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Soi l Arthropod Population
Behavior when Monitored in
      a High Nitrogen
        Environment



           Aj Valerama, Chie Sato and Emily Kersting
Introduction
               Dirt vs. soil
Introduction
          SOIL NUTRIENTS
Introduction
 Enter Text Here
Introduction
Methods
 •   Study site is located by the northwest side of University Arboretum
 •   Mediterranean climate
 •   This study was conducted between February and April in 2012.
Methods
 Treatment vs. control
 • 20 x 10 feet slope
 • Treatment site was added ammonium sulfate ;(NH4)2SO4 ,prior to the first
    sampling.
 • Control site was untreated.
 • A slope is divided into four sections; a top, 1/3 from a top, 2/3 from a top, a
    bottom, and our group was
    responsible for the 1/3 from a top and
    a bottom.
Methods
 Vegetation coverage sampling
 • 2 x 2 feet quadrat
 • we estimated percentages of vegetation coverage
    for each species within a quadrat.
 • 2 replicas were made from each 1/3 from top and
    a bottom of a slope.

 Soil sampling
 • Soil samples were taken at the 1/3 from a top and a bottom of a slope.
 • 3 replicas were made from each sections.
 • First sampling was done in end of February and
    the second sample was carried out in beginning of April.
Methods
 Arthropod species:
 • Springtail (Collembola)
 • mite (TetranychidaeI)
 • ant

 Plant species:
 • soft chess (Bromus hordeaceus)
 • black medic (Medicago hispida)
 • grass (Sorghum halepense)
Methods
 Tullgren funnel system
 • Sampled soils were processed in the Tullgren funnel system at a lab for the
     extraction of arthropods.
 • Intense heat from the excess of light on the soils, leads arthropods into a flask
     set below a funnel.
 • For the identification and counting process, we used a microscope.
Results
 Mite and Springtail populations were predicted to increase in the presence of
    added nitrogen and down the gradient; this was statistically analyzed by a two-
    way ANOVA. Sample #2 for Mites and #1 for Springtails were statistically
    insignificant and the null hypotheses were accepted. The following null
    hypotheses showed significance.
Results
 Variable: Ammonium Sulfate (NH4)2SO4

 The chemical equation that converts ammonium to useable nitrite ions is as
    follows:
              NH4+ + 1/2 O2 ↔ NO2- + 2H+ + H2O (Wright 2004)


 Since this reaction is able to go both ways, the chemical equilibrium of the
    substances takes affect, so that when one reactant is added in excess it shifts to
    the product side and vice versa. When an excess of ammonium and oxygen are
    present, the chemical equilibrium then will shift over to the product side
    producing the beneficial Nitrite ions, Hydrogen ions and Water. The nitrite ion
    is then changed by bacteria in the following equation:

                       NO2-+ 1/2 O2 ↔ NO3- (Wright 2004)

 The produced nitrate is then used then for plant growth.
Results
 The chemical synthesis of the nitrite and nitrate ions inspired a hypothesis. We
    predicted that the nitrogen rich plot would contain greater percent moisture
    than the control plot.
 This proved to be accurate however, a greater sample size is needed to draw any
    solid conclusions from the data.
Results

 Species diversity was also predicted to increase with the soil moisture. By
    conducting a simple graphical representation of the soil moisture and the
    calculated species diversity trends, the control plot and treatment plot graphs
    were compared.

 When comparing the trend lines, a direct correlation between both species
   diversity and soil moisture was observed.
Results
 Hypothesis: “Plant productivity in the fertilized plot will increase with the added
    ammonium sulfate.”
 These results indicated that there was a significant positive relationship between
    the wild radish growth and the addition of nitrogen (R2=.5995). In contrast the
    control soil showed a much less significant increase in plant growth over the
    same time period (R2=.1142).
Results
             Control (Right)




 Treatment (Bottom)
Results

 The control plot however didn’t correlate at all. Both nitrogen and water are
    needed to support a successful arthropod community population (Henze 1997).

