
Ecology
Code: 100988Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Microbiology | FB | 2 |
Contact lecturer
- Name :
- Rafael Poyatos Lopez
- Email :
- rafael.poyatos@uab.cat
Teaching staff
- Laura Roquer Beni
- Olga Boet Escarceller
Group languages
You can consult this information at the end of the document.
Prerequisites
Objectives
This course, taught in the second year of the degree, introduces students to the fundamental concepts, methods, and applications of ecology. It places particular emphasis on the relationships between organisms and their physical environment, the structure and dynamics of populations and communities, and the flows of matter and energy within communities and ecosystems. The course also applies these principles to the study of socially relevant case studies, including epidemiology, biological control, and global change.
The Ecology course provides the theoretical and practical foundations required for the compulsory course Microbial Ecology, which is taught during the same academic year. Its contents and learning outcomes are also closely related to those of the compulsory courses Plant Biology and Animal Biology (first year), Environmental Microbiology (third year), as well as the elective courses Soil Science and Applied Plant Physiology.
The main objective of the course is to provide students with the basic training required to understand the structure and functioning of natural systems across different levels of biological organization:
- Organisms: describe the relationships between living organisms and their environment, and understand the factors that determine species distribution.
- Populations: characterize the abundance of organisms using quantitative tools to analyse population structure and dynamics.
- Communities: understand interactions among species and analyse the composition, structure, and dynamics of ecological communities.
- Ecosystems: analyse and quantify the flows of matter and energy within ecosystems, which are fundamental processes for understanding the functioning of natural systems and the impacts of global change.
Learning outcomes
- CM05 (Evaluate the global dynamics of natural systems at different scales of analysis to provide innovative responses to societal demands and care for the environment.) Evaluate the global dynamics of natural systems at different scales of analysis to provide innovative responses to societal demands and care for the environment.
- CM06 (Integrate knowledge and skills from the field of biology, working individually and in groups, to prepare and present in writing or orally and publicly a scientific work.) Integrate knowledge and skills from the field of biology, working individually and in groups, to prepare and present in writing or orally and publicly a scientific work.
- KM09 (Describe the taxonomic, morphological and anatomical diversity of the main groups of living organisms and their position within ecosystems.) Describe the taxonomic, morphological and anatomical diversity of the main groups of living organisms and their position within ecosystems.
- SM08 (Interpret the bases of evolution and its relationship with the structure and operation of biological systems at all levels of organization.) Interpret the bases of evolution and its relationship with the structure and operation of biological systems at all levels of organization.
Contents
Part I. Organisms and populations
1. Introduction to ecology. Ecology and evolution
Definitions and historical development of ecology as a scientific discipline. Variability, natural selection and biological fitness. Adaptation: geographical and ecological perspective. Types of natural selection. Coevolution and speciation.
2. Organismal Responses to Environmental Factors
Types of responses to environmental factors. Conditions: responses of organisms at temperature. Resources: plant responses to the availability of light and water. Environment, habitat, species distribution area and biomes. Concept of ecological niche: fundamental niche and real niche.
3. Biological cycles and basic demographic parameters and processes
Unitary and modular organizations. Biological cycles. Reproductive effort and reproduction frequency. Methods for estimating population size.
4. Population dynamics models
Demographics and population dynamics. Basic demographic processes: birth rate, mortality, emigration and immigration. Exponential growth model. Effects of density on organisms and load capacity. Logistic growth model. The interpretation of r and K and ecological and evolutionary implications.
5. Structured population models
Age structure of a population. Life tables and survival curves. Survival parameters, net rate of reproduction, generation time. Projection of population size: Leslie and Lefkovitch matrices. Populations in space. Metapopulation models.
6. Interactions between species
Ecological interactions. Interspecific competition. Lotka and Volterra model for competition. Principle of competitive exclusion and displacement of characters. Predation. Ecological and evolutionary effects of predation. Parasites and parasitoids. Hosts as habitats. Evolution of the host-parasite system. Dynamics of the populations of parasites and hosts. Infection, basic reproductive rate and transmission threshold. Mutualism. Types of mutualisms. Simbiosis. Mutualistic networks.
Part II. Communities and ecosystems
7. Organization and structure of communities.
Definitions and approaches in the study of communities. Composition and structure of communities. Concept of biodiversity. Alpha, beta and gamma diversity. Diversity indices. Distributions of abundance. Communities in space: species-area relationship and island biogeography. Factors that determine diversity in communities.
8. Community dynamics.
Communities in time: succession and disturbance. Primary and secondary succession. Hypothesis of succession and climax. Mechanisms of succession. Patterns in succession. Predictive models of succession. Stability, resilience and alternative stable states.
