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Texture 7 Temperature 28 WFP 50 : Denitrification Rate Vs. Organic Carbon Rdn (kgN ha-1 d-1) 9 8 7 6 5 4 3 2 1 0 0.6 S 1.50316 R-Sq 68.0% 0.7 Rdn (kgN ha-1 d-1) = - 0.415 + 6.003 OC (%) 0.8 0.9 1.0 OC (%) Figure 2.46 7-28-50; Denitrification Rate Vs. Organic Carbon. Rdn (kgN ha-1 d-1) 35 30 25 20 15 10 5 0 4.0 S 5.96724 R-Sq 91.5% 4.5 2.5.8. Texture 8 (Silt Loam) Texture 7 Temperature 22 WFP 100 : Denitrification Rate Vs.pH 5.0 5.5 pH 67 1.1 Rdn (kgN ha-1 d-1) = - 40.02 + 10.17 pH Figure 2.47 7-22-100; Denitrification Rate Vs. pH. The Silty loam dataset is subdivided into 8-3-53 (n=9), 8-4-75 (n=9), 8-6-65 (n=10), 8-7- 59 (n=10), 8-8-51 (n=10), 8-9-76 (n=10), 8-10-61 (n=9),8-10-62 (n=6), 8-10-64 (n=6), 8- 12-70 (n=6), 8-13-84 (n=5), 8-14-21 (n=4),8-14-70 (n=6),8-14-73 (n=6),8-15-69 (n=6), 6.0 1.2 6.5 1.3 7.0 1.4
8-20-34 (n=3), 8-20-84 (n=4), 8-20-86 (n=9), 8-20-87 (n=7), 8-20-88 (n=3), 8-20-89 (n=5),8-20-100 (n=7), 8-25-60 (n=19),8-25-75 (n=18), 8-25-90 (n=18) and 8-25-100 (n=3). The majority of the subsets have only one unique organic carbon and pH value and hence do not furnish any additional information. The only supplementary information derived is the linear relationship between the denitrification rate and nitrate concentration from 8-4- 75, 8-6-100, 8-10-61, 8-20-84,8-20-88 and 8-20-89 (Figure 2.48 - Figure 2.53). Rdn (kgN ha-1 d-1) Texture 8 Temperature 4 WFP 75 : Denitrification Rate Vs.Nitrate Concentration 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 Rdn (kgN ha-1 d-1) = - 0.005474 + 0.01689 NO3- Conc( µgN g-1 soil) S 0.0093829 R-Sq 80.5% 1.0 1.5 2.0 2.5 3.0 NO3- Conc( µgN g-1 soil) Figure 2.48 8-4-75; Denitrification Rate Vs. Nitrate Concentration. 68 3.5 4.0
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THE FLORIDA STATE UNIVERSITY ARTS A
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To my Dad, Mum and Brother iii
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Dr. Stephen Kish for his words of e
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1.5. Evaluation of methods to estim
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2.5.8. Texture 8 (Silt Loam).......
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4.2.6. Texture 6 (Sandy Clay Loam).
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LIST OF TABLES Table 1.1 Additional
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LIST OF FIGURES Figure 1.1 Oxidatio
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Figure 2.51 8-20-84; Denitrificatio
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Figure 3.6 Probability plot (Textur
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Three statistical methods were used
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• Microbial biomass/ plant uptake
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Figure 1.1 Oxidation of organic car
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possibility of denitrification (Smi
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50ºC (36ºF - 122ºF) (Brady & Wei
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1.2.6. Salinity Salinity is a known
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1.3.1. The Acetylene inhibition met
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Among the variety of successful met
Page 37 and 38: a first-order decay process. The ma
Page 39 and 40: look at the data shows that it fail
Page 41 and 42: Da is the denitrification rate (mg
Page 43 and 44: a simple linear regression of organ
Page 45 and 46: of the annual N2O emission and deni
Page 47 and 48: easons for the limitation of the mo
Page 49 and 50: Table 1.2 Continued dC / dt Organic
Page 51 and 52: also implies that the transferabili
Page 53 and 54: CHAPTER TWO 2. LINEAR REGRESSION An
Page 55 and 56: an improvement on the earlier attem
Page 57 and 58: 2.3. Texture Table 2.1 Soil Textura
Page 59 and 60: 2.3.5. Texture 5 (Sand) The surfici
Page 61 and 62: 2.3.10. Texture 10 (Silty Clay Loam
Page 63 and 64: Textural Class Table 2.2 Coefficien
Page 65 and 66: R_d_n (kgN ha-1 d-1) R_d_n (kgN ha-
Page 67 and 68: 2.4.3. Texture 3 (Loam) Texture 3 c
Page 69 and 70: R_d_n (kgN ha-1 d-1) Texture 3 Temp
Page 71 and 72: R_d_n (kgN ha-1 d-1) 6 5 4 3 2 1 0
Page 73 and 74: 2.4.7. Texture 7 (Sandy Loam) The S
Page 75 and 76: Texture 7 Temperature 12 : Denitrif
Page 81 and 82: Rdn (kgN ha-1 d-1) Texture 9 Temper
Page 83 and 84: Rdn (kgN ha-1 d-1) 16 12 8 4 0 Text
Page 85 and 86: 2.5. Break down by Texture, Tempera
Page 87: Rdn (kgN ha-1 d-1) Texture 3 Temper
Page 93 and 94: Subsets 9-7-100, 9-25-100 and 9-30-
Page 95 and 96: Texture 10 Temperature 25 WFP 100 :
Page 97 and 98: a significant linear relationship b
Page 105 and 106: Rdn (kgN ha-1 d-1) Rdn (kgN ha-1 d-