 A successful arthropod community population is identified as a population with a
    stable species diversity. Species diversity correlates with the community’s
    success because when a community is diverse, each niche is filled, and
    symbiotic relationships effectively occur.
 Symbiotic relationships stabilize the environment and only occur when diversity is
    abundant. The control plot lacked stable species diversity because it was
    lacking in nitrogen compared to the treatment plot.
Possible Error
 •   Soil moisture didn’t follow an expected trend like it should have. Perhaps
     there was more clay content in specific areas of the soil, which prevented the
     rainfall from draining properly down the gradient. This may have provided
     some false positive or false negative hypotheses; more samples would need to
     be taken to solidify the drainage pattern for the treatment plot and the control
     plot.
 •   Major source of error was that one half of the experiment was conducted by a
     group that I had no contact with. This communication wall added much
     variability to our samples.
      – False Arthropod classification
      – Lack of diligence in correct counting
 •   The core samples that were taken were also very high in variability. Some
     samples were very large, while other samples were very small. This would
     greatly affect the amount of arthropods counted and throw off statistical tests,
     especially the ANOVA, where replication data was key.
Fixing Error
 • There are clear routes for reducing the percent error if this experiment
   were to be repeated.
     – Greatly increasing the amount of samples taken is a necessity for greater
       accuracy for the analysis for the data.
     – Extracting and counting all the samples in a small communicative group
     – Single-handedly extracting data would also increase the accuracy of the
       results.
Literature Cited
     1. Belser L. 1979. Population Ecology on Nitrifying Bacteria. Annual Review of
        Microbiology 33:309-333.
     2. Bradford, J. 2004. The Soil Nitrogen Cycle. Anderson Farms Centers.
        http://www.andersonsfarmcenters.com/PDF/FC_Jeff_Bradford_April06.pdf
     3. Henze, Mogens, Paul Harremo ︽ , Jes la Cour Jansen, and Erik
        Arvin. Wastewater Treatment, Biological and Chemical Processes. Berlin,
        Germany: Springer, 1997
     4. Mihelcic, James R. Fundamentals of Envionromental Engineering. New
        York: John Wiley & Sons, Inc., 1999.
     5. Moiser, A. 2004. Agriculture And The nitrogen Cycle: Assessing the Impacts
        of Fertilizer Use. Scientific Committee on Problems of the Environment 1:234.
     6. Sawyer J. 2008. Surface Waters: Ammonium is not Ammonia. Iowa State
        University <
        http://www.extension.iastate.edu/CropNews/2008/0421JohnSawyer.htm>
     7. Verhoef, H. 1983. Releaser and primer pheromones in Collembola. Journal of
        Insect Physiology 30:665-670.
     8. Wright, S. 2004. Nitrification: the Basics.< http://www.wrights-
        trainingsite.com/Nitrif1onb.html>

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Soil Arthropod and Nitrogen Final

