SlideShare a Scribd company logo
1 of 15
SEASONAL PATTERNS OF NITROGEN RETENTION IN A RESTORED TIDAL
    FRESHWATER STREAM OF THE MID-ATLANTIC COASTAL PLAIN
                    Joe Wood and Paul Bukaveckas
        Virginia Commonwealth University, Department of Biology
.
 Seasonal
 Variation



               Heterotrophic       Primary
               Assimilation       Production                Tidal
Respiration                                               Exchange
                                                           Volume

                                          Autotrophic
                                          Assimilation
  Nitrogen
   Loads
                           Variation in
                                               Areal Inundation
                            Nitrogen
       Nutrient
       Availability
                            Retention
• Describe seasonal patterns
  and annualized budgets for    Project Goals
  Nitrogen in a recently
  restored tidal freshwater
  stream.

• Estimate seasonal variation
  in ecosystem metabolism
  parameters (using diel
  dissolved oxygen curves)

• Determine controlling
  factors of nitrogen
  retention.
13000 m3
         Dam Breach confining
         discharge to a 5 meter
         passageway




1500m3
Water Fluxes
    50000                                                                                                          0.4
    45000                            Chesapeake Bay Water Stage                   James River
                                                                                                                   0.2
    40000
    35000
                                                                                                                   0
    30000
    25000                                                                                                          -0.2
    20000
                                                                                                                   -0.4
    15000
m




                                                                                                                          W
                                                                                                                          m
E
V




                                                                                                                          R
g
n
h
u
o




                                                                                                                          S
3
a
c
x
e




                                                                                                                          g
                                                                                                                          a
                                                                                                                          u
                                                                                                                          d
                                                                                                                          e
                                                                                                                          s
    10000
)
(
f
l




                                                                                                                          )
                                                                                                                          (
                                                                                                                          r
                                                                                                                          t
                                                                                                                          l
                                                                                                                          i
                                                                                                                   -0.6
    5000
       0                                                                                                           -0.8
            Seo   Oct   Nov    Dec      Jan       Feb       Mar   Apr       May          Jun     Jul         Aug

                                                                        60000

                                                                        50000
                                                                                                 R² = 0.78
                                                                        40000

                                                                        30000

                                                                        20000

                                                                        10000
                                                                  m
                                                                  E
                                                                  u
                                                                  o
                                                                  g
                                                                  n
                                                                  h
                                                                  3
                                                                  v
                                                                  e
                                                                  a
                                                                  c
                                                                  x
                                                                  )
                                                                  (
                                                                  l



                                                                           0
                                                                                0.0     0.5     1.0     1.5     2.0       2.5   3.0
                                                                                                   River depth (m)
Annualized Budgets
                                               North River, MA
                                                (Bowden et al
                  Kimages Creek, VA                 1991)
        in (kg)   out (kg) diff (kg)    %             %
NH4      309        330       -21      -6.8%        1.2%
Nox     1046        994        52      5.0%         6.8%
 DIN    1361       1323        38      2.8%         4.4%
DON     2605       2827       -222     -8.5%
  TN    3966       4150       -184     -4.6%
   Cl   65641      68451     -2809     -4.3%
DOC     32082      30820      631       4%
 TSS    113494    125627     -6067     -10%
3,500

     2,500

     1,500
                           RETENTION
      500

      -500
                                                                               DIN
    -1,500
                                                 RELEASE
N
D
u
d
C
e
T
a
g
y
x
F
/
c
I
l
i




    -2,500

    -3,500
    3,500    Sep   Oct   Dec   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug

    2,500

    1,500

      500

     -500
                                                                               TON
    -1,500
O
N
d
u
C
e
T
a
g
y
x
F
/
c
i
l




    -2,500

    -3,500
    3,500    Sep   Oct   Dec   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug



                                                                               TN
    2,500

    1,500

      500

     -500

    -1,500
                                                                               = (DIN
                                                                               + TON)
N
d
u
C
e
T
a
g
y
x
F
/
c
i
l




