Suchergebnis: Katalogdaten im Herbstsemester 2021
Umweltnaturwissenschaften Master  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
 Vertiefung in Wald- und Landschaftsmanagement | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Naturwissenschaftliche Grundlagen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 701-1613-01L | Advanced Landscape Research | W | 5 KP | 3G | J. Bolliger, M. Bürgi, U. Gimmi, M. Hunziker | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course introduces landscapes as socially perceived, spatially and temporally dynamic entities that are shaped by natural and societal factors. Concepts and qualitative and quantitative methods to study landscapes from an ecological, societal and historical perspective are presented. In a term paper students work on a landscape-related topic of their choice. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will: - learn about concepts and methods to quantify structural and functional connectivity in landscapes, particularly - be introduced to the topic of landscape genetics and its benefits and (current) limitations for applied conservation - learn about concepts and methods in scenario-based land-use change modelling - approach an understanding of landscape as perceived environment - learn about concepts of landscape preference and related measurement methods - understand the role of landscape for human well-being - be introduced into approaches of actively influencing attitudes and behavior as well as related scientific evaluation - make use of various historical sources to study landscapes and their dynamics - interpret landscapes as a result of ecological constraints and anthropogenic activities. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. Encompassing concepts and approaches - European Landscape Convention (ELC) - Ecosystem Services (ES): introduction and critical evaluation Thematic topics 2. Ecological approach: - green infrastructure (e.g., ecological conservation areas) - landscape connectivity - landscape genetics and management applications - concepts of specific quantitative methods: least cost paths, resistance surfaces, Circuitscape, networks (Conefor), land-use change models, various statistical methods 3. Social-science approach: - principle of landscape as perceived and connoted environment - theories on landscape preference and place identity - role of landscapes for recreation, health and well-being - intervention approaches for influencing attitudes and related behavior - methods of investigating the human-landscape relationship and evaluating interventions 4. Historical approach: - land use history of Switzerland (agricultural history, forest and woodland history) - historical legacies of land use in landscapes and ecosystems - historic-ecological approaches and applications 5. Land change science: - modelling future land-use (CLUE, other scenario-based models) - landscape functions and services | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts will be available in the course and for download | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic Landscape Ecology courses at Bachelor level | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1615-00L | Advanced Forest Pathology | W | 3 KP | 2G | S. Prospero | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In-depth understanding of concepts, insight into current research and experience with methods of Forest Pathology based on selected pathosystems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To know current biological and ecological research on selected diseases, to be able to comment on it and to understand the methods. To understand the dynamics of selected pathosystems and disturbance processes. To be able to diagnose tree diseases and injuries. To know forest protection strategies and to be able to comment on them. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Stress and disease, virulence and resistance, disease diagnosis and damage assessment, tree disease epidemiology, disease management, ecosystem pathology. Systems (examples): Air pollution and trees, endophytic fungi, mycorrhiza, wood decay, conifer- root rot, Phytophthora diseases, chestnut canker and its hypoviruses, urban trees, complex diseases, emerging diseases | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | no script, the ppt-presentations and specific articles will be made available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | among others: Edmonds, R.L., Agee, J.K., Gara, R.I. (2000): Forest Health and protection. Boston: Mc Graw-hill. Lundquist, J.E., Hamelin, R.C. (2005): Forest Pathology. From genes to landscapes. St. Paul, Minnesota: APS-Press. Tainter, F.H., Baker, F.A. (1996): principles of Forest pathology. New York: Wiley. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course is composed of introductory lectures, practical work, discussions and reading. The participants should have basic knowledge in forest pathology (corresponding to the course 701-0563-00 "Wald- und Baumkrankheiten, see teaching book of H. Butin: Tree diseases and disorders, Oxford University Press 1995. 252 pp.). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1644-00L | Mountain Forest Hydrology | W | 5 KP | 3G | J. W. Kirchner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course presents a process-based view of the hydrology, biogeochemistry, and geomorphology of mountain streams. Students learn how to integrate process knowledge, data, and models to understand how landscapes regulate the fluxes of water, sediment, nutrients, and pollutants in streams, and to anticipate how streams will respond to changes in land use, atmospheric deposition, and climate. