280008 Natural Resource Sampling and Modelling

Details
Forest & Landscape
Earliest Possible Year
DurationOne block
 
Credits7.5 (ECTS)
Course LevelMSc
 
ExaminationFinal Examination

written examination


All aids allowed

Description of Examination: 24 hour written examination. On the date of the examination questions and data are available from 9.00 a.m. The material is (1) made available on the CampusNet, (2) sent to all students by e-mail and (3) can be picked up at the department, Rolighedsvej 23. It is the personal responsibility of each student to make sure that she/he has received the examination questions and all associated datasets. The next morning at 9.00 a.m all students must appear personally at the department, Rolighedsvej 23.

Weight: 100%



7-point scale, internal examiner
 
Organisation of TeachingPer week: lectures 4½ hours, classroom exercises 5½ hours, computer exercises 2 hours. One excursion.
 
Block PlacementBlock 1
Week Structure: B
The day and time of the excursion will be decided jointly by course participants and course responsible teacher and may include hours outside standard module hours (e.g. Friday afternoon).

 
Teaching LanguageEnglish
 
Optional Prerequisites210002 Mathematics and data processing
210005 Statistical Data Analysis 1
Or similar.
 
Areas of Competence the Course Will Address
Competences within basic science:
- Comprehends basic relationships between the biophysical environment, growth of individual organisms and populations, competition between organisms, and succession of ecosystems.

Competences within applied science:
- Can apply principles and methods from basic statistics in typical sampling and modelling situations in terrestrial environments.
- Can apply principles used for measuring typical variables in forest and nature to new situations.

Competences within ethics & values:
- Are able to discuss the relevance, reliability, validity and interpretation of empirical data and results obtained in particular contexts.
- Students should be able to quantify and model the state and production of forests and other terrestrial ecosystems, understand the limitations of such systems with respect to human utilisation and prepare guidelines for sustainable use.
 
Course Objectives
- To provide students with tools for sampling, modelling and interpreting information on structure and density of vegetation cover, land use, fauna and production of various products in terrestrial environments.
- To enable students to plan and implement minor inventories and field experiments and critically analyse and reflect on the reliability of empirical results.
- To enable students to decide and act on the basis of empirical evidence and prepare guidelines for sustainable management.
 
Course Contents
- Measurements in terrestrial environments (forest and nature); for individuals and populations of trees, shrubs, herbs and rare species; for fauna and geophysical site characteristics. The emphasis is on direct measurements but an introduction to applications of remote sensing techniques is given.
- Sampling methods and design, inventory planning and implementation, introduction to experimental design and practice.
- Practical application of statistical methods for analysis of data from inventories and experiments, data management, model choice and model validation.
- Relationships between physical environment (climate, soil, topography) and growth, competition and succession of biological systems in forest and nature.
- Modelling states and developments of - and relationships between - individuals, populations and systems in forest and nature.
- Models describing volume and biomass, growth and yield, size distributions, relationships between various measures on individuals and populations.
- Growth models working at various levels of detail: stand growth models, size-class models and individual-tree models.
- Introduction to systems models, including process models, CO2 models, gap models and landscape/ecosystem models.
- Use of quantitative methods, inventory results and models as the basis of sustainable management decisions and natural resource planning.
 
Teaching And Learning Methods
Theoretical considerations, models and methods are presented in lectures along with relevant examples. Implications of the theory are illustrated in exercises. Some of the exercises are intended for individual work; others are intended for group work. Some exercises are based on small datasets; others are based on extracts from real datasets that must be analysed using computers. During the course students will choose an empirical case, formulate a research question and conduct a small survey in groups of 3-5 persons. This work includes thorough planning of the sampling procedure and the subsequent analysis, sampling of data in the field (during an excursion), data analysis, interpretation of results and, finally, presentation of the results in plenum.
 
Learning Outcome
?
 
Course Litterature
Part of the course is based on scientific papers. Moreover, selected chapters of the following textbooks are included:
- Avery, Thomas Eugene & Harold E. Burkhart, 2001. Forest Measurements. Fifth Edition. McGraw-Hill Inc, New York. ISBN 0071130055.
- Bonham, Charles D. 1989. Measurements for Terrestrial Vegetation. John Wiley & Sons. New York. 338 p. ISBN 0471048801.
- Gadow, Klaus von & Gangying Hui, 1999. Modelling Forest Development. Kluwer Academic Publishers. Dordrecht. ISBN 0792354885.
- Husch, Bertram; Beers, Thomas W. & Kershaw, John A. Jr., 2003. Forest Mensuration. Fourth Edition. John Wiley & Sons, Inc., Hoboken, New Jersey. 443 p. ISBN 0471018503.
- Philip, Michael S., 1994. Measuring Trees and Forests. Second ed. CAB International, Wallingford. ISBN 0851988830.
- Vanclay, Jerome K., 1994. Modelling Forest Growth and Yield. Applications to Mixed Tropical Forests. CAB International, Wallingford. ISBN 0851989136.
 
Course Coordinator
Henrik Meilby, heme@life.ku.dk, Danish Centre for Forest, Landscape and Planning/Unit of Forestry, Phone: 35331740
 
Study Board
Study Committee NSN
 
Course Scope
lectures36
theoretical exercises56
preparation80
examination24
Excursions6
project work4

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