    -2,500

    -3,500
             Sep   Oct   Dec   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug
Metabolism Results
    20.00                                                      0.6
             Kimages Creek                                     0.5
    15.00
                                                               0.4
                                     [NOx]
    10.00
                                                          *    0.3
                                                               0.2
     5.00
                                                               0.1




                                                                      m
                                                                      O
                                                                      N
                                                                      R
                                                                      e
                                                                      a
                                                                      g
                                                                      v
                                                                      x
                                                                      /
                                                                      L
                                                                      s
                                                                      r
                                                                      J
                                                                      )
                                                                      (
                                                                      I
     0.00                                                      0
M
O




     -5.00
d
g
2
/




    -10.00
                                                                 R
    -15.00
                                                                 GPP
    -20.00
                                                                 AE
             Jan   Feb   Mar   Apr     May   Jun   Jul   Aug
Controlling factors of NOx Retention
    3,000                                               3,000
    2,500                           Sep                 2,500                                    Sep
    2,000                                               2,000
    1,500                                               1,500                        R² = 0.6439
                                      R² = 0.8006
    1,000                                               1,000
     500                                                 500
        0                                                   0
R
d
g
o
n
e




                                                    R
)
(
t




                                                    d
                                                    g
                                                    o
                                                    n
/
i




                                                    e
                                                    )
                                                    (
                                                    t
                                                    /
                                                    i
     -500                                                -500
 -1,000                                             -1,000
             0         10             20            30     0        10,000        20,000         30,000   40,000
                         Temp (C)
                                                                    Exchange Volume (m3)
    3,000
    2,500                 Sep                                       "GPP" R² = 0.6857

    2,000
                                                                    "R"     R² = 0.4414
    1,500
    1,000
     500
R
d
g
o
n




        0
e
)
(
t
/
i




                   R² = 0.709
     -500
 -1,000
            0.00      0.20           0.40           0.60    0.00   2.00       4.00        6.00     8.00   10.00
                        Ambient NOx (mg/L)
                                                                          GPP or R (g O2/M2/Day)
Hurricane Kyle
In < 1% of the year, 10%
of total annual exchange
volume and 7% of annual
Nox Inflow, half of which
was retained. (3.5% of
annual NOx retained)

      1.4
                                                                             Rice Pier
      1.2
                                                                             Ches B.B.
       1

      0.8

      0.6

      0.4

      0.2
  m
  w
  R
  h
  b
  u
  d
  e
  a
  g
  s
  r
  t
  )
  (
  l
  i




       0
            23-Sep-08   24-Sep-08   25-Sep-08   26-Sep-08   27-Sep-08   28-Sep-08    29-Sep-08
.03
                           .47*
    Temperature
                                                 Exchange
                  -.39                            Volume
                                                 (driven by
                                  GPP
                                                water stage
                                                 Variation)
-.42*             R                0.62*

                      0.86**


        Ambient
                                                 .80**
         [NOx]

                               NOx Mass
             -.84**            Retention
                                           Path
                                                         * p < .05
                                           analysis      ** p < .01
.03
                           .47*
       Water
    Temperature
                  -.39                         Tidal
                                             Exchange
                                  GPP
                                              Volume

-.42*             R                0.62*

                      0.86**


        Ambient
                                             .80**
         [NOx]

                                  NO3
             -.84**            Retention
                                                     * p < .05
                                                     ** p < .01
Conclusions
• DIN Retention exhibits strong
  seasonal variation that includes net
  release.
                                                Seasonal                    .47*
                                                Variation                                      -.05

                                             (Temperature)
                                                            -.39                                      Exchange



• Metabolism, Exchange Volume and
                                                                                   GPP                 Volume
                                              -.42*
                                                                   R
                                                                                   0.62*
                                                                       0.86**
                                                                                                  .80**




  Ambient Nitrate Concentration
                                                         Ambient
                                                         Nutrient
                                                      Concentrations
                                                             -.84**             NOx Mass
                                                                                Retention
                                                                                            Path


  regulate nitrate retention.
                                           .62*
                                                                                                          * p < .05
                                                                                            analysis      ** p < .01