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will have a broad understanding of the hydrological, biogeochemical, and geomorphological functioning of mountain catchments. They will practice using data and models to frame and test hypotheses about connections between streams and landscapes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Streams are integrated monitors of the health and functioning of their surrounding landscapes. Streams integrate the fluxes of water, solutes, and sediment from their contributing catchment area; thus they reflect the spatially integrated hydrological, ecophysiological, biogeochemical, and geomorphological processes in the surrounding landscape. At a practical level, there is a significant public interest in managing forested upland landscapes to provide a reliable supply of high-quality surface water and to minimize the risk of catastrophic flooding and debris flows, but the scientific background for such management advice is still evolving. Using a combination of lectures, field exercises, and data analysis, we explore the processes controlling the delivery of water, solutes, and sediment to streams, and how those processes are affected by changes in land cover, land use, and climate. We review the connections between process understanding and predictive modeling in these complex environmental systems. How well can we understand the processes controlling watershed-scale phenomena, and what uncertainties are unavoidable? What are the relative advantages of top-down versus bottom-up approaches? How much can "black box" analyses reveal about what is happening inside the black box? Conversely, can small-scale, micro-mechanistic approaches be successfully "scaled up" to predict whole-watershed behavior? Practical problems to be considered include the effects of land use, atmospheric deposition, and climate on streamflow, water quality, and sediment dynamics, illustrated with data from experimental watersheds in North America, Scandinavia, and Europe. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts will be available as they are developed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Recommended and required reading will be specified at the first class session (with possible modifications as the semester proceeds). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Ökosystemmanagement | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1631-00L | Foundations of Ecosystem Management  | W | 5 KP | 3G | J. Ghazoul, C. Garcia, J. Garcia Ulloa, A. Giger Dray | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course introduces the broad variety of conflicts that arise in projects focusing on sustainable management of natural resources. It explores case studies of ecosystem management approaches and considers their practicability, their achievements and possible barriers to their uptake. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students should be able to a) propose appropriate and realistic solutions to ecosystem management problems that integrate ecological, economic and social dimensions across relevant temporal and spatial scales. b) identify important stakeholders, their needs and interests, and the main conflicts that exist among them in the context of land and resource management. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Traditional management systems focus on extraction of natural resources, and their manipulation and governance. However, traditional management has frequently resulted in catastrophic failures such as, for example, the collapse of fish stocks and biodiversity loss. These failures have stimulated the development of alternative ‘ecosystem management’ approaches that emphasise the functionality of human-dominated systems. Inherent to such approaches are system-wide perspectives and a focus on ecological processes and services, multiple spatial and temporal scales, as well as the need to incorporate diverse stakeholder interests in decision making. Thus, ecosystem management is the science and practice of managing natural resources, biodiversity and ecological processes, to meet multiple demands of society. It can be local, regional or global in scope, and addresses critical issues in developed and developing countries relating to economic and environmental security and sustainability. This course provides an introduction to ecosystem management, and in particular the importance of integrating ecology into management systems to meet multiple societal demands. The course explores the extent to which human-managed terrestrial systems depend on underlying ecological processes, and the consequences of degradation of these processes for human welfare and environmental well-being. Building upon a theoretical foundation, the course will tackle issues in resource ecology and management, notably forests, agriculture and wild resources within the broader context of sustainability, biodiversity conservation and poverty alleviation or economic development. Case studies from tropical and temperate regions will be used to explore these issues. Dealing with ecological and economic uncertainty, and how this affects decision making, will be discussed. Strategies for conservation and management of terrestrial ecosystems will give consideration to landscape ecology, protected area systems, and community management, paying particular attention to alternative livelihood options and marketing strategies of common pool resources. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | No Script | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Chichilnisky, G. and Heal, G. (1998) Economic returns from the biosphere. Nature, 391: 629-630. Daily, G.C. (1997) Nature’s Services: Societal dependence on natural ecosystems. Island Press. Washington DC. Hindmarch, C. and Pienkowski, M. (2000) Land Management: The Hidden Costs. Blackwell Science. Millenium Ecosystem Assessment (2005) Ecosystems and Human Well-being: Synthesis. Island Press, Washington DC. Milner-Gulland, E.J. and Mace, R. (1998) Conservation of Biological Resources. Blackwell Science. Gunderson, L.H. and Holling, C.S. (2002) Panarchy: understanding transformations in human and natural systems. Island Press. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1635-00L | Multifunctional Forest Management | W | 5 KP | 2G | M. Lévesque, S. Zimmermann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Forests provide a variety of ecosystem goods and services. Multifunctional forest management attempts to control natural processes in a sustainable and near-natural way so that various requirements from the society can be met. Adaptivity to changing conditions (global changes), handling of conflicting goals and the development of alternative management strategies are of central importance. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | At the end of this course students will be able: - To describe forest management and silvicultural measures for enhancing forest resilience to climate change, increased disturbances, and invasive species, and evaluate their feasibility and effectiveness in various situations; - To concisely describe silvicultural options for the management of multifunctional forests and critically evaluate their feasibility and suitability; - To explain the various social expectations towards forest functions and their implications for multifunctional forest management and critically analyse conflicts and synergies resulting from different forest functions; - To carry out research on a given topic, identify relevant literature and present the results in a structured presentation and discuss the implications for forest management. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will cover important topics for the sustainable management of multifunctional forests and present silvicultural strategies to fulfil a variety of forest ecosystem goods and services. Current and future challenges of forest management will be presented. The course is structured into the following sub-topics: 1) Global change and adaptive forest management 2) Invasive species: implications and mitigation measures 3) Introduced tree species: risks and opportunities 4) Silvicultural and forest management options the provisioning of multi-dimensional ecosystem goods and services. 5) Challenges and silvicultural strategies for wood production. 6) Integrative and segregative forest management approaches for biodiversity conservation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | No class notes or text books Lecture presentations are available for download | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literature will be provided for the group presentations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Course language is English. Prerequisites: Sufficient English language skills In addition to the lectures, students need to attend 4 all-day field excursions. Excursion topics: Forest management and climate change, Nature-based silvicultural concepts; Soil protection and forest management; Continuous cover forestry. Participation at all 4 full-day excursions is a prerequisite for the credits. Excursions are held in English, German and French (some German and French knowledge is good to have). Additional field excursions focusing on the Swiss femelschlag system, the Plenter- and other uneven-aged systems will be offered during spring term in the optional course "Selected Topics of Multifunctional Forest Management". 9 all-day field trips will provide the possibility to consolidate theoretical knowledge, to apply it to real examples in the field, to discuss with forest practitioners and further consolidate what has been taught in this course. The additional course is an important part of the overall formation on forest management and is highly recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Entscheidungsfindung, Politik und Planung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1651-00L | Environmental Governance | W | 6 KP | 3G | E. Lieberherr | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course addresses environmental policies, focusing on new steering approaches, which are generally summarized as environmental governance. The course also provides students with tools to analyze environmental policy processes and assesses the key features of environmental governance by examining various practical environmental policy examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To understand how an environmental problem may (not) become a policy and explain political processes, using basic concepts and techniques from political science. To analyze the evolution as well as the key elements of environmental governance. To be able to identify the main challenges and opportunities for environmental governance and to critically discuss them with reference to various practical policy examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Improvements in environmental quality and sustainable management of natural resources cannot be achieved through technical solutions alone. The quality of the environment and the achievement of sustainable development strongly depend on human behavior and specifically the human uses of nature. To influence human behavior, we rely on public policies and other societal rules, which aim to steer the way humans use natural resources and their effects on the environment. Such steering can take place through government intervention alone. However, this often also involves governance, which includes the interplay between governmental and non-governmental actors, the use of diverse tools such as emission standards or financial incentives to steer actors' behavior and can occur at the local, regional, national or international level. In this course, we will address both the practical aspects of as well as the scientific debate on environmental governance. The course gives future environmental experts a strong basis to position themselves in the governance debate, which does not preclude government but rather involves a spectrum from government to governance. Key questions that this course seeks to answer: What are the core characteristics of environmental challenges from a policy perspective? What are key elements of 'environmental governance' and how legitimate and effective are these approaches in addressing persistent environmental challenges? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture slides and additional course material will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | We will mostly work with readings from the following books: - Carter, N. (2007). The politics of the environment: Ideas, activism, policy (2nd ed.). Cambridge: Cambridge University Press. - Hogl, K., Kvarda, E., Nordbeck, R., Pregernig, M. (Eds) (2012): Environmental Governance: The Challenge of Legitimacy and Effectiveness. Cheltenham: Edward Elgar Publishing Limited. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | A detailed course schedule will be made available at the beginning of the semester. During the lecture we will work with Moodle. We ask that all students register themselves on this platform before the lecture. We recommend that students have (a) three-years BSc education of a (technical) university; (b) successfully completed Bachelor introductory course to environmental policy (Entwicklungen nationaler Umweltpolitik (or equivalent)) and (c) familiarity with key issues in environmental policy and some fundamental knowledge of one social science or humanities discipline (political science, economics, sociology, history, psychology, philosophy) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Methoden und Werkzeuge | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1673-00L | Environmental Measurement Laboratory Number of participants limited to 24. Waiting list will be deleted September 24th, 2021. | W | 5 KP | 4G | P. U. Lehmann Grunder, A. Carminati | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Measurements are the sole judge of scientific truth and provide access to unpredictable information, enabling the characterization and monitoring of complex terrestrial systems. Based on lectures and field- and laboratory training, the students learn to apply modern methods to determine forest inventory parameters and to measure subsurface properties and processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students will be able to: - explain measurement principles that are used for characterization of landscapes and terrestrial systems - select appropriate measurement methods and sampling design to quantify key variables and processes above ground and in the subsurface - deploy sensors in the field - interpret collected laboratory and field data and report main conclusions deduced from measurements | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Week 1: Plant-Soil interactions – short introduction before sensor demonstration and installation in forest lab; Scholander pressure bomb (suction in leaves); LiCOR soil chamber Week 2: Lecture on Measurement Science, overview of water content and water potential sensors; data logging and data logger programming; tests in the lab Week 3: Introduction on soil physics; Field installation of sensors and field experiment; data collection for a few days; solar panel Week 4: Soil sampling in field lab including geoprobe measurements Week 5: Introduction on forest lab - Soil sampling in forest lab; root length density; Week 6: Lecture on geophysical methods on Subsurface Characterization: Basic principles of ERT, GPR, and EM; simple lab tests on effective resistivity Week 7: Demonstration and application of geophysical methods in the field Week 8: Lecture on plant soil relationship; connecting information below and above ground – data analysis Weeks 9 and 10: Forest characterization/ inventory: Principles of LiDAR; structures and features of the tree crowns, size/volume of the leaf area tree positions and diameters at breast height Weeks 11 and 12: Eddy covariance methods -Principles for field measurement of water vapor, carbon dioxide, and energy exchange between terrestrial surfaces and the atmosphere; Analysis of measured time series to determine evaporation rate and CO2-fluxes Week 13: Swiss Soil Monitoring networks – Monitoring of soil water content and potential; climate change and droughts Week 14: Global data – Global modeling and data interpretation; SoilGrids and OpenLandMap; exercises on Budyko analysis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lecture material will be online for registered students using moodle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The details of the schedule will be optimized based on the number of students; some blocks of the course will be offered as well to students of Environmental Engineering | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1679-00L | Landscape Modelling of Biodiversity: From Global Changes to Conservation | W | 5 KP | 3G | L. Pellissier, C. Graham, N. Zimmermann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course provides the student with the spatial tools to address societal challenges toward ensuring the sustainable use of terrestrial ecosystems and the conservation of biodiversity. Students learn theory, tools and models during a few introductory sessions and apply this knowledge to solve a practical problem in groups related to climate change, land use change and biodiversity conservation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students learn: - Theoretical foundations of the species ecological niche - Biodiversity concepts and global change impacts - Basic concepts of spatial (& macro-) ecology - Environmental impact assessment and planning - Advanced statistical methods (GLM, GAM, CART) and basic programming (loops, functions, advanced scripting) in the statistical environment R. - The use of GIS functionality in R | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. The basics: Introduction to the concept of the ecological niche, and biodiversity theories. Overview of the knowledge on expected biodiversity response to global changes and conservation planning methods. Introduction to the statistical methods of Generalized Linear (GLM) and Generalized Additive models (GAM), and Classification and Regression Trees (CART). Introduction to basic GIS and programming elements in the statistical environment R. 2. The class project: Students form groups of two, and each group solves a series of applied questions independently in R using the techniques taught in the introductory classes. The students then prepare a presentation and report of the obtained results that will be discussed during a mini-symposium. Each team choses one of the following topics for the class project: a) Linking climate change velocities to species' migration capacities b) Explaining and modelling land use change in Switzerland c) Explaining and modelling biodiversity changes in Switzerland d) Designing biodiversity conservation strategies under global changes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic knowledge in statistics (OLS regression, test statistics), and basic knowledge in geographic information science. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Wahlfächer | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Naturwissenschaftliche Grundlagen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1620-00L | Tree Genetics – Concepts and Applications | W | 3 KP | 2G | A. Rudow, P. Brang, F. Gugerli, C. Sperisen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Trees are important elements and drivers of ecosystem processes in forests and landscapes. Tree species diversity and intraspecific genetic diversity are relevant factors for continuous adaptation, required for a sustainable maintenance of forest products and services. Sustainable forest and landscape management under climate change has to take forest genetic resources into consideration. