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Dynamische Makroökologie

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Leitung: Prof. Dr. Niklaus E. Zimmermann

Dynamische Makroökologie erforscht Muster und Prozesse zu Ökologie und Biodiversität entlang grosser räumlicher, ökologischer und zeitlicher Skalen. Unsere Gruppe trägt zu den Grundlagen der dynamischen Makroökologie bei durch das Entwickeln von Daten, Modellen und Theorie. Damit erklären wir die treibenden Kräfte und Prozesse der Verbreitung von Arten, von biologischer Vielfalt und der Interaktion von Arten von regionaler bis globaler Skala und zeitlich von Pleistozän bis zum Antropozän. Mit unseren Daten, Modellen und theoretischen Konzepten tragen wir zum besseren Umgang der Auswirkungen des globalen Wandels auf die (taxonomische, phylogenetische und funktionale) Biodiversität und von Ökosystemen bei. Diese Grundlagen verwenden wir ferner für ökologische Renaturierung, dem Management von Biodiversität und der Planung von Naturschutzvorhaben.

Aktuelles

New Technical Specialist

DME retreat in Davos

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Highlights

TreeMig Framework Workshop on Feb 28 led by Heike Lischke

TreeMig is a dynamic forest landscape model that is now easily usable and freely available. 40 scientists attended the workshop on the TreeMig framework. They heard lectures about the model and its applications, but most importantly, they learned how to run various simulations at the workshop. Lively discussions and numerous ideas for future applications resulted from these exercises.

More information: here

Europe-wide data set on plant ecological indicator values

Ellenberg’s ecological indicator values are widely used for bioindication to quantify environmental conditions and their changes based on plant species. Across Europe, 31 indicator value systems with over 11000 species have now been combined into a Europe-wide system (EIVE 1.0). DME contributed to the publication by evaluating the new indicator values using independent bioclimatic data (CHELSA).

Contact: Michael Nobis

More information: read the paper here

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Forschungsschwerpunkte

Biodiversity Dynamics

Community Processes & Functions

Global Change Impacts

Methodische Stärken

Environmental Data Science

Ecological Process Modeling

Bioclimate Data & Scaling

Produkte

TreeMig

KISSMig

FlorID

CHELSA

DayMet

Swiss Microclimate

WEITERFÜHRENDE INFORMATIONEN

Projekte

FlorID - a user-friendly tool to identify Swiss plants

In collaboration with Info Flora, we develop a web platform and an identification module for the popular FlorApp to make available the capacity of an artificial intelligence to identify Swiss plant species from images and coordinates.

Adohris

We will provide an overview where and how high resolution, kilometer scale, climate data can provide new insights from climate change impact models. To do so, we will use a set of climate impact models across several sectors, ranging from dynamic vegetation, to hydrology, or biodiversity models.

EMERGE - Extreme droughts in mountain regions

EMERGE will investigate the impacts of historic megadroughts on water fluxes and ecosystems in mountain regions, and use this knowledge to develop stress-test scenarios for a possible future megadrought in the Swiss Alps.

Blue-green conservation design

This project contributes to the Blue Green Biodiversity Research Initiative - an Eawag-WSL collaboration focusing on Biodiversity at the interface of aquatic and terrestrial ecosystems.

A range-wide transplant experiment using participatory science and genomic prediction

Mikroklimatische Veränderungen beeinflussen Artenvielfalt

Wie wirkt sich die Klimaerwärmung auf die Artenvielfalt in der Schweiz aus? Die Veränderungen des bodennahen Mikroklimas liefern neue Einsichten.

Feedbacks between Biodiversity and Climate

Despite being an essential element of the biodiversity and climate change crisis, the feedback between biodiversity and climate remains an understudied subject in biodiversity and climate science. The project FeedBaCks will focus on this important interaction between the two disciplines.

CHELSA

CHELSA (Climatologies at high resolution for the earth's land surface areas) is a very high resolution (30 arc sec, ~1km) global climate data set currently hosted by the Swiss Federal Institute for Forest, Snow and Landscape Research WSL.

TM Wrapper

We develop a R package for the easier applicability of the forest landscape model TreeMig.

Global blue-green richness differences

This project contributes to the Blue Green Biodiversity Research Initiative - an Eawag-WSL collaboration focusing on Biodiversity at the interface of aquatic and terrestrial ecosystems.

COMECO

This project focuses on floristic data from Switzerland as a pilot system to study the benefits of combining machine learning techniques with spatially explicit ecological and morphological meta information to identify species identities from pictures.

