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Overview. Introduction into the CANDY model. Results of calibration and simulation procedures:. Trace gas measurement field and black fallow of short term experiment. Plant development of crop rotation (short term experiment) and 100 years NPK plot (13).

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slide2

Overview

  • Introduction into the CANDY model.
  • Results of calibration and simulation procedures:
  • Trace gas measurement field and black fallow of short term experiment.
  • Plant development of crop rotation (short term experiment) and 100 years NPK plot (13).
  • Corg and Nmin of crop rotation (short term experiment) and 100 years plots (1, 6, 13, 18).
slide3

environment

OM-pools properties

management

climate data

soil properties

crop properties

management

min./org. fertilzers

pesticides

crop development

OM-turnover

N-dynamics

dynamics of pesticides

CANDY model

Parameters

Driving force

soil water dynamics

soil temp. dynamics

Initialisation

initial values

observation

Output

Output

fluxes

concentrations

slide4

CANDY - input data (1)

Initial conditions

Management data

  • Preferable initial observations of:
  • soil moisture
  • soil mineral nitrogen
  • Corg or decomposable carbon (CDEC)
  • At least:
  • average values of preceding management (crops & yields, org. matter applicatons)
  • Level of nitrogen application
  • Soil moisture level
  • Mineral N fertilization:
  • - Date
      • - Quantity (N-Input kg/ha)
      • - type of fertiliser
  • Organic manure:
  • - Date
  • - Quantity (C –Input kg/ha)
  • - type of manure
  • Cropping:
  • - (Date of sowing)
  • - Date of emergence
  • - Date of harvest
  • - Yield (t/ha)
  • - N-Uptake (kg/ha)
  • Soil tillage (>1 dm):
  • - Date
  • - Depth
slide5

CANDY - input data (2)

Climate data

      • Daily global radiation (J / cm²)
      • or duration of sunshine (h)
      • Daily precipitation (mm)
  • Daily temperature (° C)

Alternatives

Generated climate data

Monthly aggregated data

Adaptation of rainfall intensity

slide6

CANDY - input data (3)

Soil parameters (each soil horizon):

  • depth of soil horizon (dm)
  • mineral density (g/cm3)
  • bulk density (g/cm3)
  • permanent wilting point (VOL%)
  • field capacity (VOL%)
  • clay content < 2µm (M %)
  • fine silt content 2-6,3 µm (M %)
  • saturated conductivity (mm/d)
  • Not necessary but appreciated:
  • Soil water measurements (VOL%)
  • observations of C and N dynamics in soil
slide7

CREP-Flux

CANDY - C-N-Dynamics

Nitrogen turnover: linked to carbon mineralization according to the C/N-ratio of the respective fraction.

Long term stabilised carbon

slide8

Soil texture:

T+fS, Körschens (1980)

T, Rühlmann (1999)

Initialisation - estimation of long term stabilised carbon pool (\'inert pool‘ = CLTS)

organic carbon:

Long term stabilised carbon

Corg, Falloon (1998)

Soil structure, organic carbon:

CIPS, Kuka

slide9

{

PWP , bare soil

PWP*0.75 , with crop

Wmin=

CANDY - Soil water dynamics

surface runoff

infiltration

evapotranspiration

= f( PET, [W-Wmin],…)

capacity concept

air

availabale water

soil pore space

non available water

percolation = f( ks, [W-Wcap] )

 CANDY calculates daily changes of water, temperature, carbon and nitrogen

slide10

Trace gas measurement field and bare fallow

No calibration: using median soil parameters and the \'Körschens\' approach to calculate CLTS.

slide12

Trace gas measurement field and bare fallow

No calibration: using median soil parameters and the ‘Körschens’ approach to calculate CLTS.

No calibration:total organic Carbon is considered to be decomposable Carbon.

Calibration to soil moisture and Corg of bare fallow.

Calibration to soil moisture and Corg of bare fallow plus additional Carbon source.

slide15

Bare fallow

Sum of squares

Standard param. 0.034

Total Corg = dec. 0.139

Calibrated to b. f. 0.019

Sum of squares

Standard param. 1393

Total Corg = dec. 88258

Calibrated to b. f. 1987

slide16

Plant development of crop rotation

and 100 years NPK plot

Calibration to soil Corg and N-uptake of crop rotation.

Simulating the 100 years NPK plot.

Calibration to 100 years NPK plot.

slide17

Partial integration of the

SIMWASSER crop modell in CANDY

plant development

dry matter production

N-uptake

transpiration

LAI

h=f(DC)

d=f(DC)

slide19

Distributions of observed to simulated N-uptake

Calibration to crop rotation

Adapted TK TK

parameter crop r. 100 y.

Sugar beet 2.92 2.53

Potato 4.58 4.42

Spring barley 0.57 0.82

Winter wheat 1.77 1.14

Simulating the 100 years NPK plot

Calibration to 100 years NPK plot

slide20

Crop rotation and 100 years plots

Calibration to soil Corg and Nmin of crop rotation.

Simulating the 100 years plots 1, 6, 13, 18.

Calibration to soil moisture, Corg and Nmin of crop rotation.

Simulating the 100 years plots 1, 6, 13, 18.

slide21

Calibration to

crop rotation

Adapted Calib. Calib.

Parameters (1) (2)

dB 1.53 1.36

dM 2.77 2.73

FC - 29.3

PWP - 17.4

FP 24.5 27.0

CLTS-coefficient

(Körschens)0.055 0.055

C/NSOM 10.7 8.5

Sum of Calib. Calib.

squares (1) (2)

Corg0.042 0.042

Nmin 11799 7028

slide22

Simulation of

100 years plots

(1) Calibration to C, N

Sum of Calib. Calib.

squares (1) (2)

Plot 1 1.76 1.60

Plot 6 1.05 0.93

Plot 13 0.34 0.21

Plot 18 0.16 0.30

(2) Calibration to W, C, N

slide23

Conclusions

  • Decomposition of soil organic matter is not sufficient to explain the measured CO2 emission.
  • There must be an additional source for measured CO2.
  • In order to simulate N-uptake by plants, log term data set are not necessary.
  • Calibration to a short term dataset is not sufficient to simulate Corg changes resulting from different fertiliser variants for a 100 years period.
  • For the differentiation of the fertiliser variants further parameters has to be adapted.
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