                                         Hurricane Kyle
                                         In < 1% of the year, 10%



• High flow events can significantly
                                         of total annual exchange
                                         volume and 7% of
                                         annual Nox Inflow, half
                                         of which was retained.




  influence annual budgets of nutrient
  retention.
Thank you!
 • Dr. Joanna Curran          • Jim Deemy
 • Dr. James Vonesh           • Julie Frank
  • Dr. Chris Gough     • Alex Fredua-Agyemang
  • Michael Brandt             • Mac Lee
 • Kristen Cannatelli     • Nader Shehadeh
• Maureen Daughtery        • Nathan Conway
                            • Anne Schlegel
Questions?

More Related Content

What's hot (7)

Section 1
Section 1Section 1
Section 1
 
#SahelNOW summary
#SahelNOW summary #SahelNOW summary
#SahelNOW summary
 
769
769769
769
 
663
663663
663
 
Lead Talk95 97
Lead Talk95 97Lead Talk95 97
Lead Talk95 97
 
Section 2
Section 2Section 2
Section 2
 
1311
13111311
1311
 

Viewers also liked

Rotary district 6150 leadership academy
Rotary district 6150 leadership academyRotary district 6150 leadership academy
Rotary district 6150 leadership academy
Dustin Rumsey
 
Selections womens wovens aw 2014
Selections womens wovens aw 2014Selections womens wovens aw 2014
Selections womens wovens aw 2014
TFCExpress
 
Cm5570 user manual
Cm5570 user manualCm5570 user manual
Cm5570 user manual
Shefang801
 
Course 14-days-3-march-2013
Course 14-days-3-march-2013Course 14-days-3-march-2013
Course 14-days-3-march-2013
Galina Perova
 
The Professional Information Designers 15 Golden Rules
The Professional Information Designers 15 Golden RulesThe Professional Information Designers 15 Golden Rules
The Professional Information Designers 15 Golden Rules
AnnNiki
 
Working To A Brief Pro Forma
Working To A Brief Pro FormaWorking To A Brief Pro Forma
Working To A Brief Pro Forma
ChloeandRachel
 
политическая панель (социология укр)
политическая панель (социология укр)политическая панель (социология укр)
политическая панель (социология укр)
Dmitry Antonyuk
 

Viewers also liked (20)

A Notes Developer's Journey into Java
A Notes Developer's Journey into JavaA Notes Developer's Journey into Java
A Notes Developer's Journey into Java
 
к и м 6
к и м 6к и м 6
к и м 6
 
к и м 6
к и м 6к и м 6
к и м 6
 
Rotary district 6150 leadership academy
Rotary district 6150 leadership academyRotary district 6150 leadership academy
Rotary district 6150 leadership academy
 
Nat report 1
Nat report 1Nat report 1
Nat report 1
 
Selections womens wovens aw 2014
Selections womens wovens aw 2014Selections womens wovens aw 2014
Selections womens wovens aw 2014
 
Bí quyết dưỡng da ngày đông về
Bí quyết dưỡng da ngày đông vềBí quyết dưỡng da ngày đông về
Bí quyết dưỡng da ngày đông về
 
Closet makeover
Closet makeoverCloset makeover
Closet makeover
 
Effective Teams
Effective TeamsEffective Teams
Effective Teams
 
Inles canada
Inles canadaInles canada
Inles canada
 
Cm5570 user manual
Cm5570 user manualCm5570 user manual
Cm5570 user manual
 
Course 14-days-3-march-2013
Course 14-days-3-march-2013Course 14-days-3-march-2013
Course 14-days-3-march-2013
 
Presentatie starteskompas Rabobank Amstel en Vecht
Presentatie starteskompas Rabobank Amstel en Vecht Presentatie starteskompas Rabobank Amstel en Vecht
Presentatie starteskompas Rabobank Amstel en Vecht
 
