Abdel Alfahham , Alain Plante , Daniel Gimenez , Em anuel ... · Abdel Alfahham1, Alain Plante 1,...

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Dettmann, U., Andrews, F., Donckels, B., & Duan, Q. (2018). Package ‘SoilHyP’. Durner, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water resources research, 30(2), 211-223. Lesk, C., Rowhani, P., & Ramankutty, N. (2016). Influence of extreme weather disasters on global crop production. Nature, 529(7584), 84-87. doi:10.1038/nature16467 Peters, A., Iden, S. C., & Durner, W. (2015). Revisiting the simplified evaporation method: Identification of hydraulic functions considering vapor, film and corner flow. Journal of Hydrology, 527, 531-542. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Wiebe, K., Lotze-Campen, H., Sands, R., Tabeau, A. A., & Meijl, v., J.C.M. (2015). Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios. Environmental Research Letters, 10(8) doi:10.1088/1748-9326/10/8/085010. Assessing the Impact of Organic Farming Practices on Building Drought Resistant Soil Abdel Alfahham 1 , Alain Plante 1 , Daniel Gimenez 2 , Emmanuel Omondi 3 University of Pennsylvania, Rutgers University, Rodale Institute BACKGROUND FARMING SYSTEMS TRIAL MATERIALS AND METHODS FUTURE ANALYSES REFERENCES TOTAL CARBON & NITROGEN K S Start Year 1981 Agricultural Treatments MNR LEG CONV + No-Till 2008 Agricultural Treatments MNR-T LEG-T CONV-T MNR-NT LEG-NT CONV-NT Sample Date July 2018 Composite Soil Samples Intact HYPROP Cores Depth (cm) 0 – 10 10 – 20 20 – 30 0 – 10 10 – 20 20 – 30 Field Procedure At each depth/plot, composite sample collected from 10 locations (n=24) At each depth/plot, intact soil core collected from one location (n=24) Instrument Costech ECS 4010 METER HYPOP 1 /WP4C 1 /KSAT 2 Soil Properties Total Carbon & Nitrogen* *samples did not contain carbonates 1 Water Retention Curve (WRC) Air-Filled Pores (AFP) 2 Saturated Hydraulic Conductivity (K s ) Drought and extreme heat cause a 10% decrease in global cereal production, 5-7% reduction in yield annually (Lesk et al., 2016). System-wide models predicting effects of climate change on agriculture have emphasized the need for research into processes that enhance tolerance to drought and heat (Wiebe et al., 2015). Hypothesis: Organic farming can lead to improved soil health and increase in organic matter which will improve hydraulic properties. Objective: Compare and contrast hydraulic conductivity, water retention, organic carbon and nitrogen among six different farm management systems at Rodale Institute's Farming Systems Trial. Goal: Determine the optimal practices that lead to drought resistance, flood mitigation and improved water retention properties. WRC & AFP DATA ANALYSIS In order to investigate the relationship between soil organic carbon & nitrogen and soil hydraulic properties, more data about the soil cores have to be collected. 72 Intact HYPROP cores will be analyzed for: 1. Soil Texture (Grain Size Distribution) 2. Total Carbon & Nitrogen 3. Organic Carbon & Nitrogen 4. Rock Weight and Volume 5. More soil water retention curves will be collected. MNR Organic Manure LEG Organic Legume CONV Synthetic Conventional Air-Filled Pores 0 – 10 cm p-value Ψ cm 10 30 50 100 300 1,000 15,000 Soil Type (USDA) .001 .021 .039 .052 .048 .046 .094 Treatment .106 .244 .272 .359 .370 .328 .262 Tillage .030 .355 .599 .566 .566 .588 .604 Soil Type x Treatment .861 .997 .982 .980 .970 .996 .832 Soil Type x Tillage .006 .107 .138 .202 .182 .164 .123 Treatment x Tillage .303 .399 .335 .381 .361 .435 .487 Soil Type x Treatment x Tillage .259 .543 .523 .652 .651 .685 .914 1. Peters-Durner-Iden (PDI) model (Peters & Durner, 2015) fitted to HYPROP and WP4C data using SoilHyP/fitSHP R package (Dettmann et al., 2018). = =1 1 1+ Multimodal Retention Function (Durner, 1994) 2. PDI parameters were used to calculate volumetric water content at different pressure potentials (, ): = + = 10, 30, 50, 100, 300, 1000, 15000 3. Air-Filled Pores ( ), portion of the total soil porosity containing air, was calculated at the same potentials using: = BkB Berks-Weikert channery loam, 3 to 8 percent slopes [42,42,16] CmB Clarksburg silt loam, 3 to 8 percent slopes [27,54,19] CmA Clarksburg silt loam, 0 to 3 percent slopes [27,54,19] p = 0.03 p = 0.002 p = 0.01 p = 0.03 p = 0.02 p = 0.003 α = 0.05 α = 0.05 α = 0.05 Total Carbon: Statistically significant differences between organic and conventional treatments. Differences between till and no-till were not significant. p = 0.09 p = 0.03 p = 0.05 p = 0.00 p = 0.13 p = 0.00 p = 0.16 p = 0.00 p = 0.06 α = 0.05 α = 0.05 Carbon-to-Nitrogen Ratio : Statistically significant interaction between treatment x tillage at 10 – 20 cm and 20 – 30 cm depths. Treatment or tillage individually were not significantly different. Total Nitrogen: Statistically significant differences between organic and conventional treatments. Similar to carbon, difference between till and no-till were not significant. Results show statistically significant differences between organic and conventional treatments at the 10 – 20 cm depth. Significant differences also observed between the tillage systems at 0 – 10 cm and 20 – 30 cm. RESULTS RESULTS Two-way Analysis of Variance (ANOVA) on carbon & nitrogen, K s , AFP were conducted using IBM SPSS 25 AFP WRC 10% 20% 30% 40% 50% 60% 0 1 2 3 4 5 Volumetric Water Content pF (Log ) NT/CmB TILL/CmB TILL/BkB NT/BkB Water Retention Curve: Four curves were fitted to represent the two soil types (CmB and BkB) and two tillage methods (Till and No-Till).

