Ecological Modeling

Code:

BIOL4038

Acronym:

BIOL4038

Keywords
Classification	Keyword
OFICIAL	Biology

Instance: 2017/2018 - 2S

Active?	Yes
Responsible unit:	Department of Biology
Course/CS Responsible:	Bioinformatics and Computational Biology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
E:BBC	3	PE_Bioinformatics and Computational Biology	1	-	6	42	162

Teaching language

Portuguese

Objectives

1. Understanding the usefulness and the limitations of ecological models in the analysis of modern environmental problems.
 
2. Understanding the steps in the construction of ecological models, and identifying the main data types and sources in ecological modeling.
 
3. Conceptualizing, calibrating, evaluating and spatializing ecological models for specific applications.
 
4. Implementing scenarios of environmental change and interpreting the predictions of models on ecological grounds.

Learning outcomes and competences

1. To identify situations in which ecological models may be applied.
 
2. To make informed judgment about the selection of methods and techniques for ecological modelling.
 
3. To analyze, interpret and apply results from ecological modelling routines.
 
4. To develop skills for communicating scientific results.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Non applicable.

Program

Introduction to ecological models.

Modern challenges in ecological and environmental sciences – the role of ecological models. Applications of ecological models.

Steps in the construction of ecological models. Conceptual models in support of model calibration. Stratifications and sampling design, data collection methods.

Predictive distribution models for species and habitats. Diversity of approaches and modelling techniques.

The study of biological communities through models: rationale, examples and applications.

Methods and tools in ecological modelling. The R software in ecological modelling. Introduction to the BIOMOD software package.

Calibration of ecological models. Evaluation of ecological models. Spatialization of ecological models. Scenarios and conflict dynamics.

Mandatory literature

Jorgensen, S.; Bendoricchio, G.; Fundamentals of ecological modelling, Elsevier, 2011
Soetaert K, Herman PMJ; A Practical Guide to Ecological Modelling. Using R as a Simulation Platform, Springer, 2009

Teaching methods and learning activities

The theoretical contents will be addressed through formal classes, using power-point presentations.

The practical component will include the elaboration by the students, using specific software, of practical projects on the development of ecological models, the implementation of scenarios and the ecological interpretation of model predictions.

keywords

Natural sciences > Environmental science > Global change
Natural sciences > Biological sciences > Biodiversity
Natural sciences > Environmental science > Ecology
Physical sciences > Mathematics > Applied mathematics > Biomathematics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	25,00
Trabalho escrito	25,00
Trabalho prático ou de projeto	50,00
Total:	100,00

Eligibility for exams

Frequency of the discipline classes under the law and regulations in force.

Obtain minimum rating (9.5 on a scale of 0 to 20, in accordance with regulations in force) in the overall evaluation (final exam + report + practical work).

Calculation formula of final grade

Final exam – 25% + Report – 25% + Practical work – 25% + Group work – 25%

Examinations or Special Assignments

Non applicable

Internship work/project

Non applicable

Special assessment (TE, DA, ...)

Non applicable

Classification improvement

Classification improvement is done according to law and regulations in force, in final exam.

Observations

Students that don’t speak Portuguese may be subjected to alternative forms of evaluation