  • 1. Soi l Arthropod Population Behavior when Monitored in a High Nitrogen Environment Aj Valerama, Chie Sato and Emily Kersting
  • 2. Introduction Dirt vs. soil
  • 3. Introduction SOIL NUTRIENTS
  • 6. Methods • Study site is located by the northwest side of University Arboretum • Mediterranean climate • This study was conducted between February and April in 2012.
  • 7. Methods Treatment vs. control • 20 x 10 feet slope • Treatment site was added ammonium sulfate ;(NH4)2SO4 ,prior to the first sampling. • Control site was untreated. • A slope is divided into four sections; a top, 1/3 from a top, 2/3 from a top, a bottom, and our group was responsible for the 1/3 from a top and a bottom.
  • 8. Methods Vegetation coverage sampling • 2 x 2 feet quadrat • we estimated percentages of vegetation coverage for each species within a quadrat. • 2 replicas were made from each 1/3 from top and a bottom of a slope. Soil sampling • Soil samples were taken at the 1/3 from a top and a bottom of a slope. • 3 replicas were made from each sections. • First sampling was done in end of February and the second sample was carried out in beginning of April.
  • 9. Methods Arthropod species: • Springtail (Collembola) • mite (TetranychidaeI) • ant Plant species: • soft chess (Bromus hordeaceus) • black medic (Medicago hispida) • grass (Sorghum halepense)
  • 10. Methods Tullgren funnel system • Sampled soils were processed in the Tullgren funnel system at a lab for the extraction of arthropods. • Intense heat from the excess of light on the soils, leads arthropods into a flask set below a funnel. • For the identification and counting process, we used a microscope.
  • 11. Results Mite and Springtail populations were predicted to increase in the presence of added nitrogen and down the gradient; this was statistically analyzed by a two- way ANOVA. Sample #2 for Mites and #1 for Springtails were statistically insignificant and the null hypotheses were accepted. The following null hypotheses showed significance.
  • 12. Results Variable: Ammonium Sulfate (NH4)2SO4 The chemical equation that converts ammonium to useable nitrite ions is as follows: NH4+ + 1/2 O2 ↔ NO2- + 2H+ + H2O (Wright 2004) Since this reaction is able to go both ways, the chemical equilibrium of the substances takes affect, so that when one reactant is added in excess it shifts to the product side and vice versa. When an excess of ammonium and oxygen are present, the chemical equilibrium then will shift over to the product side producing the beneficial Nitrite ions, Hydrogen ions and Water. The nitrite ion is then changed by bacteria in the following equation: NO2-+ 1/2 O2 ↔ NO3- (Wright 2004) The produced nitrate is then used then for plant growth.
  • 13. Results The chemical synthesis of the nitrite and nitrate ions inspired a hypothesis. We predicted that the nitrogen rich plot would contain greater percent moisture than the control plot. This proved to be accurate however, a greater sample size is needed to draw any solid conclusions from the data.
  • 14. Results Species diversity was also predicted to increase with the soil moisture. By conducting a simple graphical representation of the soil moisture and the calculated species diversity trends, the control plot and treatment plot graphs were compared. When comparing the trend lines, a direct correlation between both species diversity and soil moisture was observed.
  • 15. Results Hypothesis: “Plant productivity in the fertilized plot will increase with the added ammonium sulfate.” These results indicated that there was a significant positive relationship between the wild radish growth and the addition of nitrogen (R2=.5995). In contrast the control soil showed a much less significant increase in plant growth over the same time period (R2=.1142).
  • 16. Results Control (Right) Treatment (Bottom)
  • 17. Results The control plot however didn’t correlate at all. Both nitrogen and water are needed to support a successful arthropod community population (Henze 1997). A successful arthropod community population is identified as a population with a stable species diversity. Species diversity correlates with the community’s success because when a community is diverse, each niche is filled, and symbiotic relationships effectively occur. Symbiotic relationships stabilize the environment and only occur when diversity is abundant. The control plot lacked stable species diversity because it was lacking in nitrogen compared to the treatment plot.
  • 18. Possible Error • Soil moisture didn’t follow an expected trend like it should have. Perhaps there was more clay content in specific areas of the soil, which prevented the rainfall from draining properly down the gradient. This may have provided some false positive or false negative hypotheses; more samples would need to be taken to solidify the drainage pattern for the treatment plot and the control plot. • Major source of error was that one half of the experiment was conducted by a group that I had no contact with. This communication wall added much variability to our samples. – False Arthropod classification – Lack of diligence in correct counting • The core samples that were taken were also very high in variability. Some samples were very large, while other samples were very small. This would greatly affect the amount of arthropods counted and throw off statistical tests, especially the ANOVA, where replication data was key.
  • 19. Fixing Error • There are clear routes for reducing the percent error if this experiment were to be repeated. – Greatly increasing the amount of samples taken is a necessity for greater accuracy for the analysis for the data. – Extracting and counting all the samples in a small communicative group – Single-handedly extracting data would also increase the accuracy of the results.
  • 20. Literature Cited 1. Belser L. 1979. Population Ecology on Nitrifying Bacteria. Annual Review of Microbiology 33:309-333. 2. Bradford, J. 2004. The Soil Nitrogen Cycle. Anderson Farms Centers. http://www.andersonsfarmcenters.com/PDF/FC_Jeff_Bradford_April06.pdf 3. Henze, Mogens, Paul Harremo ︽ , Jes la Cour Jansen, and Erik Arvin. Wastewater Treatment, Biological and Chemical Processes. Berlin, Germany: Springer, 1997 4. Mihelcic, James R. Fundamentals of Envionromental Engineering. New York: John Wiley & Sons, Inc., 1999. 5. Moiser, A. 2004. Agriculture And The nitrogen Cycle: Assessing the Impacts of Fertilizer Use. Scientific Committee on Problems of the Environment 1:234. 6. Sawyer J. 2008. Surface Waters: Ammonium is not Ammonia. Iowa State University < http://www.extension.iastate.edu/CropNews/2008/0421JohnSawyer.htm> 7. Verhoef, H. 1983. Releaser and primer pheromones in Collembola. Journal of Insect Physiology 30:665-670. 8. Wright, S. 2004. Nitrification: the Basics.< http://www.wrights- trainingsite.com/Nitrif1onb.html>