ECTS credits ECTS credits: 3
ECTS Hours Rules/Memories Hours of tutorials: 3 Expository Class: 9 Interactive Classroom: 12 Total: 24
Use languages Spanish, Galician
Type: Ordinary subject Master’s Degree RD 1393/2007 - 822/2021
Departments: Plant Production and Engineering Projects
Areas: Plant Production
Center Higher Polytechnic Engineering School
Call: First Semester
Teaching: With teaching
Enrolment: Enrollable
Acquire a complete training on the various techniques and methodologies for estimating non-wood forest production and agroforestry systems in a European context, with emphasis on the interactions between understory and trees as a basis for the management of shrublands and woodlands understory.
Being able to select and use appropriate methodologies for the development of models that simulate the growth and evolution of forest ecosystems as well as non-wood forest production (mushrooms, resin, pine, etc.).
Models for understory-trees interactions. Productive approaches. Effect of silvicultural management on the composition and structure of the understory. Optimization of the composition of the understory and forest development. Dynamic of recovery in the understory after disturbances. Models for the production of non-wood products.
These contents will be developed according to the following syllabus:
Productive facets of agroforestry systems: the woodland, the herbaceous and the animal component.
Silvicultural management on the composition, structure and understory productivity.
SAFE management model (silvoarable systems).
Dynamic of recovery in the understory after disturbances.
Models for the production of non-timber forest products: mushrooms, resin, cork, pinyon.
BASIC BIBLIOGRAPHY
BRAVO et al. 2012. Growth and yield models in Spain: historical overview, contemporary examples and perspectives. Instituto Universitario de Investigación en Gestión Forestal Sostenible (Universidad de Valladolid-INIA), Unidad de Gestión Forestal Sostenible (Universidad de Santiago de Compostela). Grafistaff, S.L. 76 pp. ISBN: 978-84-615-7145-1
CALAMA R., TOMÉ M., SÁNCHEZ-GONZÁLEZ M., MIINA J., SPANOS K., PALAHÍ M. 2010. Modelling non wood products in Europe: a review. Forest Systems: 19(SI), 69-85
GRAVES AR, BURGESS PJ, LIAGRE F, TERREAUX JP, BORREL T, DUPRAZ C, PALMA JHN, HERZOG F. 2011. Farm-SAFE: the process of developing a plot- and farm-scale model of arable, forestry, and silvoarable economics 81(2).93-108.
GRAVES AR, BURGESS PJ, PALMA J, KEESMAN K, VAN DER WERF W, DUPRAZ C, VAN KEULEN H, HERZOG F, MAYUS M.2010. Implementation and calibration of the parameter-sparse Yield-SAFE model to predict production and land equivalent ratio in mixed tree and crop systems under two contrasting production situations in Europe. Ecological Modelling 221, (13-14).1744-1756.
KAREL J, KEESMAN A, GRAVES A, VAN DER WERF W, BURGESS PJ, PALMA JHN, DUPRAZ C, VAN KEULENB H 2011. A system identification approach for developing and parameterising an agroforestry system model under constrained availability of data, 26(12):1540-1553.
PALMA JHN, PAULO JA,TOMÉ M.2014. Carbon sequestration of modern Quercus suber L. silvoarable agroforestry systems in portugal: a YieldSAFE-based estimation. Agroforestry systems 88:791-801.
VAN DER WERF W, KEESMAN K, BURGESS PJ, GRAVES AR, PILBEAM D, INCOLL LD, METSELAAR K, MAYUS M, STAPPERS R, VAN KEULEN H, PALMA J DUPRAZ C. 2007. Yield-SAFE: a parameter-sparse process-based dynamic model for predicting resource capture, growth and production in agroforestry systems. Ecological Engineering 29: 419-433.
VÁZQUEZ-PIQUÉ J., PEREIRA H. 2008. ¿Qué hay que tener en cuenta para elaborar modelos de producción de corcho?: revisión bibliográfica y consideraciones estadísticas. Investigación Agraria: Sistemas y Recursos Forestales: 17(3), 199-215
COMPLEMENTARY BIBLIOGRAPHY
BONET J.A., COLINAS C., FISCHER C.R., MARTÍNEZ DE ARAGÓN J., MIINA J., PALAHÍ M., PUKKALA T., 2010. Modelling the production and species richness of wild mushrooms in pine forests of Central Pyrenees in north-eastern Spain. Can J For Res 40, 347-356
CALAMA R., GORDO F.J., MONTERO G., MUTKE S. 2008. An empirical ecological-type model for predicting stone pine (Pinus pinea L.) cone production in the Northern Plateau (Spain). For Ecol Manage 255, 660-673.
CALAMA SAINZ R., GARRIGA GARCÍA E., BACHILLER BACHILLER A., GORDO ALONSO J.,FINAT GÓMEZ F., MONTERO GONZÁLEZ G.2007. PINEA2: un modelo integrado para la gestión de las masas regulares de Pinus pinea L.. en la meseta norte Cuad Soc Esp Cienc For. 23: 147-152
FAIAS S. P. , PALMA J. H. N., BARREIRO S., PAULO J. A. , TOME M. 2012. Resource communication. sIMfLOR – platform for portuguese forest simulators. Forest Systems 21(3), 543-548
Students who pass this course will gain knowledge of:
COM6-08: The techniques and methodologies for estimating non-wood forest products and agroforestry systems.
