production during the winter. For the rest, the annual production appears to be relatively stable.