r. jan stevenson michigan state university east lansing, mi 48824
DESCRIPTION
Periphyton Data from National-Scale Assessments Can Inform Nutrient Criteria Development for Southeastern States. R. Jan Stevenson Michigan State University East Lansing, MI 48824. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: R. Jan Stevenson Michigan State University East Lansing, MI 48824](https://reader035.vdocuments.us/reader035/viewer/2022062314/568145ce550346895db2d5cb/html5/thumbnails/1.jpg)
Periphyton Data from National-Scale Assessments Can Inform Nutrient
Criteria Development for Southeastern States
R. Jan StevensonMichigan State University
East Lansing, MI 48824
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Periphyton Data from Region 4 and National-Scale Assessments Can Inform
Nutrient Criteria Development for Southeastern States
R. Jan StevensonMichigan State University
East Lansing, MI 48824
Chris DeckerU.S. Environmental
Protection Agency, Region 4Athens, GA 30605
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Outline• Review “Diatom Responses to Nutrient Conditions in
Region 4 Streams”, a report prepared for USEPA Region 4 by Chris Decker and me.
• Review results from NAWQA-NEET and NRSA periphyton studies that relate to Region 4– NEET: Covariation in pH and NP with Human Disturbance
Gradient confounds assessing nutrient effect– NRSA: Modeled MMIs with tested metrics, species
characterizations for refined metric testing • Next steps
– Further species traits analysis– Website and Database
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Streams sampled in Region 4 during summer 2006 and summer 2007 (SPNBR and SPNR)
N=169
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Wide range of nutrient concentrations should be sufficient to produce biological responses
0.01 0.10 1.00
TP (mg/l)
0.1 1.0 10.0
TN (mg/l)
The 25th percentiles of TP and TN at all sites sampled in Region 4 streams were 0.020 and 0.234 mg/L, respectively
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pH was unusually low in Coastal Plain Streams
3 4 5 6 7 8 9 10
pH
3 4 5 6 7 8 9 10
pH
Region 4
NRSA
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Correlation Between Water Chemistry and Land Use Land Cover Variables
Variable PC_URB PC_AG PC_CROP PC_WET PC_DISTOT
TN_MGL 0.008 0.059 0.049 0.326 0.066 TP_MGL 0.241 0.268 0.251 0.141 0.289 NOX_MGL 0.128 -0.018 -0.033 -0.199 0.037 PH 0.157 0.309 0.065 -0.214 0.281 COND_UMHOSCM 0.314 0.400 0.086 -0.185 0.400 TEMP_C -0.010 -0.130 -0.032 -0.050 -0.123 DO_MGL -0.071 -0.116 -0.057 -0.041 -0.136
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Diatom Species Composition Highly Related to Nutrient & pH/Cond Gradients
-4 -2 0 2 4
-3-2
-10
12
3
DCA1
DC
A2
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pHTemp_C
DO_mglsqrsmsubsqrbcov
sqrmcov
lntn
lntp
lnnox
lncond
ln1pc_urb
ln1pc_wet
ln1pc_.croppc_agpc_Distot
pc_Undistot
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Region 4 TP Metric
(Weighted Average (PLS)
Regression)
• ∑piOpti – i=1-n spp
-6.0 -4.8 -3.6 -2.4 -1.2 0.0
-6.0
-4.8
-3.6
-2.4
-1.2
0.0
allsiteslntp ! Estimates ! Obs_lntp
alls
itesl
ntp
! E
stim
ate
s ! W
AP
LS
_C
2
-6.0 -4.8 -3.6 -2.4 -1.2 0.0
-2.0
-1.0
0.0
1.0
2.0
allsiteslntp ! Residuals ! Obs_lntp
alls
itesl
ntp
! R
esi
du
als
! W
AP
LS
_C
2
-6.0 -5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0
-6.0
-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
allsiteslntp ! Estimates ! Obs_lntpa
llsite
sln
tp !
Est
ima
tes
! WA
PL
S_
C2
_X
-6.0 -4.8 -3.6 -2.4 -1.2 0.0
-4.0
-2.0
0.0
2.0
4.0
6.0
allsiteslntp ! Residuals ! Obs_lntp
alls
itesl
ntp
! R
esi
du
als
! W
AP
LS
_C
2_
X
Observed TP (ln(mg TP/L))Observed TP (ln(mg TP/L))
Observed TP (ln(mg TP/L))Observed TP (ln(mg TP/L))
Infe
rred
TP
(ln(m
g TP
/L))
Infe
rred
TP
Jack
(ln(
mg
TP/L
))
Resi
d In
f TP
(ln(m
g TP
/L))
Resi
d In
f TP
Jack
(ln(
mg
TP/L
))C D
A B
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Many Diatom Metrics Correlated to TP and Human Disturbance Gradient
Indicator LNTPAOALLSITESLNTP 0.769ALLSITESLNTP 0.725AOALLSITESTPCAT 0.706ALLSITESTPCAT 0.695SUMOFLOWPTAXA -0.386LNSOLOWPTAXARA -0.372SUMOFHIGHPTAXA 0.629LNSOHIGHPTAXARA 0.576
TAXARICHNESS 0.208SHANDIV -0.169AOVDTSIWO7 0.338VDTSIWO7 0.324AOVDNHET 0.373VDHHET 0.398AOVDOXY 0.384VDOXY 0.481AOVDSAP 0.372VDSAP 0.364
Indicator LNTPAOL1PTLOPT 0.422L1PTLOPT 0.486AOLNTLOPT 0.380LNTLOPT 0.486FL1DISTOTOPT 0.486DISTOTMMIOPT 0.405NUTMMIOPT 0.504AODISTOTMMIOPT 0.406AOMAIATSI 0.436MAIATSI 0.513AOFLS_FS_EPI_MMN 0.091FLS_FS_EPI_MMN 0.311AOFLS_FS_EPI_TP 0.321FLS_FS_EPI_TP 0.418CYMB_SPP_NO -0.302LNPCCYMBIND -0.388FRAG_SPP_NO 0.023LNPCFRAGIND -0.036SILT_SPP_NO 0.392SILT_IND_PC 0.501
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Most Response is in Low Range of Nutrients 0.01 0.10 1.00
0
10
20
30
Nu
mb
er
of L
ow
P T
axa
0.01 0.10 1.000
10
20
