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Stream Nutrient Processing: Spiraling, Removal and Lotic Eutrophication Stream Nutrient Processing: Spiraling, Removal and Lotic Eutrophication

Stream Nutrient Processing: Spiraling, Removal and Lotic Eutrophication - PowerPoint Presentation

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Stream Nutrient Processing: Spiraling, Removal and Lotic Eutrophication - PPT Presentation

Ecohydrology Fall 2017 Nutrient Cycles Global recycling of elemental requirements Major elements C H N O P S Micro nutrients Ca Fe Co B Mg Mn Cu K Z Na These planetary element cycles are ID: 757081

nutrient uptake springs length uptake nutrient length springs algae nutrients spiraling flow flux nitrate biomass distance limitation water algal

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Slide1

Stream Nutrient Processing: Spiraling, Removal and Lotic Eutrophication

Ecohydrology

Fall

2017Slide2

Nutrient Cycles

Global recycling of elemental requirements

Major elements (C, H, N, O, P, S)

Micro nutrients (

Ca

, Fe, Co, B, Mg,

Mn

, Cu, K, Z, Na,…)

These planetary element cycles are:

Exert massive control on ecological organization

In turn are controlled in their rate, mode, timing and location by ecological process

Are highly coupled to the planets water cycle

In many cases, are being dramatically altered by human enterprise

Ergo…

ecohydrologySlide3

Global Ratios of Supply and Demand – Aquatic EcosystemsSlide4

Inducing Eutrophication

Leibig’s

Law of the Minimum

Some element (

or

light

or water) limits primary production (GPP)Adding that thing will increase yields to a point; effects saturate when something else limitsWhat limits productivity in forests? Crops? Lakes? Pelagic ocean?

Justus von Liebig

(GPP)Slide5

Phosphorus Cycle

Global phosphorus cycle does not include

the atmosphere (no gaseous phase).

Largest quantities found in mineral deposits and marine sediments.

Much

in

forms not directly available to plants.

Slowly released in terrestrial and aquatic ecosystems via

weathering (and, not slowly, by mining).Numerous abiotic interactionsSorption, co-precipitation in many minerals (apatite), solubility that is redox sensitiveSlide6

Phosphorus Cycle

http://arnica.csustan.edu/carosella/Biol4050W03/figures/phosphorus_cycle.htmSlide7

Nitrogen Cycle

Includes major atmospheric pool - N

2

.

N fixers use

atmospheric supply directly

(prokaryotes

).Energy-demanding process; reduces to N

2 to ammonia (NH3). Industrial N2

- fixation for fertilizers exceeds biological N fixation annually. (We do it with Haber-Bosch)Denitrifying

bacteria release N2 in anaerobic respiration (they “breathe” nitrate).Decomposer and consumers release waste N in form of urea or ammonia.Ammonia is nitrified by bacteria to nitrate.Basically no abiotic interactions (though recent evidence of rock sources in Rocky Mountain forests)Slide8
Slide9

Global Nitrogen Enrichment

Humans have massively amplified global N cycle

Terrestrial Inputs

1890: ~ 150

Tg

N yr

-1

2005: ~ 290+

Tg N yr-1River Outputs1890: ~ 30

Tg N yr-12005: ~ 60+ Tg N yr

-1N frequently limits terrestrial and aquatic primary productionEutrophication

Gruber and Galloway 2008Slide10

Watershed N Losses

Applied N loads >> River Exports

Slope = 0.25

Losses to

assimilation

(storage) and

denitrification

Variable in time and space

Variable with river order and geometryCan be saturated

Boyer et al. 2006

Van

Breeman

et al. 2002Slide11

Rivers are not chutes(Rivers are the chutes down which slide the ruin

of continents. L. Leopold)

Internal processes dramatically attenuate load

Assimilation to create particulate N

Denitrification

– a permanent sink

Understanding the internal processing is important

Local effects of enrichment (i.e., eutrophication)

Downstream protection (i.e., autopurification)Understanding nutrient processing (across scales) is a major prioritySlide12

Nutrient Cycling in Streams

Advection it commanding organization process in streams and rivers –

FLOW MATTERS

Nutrients

in streams are subject to downstream transport.