9. Trophic Networks
Chains and trophic networks. Trophic levels. Characteristics of trophic networks. Trophic interactions: direct and indirect effects. Trophic cascades. Guilds and keystone species. Top-down and bottom-up regulation of communities. Applications.
10. Ecology of ecosystems and global change
General functioning of ecosystems. Primary production. Models of compartments and flows. Secondary production and decomposition. Energy transfer in ecosystems. Biogeochemical cycles in terrestrial and aquatic ecosystems. Global change.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Problem solving classes | 10 | 0.4 | CM06, KM09, SM08 |
| Class activities | 6 | 0.24 | CM05, CM06 |
| Theory classes | 29 | 1.16 | CM05, KM09, SM08 |
| Text reading | 15 | 0.6 | CM05, CM06 |
| Study | 45 | 1.8 | CM05, CM06, KM09, SM08 |
| Making a scientific poster | 16 | 0.64 | CM05, CM06, KM09, SM08 |
| Problem solving | 18 | 0.72 | CM06, KM09, SM08 |
| Meetings | 5 | 0.2 | CM05, CM06, KM09, SM08 |
- Lectures: the fundamental concepts and principles of the course will be presented, with particular emphasis on those that are more difficult for students to understand. Students will be provided with the core materials from the presentations prepared by the teaching staff. These lectures complement students' independent learning through reading and studying the recommended textbooks. Lectures may also include activities based on questions, discussions, or numerical exercises.
- Problem-solving sessions: numerical problems related to the contents of selected topics will be solved. These sessions may involve the complete solution of problems during class or the review and discussion of problems assigned to students in advance.
- Classroom practicals: activities based on the analysis of the scientific literature on a specific topic related to Ecology. These activities will result in the preparation and presentation of a scientific poster.
- Tutorials: tutorials will be held by appointment in the offices of the teaching staff. If required by the development of the course, particularly in relation to the exercises, some tutorial sessions may take place in the classroom at times and locations to be announced in due course.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Exam | 70% | 6 | 0.24 | CM05, KM09, SM08 |
| Problems and exercices | 30% | 0 | 0 | CM05, CM06 |
- The final grade for the course is based on two components:
(a) Theory grade, obtained as the average of the marks from the two mid-term examinations covering the two parts of the syllabus, or, where applicable, their corresponding resit examinations. The theory grade accounts for 70% of the final grade (35% for each mid-term examination).
(b) Classroom activities grade, which includes the mark obtained in the problem-solving component and the scientific poster activity. This grade accounts for 30% of the final grade.
- To pass the course, students must obtain a minimum grade of 4 in both the theory and the classroom activities components.
- When both the theory and classroom activities grades are equal to or higher than 4, the final course grade will be calculated by weighting the theory grade (70%) and the classroom activities grade (30%). The course is passed with a final grade of 5 or higher.
- If the theory grade is below 4, or if the final grade is below 5, any mid-term examination with a grade below 4 may be retaken on the official resit examination date (students will only be required to resit the failed mid-term examination(s)). The resit examination only affects the theory grade.
- The resit examination will follow the same format as the mid-term examinations (described below). Students must also obtain a minimum grade of 4 in the resit examination for it to be included in the calculation of the theory grade. The resit examination may not be used to improve the grades of students who have already passed both mid-term examinations or who have already obtained a final course grade of 5 or higher.
- In accordance with UAB regulations, students must have been assessed in activities representing at least two-thirds of the final course grade in order to be eligible for the resit examination. Students who have been assessed in activities accounting for less than 67% of the final course grade will receive a grade of "Not Assessable" (No Avaluable).
- Only the mid-term examinations are eligible for resit. The classroom activities component is not recoverable.
- The examinations may include different types of questions:
- Multiple-choice questions.
- Short-answer questions.
- Numerical problems or exercises.
- Essay or extended-response questions.
Single Assessment
- The single assessment consists of one comprehensive examination covering the entire theoretical syllabus of the course. The examination will include the same types of questions as those used in the continuous assessment examinations. The mark obtained in this examination accounts for 70% of the final course grade.
- The assessment of the remaining activities will follow the same procedures as in the continuous assessment system. The corresponding mark accounts for 30% of the final course grade.
- To pass the course under the single assessment system, students must obtain a minimum grade of 4 in both the comprehensive examination and the classroom activities component, as well as a final course grade of 5 or higher.
- For assignments or coursework, the same procedures as those used in the continuous assessment system will apply. Students opting for single assessment may submit all assessment activities on the same day as the comprehensive examination. The single assessment examination will take place on the same date as the final continuous assessment examination, and the same resit procedures will apply as in the continuous assessment system.
