6 out of 12
ECOLOGY I AND LABORATORY OF ECOLOGICAL METHODS
Bachelor's Degree Programme
Educational sector code
Contribution of the course to the overall degree programme goals
The course provides the knowledge of general ecology essential for the achievement of the learning goals of the graduate program in Environmental Sciences. In particular, the module of "Ecology I" contributes to providing the necessary conceptual and methodological bases:
- for the study of the relationships between living organisms and their environment;
- for understanding the role of organisms in communities and ecosystems;
- to interpret the complexity of mechanisms that govern the functioning of natural ecosystems, both aquatic and terrestrial.
Expected learning outcomes
Ecology, by definition, is the study of the relationships between living organisms and their environment. Actually, it is a complex scientific discipline, articulated in different subdisciplines, each one characterized by specific approaches and methods of investigation. The course of "Ecology I and Laboratory of Methods of Analysis of Ecological Systems" aims to provide both the basic knowledge of general ecology and an introduction to the main ecological sub-disciplines. The study of ecology is in fact addressed to different levels (individual. population, community, ecosystem and landscape). In particular, the conceptual bases are provided for understanding the adaptations of plant and animal organisms to the environment, the factors that regulate the spatial distribution of species and population growth, the role of biological interactions in determining the structure of communities and the functioning of ecosystems, the role of the disturbance in determining ecological dynamics. Finally, the course aims to contribute to the acquisition by the student of the knowledge necessary for the assessment and management of environmental systems, in a perspective of conservation, enhancement and restoration of ecosystems and natural processes. The course also provides an introduction to the methods used to collect and analyze ecological data.
Basic knowledge of animal biology and plant biology.
Planning of ecological data recording. Sampling, analysis and interpretation of ecological data. Estimates of abundance: the sampling square method; the sampling unit. Population dispersion models. Aquatic ecosystems: methods of studying plankton, benthos and necton. Population level: methods for estimating the size of fish populations: recapture marking; multiple catches with removal; determination of individual age; length-weight regression and somatic condition indices. Community level: analysis of lagoon fish communities; analysis of planktonic communities and coastal marine bentoncihe; analysis of macrobenthic communities of running waters. Imagers and biological indices: the extended biotic index (IBE).
Slides of lessons and other learning materials
- Cain L.C., Bowman W.D., Hacker S.D., 2017. Ecologia. Piccin Nuova Libraria S.p.A., Padova.
- Thomas M. Smith, Robert Leo Smith - Elementi di ecologia. Pearson Italia, Milano, Torino
- Henderson P.A., 2003. Pratical methods in ecology. Wiley-Blackwell, 163 pp.
The assessment of learning is carried out by means of a written exam consisting of questions that provide for the choice between multiple answers, questions that require an answer in full and the carryng out of two exercises. The questions with a choice of answer and those with an answer in full, aimed at assessing the level of learning of the topics of general ecology addressed during the course, contribute for a maximum of 6/30 and 9/30 to the final evaluation respectively. The exercises, related to the methodological part of the course and to the laboratory work, contribute to the final evaluation for a maximum of 15/30.
The course is organized in lectures and in laboratory work. The "Ecology I" module consists of lectures that address the main topics of ecology at the levels of individual, population, community and ecosystem and ecological landscape. The lectures can be integrated with specialized seminars. The slides used for lessons will be made available on the online platform. The laboratory activity consists of both practical experiences and numerical exercises.
Type of exam
2030 Agenda for Sustainable Development Goals
This subject deals with topics related to the macro-area "Natural capital and environmental quality" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development
Last update of the programme: 21/06/2019
If you close the banner, only essential cookies will be automatically activated
Ca' Foscari University of Venice, as part of its institutional aims and in fulfillment of the obligations set forth in article 13 of the EU Regulation 2016/679 ("Regulation"), gives you information regarding the processing of personal data collected by cookies and/or similar technologies when you visit the www.unive.it website (“Website”). Cookies are small pieces of information that a website sends to the user’s device where it is automatically stored and then sent back to the same website or to a third party every time that the website is visited using the same device.
In this notice, the term “cookie” will mean cookies as defined above as well as any other similar tracking technology used in the Website.
1. Data Controller
The data controller is Ca' Foscari University of Venice, with headquarters in Dorsoduro n. 3246, 30123 Venice (VE), legally represented by the Rector pro tempore.
2. Data Protection Officer
The University has appointed a "Data Protection Officer" ("DPO"), who can be contacted by writing to the email address: email@example.com or to the following address: Ca' Foscari University, Venice, Data Protection Officer, Dorsoduro n. 3246, 30123 Venice (VE).