DeSeFoM

Oriental beech (Fagus orientalis) for assisted migration?

We assess the drought response of European and oriental across different life stages by taking advantage of existing Oriental beech plantations in France, Germany and Switzerland.

ClimEx

Climatic extremes such as droughts, heat waves, and late frost events, are predicted to increase with ongoing climate change and are therefore of primary concern for environmental research. We will develop such data on extreme climatic events on a global scale from 1950-2100.

FutureWeb

FutureWeb will integrate predictive biogeography, geography, biostatistics and trophic web ecology to derive an ensemble of scenarios of the impact of global change on multi-trophic vertebrate biodiversity, ecosystem functioning and the provision of ecosystem services in Europe.

Simulating dynamics and spread of vegetation and interacting species

The spatio-temporal DGVM LPJ-GM is extended with modules for dynamics and spread of interacting species and tested in case studies with different interactors

FORClimateS

The project aims to aggregate and synthesize existing information on different spatial and temporal scales to provide decision-makers with relevant and robust information on short- and long-term risks for forests and forest functions and on adaptation strategies under different climate futures

Ecology of Interactions

Hummingbird-plant interactions across elevation gradients in Central and South America

"joint modeling" in der Biodiversitätmodellierung

This project aims to evaluate advantages and potential pitfalls of JSDMs in biodiversity modeling

Automatisierte Erfassung invasiver Neophyten an Autobahnen

Autobahnen sind bedeutende Ausbreitungskorridore für invasive Arten. Im Projekt wird eine bildgestützte, automatisierte Erfassung invasiver Neophyten an Autobahnen im Schweizer Mittelland entwickelt und angewendet. Dabei kommen neue Ansätze der künstlichen Intelligenz (Deep Learning) zum Einsatz.

Photoperiod and ciracian clocks - effects on adaptation and acclimation

Do evolutionary constraints on photoperiod and circadian clocks hinder adaptation and acclimation of plants to climate change? With this project, we will provide the mechanistic basis and a conceptual framework to understand how climatic and daylight/photoperiod cues jointly affects tree functioning.

Can all agriculture in Europe changed to organic production?

What happens when all agriculture in Europe is changed to organic production? This project investigates how the transition to organic production can be made and at a truly European scale combining 11 universities and 15- multi actors from 9 EU countries and 3 associated countries.

SpeedMind

The SpeedMind project will focuses on floristic data from Switzerland as a pilot system to set up and study the benefits of data-mining and machine learning techniques for facilitating biodiversity assessments.

DEForScen

Current plastic response of plants to climate change may be reflected by tree health. We investigate tree health data collected on ca. 6000 plots across Europe since the 1980s to figure out whether changes and trends in defoliation permit to identify species-specific response to climate change.

HYDRO-CH2018 "Forhycs-Ice"

In the project FORHYCS-ICE, ("Forest, Glacier and Hydrology Change in Switzerland"), we aim at providing the first holistic simulations of climate impacts (CH2018 scenarios) on water resources, glaciers and forests.

Tree species migration in DGVMs

Combining very efficient methods for simulation of seed dispersal and for local vegetation dynamics allows for large scale spatiotemporal vegetation dynamics simulations in DGVMs

Stability in Lotka-Volterra competition models

We analyse the stability of Lotka-Volterra competition models

Shiny Server

The R package "Shiny" offers a simple web application framework for R. Within this internal project we use a dedicated Shiny server to evaluate the capability of web-based Shiny applications for existing work processes and projects at WSL.

ClimSens - Climate Sensitivity of plants and animals in Switzerland

In diesem Projekt wird die Klimasensitivität von (v.a.) Pflanzen und Tieren abgeschätzt.

STACCATO

STACCATO ist ein BiodivERsA Projekt, das im Verbund mit 10 europäischen Partner-Institutionen durchgeführt wird, und den Zusammenhang zwischen Intensität der landwirtschaftlichen Nutzung, der Biodiversität, und der Ökosystemleistungen untersucht.

FORHYCS

A hydrological model is coupled to a forest model to better assess the influence of changing drivers to forests and the hydrological cycle.

Forest dynamics in Switzerland - pattern, driving forces and ecological implications

Aim of the project is the reconstruction of forest changes in Switzerland (since 1840) and Canton of Zurich (since 1667) to study forest dynamics and search for transition processes.