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The educational goals of the course are: To know basic concepts of evolution and molecular and quantitative methods of genetics. To understand the most relevant processes of gene flow, adaptation and species interactions, on the basis of ecological theories and case studies on forest tree species. To know management principles and instruments for the promotion and the conservation of forest genetic resources, with a view on application in practice. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course provides a comprehensive overview on concepts and applications of tree genetics and complements basic knowledge of biology, dendrology, forest ecology and forest management in the frame of forest and landscape management topics. It introduces concepts of evolution and genetic methods as foundations, explains the most important processes and drivers of gene flow and adaptation, including coevolutionary aspects of associated organisms, and shows relevant topics of the management of genetic resources from reproduction to conservation and monitoring. Theories and their application into practice are illustrated on behalf of case studies on forest tree species. Two full-day excursions illustrate the contents with exemplary objects, actors and applications in Switzerland. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Script: modular slide script (parts by each lecturer). Textbook: collection of accompanying or background articles according to detailed contents (to be defined). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Groover & Cronk (eds.), 2017: Comparative and Evolutionary Genomics of Angiosperm Trees. Springer. 366 p. Neale & Wheeler, 2019: The Conifers: Genomes, Variation and Evolution. Springer. 590 p. Hattemer & Ziehe, 2019: Erhaltung forstgenetischer Ressourcen. Grundlagen und Beispiele. Universitätsverlag Göttingen. 553 p. Holderegger & Segelbacher (eds.), 2016: Naturschutzgenetik. Haupt. 247 p. Pluess, Augustin & Brang (eds.), 2016: Wald im Klimawandel. Grundlagen für Adaptationsstrategien. (selected chapters 3.2, 5.2) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | No mandatory prerequisites. Basic knowledge of dendrology and forest ecology is advantageous and recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 751-5125-00L | Stable Isotope Ecology of Terrestrial Ecosystems Number of participants limited to 20. | W | 2 KP | 2G | R. A. Werner, N. Buchmann, A. Gessler, M. Lehmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides an overview about the applicability of stable isotopes (carbon 13C, nitrogen 15N, oxygen 18O and hydrogen 2H) to process-oriented ecological research. Topics focus on stable isotopes as indicators for the origin of pools and fluxes, partitioning of composite fluxes as well as to trace and integrate processes. In addition, students carry out a small project during lab sessions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be familiar with basic and advanced applications of stable isotopes in studies on plants, soils, water and trace gases, know the relevant approaches, concepts and recent results in stable isotope ecology, know how to combine classical and modern techniques to solve ecophysiological or ecological problems, learn to design, carry out and interpret a small IsoProject, practice to search and analyze literature as well as to give an oral presentation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The analyses of stable isotopes often provide insights into ecophysiological and ecological processes that otherwise would not be available with classical methods only. Stable isotopes proved useful to determine origin of pools and fluxes in ecosystems, to partition composite fluxes and to integrate processes spatially and temporally. This course will provide an introduction to the applicability of stable isotopes to ecological research questions. Topics will focus on carbon (13C), nitrogen (15N), oxygen (18O) and hydrogen (2H) at natural isotope abundance and tracer levels. Lectures will be supplemented by intensive laboratory sessions, short presentations by students and computer exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts will be available on the webpage of the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be discussed in class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is based on fundamental knowledge about plant ecophysiology, soil science, and ecology in general. Course will be taught in English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Ökosystemmanagement | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1453-00L | Ecological Assessment and Evaluation | W | 3 KP | 3G | F. Knaus | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course provides methods and tools for ecological evaluations dealing with nature conservation or landscape planning. It covers census methods, ecological criteria, indicators, indices and critically appraises objectivity and accuracy of the available methods, tools and procedures. Birds and plants are used as main example guiding through different case studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to: 1) critically consider biological data books and local, regional, and national inventories; 2) evaluate the validity of ecological criteria used in decision making processes; 3) critically appraise the handling of ecological data and criteria used in the process of evaluation 4) perform an ecological evaluation project from the field survey up to the descision making and planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Powerpoint slides are available on the webpage. Additional documents are handed out as copies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Basic literature and references are listed on the webpage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course structure changes between lecture parts, seminars and discussions. The didactic atmosphere is intended as working group. Suggested prerequisites for attending this course are skills and knowledge equivalent to those taught in the following ETH courses: - Pflanzen- und Vegetationsökologie - Systematische Botanik - Raum- und Regionalentwicklung - Naturschutz und Naturschutzbiologie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1645-00L | Forest Operations | W | 3 KP | 2G | H. Griess, J. Schweier | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The discipline of Forest operations is constantly challenged to find solutions for unique problems. Each forest site requires specific technological