Use of Artificial Intelligence
- For this course, the use of Artificial Intelligence (AI) technologies is permitted only for support tasks, such as literature or information searches, text proofreading, and translation.
- Students may be required to clearly identify which parts of an academic task have been generated using AI, specify the tools used, and include a critical reflection on how these tools influenced both the process and the final outcome of the work.
- Failure to disclose the use of AI in an assessed activity will be considered a breach of academic integrity and may result in a partial or total reduction of the grade for that activity, or more severe disciplinary sanctions in serious cases.
- Any irregularity committed during an assessment activity (including academic fraud, plagiarism, or the improper use of Artificial Intelligence, unless such use is explicitly authorized in the course guide) that may lead to a significant alteration of the assessment outcome will result in a grade of 0 for that assessment activity. If the course guide establishes that obtaining a minimum grade in that assessment activity is a requirement to pass the course, or if multiple irregularities are committed in the assessment activities of the same course, the final grade for the course will be 0. In addition, disciplinary proceedings may be initiated against any student who commits any of these irregularities.
Bibliography
(* Relevant bibliography)
Begon M, Harper JL, Townsend CR (1999) Ecología. Omega, Barcelona.
*Begon M., Townsend C.R., Harper J.L. (2006) Ecology. From Individuals to Ecosystems (4ª ed.). Blackwell Publishing, Oxford
*Begon, M., Howarth, R.W. & Townsend, C.R. (2014) Essentials of Ecology, 4th Edition, Wiley.
Bonan, G. (2015) Ecological Climatology: Concepts and Applications, Cambridge University Press. https://bibcercador.uab.cat/permalink/34CSUC_UAB/rokuu2/cdi_proquest_miscellaneous_1803113449
Chapin III, F.S., Matson, P.A. & Vitousek, P. (2011) Principles of Terrestrial Ecosystem Ecology, Springer Science & Business Media. https://bibcercador.uab.cat/permalink/34CSUC_UAB/rokuu2/cdi_proquest_miscellaneous_1803113449
Eichhorn, M. (2016) Natural Systems: The Organisation of Life, John Wiley & Sons
Gotelli N. J. (2001) A primer of Ecology. (3º ed.). Sinauer Associates Inc.,Sunderland, Massachussets.
*Krebs, C.J. (2013) Ecology: The Experimental Analysis of Distribution and Abundance: Pearson New International Edition, Pearson Education.
Levin, S.A. ed. (2009) The Princeton guide of Ecology. Princeton University Press
Margalef R. (1986) Ecología (2ª ed), Omega, Barcelona
*Molles, Manuel C. Ecología : conceptos y aplicaciones / Manuel C. Molles. Madrid: McGraw-Hill Interamericana, 2006. https://bibcercador.uab.cat/permalink/34CSUC_UAB/1eqfv2p/alma991006608919706709
Odum E.P., Warret G.W. (2006) Fundamentos de Ecología (5ª ed.). Internacional
Pianka E.R. (2000) Evolutionary Ecology. 6th. ed. Addison Wesley Longman, San Francisco.
*Piñol J. & Martínez-Vilalta J. (2006) Ecología con números. Lynx, Bellaterra, Barcelona. https://ddd.uab.cat/record/225887/
Ricklefs R.E., Miller G.L. (2000) Ecology (4ª ed.). W.H. Freeman & Co., New York.
Schulze, E.-D., Beck, E., & Müller-Hohenstein, K. (2005). Plant Ecology. Springer Science & Business Media.https://bibcercador.uab.cat/permalink/34CSUC_UAB/rokuu2/cdi_proquest_miscellaneous_1803113449
Smith, T. M., and Robert Leo Smith. Ecología. 6a ed. Madrid: Addison Wesley, 2007. https://bibcercador.uab.cat/permalink/34CSUC_UAB/1eqfv2p/alma991008316199706709
Terradas, J. (2001) Ecología de la vegetación. Omega, Barcelona.
Software
- Simulation software: Ecología con números, https://ddd.uab.cat/record/225887/
- EcoEvo Apps, https://ecoevoapps.gitlab.io/
- Spreadsheets: Microsoft Excel, LibreOffice Calc
- R (https://www.r-project.org/) i Rstudio (https://posit.co/download/rstudio-desktop/)
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 72 | Catalan | first semester | afternoon |
| (PAUL) Classroom practices | 721 | Catalan | first semester | afternoon |
| (PAUL) Classroom practices | 722 | Catalan | first semester | afternoon |