the effects of global warming to the agricultural yield
DESCRIPTION
The Effects of Global Warming to the Agricultural Yield. DURUCASU, Hasan LEZKİ, Şenay ÇOŞKUN, Duygu. Global Warming. Climate Change. Agricultural Map of Turkey. Agricultural Products. Wheat is commonly cultivated plant with a frequency of 7 regions T omato cultivated in 5 regions - PowerPoint PPT PresentationTRANSCRIPT
April 22, 2023April 22, 2023 11
The Effects of Global Warming to the Agricultural Yield
DURUCASU, Hasan
LEZKİ, Şenay
ÇOŞKUN, Duygu
April 22, 2023April 22, 2023 22
Global WarmingGlobal Warming
April 22, 2023April 22, 2023 33
Climate ChangeClimate Change
April 22, 2023April 22, 2023 44
Agricultural Map of TurkeyAgricultural Map of Turkey
April 22, 2023April 22, 2023 55
Agricultural ProductsAgricultural Products
WheatWheat is is commonly cultivated plant with commonly cultivated plant with a frequency of 7 regionsa frequency of 7 regions
TTomatoomato cultivated in 5 regions cultivated in 5 regions SSugar beetugar beet cultivated in 4 regions cultivated in 4 regions HazelnutHazelnut cultivated in cultivated in 11 region region
April 22, 2023April 22, 2023 66
CClimate limate FFeatures eatures
Rainfall Rainfall (mm) (mm)
April 22, 2023April 22, 2023 77
CClimate limate FFeatures eatures
Rainfall Rainfall (mm)(mm) Snow cover Snow cover (cm) (cm)
April 22, 2023April 22, 2023 88
CClimate limate FFeatures eatures
Rainfall (mm)Rainfall (mm) Snow cover Snow cover (cm)(cm) Humidity Humidity (%)(%)
April 22, 2023April 22, 2023 99
CClimate limate FFeatures eatures
Rainfall (mm)Rainfall (mm) Snow cover (cm)Snow cover (cm) Humidity (%)Humidity (%) Air temperature Air temperature (°C)(°C)
April 22, 2023April 22, 2023 1010
CClimate limate FFeatures eatures
Rainfall (mm)Rainfall (mm) Snow cover (cm)Snow cover (cm) Humidity (%)Humidity (%) Air temperature Air temperature (°C)(°C) Soil temperature Soil temperature (°C)(°C)
April 22, 2023April 22, 2023 1111
Selected Meteorological VariablesSelected Meteorological Variables
April 22, 2023April 22, 2023 1212
RainfallRainfall
April 22, 2023April 22, 2023 1313
Snow coverSnow cover
April 22, 2023April 22, 2023 1414
HumidityHumidity
April 22, 2023April 22, 2023 1515
Air TemperatureAir Temperature
April 22, 2023April 22, 2023 1616
Soil TemperatureSoil Temperature
April 22, 2023April 22, 2023 1717
Meteorological VariablesMeteorological Variables
For each product,
Annual Averages of meteorological variables are considered just for the stations located in the determined agricultural regions
April 22, 2023April 22, 2023 1818
Selected Agricultural ProductsSelected Agricultural Products
April 22, 2023April 22, 2023 1919
Annual Wheat Production (MT)Annual Wheat Production (MT)
April 22, 2023April 22, 2023 2020
Annual Tomato Production (MT)Annual Tomato Production (MT)
April 22, 2023April 22, 2023 2121
Annual Sugar Beet Production (MT)Annual Sugar Beet Production (MT)
April 22, 2023April 22, 2023 2222
Annual Hazelnut Production (MT)Annual Hazelnut Production (MT)
April 22, 2023April 22, 2023 2323
DatabaseDatabase
April 22, 2023April 22, 2023 2424
Correlations Between Chosen Correlations Between Chosen Meteorological VariablesMeteorological Variables
April 22, 2023April 22, 2023 2525
Regression AnalysisRegression Analysis
54321 ,,,, xxxxx
55443322110 xxxxxy
543210 ,,,,,
Regression coefficients
Error
Explanatory variables
y Explained variable
April 22, 2023April 22, 2023 2626
Statistical Model for Statistical Model for Wheat Wheat ProductionProduction
The regression model is,The regression model is, WheatWheat = = 56315793 56315793
–– 100511 Rainfall 100511 Rainfall + + 487304 Snow Cover487304 Snow Cover – – 265082 Humidity 265082 Humidity +6441109 Air Temperature +6441109 Air Temperature ––6701124 Soil Temperature6701124 Soil Temperature
RR2=35.3% Anova p=0.042=35.3% Anova p=0.042
April 22, 2023April 22, 2023 2727
Statistical Model for Statistical Model for Sugar Beet Sugar Beet ProductionProduction
The regression model is,The regression model is, Sugar Beet = 123095987 Sugar Beet = 123095987
- - 124367 Rainfall 124367 Rainfall + + 331934 Snow Cover 331934 Snow Cover -- 80709 Humidity 80709 Humidity ++ 18066146 Air Temperature 18066146 Air Temperature - - 19211292 Soil Temperature19211292 Soil Temperature
RR22 == 68% 68% Anova p=0.000 Anova p=0.000
April 22, 2023April 22, 2023 2828
Statistical Model for Statistical Model for Tomato Tomato ProductionProduction
The regression model is,The regression model is, Tomato Tomato = - 75406988 = - 75406988
- - 49456 Rainfall 49456 Rainfall + + 196884 Snow Cover 196884 Snow Cover + + 493640 Humidity 493640 Humidity - 3255145 Air Temperature - 3255145 Air Temperature + 5929358 Soil Temperature+ 5929358 Soil Temperature
RR22 = = 39.7%39.7% Anova p= Anova p=0.0200.020
April 22, 2023April 22, 2023 2929
Statistical Model for Statistical Model for Hazelnut Hazelnut ProductionProduction
The regression model is,The regression model is, Hazelnut Hazelnut = - 1637064 = - 1637064
+ + 981 Rainfall 981 Rainfall - - 10371 Snow Cover 10371 Snow Cover + + 4429 Humidity 4429 Humidity + 155448 Air Temperature + 155448 Air Temperature - - 29431 Soil Temperature29431 Soil Temperature
RR22 = = 36.3%36.3% Anova p= Anova p= 0.0360.036
April 22, 2023April 22, 2023 3030
ConclusionConclusion
Meteorological factorsMeteorological factors Soil qualitySoil quality Seed qualitySeed quality FertilizationFertilization
April 22, 2023April 22, 2023 3131
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