approaches and machinery based on given management goals and ecological and environmental circumstances. Various terrain types and soil conditions, harvesting costs and taking care of the workforce by creating safe working conditions are some of the a | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | In this course, students will learn to use a wide variety of approaches grounded in the natural sciences, engineering and technology to develop solutions tailored to unique challenges from the field of forest operations. The course is aimed at students who either plan an academic or professional career in the field of forest operations, or who will work at the interface between forest operations and the various related disciplines, such as forest ecosystem management and forestry in the wider sense. After participating in this course students will have acquired foundational knowledge of a wide variety of core elements in the field of forest operations: • The course will provide students with the ability to describe and differentiate site and stand conditions from an engineering perspective. • Students will gain an overview and good working knowledge of current technology used in forest operations in Switzerland and around the world. • Students will acquire the ability to assess the strength and weaknesses of the most commonly used equipment and analyze their suitability for a given set of environmental, economic and social factors. • Students will be able to combine different types of technology to create an optimal harvesting system for a given task, and assess a given system for its task specific suitability. • Participants will be able to assess the sustainability and potential short- and long-term impacts of harvesting systems under ecological, economic and social constraints. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Introduction • Historic overview • Scope of operation • Site and stand characteristics Timber harvesting • Logging methods • Felling methods • Motor-Manual felling methods o Falling and processing • Forest machine structure and function • Harvester Technology o Felling heads o Carriers for felling heads • Bunching • Mechanical processing • Loading equipment • Operating techniques Primary Transport Systems • Ground based o Common features o Skidder o Forwarder o Loader Forwarder • Cable yarding o Common features o Wire rope o Cable yarding systems o Operating techniques • Aerial o Common features o Operating techniques Winch-Assisted Harvesting Operations • Harvesting • Primary transport Loading Equipment Secondary transport • Truck configurations • Soil compaction and contamination • Riparian areas Forest Operations management • Ergonomics • Work Safety • Economic Aspects • Environmental impact assessment • Equipment selection Forest operations across the globe • New Zealand • North America o British Columbia, Canada o South-eastern U.S.A Specialized equipment for small scale forest operations Outlook into the future of forest operations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Published on Moodle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | 701-1544-00 Forest Access and Transportation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Entscheidungsfindung, Politik und Planung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0468-00L | Participatory Modeling in Integrated Landscape Development | W | 3 KP | 2G | E. Celio, N. Salliou | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture accompanies students into a participatory modelling process. We explore topics such as urban agriculture or climate-resilient city. Students will know participatory modelling tools as well as concepts and approaches related to it. Students elaborate the processes from questions to interactive operational models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | With this course, students … … know the phases of a participatory modelling process … are able to estimate in which case the involvement of stakeholders is necessary, hence are able to discuss advantages and disadvantages of stakeholder involvement at different levels of participation. … get to know diverse modelling tools and are able to select the proper tool according to the context. … are able to set-up and apply a functional model in a participatory manner on a real case study. … get to know techniques to analyse simulations and are able to inform stakeholders in an adequate way … are able to discuss results together with stakeholders in a structured way. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Methoden und Werkzeuge | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1316-00L | Physical Transport Processes in the Natural Environment | W | 3 KP | 2G | J. W. Kirchner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Fluid flows transport all manner of biologically important gases, nutrients, toxins, contaminants, spores and seeds, as well as a wide range of organisms themselves. This course explores the physics of fluids in the natural environment, with emphasis on the transport, dispersion, and mixing of solutes and entrained particles, and their implications for biological and biogeochemical processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will learn key concepts of fluid mechanics and how to apply them to environmental problems. Weekly exercises based on real-world data will develop core skills in analysis, interpretation, and problem-solving. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | dimensional analysis, similarity, and scaling solute transport in laminar and turbulent flows transport and dispersion in porous media transport of sediment (and adsorbed contaminants) by air and water anomalous dispersion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | The course is under development. Lecture materials will be distributed as they become available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1677-00L | Quantitative Vegetation Dynamics: Models from Tree to Globe | W | 3 KP | 3G | H. Lischke, U. Hiltner, B. Rohner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides hands-on experience with models of vegetation dynamics across temporal and spatial scales. The underlying principles, assets and trade-offs of the different approaches are introduced, and students work in a number of small projects with these models to gain first-hand experience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will - be