The Professional Information Designers 15 Golden Rules
The Professional Information Designers 15 Golden RulesThe Professional Information Designers 15 Golden Rules
The Professional Information Designers 15 Golden Rules
 
E learning as an alternative method
E learning as an alternative methodE learning as an alternative method
E learning as an alternative method
 
Tempo February 2016
Tempo February 2016Tempo February 2016
Tempo February 2016
 
Working To A Brief Pro Forma
Working To A Brief Pro FormaWorking To A Brief Pro Forma
Working To A Brief Pro Forma
 
Jaringan
JaringanJaringan
Jaringan
 
презентация метод вертебропластика
презентация метод вертебропластикапрезентация метод вертебропластика
презентация метод вертебропластика
 
политическая панель (социология укр)
политическая панель (социология укр)политическая панель (социология укр)
политическая панель (социология укр)
 

Similar to Aers 2010

Análisis Estadístico Contratos INEM 2013M02
Análisis Estadístico Contratos INEM 2013M02Análisis Estadístico Contratos INEM 2013M02
Análisis Estadístico Contratos INEM 2013M02
Manuel Viña
 
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
Texas Alliance of Groundwater Districts
 
060 techniques of_data_analysis
060 techniques of_data_analysis060 techniques of_data_analysis
060 techniques of_data_analysis
vsimkhed
 
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
guestd2d93b8
 
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
World Agroforestry (ICRAF)
 
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
World Agroforestry (ICRAF)
 
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
obutuz
 
standard materials price list 2011 (PP)
standard materials price list 2011 (PP)standard materials price list 2011 (PP)
standard materials price list 2011 (PP)
Chhay Teng
 
Lecture 13: Effective Presentations - Guest Lecture by Marie-Claude
Lecture 13: Effective Presentations - Guest Lecture by Marie-ClaudeLecture 13: Effective Presentations - Guest Lecture by Marie-Claude
Lecture 13: Effective Presentations - Guest Lecture by Marie-Claude
Jessica Laccetti
 

Similar to Aers 2010 (20)

Liaison Faculty09 - Research for NHS Clinicians [Workshop]
Liaison Faculty09 - Research for NHS Clinicians [Workshop]Liaison Faculty09 - Research for NHS Clinicians [Workshop]
Liaison Faculty09 - Research for NHS Clinicians [Workshop]
 
Session1 kees westrate port of rotterdam
Session1 kees westrate port of rotterdamSession1 kees westrate port of rotterdam
Session1 kees westrate port of rotterdam
 
Análisis Estadístico Contratos INEM 2013M02
Análisis Estadístico Contratos INEM 2013M02Análisis Estadístico Contratos INEM 2013M02
Análisis Estadístico Contratos INEM 2013M02
 
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
Overview of the Energy Water Nexus, Dr. Carey King, University of Texas at Au...
 
Session 3 ic2011 csoka
Session 3 ic2011 csokaSession 3 ic2011 csoka
Session 3 ic2011 csoka
 
006b NCWRM 2011 vanWeert_IGRAC
006b NCWRM 2011 vanWeert_IGRAC006b NCWRM 2011 vanWeert_IGRAC
006b NCWRM 2011 vanWeert_IGRAC
 
Mekong BFP Review
Mekong BFP ReviewMekong BFP Review
Mekong BFP Review
 
Data analysis
 Data analysis Data analysis
Data analysis
 
060 techniques of_data_analysis
060 techniques of_data_analysis060 techniques of_data_analysis
060 techniques of_data_analysis
 
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
 
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
Mithoefer iftpovertyzw regionalsustainableusebiodiversityws2006
 
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
Indigenous fruit use in Zimbabwe and Malawi Dagmar Mithöfer World Agroforestr...
 