Nutrient

cycling

does not happen in one place

.Flow turns nutrient cycles in SPIRALSSpiraling Length is the length of a stream required for a nutrient atom to complete a cycle (mineral – organic – mineral).Uptake (assimilation + other removal processes)

RemineralizationSlide13

Nutrient Spiraling in StreamsSlide14

2) Cycling in open

ecosystems

[

creates spirals]

Longitudinal Distance

Inorganic

forms

Organic

forms

1) Cycling in

closed

systems

Advective flow

Nutrient Cycling vs. SpiralingSlide15

Distance

Time

Uptake

length

(

S

w

)

Turnover

length

(

S

o

)

+

Spiral

length (S)

=

Inorganic

forms

Organic

forms

Components of a SpiralSlide16

From : Newbold (1992)

Nutrient SpiralingSlide17

Uptake Length

The mean distance traveled by a nutrient atom (mineral form) before removal

Flux

F = C * u * D

F = Flux [M L

-1

T

-1], C = Conc. [M L-3

], u = velocity [L T-1], D = depth [L]Uptake ratesUsually assumed

1st order (exponential decline)Constant mass loss FRACTION per unit distanceSlide18

Constant Fractional Loss

Basis for exponential decline

dF

/dx = -

k

L

* F

k = the longitudinal uptake rate (L

-1

)Integrating yields F at location x as a function of uptake rate, distance (x) and initial upstream concentration F0:Slide19

1/k =

S

w

Longitudinal distance

Tracer abundance

Field data

Best-fit regression line using:

F

x

= F

0

e

-kx

where:

F

x

= tracer flux at distance x

F

0

= tracer flux at x=0

x = distance from tracer addition

k = longitudinal loss rate (fraction m

-1

)

1/k =

S

w

Uptake Length (

S

w

)Slide20

Turnover Lenth (SB

)

Distance that a nutrient atom travels in organic (biotic form) before being

remineralized

to the water column

Hard to measure directly

R

egeneration flux (M L-2

T-1] is:R = kB

* XB where kB

is regeneration rate [T-1] and XB is the organic nutrient standing stock (M L-2] XB includes components in the sediments – XS which stay put - and the water column - XB which move.The turnover length is the velocity of organic nutrient transport (vB) divided by the regeneration rate.

Transport velocity depends on the allocation to sediment and water column pools (

v

B

= u * X

S

/X

B

)Slide21

Time

Longitudinal distance

Advective flow

Uptake length (

S

w

)

Turnover length (

S

o

)

Spiral Length in Headwater Streams

(dominated by uptake length)Slide22

Open Controversy

Headwater systems have short uptake lengths

Direct (1

st

) contact with mineral nutrients

Shallow depths

Alexander et al. (2000), Peterson et al. (2001)

Large rivers have much longer uptake lengths (therefore no net N removal)Wollheim et al. (2006)

Uptake length doesn’t measure removal, it measures spiral lengthUptake rates per unit area may be more informative when the question is “where does nutrient removal occur within river networks”Most of the benthic area and most of the residence time in river networks is in LARGE riversSlide23

Linking Uptake Length to Associated Metrics

Uptake velocity (

v

f

; rate at which solutes move towards the benthos; measure of uptake

efficiency

relative to supply) [L T

-1]v

f = u * d / Sw = u * d *

kLUptake rate (U; measure of flux per unit area from water column to the benthos) [M L-2

T-1]U = vf * CSlide24

Solute

Spiraling

Metric

Triad

Spiraling Metric TriadSlide25

Uptake Kinetics – Michaelis-Menton

Uptake of nutrients (among MANY other processes) in ecosystems is widely modeled using saturation kinetics

At low availability, high rates of change

Saturation at high availabilitySlide26

Nutrient availability

U

U

max

C

C + K

m

U =

Linear

Transitional

Saturated

U

max

C + K

m

v

f

=

v

f

S

w

vd

U

max

S

w

=

C

vd K

m

U

max

+

M-M Kinetics for U

provides predictions for

S

w

and

V

f

profilesSlide27

How Do We Measure Uptake Length?

Add nutrients

Since nutrients are

spiraling

(i.e., no longitudinal change in concentration), we need to

disequilibrate

the system to see the spiraling curve

Adding nutrients changes availabilityChanges in availability affects uptake kinetics

Ergo – adding nutrients (changing the concentration) changes the thing we’re trying to measureSlide28

Mulholland et

al. (2002)

Enrichment Affects KineticsSlide29

Alternative Approach

Add isotope tracer (

15

N)

Isotope are forms of the same atom (same atomic number) with different atomic mass (different number of neutrons)

Two isotopes of N,

14

N (99.63%) and 15N (0.37%)We can change the isotope ratio (15N : 14N) a LOT without changing the N concentrationTrace the downstream progression of the 15