Transcript of Abdel Alfahham , Alain Plante , Daniel Gimenez , Em anuel ... · Abdel Alfahham1, Alain Plante 1,...

Page 1: Abdel Alfahham , Alain Plante , Daniel Gimenez , Em anuel ... · Abdel Alfahham1, Alain Plante 1, Daniel Gimenez2, Emmanuel Omondi3 University of Pennsylvania, Rutgers University,

• Dettmann, U., Andrews, F., Donckels, B., & Duan, Q. (2018). Package ‘SoilHyP’.

• Durner, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure.Water resources research, 30(2), 211-223.

• Lesk, C., Rowhani, P., & Ramankutty, N. (2016). Influence of extreme weather disasters on globalcrop production. Nature, 529(7584), 84-87. doi:10.1038/nature16467

• Peters, A., Iden, S. C., & Durner, W. (2015). Revisiting the simplified evaporation method:Identification of hydraulic functions considering vapor, film and corner flow. Journal of Hydrology,527, 531-542.

• Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture.Web Soil Survey.

• Wiebe, K., Lotze-Campen, H., Sands, R., Tabeau, A. A., & Meijl, v., J.C.M. (2015). Climate changeimpacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios.Environmental Research Letters, 10(8) doi:10.1088/1748-9326/10/8/085010.

Assessing the Impact of Organic Farming Practices on Building Drought Resistant Soil Abdel Alfahham1, Alain Plante 1, Daniel Gimenez2, Emmanuel Omondi3

University of Pennsylvania, Rutgers University, Rodale Institute

BACKGROUND

FARMING SYSTEMS TRIAL

MATERIALS AND METHODS

FUTURE ANALYSES

REFERENCES

TOTAL CARBON & NITROGEN

KS

Start Year 1981

Agricultural Treatments

MNR LEG CONV

+ No-Till 2008

Agricultural Treatments

MNR-T LEG-T CONV-T

MNR-NT LEG-NT CONV-NT

Sample Date July 2018

Composite Soil Samples Intact HYPROP Cores

Depth (cm) 0 – 10 10 – 20 20 – 30 0 – 10 10 – 20 20 – 30

Field Procedure

At each depth/plot, composite sample collected from 10

locations (n=24)

At each depth/plot, intact soil core collected from one location

(n=24)

Instrument Costech ECS 4010 METER HYPOP1/WP4C1/KSAT2

Soil Properties

Total Carbon & Nitrogen**samples did not contain carbonates

1Water Retention Curve (WRC) Air-Filled Pores (AFP)

2Saturated Hydraulic Conductivity (Ks)

• Drought and extreme heat cause a 10% decrease in global cerealproduction, 5-7% reduction in yield annually (Lesk et al., 2016).

