Environmental and biodiversity management

"General linear models with 1 or more random explanatory variables: from the translation of the figure that answers the biological question to the statistical model, i.e. taking into account numerous effects and knowing how to interpret them.

general properties seen through regression and 1-factor ANOVA (R2, F, ddl, least squares, likelihood, diagnosis, validation, goodness of fit, interpretation of effect sizes); nested and cross-factor ANOVA, multiple regression (notion of parameter and effects, and interaction)

incorporation of the dependence of explanatory random variables, confounding of effects (quantitative for multiple regression, and unbalanced designs for ANOVAs)".

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This course is taught entirely in English. Its aim is twofold: 

1. Enable students to improve their oral expression and comprehension in English 

2. Enable students to enrich their vocabulary in the field of ecology of particular interest to them (e.g. marine ecology, terrestrial ecology).  

Practical exercises: oral presentations by students, videos in English with English subtitles, quizzes, games.   

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Generalized linear mixed models + methodology and experimental protocols to take account of biological reality: non-normal distribution and pseudo-replication

Protocol optimization, power and uncontrolled 1st order risk: variable transformation, polynomial regression, link function, likelihood, model selection

Deviance analysis and goodness of fit

Incorporation of blocks, repeated measurements over time, consideration of spatial and temporal correlation, over-dispersion

Graphical representation of predictions.

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The aim of this course is to provide the statistical foundations needed to follow all the more advanced modules in the curriculum, so it's a general refresher. Descriptive statistics are reviewed (quantile, cumulative frequency polygon, sample estimators), simple tests are introduced, essential graphs for univariate and multivariate data are presented, the general principle of a statistical test, hypothesis design, the notion of p-value, first and second species risk are presented. In practical exercises, students are also brought up to speed in the R environment.

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The M1 internship lasts a minimum of 4.5 months and a maximum of 6 months full-time (from mid-March to the end of August at the latest).
Students must be proactive in their search for an internship.
The internship is validated by the educational tutor on the basis of its relevance to the student's career plan.
Each student is supervised during the internship by an educational tutor.
Internships can take place in France or abroad.
The internship takes place in a professional organization, and is subject to an internship agreement issued by the UM.

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At the end of this course, students will have acquired the basic knowledge needed to prepare and carry out a scientific communication operation adapted to a target audience, both orally and in writing.

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This teaching unit is entirely based on practical work focusing on the creation and management of web pages and the knowledge, use and animation of social networks in scientific communication.

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A teaching unit designed to link theoretical ecology, its operational implementation and territorial issues as seen by society's stakeholders. Based on a format combining theoretical lectures with a reminder of the elements needed to understand issues in the field (ecosystem dynamics, anthropization, socio-ecosystem resilience, in situ conservation, etc.), this unit comprises several field blocks (each consisting of a preparatory TD/TP and an "active" field trip). The territories visited will provide an opportunity to meet social players (managers, elected representatives, associations, shepherds, etc.) whose position enables us to understand how ecological issues govern their actions, and how in turn their actions impact biodiversity, its dynamics and its distribution.

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-Definition of the broad outlines of an integrated coastal zone management project and the methodological approach to be adopted.

-Description of partners (government agencies, professional fisheries bodies, etc.) and how they operate

-Discover and use project management and planning tools

Practical application to a real-life case.

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The EU's general introduction lays the conceptual foundations for ecological rehabilitation and restoration and the resilience of ecosystems and aquatic environments.
The concepts of ecological and hydrological continuity, river morphology and hydrogeomorphology are explained and illustrated.
A field trip provides an opportunity to analyze the issues at stake, establish operating hypotheses and assess impacts.
Practical exercises are preferably directly linked to the field.
The main tools and know-how for reintroducing species are presented and accompanied by illustrative practical exercises:
- Animal model practical exercise: reintroducing a population of vultures
- Plant model practical exercise: transplanting.
- TP ripisylve: and notion of turquoise screen
The main impacts of soil sealing and interventions on aquatic environments (maintenance and development) and the methods for assessing these impacts, accompanied by illustrative TP:
- TP loi sur l'eau: assessing the impacts of soil sealing and hydrological compensation.
- Hydrogeomorphological practical work: analysis of historical and current hydraulic continuity.
Last but not least, this course enables students to compare ecological and hydrological continuity, and to discuss ways of optimizing restoration.

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"This module introduces table management and the link between multivariate and univariate: matrix manipulation and common operations; notion of projection and distance; translation of descriptive and univariate statistics with multiple regression/ACP/AFD as an example; indices of (dis)similarity, distance; correlation".

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This teaching unit is entirely based on practical work in the fields of computer graphics (designing and producing diagrams using vector graphics software) and page layout (designing and producing a poster, article or booklet using desktop publishing software).

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