N enrichment to discern processes and ratesSlide30

‰ Notation

The “per mil”

or

“‰” or “

δ

” notation

R is the isotope ratio (

15

N:

14

N)

Reference standard (

R

std

) for N is the atmosphere (by definition, 0‰)

More

15

N (i.e., heavier) is a higher

δ

valueSlide31

light

heavy

0

+

-

-10

+30

Natural Abundances of IsotopesSlide32

Accounting for Isotope Fractionation

Many processes select for the lighter isotope

Fractionation (

ε

) measures the degree of selectivity against the heavier isotope

N fixation creates N that is lighter than the standard (

ε

Fix =

δN2 – δNO3 = 1 to 3‰)

N uptake by plants is variable, but generally weak (εA = δNO3

– δON = 1 to 3‰)Nitrification is strongly fractionating (εNitr = δNH4 – δNO3 = 12 to 29‰)Denitrification is also strongly fractionating (

ε

Den

=

δ

NO3

δ

N2

=

5 to 40‰)

Note that where denitrification happens, it yields nitrate that “looks” like its from organic waste and septic tanksSlide33

So – How to Uptake Length (Addition vs. Isotope) Compare?Slide34

Not So Good

Our two methods give dissimilar information

Isotopes are impractical for large rivers

Large rivers are important to network removal

But…if we’re interested in the entire kinetic curve, then this may be a GOOD thing

Enter TASCC and N-saturation methodsSlide35

What Happens to Uptake Length as we Add Nutrients

Sequential steady state additions

(Earl et al. 2006)Slide36

Back-Extrapolating From Nutrient Additions

Multiple additions (

Payn

et al. 2005) result in a curve from which ambient (background) uptake rate can be inferredSlide37

Laborious but Fruitful(back extrapolation to negative ambient)Slide38

Lazy People Make Science Better

Use a single pulse co-injection to get at multiple concentrations in one experiment (

Covino

et al. 2010)Slide39

Method Outline

Add tracers in known ratio

Measure the change in ratio with concentration; the ratio at each time yields an uptake length (

S

w

) which can be indexed to concentration

U can be obtained from

Sw

from the triad diagram (U = u*d*C/Sw = Q*C/w*S

w)Fit to Michaelis-Menten kinetics and back extrapolate to ambientSlide40

DataSlide41

Stream Biota and Spiraling Length

Several studies have shown that

aquatic invertebrates

can significantly

increase

N

cycling.

Suggested rapid recycling of N by

macroinvertebrates may increase primary production.Excreted and recycled 15-70% of nitrogen pool as ammonia.Stream ecosystem organization creates short spirals for scarce elementsIn a “pure” limitation, uptake length goes to zero and all downstream transport occurs via

organic particlesCONCENTRATION GOES TO ZERO @ LIMITATIONAny biota that accelerate remineralization (e.g., shorten turnover length) amplify productivityInvertebrates accelerate remineralizationSlide42

19_16.jpgSlide43

Invertebrates and Spiraling LengthSlide44

Eutrophication

Def

:

Excess C fixation

Primary production is stimulated. Can be a

good

thing (e.g., more fish)

Can induce changes in dominant primary producers (e.g., algae vs. rooted plants)Can alter dissolved oxygen dynamics (nighttime lows)Fish and invertebrate impactsChanges in color, clarity, aromaSlide45

Typical Symptoms: Alleviation of Nutrient Limitation

(GPP)

Phosphorus limitation in shallow temperate lakes

Nitrogen limitation in estuarine systems

V. Smith, L&O 2006

V. Smith, L&O 1982Slide46

Local Nitrogen Enrichment

The Floridan Aquifer (our primary water source) is:

Vulnerable

to nitrate contamination

Locally

enriched

as much as 30,000% over background (~ 50-100 ppb as N)

Springs are sentinels of aquifer pollutionFlorida has world’s highest density of 1st magnitude springs (> 100 cfs)

Arthur et al. 2006Slide47

Weeki

Wachee

2001

1950’s

Mission Springs

Chassowitzka

(T. Frazer)

Weeki

Wachee

Mill Pond SpringSlide48

In Lab Studies:Nitrate Stimulates Algal

Growth

In laboratory studies, nitrate increased biomass and growth rate of the

cyanobacterium

Lyngbya

wollei.

