Applied Agrometeorology in a Changing Climate
A.Y. 2023/2024
Learning objectives
1) Quantify the environmental resources and limitations (solar radiation, temperature, precipitation) that characterise agricultural production.
2) Apply simulation models of plant response to different environmental conditions (phenological modeling, definition of light interception by the plant, quantification of environmental resources useful for the development of the plant, quantification of environmental stress conditions).
3) Define the anomaly levels of meteorological and derived biological variables by means of suitable statistical analysis methodologies (trends, discontinuities, frequency analysis) in order to characterise the growing seasons in the specific climate context.
4) Characterizing through the above described interpretive techniques, the agricultural contexts at the different scales (from the individual field to the company to the consortium, up to the largest territorial scales).
2) Apply simulation models of plant response to different environmental conditions (phenological modeling, definition of light interception by the plant, quantification of environmental resources useful for the development of the plant, quantification of environmental stress conditions).
3) Define the anomaly levels of meteorological and derived biological variables by means of suitable statistical analysis methodologies (trends, discontinuities, frequency analysis) in order to characterise the growing seasons in the specific climate context.
4) Characterizing through the above described interpretive techniques, the agricultural contexts at the different scales (from the individual field to the company to the consortium, up to the largest territorial scales).
Expected learning outcomes
Students will be able to master the fundamental theoretical notions for understanding the climate system and its interaction with agricultural production, with particular reference to climate change and its effects on the agricultural sector.
With reference to the theoretical part, the students will be able to:
- Analyse and interpret meteorological time-series, defining the levels of anomaly
- Quantify the environmental resources and limitations for agricultural production, by means of interpretative models
- characterise the features of the growing seasons in the specific climate contexts
- characterise, by means of the above described interpretative techniques, different agricultural contexts at different scales, from the individual field to the farm to the consortium, up to the wider territorial scales.
Students will be able to:
- make quantitative assessments of the environmental potentials and limitations to agricultural production of a specific study area, with reference to different spatial scales
- Quantitatively analyze the behaviour of the single agricultural season, in comparison with the climate reference period, in order to highlight the seasonal main features and definitine the most appropriate adaptation strategies.
Students will gain technical skills and the appropriate terminology for professional activities. The team exercise will end with a report of critical analysis of the results obtained, in order to develop the communicative skills useful for the profession.
With reference to the theoretical part, the students will be able to:
- Analyse and interpret meteorological time-series, defining the levels of anomaly
- Quantify the environmental resources and limitations for agricultural production, by means of interpretative models
- characterise the features of the growing seasons in the specific climate contexts
- characterise, by means of the above described interpretative techniques, different agricultural contexts at different scales, from the individual field to the farm to the consortium, up to the wider territorial scales.
Students will be able to:
- make quantitative assessments of the environmental potentials and limitations to agricultural production of a specific study area, with reference to different spatial scales
- Quantitatively analyze the behaviour of the single agricultural season, in comparison with the climate reference period, in order to highlight the seasonal main features and definitine the most appropriate adaptation strategies.
Students will gain technical skills and the appropriate terminology for professional activities. The team exercise will end with a report of critical analysis of the results obtained, in order to develop the communicative skills useful for the profession.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
Part 1 - FUNDAMENTALS OF AGROMETEOROLOGY
the climate system
meteorology and climatology
the scales of atmospheric phenomena
thunderstorms and phoen
the measuring systems
the weather forecasts
EXPERIMENTAL LAB
the measured data - quality, reconstruction, spatialization
Statistical tools for climatological analysis
Basic territorial analysis tool using GIS applications
Part 2 - ATMOSPHERIC DRIVING VARIABLES IN RELATION TO AGRICULTURAL PRODUCTION
Modelling approach to agroecosystems and agricultural productions
Thermal resources and limitations
Phenological modeling
Water resources and limitations - water balances
The agrometeorological zonation at different scales
EXPERIMENTAL LAB
Development and application of interpretative models of environmental resources and limitations at different scales
Statistical tools for agrometeorological analysis
Part 3 - CLIMATE CHANGE AND AGRICULTURAL PRODUCTION
Climate change and its effects on agriculture
Climate scenarios and their use in agriculture
Strategies of adaptation to climate change.
the climate system
meteorology and climatology
the scales of atmospheric phenomena
thunderstorms and phoen
the measuring systems
the weather forecasts
EXPERIMENTAL LAB
the measured data - quality, reconstruction, spatialization
Statistical tools for climatological analysis
Basic territorial analysis tool using GIS applications
Part 2 - ATMOSPHERIC DRIVING VARIABLES IN RELATION TO AGRICULTURAL PRODUCTION
Modelling approach to agroecosystems and agricultural productions
Thermal resources and limitations
Phenological modeling
Water resources and limitations - water balances
The agrometeorological zonation at different scales
EXPERIMENTAL LAB
Development and application of interpretative models of environmental resources and limitations at different scales
Statistical tools for agrometeorological analysis
Part 3 - CLIMATE CHANGE AND AGRICULTURAL PRODUCTION
Climate change and its effects on agriculture
Climate scenarios and their use in agriculture
Strategies of adaptation to climate change.
Prerequisites for admission
Adequate knowledge of mathematics and plant biology
Teaching methods
In presence unless otherwise specified
Single and group exercises, carried out through the use of specific software, provided to the student at the beginning of the class.
Single and group exercises, carried out through the use of specific software, provided to the student at the beginning of the class.
Teaching Resources
Teaching and bibliographic materials delivered by the teacher on the Moodle platform.
Assessment methods and Criteria
Grade in thirtieths
During the course, online tests and collective class discussion of the results
Team activity of agro-climatological analysis, applying the interpretative tools learned during the course - This activity determines a maximum 3/30 bonus for the final evaluation.
Final written test composed of:
Three open questions on the theoretical knowledge of agrometeorology (5/30 each)
Three numerical exercises on agroclimatological analysis (time series analysis and application of agrometeorological interpretative models) (5/30 each)
To pass the test, the student will have to obtain a satisfactory result in both the theoretical and practical parts
With regard to the theoretical part, the correct knowledge of the required notions, the use of the appropriate technical terminology and the expositive clarity will be evaluated.
With regard to the exercise part, the accuracy of the results, the correctness of the procedure and the clarity of the presentation will be assessed.
During the course, online tests and collective class discussion of the results
Team activity of agro-climatological analysis, applying the interpretative tools learned during the course - This activity determines a maximum 3/30 bonus for the final evaluation.
Final written test composed of:
Three open questions on the theoretical knowledge of agrometeorology (5/30 each)
Three numerical exercises on agroclimatological analysis (time series analysis and application of agrometeorological interpretative models) (5/30 each)
To pass the test, the student will have to obtain a satisfactory result in both the theoretical and practical parts
With regard to the theoretical part, the correct knowledge of the required notions, the use of the appropriate technical terminology and the expositive clarity will be evaluated.
With regard to the exercise part, the accuracy of the results, the correctness of the procedure and the clarity of the presentation will be assessed.
AGR/03 - ARBORICULTURE AND FRUITCULTURE - University credits: 5
Practicals: 16 hours
Lessons: 32 hours
Lessons: 32 hours
Professor:
Cola Gabriele
Professor(s)