FORECOM Forest cover changes in mountainous regions

Im polnisch-schweizerischen Forschungsprojekt FORECOM werden historische Waldflächenveränderungen für die Karpathen und Alpen rekonstruiert und die hinter den Veränderungen stehenden treibenden Kräfte analysiert.

Biodiversität und Raumentwicklung

Das Projekt «Biodiversität und Raumentwicklung» untersucht Zusammenhänge zwischen Biodiversität und Raumentwicklung auf Landschaftsebene. Die Resultate sind kartographisch dargestellt und können zur Visualisierung von Szenarien der Landschaftsentwicklung eingesetzt werden.

Publikationen

Engel, T.; Bruelheide, H.; Hoss, D.; Sabatini, F.M.; Altman, J.; Arfin-Khan, M.A.S.; Bergmeier, E.; Černý, T.; Chytrý, M.; Dainese, M.; Dengler, J.; Dolezal, J.; Field, R.; Fischer, F.M.; Huygens, D.; Jandt, U.; Jansen, F.; Jentsch, A.; Karger, D.N.; ... Pillar, V., 2023: Traits of dominant plant species drive normalized difference vegetation index in grasslands globally. Global Ecology and Biogeography, doi: 10.1111/geb.13644

Karger, D.N.; Nobis, M.P.; Normand, S.; Graham, C.H.; Zimmermann, N.E., 2023: CHELSA-TraCE21k - high-resolution (1 km) downscaled transient temperature and precipitation data since the Last Glacial Maximum. Climate of the Past, 19, 2: 439-456. doi: 10.5194/cp-19-439-2023

Van Zuijlen, K.; Nobis, M.P.; Hedenäs, L.; Hodgetts, N.; Alarcón, J.A.C.; Albertos, B.; Bernhardt‐Römermann, M.; Gabriel, R.; Garilleti, R.; Lara, F.; Preston, C.D.; Simmel, J.; Urmi, E.; Bisang, I.; Bergamini, A., 2023: Bryophytes of Europe Traits (BET) dataset: a fundamental tool for ecological studies. Journal of Vegetation Science, doi: 10.1111/jvs.13179

Dauphin, B.; Rellstab, C.; Wüest, R.O.; Karger, D.N.; Holderegger, R.; Gugerli, F.; Manel, S., 2023: Re-thinking the environment in landscape genomics. Trends in Ecology and Evolution, 38, 3: 261-274. doi: 10.1016/j.tree.2022.10.010

Tichý, L.; Axmanová, I.; Dengler, J.; Guarino, R.; Jansen, F.; Midolo, G.; Nobis, M.P.; Van Meerbeek, K.; Aćić, S.; Attorre, F.; Graf, U.; Karger, D.N.; Wohlgemuth, T.; Chytrý, M., 2023: Ellenberg‐type indicator values for European vascular plant species. Journal of Vegetation Science, 34, 1: e13168 (13 pp.). doi: 10.1111/jvs.13168

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Mitarbeitende

Dynamische Makroökologie

Prof. Dr. Niklaus Zimmermann	Gruppenleiter, Senior Scientist
David Böhm	Aushilfe
Dr. Philipp Brun	Technischer Mitarbeiter
Dr. Liangzhi Chen	PostDoc
Dr. Lucienne Claudine de Witte	Gastwissenschafterin
Dr. Patrice Descombes	Gast
Dr. Wenna Ding	PostDoc
Elham Ebrahimi	Gastwissenschafter
Alain Joss	Zivildienst Mitarbeiter
Dr. Dirk Karger	Wissenschaftlicher Mitarbeiter
Prof. Dr. Ingolf Kühn	Gastwissenschafter
Prof. Veiko Lehsten	Gastwissenschafter
Yuchen Liao	Gastwissenschafterin
Dr. Heike Lischke	Senior Scientist
Yi Liu	Gastdoktorand
Thomas Löffler	Gastwissenschafter
Dr. Johanna Teresa Malle	PostDoc
Dr. Michael Nobis	Wissenschaftlicher Mitarbeiter
Oluwadamilola Ogundipe	Doktorandin
Arthur Provost	Praktikant
Dr. Bianca Saladin	Gastdoktorandin
Dr. Dirk Schmatz	Wissenschaftlicher Mitarbeiter
Eric Sulmoni	Gastwissenschafter
Deborah Zani	Doktorandin
Dr. Florian Zellweger	Wissenschaftlicher Mitarbeiter
Franziska Zilker	Technische Mitarbeiterin