30
Nu
mb
er
of L
ow
P T
axa
0.01 0.10 1.000
10
20
30
40
Nu
mb
er
of h
igh
P T
axa
0.01 0.10 1.000
10
20
30
40
Nu
mb
er
of h
igh
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
% L
ow
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
% L
ow
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
60
% H
igh
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
60
% H
igh
P T
axaNote
Linearity and Non-linearity of Responses
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Weighted Average Metric Better Related to Land Use than
Indicator Species MetricsIndicator LN1PCURB PC_AG LN1PCCROP PC_DISTOT LNTP
AOALLSITESLNTP 0.769 0.517 0.309 0.126 -0.089ALLSITESLNTP 0.725 0.522 0.326 0.022 -0.066AOALLSITESTPCAT 0.297 0.149 -0.004 0.260 0.706ALLSITESTPCAT 0.319 0.061 -0.003 0.227 0.695SUMOFLOWPTAXA -0.113 -0.014 -0.049 -0.029 -0.386LNSOLOWPTAXARA -0.090 -0.042 -0.104 -0.057 -0.372SUMOFHIGHPTAXA 0.264 0.128 -0.035 0.242 0.629LNSOHIGHPTAXARA 0.272 0.194 -0.031 0.293 0.576
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Response of
Periphyton Could Be Used to Justify
Nutrient Criteria
(thresholds or
reference condition)
0.01 0.10 1.000
10
20
30
Nu
mb
er
of L
ow
P T
axa
0.01 0.10 1.000
10
20
30
Nu
mb
er
of L
ow
P T
axa
0.01 0.10 1.000
10
20
30
40
Nu
mb
er
of h
igh
P T
axa
0.01 0.10 1.000
10
20
30
40
Nu
mb
er
of h
igh
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
% L
ow
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
% L
ow
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
60
% H
igh
P T
axa
0.01 0.10 1.00
TP (mg/L)
0
10
20
30
40
50
60
% H
igh
P T
axa
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NAWQA-NEET
-4 8
-48
RZ_wet
RZ_cropsXTNmglXOPmgl
XTPmgl
CondpH
Bicarb
Turbid
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NAWQA-NEET
-4 8
-48
RZ_wet
RZ_cropsXTNmglXOPmgl
XTPmgl
CondpH
Bicarb
Turbid
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NARS: Periphyton MMI(no new metrics used)
Site Class(R=reference, MD=moderately disturbed, HD=highly disturbed, V=reference validation)
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Metrics Selected for National and Regional MMIs
Metrics Code DescriptionpT_distmmiSens proportion of diatom Taxa characteristically found at Reference sites in
WEMAPpTsens_Achnanthaceae proportion of Taxa characteristically found at Reference sites in WEMAP in
the diatom family AchnanthaceaepTsens_Diatomaceae proportion of Taxa characteristically found at Reference sites in WEMAP in
the diatom family DiatomaceaepTsens_Naviculaceae proportion of Taxa characteristically found at Reference sites in WEMAP in
the diatom family NaviculaceaepTtol_Naviculaceae proportion of Taxa characteristically found at Reference sites in WEMAP in
the diatom family NaviculaceaepTtol_Nitzschiaceae proportion of Taxa Taxa characteristically found at Reference sites in WEMAP
in the diatom family NitzschiaceaepIHMotD_vDia proportion of valves of diatoms that are in Taxa characterized as highly motile
in sedimentspIStlk_vDia proportion of valves of diatoms that are in Taxa characterized as highly
stalkedpIPlnk_vDia proportion of diatom valves as planktonic taxaS_N_Diat number of NRSA diatom taxa per valve countedShanDiv_Diat Shannon diversity of diatom assemblagesnFamilies_valve number of diatom families per valve counted
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NRSA Periphyton
MMI by Ecoregion:
Eastern Highlands
and Lowland
Plains
Site Class(R=ref, MD=mod dist, HD=high dist, V= validation)
Traditional MMI Modeled MMI
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NRSA: Species TraitsNitzschia amphibia
3 4 5 6 7 8 9 10
pH
0.1
1.0
10.0
100.0
1,000.0
10,000.00.2
0.2
Achnanthidium minutissimum
3 4 5 6 7 8 9 10
pH
0.1
1.0
10.0
100.0
1,000.0
10,000.0
TP
(ug
/L)
0.2
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Web Site: Species Traits• Trait Types
– Weighted Average Optima– Indicator Species Values
• Indicate What?– Reference and Trashed or Human Disturbance Gradient
• Biological condition traits• Sensitive and Tolerant Taxa• Ecological Functions
– Stressors• Nutrients, pH, siltation, hydrologic alteration (dam upstream)
• Existing and New Traits based on NARS surveys
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Web Site: Database
• Input Tables– Species names and traits (12 traits at a time)– Sample IDs, species names, counts– Taxa harmonization table
• QA– Matches for all taxa names, count totals
• Metric calculation– Weighted average metrics (∑piOpti)– Indicator species metrics (% spp or ind w trait)
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Summary
• Periphyton metrics work in Region 4 and can be use to support development of nutrient criteria
• Periphyton metrics could be better• Lots of Potential from Existing and New Data
Sets• Next steps
– Further species traits analysis– Website and Database