3. Types of cookies, data collect, purposes and legal basis
The cookies used on the website are (please refer to the cookie list for specific information on each cookie):
essential cookies: cookies that are necessary to support the login system and the access to the “Personal Area” of the Website as well as to remember users’ cookie preferences. Personal data associated with these cookie is: user’s IP address, date and time of the visit, means of data transfer, requested resource, response, response size in byte, link connected to the user requesting the resource, user’s operating system, browser and device used. The legal basis for this processing activity is represented by art. 6.1.b) (“performance of a service asked by the data subject”) and art. 6.1.e) of the Regulation (“execution of a task of public interest or connected to the exercise of public powers''). Being the University is a public body and it is required to have a website where the users can find useful information on its activities (artt. 53 e 54 D.lgs. n. 82/2005). Is not possible to disable these cookies through the banner, as this action will have a negative effect on your navigation of the Website.
analytics cookies (firs party): cookies that collect aggregated and statistical data on the navigation of the Website aimed at measuring the number of visits for each page of the Websites as well as the performance and the usability of the Website. The analytics cookies used on the Website are set by the University. Personal data associated with these cookies is: User IP, browser language, average visit time, page actions (downloads, outlinks), first visit, last visit, device used, ecc. The legal basis for this processing activity is represented by art. 6.1.e) of the Regulation (“execution of a task of public interest or connected to the exercise of public powers''), as the University aims at collecting statistical data on the visits of its Website pages especially with regards to the pages of “Amministrazione Trasparente”. Is not possible to disable these cookies through the banner, as this action will have a negative effect on your navigation of the Website.
third party cookies (social media): these cookies are set by third parties that collect the data in order to analyze the navigation and the preferences of the users. On the website, there are cookies set by Google namely Google-Youtube that allow users to watch Youtube videos on the Website and the University to measure the performance of its communication campaigns. These cookies are managed by Google and the University only processes anonymous and statistical information collected by them, who act as joint controllers on the basis of the CJEU ruling n. C-210/16 (5 June 2018). The legal basis for this processing activity is represented by art. 6.1.a) of the Regulation (“consent of the data subject''). The first time you land on the Website, a banner pops up asking whether you consent to enable these cookies. If you do not consent or withdraw consent at a later time through the “click here to change your cookie preferences” button, this will have no effect on your navigation.
You can always manage your cookie preferences through the browser setting. If you disable all cookies, please note that some activities on the website will not be possible anymore (i.e. the ones on the pages accessible in the Personal Area). To find out more on how to manage cookies through browser settings, please visit:
The processing of personal data will be carried out by authorized employees (in compliance with Article 29 of the Regulation and art. 2-quaterdecies of D. lgs. 196/2003), with the use of computerized procedures, adopting appropriate technical and organizational measures to protect them from unauthorized or illegal access, destruction, loss of integrity and confidentiality, even if accidental in nature.
5. Data retention
For information on the retention period of each cookie, please refer to the list below.
6. Recipients and categories of recipients of personal data and data transfer outside the European Economic Area
For the purposes set out above, in addition to specifically authorized employees and collaborators of the University, personal data may also be processed by those who execute outsourced activities on behalf of the University in their capacity as data processors (the updated list is available at: https://www.unive.it/pag/36643/).
Personal data collected by third party cookies may be transferred outside the European Economic Area (EEA) in compliance with the provisions of the Regulation.
7. Data subjects rights and how to exercise them
As a data subject, you have the right to obtain from the University, in the cases provided for by the Regulation, the access, the rectification and the erasure of your personal data as well as ask for the limitation of the processing of your personal data or to object to the data processing itself (articles 15 and following of the Regulation). The request can be submitted, without any particular formal procedures, by contacting the Data Protection Officer directly at firstname.lastname@example.org or by sending a communication to the following address: Ca' Foscari University of Venice - Data Protection Officer, Dorsoduro 3246, 30123 Venice. Alternatively, you can contact the Data Controller, by writing a PEC (certified email) to email@example.com.
Data subjects, who believe that the processing of their personal data is in violation of the provisions of the Regulation, have the right to file a complaint with the Data Protection Authority, as provided for by art. 77 of the Regulation, or to take legal action (art. 79 of the Regulation).
Appendix on social media:
In addition to the privacy notice published at: www.unive.it/pag/29567, the University provides you with information on the processing of your personal data collected through its social media pages (Facebook, Instagram). In particular, the University only processes anonymous and statistical information collected by the social media providers, who act as joint controllers on the basis of the CJEU ruling n. C-210/16 (5 June 2018). Moreover, the University informs you that when you leave a comment or a post on its social media pages, it will process your data only to administer your request/comment.
Last updated: 27/07/2022
List of cookies
Last update of the list of cookies: 22/12/2022
They maintain the session data of the SingleSignOn.