Page 109 and 110: C9 Rdn (kgN ha-1 d-1) 12 10 8 6 4 2
Page 113 and 114: Rdn (kgN ha-1 d-1) Texture 10 Tempe
Page 115 and 116: 2.6.11. Texture 11 (Silt) No data a
Page 117 and 118: 2.7.6. Texture 6 (Sandy Clay Loam)
Page 121 and 122: Rdn (kgN ha-1 d-1) Texture 8 Tepera
Page 123 and 124: Rdn (kgN ha-1 d-1) Texture 8 Tepera
Page 125 and 126: 2.8. Summary The correlation coeffi
Page 127 and 128: where, M is the slope of the linear
Page 129 and 130: Hence for the first set of equation
Page 131 and 132: 3.2.2. Texture-Temperature-WFP-pH T
Page 133 and 134: Organic Carbon (%) Actual Rdn Gener
Page 135 and 136: R dn Results C = 9.389 - 3.210* M -
Page 137 and 138: The actual denitrification values f
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Eigenvalue 1.5 1.4 1.3 1.2 1.1 1.0
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R indicated by the significant code
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R Table 4.5 Comparison of actual an
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Table 4.8 Texture 2, Comparison of
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Table 4.11 Comparison of actual and
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The two equations are applied to th
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R R dn dn = - 0.05 ∗Temperature (
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Table 4.19 Texture 8, Linear multi-
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Table 4.20 Continued Actual Rdn Pre
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Once again the equations developed
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4.2.11. Texture 11 (Silt) No data a
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CHAPTER FIVE 5. ANALYSIS USING NEUR
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Figure 5.2 McCulloch-Pitts (Meyer-B
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developed. In order to control over
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Eventually the final set of network
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5.4.4. Texture 5 (Sand) Figure 5.5
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5.4.6. Texture 8 (Silt Loam) Figure
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5.4.8. Texture 10 (Silty Clay Loam)
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CHAPTER SIX 6. USE OF ISOTOPES TO E
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18 ⎛ ⎛ ⎜ O ⎞ 16 ⎜ ⎜ ⎟
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Figure 6.1 Estimation of Nitrate Lo
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δ 18 O 12 10 8 6 4 2 Table 6.1 Egg
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δ 18 O 20.00 18.00 16.00 14.00 12.
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CHAPTER SEVEN 7. APPLICATION TO JAC
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7.2. Multiple Regression Three equa
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Table 7.4 Multi-Regression and Neur
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8.3. Main Results The linear equati
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isotopes can be particularly useful
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APPENDIX B CONVERSION SHEET FOR DEN
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iv. v. vi. Given in the dataset: 1.
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Conversion from −3 −1 g N m d t
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Convert From Multiply by Convert to
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Texture 4 Variable Count N* Mean St
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Texture 10 Variable Count N* Mean S
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Texture-Temperature-WFP-pH Code Equ
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09-15-25-09 Rdn = 0.0106688*OC + 0.
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Code Rdn - OC Code Rdn-WFP Code Rdn
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- Code Rdn - OC Code Rdn - pH Code
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- Code Rdn - OC Code Rdn - NO3 Conc
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Code Rdn - OC Code Rdn - pH 08-25-9
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REFERENCES Almasri, M. N., & Kaluar
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Fellows, C., Hunter, H., Eccleston,
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King, D., & Nedwell, D. B. (1985).
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Ozden, T., & Muhammetoglu, H. (2008
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Smith, R., Bohlke, J., Garabedian,
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Zhu, J., Liu, G., Han, Y., Zhang, Y
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