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
Mithoefer Iftpovertyzw Regionalsustainableusebiodiversityws2006
 
Fish in the Mekong from a BFP point of view
Fish in the Mekong from a BFP point of viewFish in the Mekong from a BFP point of view
Fish in the Mekong from a BFP point of view
 
Scan0002
Scan0002Scan0002
Scan0002
 
standard materials price list 2011 (PP)
standard materials price list 2011 (PP)standard materials price list 2011 (PP)
standard materials price list 2011 (PP)
 
An Comann
An ComannAn Comann
An Comann
 
120511 iasi danuabe survey - Mr Orhan Ibram
120511 iasi   danuabe survey - Mr Orhan Ibram120511 iasi   danuabe survey - Mr Orhan Ibram
120511 iasi danuabe survey - Mr Orhan Ibram
 
Lecture 13: Effective Presentations - Guest Lecture by Marie-Claude
Lecture 13: Effective Presentations - Guest Lecture by Marie-ClaudeLecture 13: Effective Presentations - Guest Lecture by Marie-Claude
Lecture 13: Effective Presentations - Guest Lecture by Marie-Claude
 
3 Users Walk Into a Bar
3 Users Walk Into a Bar3 Users Walk Into a Bar
3 Users Walk Into a Bar
 

Recently uploaded

Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
amitlee9823
 
Production Day 1.pptxjvjbvbcbcb bj bvcbj
Production Day 1.pptxjvjbvbcbcb bj bvcbjProduction Day 1.pptxjvjbvbcbcb bj bvcbj
Production Day 1.pptxjvjbvbcbcb bj bvcbj
LewisJB
 
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
amitlee9823
 
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
amitlee9823
 
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
ssuserded2d4
 
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
shivangimorya083
 
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
anilsa9823
 
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
Pooja Nehwal
 
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdfreStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
Ken Fuller
 
OSU毕业证留学文凭,制做办理
OSU毕业证留学文凭,制做办理OSU毕业证留学文凭,制做办理
OSU毕业证留学文凭,制做办理
cowagem
 
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
anilsa9823
 

Recently uploaded (20)

Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
Call Girls Bidadi ☎ 7737669865☎ Book Your One night Stand (Bangalore)
 
Top Rated Pune Call Girls Deccan ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
Top Rated  Pune Call Girls Deccan ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...Top Rated  Pune Call Girls Deccan ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls Deccan ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
 
Production Day 1.pptxjvjbvbcbcb bj bvcbj
Production Day 1.pptxjvjbvbcbcb bj bvcbjProduction Day 1.pptxjvjbvbcbcb bj bvcbj
Production Day 1.pptxjvjbvbcbcb bj bvcbj
 
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hosur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
 
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
Nandini Layout Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangal...
 
Toxicokinetics studies.. (toxicokinetics evaluation in preclinical studies)
Toxicokinetics studies.. (toxicokinetics evaluation in preclinical studies)Toxicokinetics studies.. (toxicokinetics evaluation in preclinical studies)
Toxicokinetics studies.. (toxicokinetics evaluation in preclinical studies)
 
Personal Brand Exploration - Fernando Negron
Personal Brand Exploration - Fernando NegronPersonal Brand Exploration - Fernando Negron
Personal Brand Exploration - Fernando Negron
 
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf0425-GDSC-TMU.pdf
 
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls South Ex 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Booking open Available Pune Call Girls Ambegaon Khurd 6297143586 Call Hot In...
Booking open Available Pune Call Girls Ambegaon Khurd  6297143586 Call Hot In...Booking open Available Pune Call Girls Ambegaon Khurd  6297143586 Call Hot In...
Booking open Available Pune Call Girls Ambegaon Khurd 6297143586 Call Hot In...
 
Joshua Minker Brand Exploration Sports Broadcaster .pptx
Joshua Minker Brand Exploration Sports Broadcaster .pptxJoshua Minker Brand Exploration Sports Broadcaster .pptx
Joshua Minker Brand Exploration Sports Broadcaster .pptx
 
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gosainganj Lucknow best sexual service
 
Motilal Oswal Gift City Fund PPT - Apr 2024.pptx
Motilal Oswal Gift City Fund PPT - Apr 2024.pptxMotilal Oswal Gift City Fund PPT - Apr 2024.pptx
Motilal Oswal Gift City Fund PPT - Apr 2024.pptx
 
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
Dombivli Call Girls, 9892124323, Kharghar Call Girls, chembur Call Girls, Vas...
 