able to understand, assess and evaluate the fundamental properties of dynamic systems using vegetation models as case studies - obtain an overview of dynamic modelling techniques from the individual plant to the global level - understand the basic assumptions of the various model types, which dictate the skill and limitations of the respective model - be able to work with such model types on their own - appreciate the methodological basis for impact assessments of future climate change and other environmental changes on ecosystems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Models of individuals - Deriving single-plant models from inventory measurements - Plant models based on 'first principles' Models at the stand scale - Simple approaches: matrix models - Competition for light and other resources as central mechanisms - Individual-based stand models: distance-dependent and distance-independent - Theoretical models Models at the landscape scale - Simple approaches: cellular automata - Dispersal and disturbances (windthrow, fire, bark beetles) as key mechanisms - Landscape models Global models - Sacrificing local detail to attain global coverage: processes and entities - Dynamic Global Vegetation Models (DGVMs) - DGVMs as components of Earth System Models | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts will be available in the course and for download | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be indicated at the beginning of the course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | - Basic training in modelling and systems analysis - Basic knowledge of programming, ideally in R - Good knowledge of general ecology, vegetation dynamics, and forest systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1682-00L | Dendroecology | W | 3 KP | 3G | C. Bigler, K. Treydte, G. von Arx | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Der Kurs Dendroökologie vermittelt theoretische und praktische Aspekte der Dendrochronologie. Die Bedeutung verschiedener Umwelteinflüsse auf Jahrringmerkmale wird aufgezeigt. Die Studierenden lernen unterschiedliche Methoden, um Jahrringe zu datieren und sie verstehen, wie ökologische und umweltbedingte Prozesse und Muster mit Hilfe von Jahrringen rekonstruiert werden können. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden... - verstehen, wie Holz aufgebaut ist und wie Jahrringstrukturen gebildet werden. - können verschiedene Jahrringmerkmale erkennen und beschreiben. - verstehen die theoretischen und praktischen Aspekte der Datierung von Jahrringen. - lernen Effekte unterschiedlicher abiotischer und biotischer Umwelteinflüsse (Klima, Standort, Konkurrenz, Insekten, Feuer, physikalisch-mechanische Einwirkungen) auf Bäume und Jahrringe kennen. - entdecken ein Werkzeug, um Prozesse der globalen Umweltveränderungen zu verstehen und zu rekonstruieren. - lernen Software für die Datierung, Standardisierung und Analyse von Jahrringen kennen. - erhalten praktische Erfahrungen durch die Veranschaulichung mit Hölzern (Bohrkerne, Stammscheiben, Keile), durch Probenahme im Feld und eigenes Messen und Datieren von Jahrringen im Jahrringlabor. - lösen R-basierte Übungen (R Tutorial wird angeboten) und beantworten Fragen in Moodle. - erarbeiten eine eigenständige Fragestellung zu einem dendroökologischen Thema und schreiben eine kurze Literaturarbeit basierend auf wissenschaftlichen Artikeln. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Übersicht und Geschichte der Dendrochronologie - Prinzipien der Dendrochronologie - Bildung und Struktur von Holz und Jahrringen - Holzanatomie und intra-saisonales Jahrringwachstum - Kontinuierliche und diskontinuierliche Jahrringmerkmale - Probenentnahme und Messung von Jahrringen - Kreuzdatierungsmethoden (visuell, Skeleton Plots, quantitativ) - Detrending und Standardisierung von Jahrringkurven - Entwicklung von Jahrring-Chronologien - Wassertransport in Bäumen - Stabile Isotopen in Jahrringen - Klimaeinflüsse, Klima-Wachstumsbeziehungen, Klimarekonstruktionen - Rekonstruktion der Walddynamik (Verjüngung, Wachstum, Konkurrenz, Mortalität) - Störungsökologie (Feuer, Insekten, Windwurf) - Einsatz der Jahrringforschung in der Praxis und in interdisziplinären Forschungsprojekten - Feld- und Labortag (Datum für einen ganzen Tag oder zwei Halbtage wird gemeinsam zu Beginn des Semesters mit den Studierenden gesucht): Besprechung von dendroökologischen Fragestellungen im Wald; Beprobung von Bäumen; Einblick in verschiedene Jahrringprojekte im Labor (Eidgenössische Forschungsanstalt für Wald Schnee und Landschaft WSL) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Skripte (in Englisch) werden in der Vorlesung abgegeben. Die Skripte sowie weitere Dokumente (Papers, Software) können nach Einschreibung im Kurs auf Moodle (https://moodle-app2.let.ethz.ch) runtergeladen werden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literaturlisten werden in der Vorlesung verteilt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Zeitplan (total 90 Stunden): Es finden 12 Doppelstunden Vorlesung statt (total 24 Stunden Präsenzzeit) sowie ein Feld- und Labortag (8 Stunden Präsenzzeit). Zusätzlich wird von den Studierenden 18 Stunden für die Vor- und Nachbearbeitung der Vorlesungen sowie 18 Stunden für die Übungen erwartet. Für die Laborarbeit sind 4 Stunden und für das Projekt 18 Stunden reserviert. Die Unterrichtssprache ist Deutsch und Englisch, auf Wunsch nur Englisch. Voraussetzungen: Grundlagen der Biologie, Ökologie und Waldökologie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1776-00L | Geographic Data Processing with Python and ArcGIS Number of participants limited to 30. Waiting list will be deleted September 14th, 2021. | W | 1 KP | 2U | A. Baltensweiler | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course communicates the basics of the programming language Python and gives a general introduction into the geoprocessing framework of ArcGIS. In addition various Python libraries (numyp, Scipy, GDAL, statsmodels, pandas, Jupyter Notebook) will be introduced which increase the functional range of the geoprocessing framework substantially. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students learn the basics of geographic data processing based on the programming language Python and ArcGIS (arcpy). They get the ability to implement their own processing sequences and models for geoprocessing. The students are able to integrate open source libraries in their Python scripts and know how the libraries are applied to spatial datasets. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course communicates a deepened understanding of the geoprocessing frameworks arcpy and covers basic language concepts of Python such as datatypes, control structures and functions. In addition the application of popular Python libraries in combination with spatial datasets will be shown. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture notes, exercises and worked out solutions to them will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lutz M. (2013): Learning Python, 5th Edition, O'Reilly Media De Smith M., Goodchild, M.F., Longley, P. A. (2018): Geospatial Analysis, 6th Edition, Troubador Publishing Ltd. Zandbergen P. A. (2020): Advanced Python Scripting for ArcGIS Pro. Esri Press. Allen, D. A. (2014): GIS Tutorial for Python Scripting. ESRI Press. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Basic knowledge of ArcGIS is assumed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-3001-00L | Environmental Systems Data Science | W | 3 KP | 2G | L. Pellissier, J. Payne, B. Stocker | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Students are introduced to a typical data science workflow using various examples from environmental systems. They learn common methods and key aspects for each step through practical application. The course enables students to plan their own data science project in their specialization and to acquire more domain-specific methods independently or in further courses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students are able to ● frame a data science problem and build a hypothesis ● describe the steps of a typical data science project workflow ● conduct selected steps of a workflow on specifically prepared datasets, with a focus on choosing, fitting and evaluating appropriate algorithms and models ● critically think about the limits and implications of a method ● visualise data and results throughout the workflow ● access online resources to keep up with the latest data science methodology and deepen their understanding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | ● The data science workflow ● Access and handle (large) datasets ● Prepare and clean data ● Analysis: data exploratory steps ● Analysis: machine learning and computational methods ● Evaluate results and analyse uncertainty ● Visualisation and communication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | 252-0840-02L Anwendungsnahes Programmieren mit Python 401-0624-00L Mathematik IV: Statistik 401-6215-00L Using R for Data Analysis and Graphics (Part I) 401-6217-00L Using R for Data Analysis and Graphics (Part II) 701-0105-00L Mathematik VI: Angewandte Statistik für Umweltnaturwissenschaften | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 401-0627-00L | Smoothing and Nonparametric Regression with Examples | W | 4 KP | 2G | S. Beran-Ghosh | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Starting with an overview of selected results from parametric inference, kernel smoothing will be introduced along with some asymptotic theory, optimal bandwidth selection, data driven algorithms and some special topics. Examples from environmental research will be used for motivation, but the methods will also be applicable elsewhere. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The students will learn about methods of kernel smoothing and application of concepts to data. The aim will be to build sufficient interest in the topic and intuition as well as the ability to implement the methods to various different datasets. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Rough Outline: - Parametric estimation methods: selection of important results o Method of Least squares: regression & diagnostics - Nonparametric curve estimation o Density estimation, Kernel regression, Local polynomials, Bandwidth selection, various theoretical results related to consistency o Selection of special topics (as time permits, we will discuss some of the following): rapid change points, mode estimation, partial linear models, probability and quantile curve estimation, etc. - Applications: potential areas of applications will be discussed such as, change assessment, trend and surface estimation and others. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Brief summaries or outlines of some of the lecture material will be posted at https://www.wsl.ch/en/employees/ghosh.html. NOTE: The posted notes will tend to be just sketches whereas only the in-class lessons will contain complete information. LOG IN: In order to have access to the posted notes, you will need the course user id & the password. These will be given out on the first day of the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | References: - Kernel Smoothing: Principles, Methods and Applications, by S. Ghosh, Wiley. - Statistical Inference, by S.D. Silvey, Chapman & Hall. - Regression Analysis: Theory, Methods and Applications, by A. Sen and M. Srivastava, Springer. - Density Estimation, by B.W. Silverman, Chapman and Hall. - Nonparametric Simple Regression, by J. Fox, Sage Publications. - Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations, by A.W. Bowman, A. Azzalini, Oxford University Press. Additional references will be given out in the lectures. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: A background in Linear Algebra, Calculus, Probability & Statistical Inference including Estimation and Testing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kolloquium | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1691-00L | Kolloquium Wald- und Landschaftsmanagement | Z | 0 KP | 1.5K | H. Bugmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Diese Veranstaltung bereitet Informationen aus der aktuellen Forschung so auf, dass sie für Stakeholder relevant und in die praktische Waldbewirtschaftung integrierbar sind. Sie ist eine Austausch-Plattform zwischen Forschung und Praxis im Waldbereich der Schweiz. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Austausch-Plattform zwischen Forstwissenschaften und Forstpraxis, fokussiert auf den Forstsektor der Schweiz | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | nicht verfügbar | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | wird angegeben, so weit sinnvoll | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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