R. Jan Stevenson Michigan State University East Lansing, MI 48824
22
Periphyton Data from National-Scale Assessments Can Inform Nutrient Criteria Development for Southeastern States 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 Presentation
Transcript of R. Jan Stevenson Michigan State University East Lansing, MI 48824
Periphyton Data from National-Scale Assessments Can Inform Nutrient
Criteria Development for Southeastern States
R. Jan StevensonMichigan State University
East Lansing, MI 48824
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
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
Streams sampled in Region 4 during summer 2006 and summer 2007 (SPNBR and SPNR)
N=169
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
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
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
Diatom Species Composition Highly Related to Nutrient & pH/Cond Gradients
-4 -2 0 2 4
-3-2
-10
12
3
DCA1
DC
A2
+
+
++
+
+
+
+
+
+
+
+
+
+ +
++
+
+
+
+
+
+
+
+
++
+
+
++
+
+
+
+
+
++
+
++
+
+
+ ++
++
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
++
++ +
+
+
+
+
+
+
+
+ ++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
++
+ +
+
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
++ +
++
+
+
+
+
++
+
+
+
++
+
+
+ +
+
+
++
+
++
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
++
+++
+
+
+
++
++
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+ +
+
++
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+ +
+
+
+
++
+
+
+
++
+
+ +
+ +
+
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+
+
+
+
+
++
+
+
+
+
+
++
++
+
++
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ +
+
+
+
+
+
+
+
+
++
+
++
+
+
+
+
+
+
+++
+
+
++
+
+
++
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ +
+ + ++
+
+
+
+ +
++
+
+
++
+
+
+
+
+
+
+
+++
+
+
++
+
+
+ +
+
+
+
+
+
+
+
++
+
+
+
+
+
+
+
++
+
+
++
++
+
+
+
+
+
+
+
+
++
++
+
+ +
+
+
+
+++
+
+
+
+
+ +
+ +
++
+
+
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
++
+
+
++
+
+
+
+
+
+
+
+
+
+
+
++
+
+
+
+
++
+
+
+
+
+
+
+
+
+
+
+
+
+ +
+
+++
+
+
+
+
++
++
+
pHTemp_C
DO_mglsqrsmsubsqrbcov
sqrmcov
lntn
lntp
lnnox
lncond
ln1pc_urb
ln1pc_wet
ln1pc_.croppc_agpc_Distot
pc_Undistot
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
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
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
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
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
NAWQA-NEET
-4 8
-48
RZ_wet
RZ_cropsXTNmglXOPmgl
XTPmgl
CondpH
Bicarb
Turbid
NAWQA-NEET
-4 8
-48
RZ_wet
RZ_cropsXTNmglXOPmgl
XTPmgl
CondpH
Bicarb
Turbid
NARS: Periphyton MMI(no new metrics used)
Site Class(R=reference, MD=moderately disturbed, HD=highly disturbed, V=reference validation)
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
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
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
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
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)
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
