Degree | Type | Year | Semester |
---|---|---|---|
4313774 Land Ecology and Biodiversity Management | OB | 0 | 1 |
The course is based on a minimum knowledge of geographic information systems (GIS) and spatial analysis. An introductory course on GIS tools is recommended for those students lacking basic knowledge on theses subjects
There are online courses, such as the offered by the University of Alcalá de Henares (www.geogra.uah.es/gisweb/). On the other hand, the course will use the MiraMon software as basic GIS tool. Students of this course can have a free copy of the software through the website www.miramon.cat. Complementary MiraMon courses are regularly offered on the same website.
The spatial component is an essential element to understand the ecological processes at the population, community or landscape scales. It is of great relevance for terrestrial ecology and for the management and conservation of biodiversity. Evidence of this is the development, during the last decades, of the ecology of metapopulations, metacommunities and landscapes. These provide a theoretical framework for the analysis of species colonization and extinction and for understanding the effects of habitat fragmentation and of ecological connectivity loss on populations and communities.
Despite the importance of this spatial component, it is little considered in terrestrial ecology (and general ecology) courses, largely due to the historical scarcity of spatial data and methodological difficulties in their treatment. However, in recent years we have witnessed a revolution of methods and tools for the analysis of spatial processes, and the development of environmental map servers and spatially explicit biodiversity databases, many of them with online access. This opens a range of opportunities at both scientific and professional levels in terrestrial ecology and biodiversity management.
In line with these changes, the new degrees of biological and environmental sciences have incorporated courses of cartographic analysis in their curricula, which have significantly improved students' competencies for the treatment and analysis of spatial ecological processes. Therefore, we believe that the development of a spatial analysis module that combines advanced concepts and methods, shaped through a selection of case studies, is particularly appropriate.
Therefore, a mixed course is proposed, with theoretical and practical contents specified in a set of case studies. The first part will be devoted to the presentation of concepts of key spatial processes of disciplines such as metapopulation, metacommunity and landscape ecology. This theoretical part will be completed with a complete set of spatial analysis tools, including databases and geographic information systems (GIS). These tools will be used in a series of case studies and in a course work.
Course contents will be structured in the following groups*:
Basic concepts:
Tools and methods:
Study cases:
Course work:
Focused on some topics of spatial ecology and data provided by the professor
*Unless the requirements enforced by the health authorities demand a prioritization or reduction of these contents.
The teaching methodology* aims to achieve student training objectives that include both the acquisition of knowledge and training for continue studying (the so-called academic and professional skills). A set of learning strategies will be combined so that the student has an especially active role throughout his training process. Practical strategies are the predominant, in line with the focus of the subject.
1) Directed activities
2) Supervised activities
3) Autonomous activities
*The proposed teaching methodology may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Classroom practises | 6 | 0.24 | 7, 2, 5, 6 |
Course work | 6 | 0.24 | 7, 5, 6 |
Course work presentation | 1 | 0.04 | 7, 2, 5, 6 |
Exam | 1 | 0.04 | 7, 2, 5, 6 |
Lectures | 6 | 0.24 | 6 |
Sessions of problems and exercises | 15 | 0.6 | 3, 8, 7, 1, 2, 4, 5, 6 |
Type: Supervised | |||
Course work completion | 20 | 0.8 | 7, 2, 5, 6 |
Tutorial sessions | 5 | 0.2 | 3, 8, 7, 1, 2, 4, 5, 6 |
Type: Autonomous | |||
Personal study | 53 | 2.12 | 3, 8, 7, 1, 2, 4, 5, 6 |
Evaluation activities are the following*:
Delivery and oral defense of works (50% of the grade). The subject has an eminently practical nature, which must be translated into an especially important weight of evaluation activities related to this part. This evaluation will be carried out through a work partly developed under the direction of the teacher and partly outside the classroom, with supervision of the latter. Students will be organized in groups of 4-5 people and choose a topic related to space ecology and proposed by the teacher. The work will include a tutoring with the teacher, which will be the subject of a first formative evaluation. Subsequently, the work will be presented in class and delivered to the teacher in memory form for evaluation. The final grade of the work will be obtained from the preliminary tutoring (30% of the grade), the presentation in class (30%) and the memory (40%).
Exam (30% of the grade). It can include three types of questions:
Class attendance and active participation (20% of the grade). Due to the eminently practical nature of the subject, regular class attendance and active participation are very important, and will be subjected to continuous evaluation throughout the course.
Definition of "approved": A student with an average grade equal to or greater than 5 will be considered approved
Definition of "not evaluated": A student will not be considered for evaluation if the evaluation of all the evaluation activities carried out does not allow him to reach the overall rating of 5 if he had obtained the highest score in all of them.
*Student’s assessment may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Class attendance and active participation | 20 | 35 | 1.4 | 3, 8, 7, 1, 2, 4, 5, 6 |
Delivery and oral defense of works | 50 | 1 | 0.04 | 3, 8, 7, 1, 2, 4, 5, 6 |
Exam | 30 | 1 | 0.04 | 2, 5, 6 |
References:
Fortin, M.J. & Dale M. Spatial Analysis. A guide for ecologists. Cambridge University Press, Cambridge (2005).
Maestre, F., Escudero, A. & Bonet , A. Introducción al Análisi de Datos en Ecología. Universidad Rey Juan Carlos, Madrid (2008).
Collinge, S. K. Ecology of Fragmented Landscapes. Baltimore, MD: Johns Hopkins University Press (2009).
Collinge, S. (2010) Spatial Ecology and Conservation. Nature Education Knowledge 3(10):69
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E. and Yates, C. J. (2011), A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17: 43-57.
Forman, R. T. T. & Godron, M. Landscape ecology. New York, NY: Wiley (1986).
Hanski, I. & Gilpin, M. E. eds. Metapopulation Biology. San Diego, CA: Academic Press (1997).
Holyoak, M., Leibold, M. A. et al. eds. Metacommunities: Spatial Dynamics and Ecological Communities. Chicago, IL: University of Chicago Press (2005).
Leibold, M. A., Holyoak, M. et al. (2005). The metacommunity concept: a framework for multi-scale community ecology. Ecology Letters 7, 601-613.
Pickett, S. T. A. & White, P. S. The ecology of natural disturbance and patch dynamics. New York, NY: Academic Press (1985)
Saura, S. & J. Torné (2009). Conefor Sensinode 2.2: a software package for quantifying the importance of habitat patches for landscape connectivity. Environmental Modelling & Software 24: 135-139
Tilman, D. & Kariava, P. eds. Spatial ecology: the role of space in population dynamics and interspecific interactions. Princeton, NJ: Princeton University Press (1997)
Turner, M. G. ed. Landscape heterogeneity and disturbance. New York, NY: Springer-Verlag (1987)
Links:
www.umass.edu/landeco/research/fragstats/fragstats.html
www.passagesoftware.net/
www.conefor.org/
www.miramon.cat
https://biodiversityinformatics.amnh.org/open_source/maxent/