Résumé (2 pager - 12 ft standard syntax)
Résumé (2 pager -  12 ft standard syntax)Résumé (2 pager -  12 ft standard syntax)
Résumé (2 pager - 12 ft standard syntax)
 
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdfreStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
reStartEvents 5:9 DC metro & Beyond V-Career Fair Employer Directory.pdf
 
OSU毕业证留学文凭,制做办理
OSU毕业证留学文凭,制做办理OSU毕业证留学文凭,制做办理
OSU毕业证留学文凭,制做办理
 
Dubai Call Girls Starlet O525547819 Call Girls Dubai Showen Dating
Dubai Call Girls Starlet O525547819 Call Girls Dubai Showen DatingDubai Call Girls Starlet O525547819 Call Girls Dubai Showen Dating
Dubai Call Girls Starlet O525547819 Call Girls Dubai Showen Dating
 
Dubai Call Girls Demons O525547819 Call Girls IN DUbai Natural Big Boody
Dubai Call Girls Demons O525547819 Call Girls IN DUbai Natural Big BoodyDubai Call Girls Demons O525547819 Call Girls IN DUbai Natural Big Boody
Dubai Call Girls Demons O525547819 Call Girls IN DUbai Natural Big Boody
 
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Nishatganj Lucknow best sexual service
 