• System-wide models predicting effects of climate change on agriculturehave emphasized the need for research into processes that enhancetolerance to drought and heat (Wiebe et al., 2015).

• Hypothesis: Organic farming can lead to improved soil health andincrease in organic matter which will improve hydraulic properties.

• Objective: Compare and contrast hydraulic conductivity, water retention,organic carbon and nitrogen among six different farm managementsystems at Rodale Institute's Farming Systems Trial.

• Goal: Determine the optimal practices that lead to drought resistance,flood mitigation and improved water retention properties.

WRC & AFP

DATA ANALYSIS

In order to investigate the relationship between soil organic carbon & nitrogenand soil hydraulic properties, more data about the soil cores have to be collected.72 Intact HYPROP cores will be analyzed for:1. Soil Texture (Grain Size Distribution)2. Total Carbon & Nitrogen3. Organic Carbon & Nitrogen4. Rock Weight and Volume5. More soil water retention curves will be collected.

MNR Organic Manure

LEG Organic Legume

CONV Synthetic Conventional

Air-Filled Pores 0 – 10 cm

p-value

Ψ cm 10 30 50 100 300 1,000 15,000

Soil Type (USDA) .001 .021 .039 .052 .048 .046 .094

Treatment .106 .244 .272 .359 .370 .328 .262

Tillage .030 .355 .599 .566 .566 .588 .604

Soil Type x Treatment .861 .997 .982 .980 .970 .996 .832

Soil Type x Tillage .006 .107 .138 .202 .182 .164 .123

Treatment x Tillage .303 .399 .335 .381 .361 .435 .487

Soil Type x Treatment x Tillage

.259 .543 .523 .652 .651 .685 .914

1. Peters-Durner-Iden (PDI) model (Peters & Durner, 2015) fitted toHYPROP and WP4C data using SoilHyP/fitSHP R package(Dettmann et al., 2018).

𝑆𝑒 =𝑖=1

𝜅

𝑊𝑖1

1+ 𝛼𝑖𝛹 𝑛

𝑖

𝑚𝑖

Multimodal Retention Function (Durner, 1994)

2. PDI parameters were used to calculate volumetric water content

𝜃𝑖 at different pressure potentials (𝛹, 𝑐𝑚):

𝜃𝑖 = 𝑆𝑒 𝜃𝑆 − 𝜃𝑟 + 𝜃𝑟

𝛹 = 10, 30, 50, 100, 300, 1000, 15000 𝑐𝑚

3. Air-Filled Pores (𝐴𝐹𝑃), portion of the total soil porositycontaining air, was calculated at the same potentials using:

𝐴𝐹𝑃 = 𝜃𝑠 − 𝜃𝑖

BkBBerks-Weikert channery loam, 3 to 8 percent slopes [42,42,16]

CmBClarksburg silt loam, 3 to 8 percent slopes [27,54,19]

CmAClarksburg silt loam, 0 to 3 percent slopes [27,54,19]

p = 0.03

p = 0.002

p = 0.01

p = 0.03

p = 0.02

p = 0.003

α = 0.05

α = 0.05

α = 0.05

Total Carbon:Statistically significant differences between organic and conventional treatments. Differences between till and no-till were not significant.

p = 0.09 p = 0.03 p = 0.05

p = 0.00 p = 0.13 p = 0.00

p = 0.16 p = 0.00 p = 0.06

α = 0.05 α = 0.05

Carbon-to-Nitrogen Ratio :Statistically significant interaction between treatment x tillage at 10 – 20 cm and 20 – 30 cmdepths. Treatment or tillage individually were not significantly different.

Total Nitrogen:Statistically significant differences between organic and conventional treatments. Similar to carbon, difference between till and no-till were not significant.

Results show statistically significant differences between organic andconventional treatments at the 10 – 20 cm depth. Significant differencesalso observed between the tillage systems at 0 – 10 cm and 20 – 30 cm.

RESULTS

RESULTS• Two-way Analysis of Variance (ANOVA) on carbon & nitrogen, Ks,

AFP were conducted using IBM SPSS 25

AFP

WRC

10%

20%

30%

40%

50%

60%

0 1 2 3 4 5

Vo

lum

etr

ic W

ate

r C

on

ten

t

pF (Log 𝛹)

NT/CmB TILL/CmB TILL/BkB NT/BkB

Water Retention Curve: Four curves were fitted to represent the two soil types (CmB and BkB) and two tillage methods (Till and No-Till).