In addition, they will be able to:
HAM6-07: Select appropriate methodologies and use the proper tools to develop models that simulate tree-understory interactions and non-wood forest product yields.
This course will contribute to the acquisition of the specialty competence:
CEM6-01: Ability to develop growth and yield models for forest systems and implement them in computer simulators to make predictions.
The course will be conducted following the distribution of hours in the classroom and of individual work of students which are indicated in the verification report of the degree.
The face-to face classes consist of 24 hours. Participatory lectures to be developed in the classroom by professors cover a total of 12 hours. The interactive teaching includes complementary activities in which professors monitor the oral presentation of work done by students (COM6-08, HAM6-07 and CEM6-01). With this type of teaching, teamwork and cooperative learning is promoted as it includes active discussion sessions (COM6-08, HAM6-07 and CEM6-01). The 12 hours that make up the interactive teaching also include computer management of existing models for non-wood forest production, prompting a type of learning based on the resolution of case studies (COM6-08, HAM6-07 and CEM6-01).These activities will allow students the development of the knowledge acquired through their personal work and the lectures. Attendance of students at the face-to-face sessions are mandatory.
Personal work of students consists of 48 hours of autonomous work. It covers reading and preparation of topics, preparing work for later oral presentation and discussion in class groups, as well as the prior preparation of computer lab classes and further work on them, and the study for assessment tests (COM6-08, HAM6-07 and CEM6-01).
The activities of teaching / learning will be largely supported by the Virtual tools available and managed by the Center for Learning Technologies (CETA) of the USC. It provides online teaching resources and support for exercises and cases to be solved by students and it allows a virtual track.
There are office hours at the student disposition that will allow to discuss, comment, clarify or resolve specific issues in relation to their tasks within the course (information gathering, test preparation, performance of reports ...). The student is encouraged to attend these hours and to contact the professor via email if it were convenient.
The evaluation system will include the following activities:
- student participation in classroom activities
- conducting case studies and questionnaires
- performing reports and their oral presentation and discussion
- written tests
Participation in lectures and in face-to-face interactive classes will be evaluated by the professors based on the degree and quality of student participation in the development and resolution of issues. The evaluation process will be continuous. Attendance at the face-to-face teaching is compulsory. The weight on the final grade of that activity will cover 20%.
Examples of competencies that students will be expected to acquire and that will be assessed include the following:COM6-08, HAM6-07, CEM6-01
Students delivery of reports and case studies should be made electronically (virtual USC) or on paper (which so requested) in the dates indicated by the professor or during the official calls. The oral presentation and discussion of the reports will be an essential requirement to pass the subject. Its weight in the final grade will be 40% and some examples of competencies that students should incorporate in this section are: COM6-08, HAM6-07, CEM6-01
Overcoming written tests will count 40% in the final grade. Examples of skills that students must incorporate and that will be evaluated are: COM6-08, HAM6-07, CEM6-01
Students will be entitled to two examination sessions (official calls) each academic year in the periods indicated in the academic program.
For cases of fraudulent completion of exercises or tests, the provisions of the "Regulations for evaluating the academic performance of students and reviewing grades" will apply.
Students who have been granted exemption from class attendance by the Degree Committee, in accordance with the provisions of the “Regulations on class attendance in official undergraduate and master’s degree programs at the University of Santiago de Compostela,” and the students taking the second exam session, must complete the assigned exercises, submit the required coursework as part of the assessment, and take the written exam, just like the rest of the students. Only attendance at the written exam and the grade review will be mandatory.
It is estimated about 48 hours in addition to the face-to-face classes. It includes the reading and preparation of syllabus, preparing reports and their later oral presentation and discussion in class groups, the prior preparation of computer lab classes and their further work, and the preparation of the evaluation tests.
Attending to the educational activities and to proceed with a daily and continuous dedication to the work done in the face-to-face classes. Office hours are recommended for any questions or need of clarification in any conceptual knowledge application. Consultation of suggested bibliography is recommended. It is valuable that students have ability to read English and to have extensive knowledge in forest botany, forestry and pasture management
María Rosa Mosquera Losada
Coordinador/a- Department
- Plant Production and Engineering Projects
- Area
- Plant Production
- mrosa.mosquera.losada [at] usc.es
- Category
- Professor: University Professor
| Monday | |||
|---|---|---|---|
| 09:00-10:00 | Grupo /CLE_01 | Galician | Classroom 5 (Lecture room 2) |
| 10:00-11:00 | Grupo /CLIL_01 | Galician | Classroom 5 (Lecture room 2) |
| Tuesday | |||
| 09:00-10:00 | Grupo /CLE_01 | Galician | Classroom 5 (Lecture room 2) |
| 10:00-11:00 | Grupo /CLIL_01 | Galician | Classroom 5 (Lecture room 2) |
| Thursday | |||
| 11:00-12:00 | Grupo /CLE_01 | Galician | Classroom 5 (Lecture room 2) |
| 12:00-13:00 | Grupo /CLIL_01 | Galician | Classroom 5 (Lecture room 2) |