Cowell

and Dawes 2004

Stevenson et al. 2007Slide49

Hnull

: N loading alleviated GPP limitation, algae exploded

(conventional wisdom)

Evidence generally runs

counter

to this hypothesis

Springs were

light limited even at low concentrations (Odum 1957)Algal cover/AFDM is uncorrelated with [NO3]

(Stevenson et al. 2004)Flowing water mesocosms show algal growth saturation at ~ 110 ppb (Albertin et al. 2007)Nuisance algae exists principally near the spring vents

, high nitrate persists downstream (Stevenson et al. 2004)Slide50

Field Measurements:

Nitrate vs

. Algae

in Springs

From Stevenson et al. 2004

Ecological condition of algae and nutrients in Florida Springs

DEP Contract #WM858

Fall 2002 (closed circles)

Spring

2003 (open triangles)

No useful correlation

between algae

and nitrate concentrationSlide51

Alexander Springs

(50

ppb N-NO3)

Visualizing the Problem

Silver Springs (1,400

ppb N-NO3)Slide52

Synthesis of Ecosystem Productivity:

Nitrate vs. Metabolism in Springs

Data Sources:

- WSI (2010)

- WSI (2007)

- WSI (2004)

- Cohen et al. (2013)Slide53

Slight Digression - Nutrient Contamination Broadly in Florida

Source: USEPA (

http://iaspub.epa.gov/waters10/state_rept.control?p_state=FL&p_cycle=2002

) Slide54

Recent Developments – Numeric Nutrient Criteria

Nov 14

th

2010 – EPA signed into law new rules about nutrient pollution in Florida

Nutrients will be regulated using fixed numeric thresholds rather than

narrative criteria

Became effective September 2013

Result of lawsuit against EPA by Earthjustice arguing that existing rules were under-protectiveWhy?Slide55

Stressor – Response for Streams

No association found between indices of ecological condition and nutrient levels

Elected to use a reference standard where the 90

th

percentile of

unimpacted

streams is the criteriaSlide56

Eutrophication in Flowing Waters?

Why no clear biological effect of enrichment in lotic systems?

What is ecosystem N

demand

?

How does this compare with

supply

(flux)?What does this say about limitation? Is concentration a good metric of response in lotic systems?

In lakes/estuaries, diffusion matters.In streams, advection continually resupplies nutrients.Slide57

Qualitative Insight: Comparing Assimilatory Demand vs. Load

Primary Production is very high

8-20 g O

2

/m

2

/d (ca. 1,500 g C/m

2/yr)N demand is basically proportional

0.05 – 0.15 g N/m2/dayN flux (over 5,000 m reach) is largeNow: ca. 30 g N/m2/d (240 x Ua)

Before: ca. 2.5 g N/m2/d (20 x Ua)This assumes no remineralization (!)

In rivers, the salient measure of availability may be flux (not concentration)Because of light limitation, this is best indexed to demandWhen does flux:demand become critical?Slide58

Metrics of Nutrient Limitation

Concentration

Ignores the fact that flux/turbulence reduces local depletion, and that light conditions affect demand

Flux-to-demand (Q*C/

U

a

) (

unitless)Requires arbitrary reach length to estimate demandAutotrophic uptake length (Sw,a) (length units)Consistent with nutrient spiraling theory (Newbold

et al. 1982)Ratio of flux to width-adjusted benthic uptakeSlide59

Autotrophic Uptake Length

Mean length (downstream) a molecule of mineral nutrient travels before

a plant uses it

Not

dissimilatory

use, which typically dominates

Shorter lengths imply greater limitation

For N: Sw,a,NFor P: Sw,a,PSlide60

Predicting GPP Response

Nutrient Limitation Assay (NLA)

Relative response (RR) of N

enrichment:control

Regressed vs. Concentration and

S

w,a,N

NLA Response Data from Tank and

Dodds

(2003); Analysis by Sean KingSlide61

Estimating U

a

from Diel Nitrate Variation

(Ichetucknee River, 5 km downstream of headspring)

Submersible UV Nitrate Analyzer (SUNA)

YSI

MultiprobeSlide62

Autotrophic Assimilation

[NO

3

-

]

[

NO

3

-

]

min

[NO

3

-]

max

Assumptions: No autotrophic

assimilation at

[NO

3

-]

max

Other processes constant (unknown)

Other N species constant (validated)