Aers 2010

  • 1. SEASONAL PATTERNS OF NITROGEN RETENTION IN A RESTORED TIDAL FRESHWATER STREAM OF THE MID-ATLANTIC COASTAL PLAIN Joe Wood and Paul Bukaveckas Virginia Commonwealth University, Department of Biology
  • 2. . Seasonal Variation Heterotrophic Primary Assimilation Production Tidal Respiration Exchange Volume Autotrophic Assimilation Nitrogen Loads Variation in Areal Inundation Nitrogen Nutrient Availability Retention
  • 3. • Describe seasonal patterns and annualized budgets for Project Goals Nitrogen in a recently restored tidal freshwater stream. • Estimate seasonal variation in ecosystem metabolism parameters (using diel dissolved oxygen curves) • Determine controlling factors of nitrogen retention.
  • 4. 13000 m3 Dam Breach confining discharge to a 5 meter passageway 1500m3
  • 5. Water Fluxes 50000 0.4 45000 Chesapeake Bay Water Stage James River 0.2 40000 35000 0 30000 25000 -0.2 20000 -0.4 15000 m W m E V R g n h u o S 3 a c x e g a u d e s 10000 ) ( f l ) ( r t l i -0.6 5000 0 -0.8 Seo Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug 60000 50000 R² = 0.78 40000 30000 20000 10000 m E u o g n h 3 v e a c x ) ( l 0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 River depth (m)
  • 6. Annualized Budgets North River, MA (Bowden et al Kimages Creek, VA 1991) in (kg) out (kg) diff (kg) % % NH4 309 330 -21 -6.8% 1.2% Nox 1046 994 52 5.0% 6.8% DIN 1361 1323 38 2.8% 4.4% DON 2605 2827 -222 -8.5% TN 3966 4150 -184 -4.6% Cl 65641 68451 -2809 -4.3% DOC 32082 30820 631 4% TSS 113494 125627 -6067 -10%
  • 7. 3,500 2,500 1,500 RETENTION 500 -500 DIN -1,500 RELEASE N D u d C e T a g y x F / c I l i -2,500 -3,500 3,500 Sep Oct Dec Jan Feb Mar Apr May Jun Jul Aug 2,500 1,500 500 -500 TON -1,500 O N d u C e T a g y x F / c i l -2,500 -3,500 3,500 Sep Oct Dec Jan Feb Mar Apr May Jun Jul Aug TN 2,500 1,500 500 -500 -1,500 = (DIN + TON) N d u C e T a g y x F / c i l -2,500 -3,500 Sep Oct Dec Jan Feb Mar Apr May Jun Jul Aug
  • 8. Metabolism Results 20.00 0.6 Kimages Creek 0.5 15.00 0.4 [NOx] 10.00 * 0.3 0.2 5.00 0.1 m O N R e a g v x / L s r J ) ( I 0.00 0 M O -5.00 d g 2 / -10.00 R -15.00 GPP -20.00 AE Jan Feb Mar Apr May Jun Jul Aug
  • 9. Controlling factors of NOx Retention 3,000 3,000 2,500 Sep 2,500 Sep 2,000 2,000 1,500 1,500 R² = 0.6439 R² = 0.8006 1,000 1,000 500 500 0 0 R d g o n e R ) ( t d g o n / i e ) ( t / i -500 -500 -1,000 -1,000 0 10 20 30 0 10,000 20,000 30,000 40,000 Temp (C) Exchange Volume (m3) 3,000 2,500 Sep "GPP" R² = 0.6857 2,000 "R" R² = 0.4414 1,500 1,000 500 R d g o n 0 e ) ( t / i R² = 0.709 -500 -1,000 0.00 0.20 0.40 0.60 0.00 2.00 4.00 6.00 8.00 10.00 Ambient NOx (mg/L) GPP or R (g O2/M2/Day)
  • 10. Hurricane Kyle In < 1% of the year, 10% of total annual exchange volume and 7% of annual Nox Inflow, half of which was retained. (3.5% of annual NOx retained) 1.4 Rice Pier 1.2 Ches B.B. 1 0.8 0.6 0.4 0.2 m w R h b u d e a g s r t ) ( l i 0 23-Sep-08 24-Sep-08 25-Sep-08 26-Sep-08 27-Sep-08 28-Sep-08 29-Sep-08
  • 11. .03 .47* Temperature Exchange -.39 Volume (driven by GPP water stage Variation) -.42* R 0.62* 0.86** Ambient .80** [NOx] NOx Mass -.84** Retention Path * p < .05 analysis ** p < .01
  • 12. .03 .47* Water Temperature -.39 Tidal Exchange GPP Volume -.42* R 0.62* 0.86** Ambient .80** [NOx] NO3 -.84** Retention * p < .05 ** p < .01
  • 13. Conclusions • DIN Retention exhibits strong seasonal variation that includes net release. Seasonal .47* Variation -.05 (Temperature) -.39 Exchange • Metabolism, Exchange Volume and GPP Volume -.42* R 0.62* 0.86** .80** Ambient Nitrate Concentration Ambient Nutrient Concentrations -.84** NOx Mass Retention Path regulate nitrate retention. .62* * p < .05 analysis ** p < .01 Hurricane Kyle In < 1% of the year, 10% • High flow events can significantly of total annual exchange volume and 7% of annual Nox Inflow, half of which was retained. influence annual budgets of nutrient retention.
  • 14. Thank you! • Dr. Joanna Curran • Jim Deemy • Dr. James Vonesh • Julie Frank • Dr. Chris Gough • Alex Fredua-Agyemang • Michael Brandt • Mac Lee • Kristen Cannatelli • Nader Shehadeh • Maureen Daughtery • Nathan Conway • Anne Schlegel

