Contact
Åsa Berggren, professor
Department of Ecology, SLU
asa.berggren@slu.se +46 (0)18-672344
Department of Ecology, NJ, Landscape Ecology Unit
We arrange both courses and seminars. Take a look at our programme for 2025!
Aim: to provide students with a solid background in evolutionary theory and how evolutionary processes can interact with ecological processes to shape eco-evolutionary dynamics in applied situations.
Aim: Provide PhD students who have limited or no background in agricultural cropping systems, state-of-the-art knowledge about crop production. The course will present the origins of crops and cropping systems from different regions, for students to analyze the environmental impacts of the respective cropping systems and propose strategies to improve their sustainability using the SGD´s as a framework. The course intends to familiarize students with cropping systems that deliver a range of ecosystem services. By also connecting specific cropping systems knowledge with social, geographical and economic aspects – via a multi-disciplinary approach – this course encourages students to incorporate sustainable development concepts in their thinking.
Aim: to provide an in-depth overview of the basic methods for measuring and assessing growth and physiology of plants, and to give an overview of quantitative methods for the measurement of structural and functional plant properties (so called phenotyping) in modern phenotyping facilities. A special focus is on the current concepts and methodologies for the assessment of plant nutrient use efficiency in different agricultural and ecological contexts.
The aim of the workshop is to give insights, inspiration and useful tools for writing a thesis. Some of the topics covered are legal aspects regarding copyright, plagiarism and AI, efficient use of the thesis template, and discussions on “best practices” for writing a thesis.
Aim: To provide fundamental knowledge in community ecology, with a focus on community dynamics and mathematical modelling, experimental and time series analysis methods to address key questions in community ecology. It also provides insights in recent advances and discussions of lines of research in community ecology.
Aim: To give an overview and learn the basics on how to prepare and write a scientific paper for submission to an international, peer reviewed scientific journal. The emphasis of the course is to consider and become familiar with the process of writing, submitting and reviewing scientific papers and other forms of science communication. The course is based on both theory and practical applications of the writing and reviewing process and is an excellent introduction to scientific writing and reviewing for all PhD students.
Aims:
Aim: To illustrate the application of number of multivariate methods on ecological data. Ordination and classification procedures will be demonstrated in lectures and exercises: such as cluster analysis, correspondence analysis (CA), canonical correspondence analysis (CCA), redundancy analysis (RDA), principle components analysis (PCA), partial least square-analysis (PLS) and more. The course is given in two parts. Part 1 consists of lectures and calculation exercises, and part 2 is a supervised project on your own data. You can take either only part 1 (20-24 October), or the full course. Part 1 gives 3 credits, and the full course 4.5 credits. This course is supported by FoSW, Ecology and Organism Biology Research Schools
This course is developed for PhD students interested in fish and fisheries ecology. It is based on a series of seminars covering a broad range of research topics and activities of relevance in the field. The course is running includes a three-day IRL workshop (with field excursion) and 4 online seminars. The workshop, seminars, literature and preparation renders 3.0 credits (ECTS), which is 2 weeks full time studies. An important part of the course is that the topics discussed during the course has a clear link to the students’ PhD projects.
Purpose and objectives:
Aim: to help each student overcome the initial steep learning curve that is associated with learning R, and how to think in a structured and logical way to make programming using base R coding easier (includes data structures, base graphics, indexing information, loops and how to predict and extract information from statistical objects). This is a joint course from the Ecology + FoSW and Organism Biology research schools.
The course aims at improving the effectiveness of the scientific code you write by tapping into generally less utilized capabilities of R and its software ecosystem. In particular the course will teach you how to write more ordered code that can be easily reused and incorporated into other projects and to deal with the automation of data and code handling tasks. This will allow you to save time and handle bigger datasets.
These are 1 day workshops…keep your eyes open for future announcements and updates on when they are running!
Aim: How to plan and perform efficient communication using different methods and channels that can be used to reach different target groups.
Aim: Learn about what is required to apply for funds or positions, why you should do a post doc, and other things that may be important to consider. Invited researchers (about applications writing and reviewing) and former postdocs presenting information and their perspective based on their experience.
Aim: Do you want to pursue a career outside of academia? Have you asked yourself what possibilities you, as a PhD, have in the labor market outside of the university? Do you want to improve your chances of finding your dream job?
Aim: While communicating science to a lay audience can take many forms (public lectures, school activities, podcasts, video), popular science writing remains the foundation of science communication. This course is targeted at researchers who are interested in developing as science communicators and honing their skills in popular science writing “beyond the press release”
Åsa Berggren, professor
Department of Ecology, SLU
asa.berggren@slu.se +46 (0)18-672344