Diel Method for Estimating Autotrophic N Demand

Heffernan and Cohen 2010Slide63

Ua

Estimates Yield Reasonable C:N Stoichiometry at the Ecosystem Scale

NPP =

U

a

* 25.4

R2 = 0.67, p < 0.001

C:N Ratios

Vascular Plants ~ 25:1Benthic Algae ~ 12:1Net Primary Production (NPP) (mol C/m2

/d)N Assimilation (Ua) (mol N/m2/d)Slide64

Inducing N Limitation in Spring Runs

[some

were

, many springs

were not

N limited at

0.05 mg/l

]Slide65

Autotrophic Uptake Length GloballySlide66

Summary

Spiraling the dominant paradigm for nutrient dynamics in flowing water

Stream ecological self-organization creates short spirals for scarce elements

Measuring spiraling (esp. in larger rivers) can leverage new methods (diel, TASCC)

Lotic eutrophication is different than other aquatic ecosystems, and requires a spiraling basisSlide67

So – Why All the Algae?Slide68

Back to First Principles:

Controls on Algal Biomass

bottom up effects

top

down effects

Algae Biomass

Grazers

Flow Rates

Dissolved Oxygen

Nutrients

Light

mediating factorsSlide69

What else has changed? – Water Chemistry.

Despite

relative

constancy, variability in springs flow and water quality can be

large

and

ecologically

relevant

The changes are poorly understood because of a) uncertain flowpaths, and b) uncertain residence timesThe changes are understudied because of the plausibility of the N loading story

Data from Scott et al. 2004Slide70

What else has changed? Flow.

Changes in flow occur in response to climate drivers and human appropriation

Kissingen Springs

Weber and Perry 2006

Munch et al. 2007Slide71

Field Measurements:Algal Cover Responds to Flow

Flow has widely declined

Silver Springs

White Springs

Kissingen

Spring

Reduced flow is correlated with higher algal cover (

King 2012)Slide72

Flow and DO Affect GrazersSlide73

Observational Support: Grazer Control Algal Biomass Accrual

Liebowitz

et al.

(

in review)

A)

B)

C)

Gastropod biomass (g m

-2

)

Algae biomass (g m

-2

)

y = 2350x

-1.592

R² = 0.38

p < 0.001

 

Note: Multivariate Model of Algal Cover explained 53% of variation, with gastropod density as a dominant predictor along with shading and flow velocity. Nutrients were pooled (no significant effect).Slide74

Evidence of Alternative States?

Below 20 g m

-2

– always high algae

Above 20 g m

-2

- both high a low algae

Mechanism?

Residual algae biomass

Proportional Frequency

Gastropod biomass < 20 g m

-2

Gastropod biomass > 20 g m

-2

0.00 0.05 0.10 0.15 0.20 0.25

0.00

0.05 0.10 0.15 0.20

0.25

-6 -4 -2 0 2 4 6

-6 -4 -2 0 2 4 6

Residual algae biomass

A)

B)Slide75

Qualitative Confirmation: Gastropods Control Algal BiomassSlide76

Quantitative ConfirmationSlide77

Further Evidence of Alternative States

Experiment 1

– Low Initial Algae: Intermediate density of snails able to control algal accumulation.

Experiment 2

– High Initial Algae: No density of snails capable of controlling accumulation.

Shape of hysteresis is site dependent.Slide78

Alternative Mechanisms?

Declines in animal populations that control algae [top-down effects]

Mullet excluded (90+% loss) from Silver Springs with construction of Rodman dam

~2 orders of magnitude increase in snail density with distance downstream in Ichetucknee

Changes in flow (direct and indirect effects)

Significant declines regionally (

Kissingen

Springs)Changes in human disturbanceRecreational burden is 25,000 visitors/mo

at Wekiva Springs

Heffernan et al.

(2010)Slide79

Controls on Grazers

Dissolved oxygen is an important control

Multivariate model explained 60% of grazer variation with DO, pH, shading, SAV and salinity

Dissolved Oxygen (mg L

-1

)

A)

C)

B)

Gastropod biomass (g m

-2

)Slide80

DO Management Thresholds?Slide81

Experimental Manipulation of DOSlide82

Short Term DO Effects (2-day pulses of hypoxia)

DO dramatically controls snail grazing ratesSlide83

Behavioral and Mortality ResponsesSlide84

Complex Ecological Controls?

Heffernan et al.

(2010)Slide85

Why is Grazing SO Important in Springs

General theory on what controls primary producer community structure (Grimes 1977)

Nutrient stress (S)

Disturbance (R)

Competition (C)

In springs, nutrients are abundant, disturbances are absent, so competion controls dynamics

Grazing is a dominant control on competition