Editor's Notes

  1. My Talk today is about some work I’ve done on seasonal patterns of nitrogen retention in a restored tidal creek
  2. Ecosystems exhibit seasonal variation in processes which regulate nutrient retention. Ambient Nutrient Concentrations influence nutrient retention because only available nutrients may be retained by an ecosystem. Respiration and Gross primary production influence retention by assimilating nutrients into biomass. Tidal Exchange volume is more specific to these wide shallow channels, increases in exchange volumes results in greater inundation of riparian floodplain or wetlands which have profound influences on biogeochemical processes. Clarifying the strength and patterns of these processes was a main objective of this study
  3. Our project goals include
  4. This is an areal view of Kimages Creek. This dam was build in the 1920s to form lake charles. The dam was breached from a storm 3 years ago, resulting in Lake Drawdown and re-establishment of tidal exchange. When I speak of the restoration of this system it has been and extremely passive process in the sense that nothing has been done. One challenge of performing mass balances on tidal creeks is gauging accurate discharge in such a wide shallow habitat Some tidal creek studies have had to construct expensive weirs to be able to gauge tidal exchange, In our case the breach in the dam solves this problem by confining all tidal exchange to a small channel; as a result we have been able to create accurate budgets of this system. Once a month for a year we went out and characterized watershed inputs right above the head of tide and Tidal exchange across a complete tidal cycle. Click: These arrows represent average discharge for our study period. You can see the hydrology of this system is dominated by tidal exchange with the James River
  5. Tidal exchange in this system showed strong seasonal variability which is driven by river stage which in turn is driven by Chesapeake Bay water stage. This seasonal trend in Chesapeake Bay Water stage is due to a variety of physical properties including wind patterns and thermal expansion of water. This relationship between water stage and exchange volume is exponetial with increased depths resulting in Extremely large exchange volumes.
  6. The Annual balance between retention and release of nitrogen results in a relatively balanced system; The system acts as a sink for inorganic nitrogen but acts as a source for organic and total nitrogen looking at the annualized budgets you might not expect that much activity is going on here, If we compare the results for our system with the results of Bowden’s estimates we see that they are relatively similar.
  7. Dissolved Inorganic Nitrogen is retained throughout warmer months with heavy nutrient retention occuring in early fall and late spring. The end of summer show decreased retention. Winter months show net release of inorganic nitrogen
  8. We used a method to estimated metabolism which uses diel dissolved oxygen patterns. 3 factors are assumed to cause variation in temperature corrected dissolved oxygen concentrations. Photosynthesis, Respiration, and atmospheric Exchange. Our estimates indicate that this system is consistently heterotrophic. Diel estimates of metabolism are presented here. Kimages Respiration estimates are less variable than primary production. Also when Anbient nitrate levels decline by mid summer production levels begin decreasing. During August Kimages oxygen levels became extremely depleted and caused large atmospheric exchange estimates and thus reduced precision of our estimates.
  9. Exchange Volume, Temperature, Metabolism and Ambient Concentration all exhibited relatively strong relationships with mass retention of NOx in this system. We did observe one date which represented Retention estimates which were similar to all other estimates combined. So we went back and tried to figure out what was going on on this dates.
  10. We figured out that On September 24 th Hurricane Kyle was moving through the Atlantic ocean. Because the hurricane was off the coast a ways, we didn’t experience heavy precipitations due to the storm, but it did cause a significant rise in water stage in the Chesapeake bay. Which in turn had heavy influence on James river water stage. Our sampling date fell durring the beginning of this upwelling. This Represented the higher water level for the entire year and thus the highest exchange volume with tidal Kimages Creek. This 3 day event represented … When considering that our annual estimates of nitrate retention are only 5%, These types of events could be critical to nutrient retention.
  11. We have attempted to use path analysis to determine causal relationships of factors which regulate nutrient retention. The results of this analysis indicate that a large proportion of the variation in nutrient retention which is caused by metabolism and Ambient Nutrient levels can be explained by temperature, Exchange volume influences on nutrient retention seem to be independent of temperature and instead releated to water stage which in our system Is most heavily influence by seasonal trends in Chesapeake bay water stage.
  12. We have attempted to use path analysis to determine causal relationships of factors which regulate nutrient retention. The results of this analysis indicate that a large proportion of the variation in nutrient retention which is caused by metabolism and Ambient Nutrient levels can be explained by temperature, Exchange volume influences on nutrient retention seem to be independent of temperature and instead releated to water stage which in our system Is most heavily influence by seasonal trends in Chesapeake bay water stage.
  13. The Values of Tidal Freshwater Ecosystems: My talk is about Tidal Freshwater streams and their ability to remove Nitrogen which can cause problematic eutrophication in downstream ecosystems. These pictures are taken from the same place over the 4 seasons.