A5037863694- Species Distribution and Climate Change
- Plant and animal studies
- Evolution and Genetic Dynamics
- Microbial Community Ecology and Physiology
- Ecosystem dynamics and resilience
- Protist diversity and phylogeny
- Ecology and Vegetation Dynamics Studies
- Marine and coastal ecosystems
- Physiological and biochemical adaptations
- Animal Behavior and Reproduction
- Animal Ecology and Behavior Studies
- Methane Hydrates and Related Phenomena
- Evolutionary Game Theory and Cooperation
- Sustainability and Ecological Systems Analysis
- Soil Carbon and Nitrogen Dynamics
- Ocean Acidification Effects and Responses
- Genomics and Phylogenetic Studies
- Cell Image Analysis Techniques
- Wildlife Ecology and Conservation
- Environmental Conservation and Management
- Complex Systems and Time Series Analysis
- Environmental Education and Sustainability
- Animal and Plant Science Education
- Isotope Analysis in Ecology
- Opportunistic and Delay-Tolerant Networks
University of Zurich
2015-2024
Institut de Biologia Evolutiva
2021
UCLouvain
2012-2020
Ecological Society of America
2019
John Wiley & Sons (United States)
2019
Aix-Marseille Université
2016
Osnabrück University
2016
Fundação para a Ciência e Tecnologia
2016
University of Lisbon
2016
U.S. Geological Survey, Wetland and Aquatic Research Center
2016
Forecasts of ecological dynamics in changing environments are increasingly important, and available for a plethora variables, such as species abundance distribution, community structure ecosystem processes. There is, however, general absence knowledge about how far into the future, or other dimensions (space, temperature, phylogenetic distance), useful forecasts can be made, features systems relate to these distances. The forecast horizon is dimensional distance which made. Five case studies...
Summary Laboratory microcosm experiments using protists as model organisms have a long tradition and are widely used to investigate general concepts in population biology, community ecology evolutionary biology. Many variables of interest measured order study processes patterns at different spatiotemporal scales across all levels biological organization. This includes measurements body size, mobility or abundance, understand dynamics, dispersal behaviour ecosystem processes. Also, variety...
Abstract Successfully predicting the future states of systems that are complex, stochastic, and potentially chaotic is a major challenge. Model forecasting error ( FE ) usual measure success; however model predictions provide no insights into potential for improvement. In short, realized predictability specific uninformative about whether system inherently predictable or chosen poor match our observations thereof. Ideally, proficiency would be judged with respect to systems’ intrinsic...
Abstract Microbes are critical components of ecosystems and provide vital services (e.g., photosynthesis, decomposition, nutrient recycling). From the diverse roles microbes play in natural ecosystems, high levels functional diversity result. Quantifying this is challenging, because it weakly associated with morphological differentiation. In addition, small size hinders behavioral measurements at individual level, as well interactions between individuals. Advances microbial community...
Abstract The potential for climate change and temperature shifts to affect community stability remains relatively unknown. One mechanism by which may is altering trophic interactions. functional response quantifies the per capita resource consumption consumer as a function of abundance suitable framework description nonlinear We studied effect on ciliate predator–prey pair ( Spathidium sp. Dexiostoma campylum ) estimating warming effects associated conversion efficiency predator. recorded...
Summary Experimental laboratory systems (ELS) are widely applied research tools to test theoretical predictions in ecology and evolution. Combining ELS with automated image analysis could significantly boost information acquisition due the ease at which abundance morphological data is collected. Despite advantages of analysis, technology has not been fully adopted yet, presumably difficulties technical implementation. The needed integrate nowadays readily available: digital camera equipment...
Dispersal and phenotypic plasticity are two main ways for species to deal with rapid changes of their environments. Understanding how genotypes (G), environments (E), interaction (genotype environment; G × E) each affects dispersal propensity is therefore instrumental predicting the ecological evolutionary responses under global change. Here we used an actively dispersing ciliate quantify contributions G, E, E on propensity, exposing 44 different three environmental contexts (densities in...
Understanding the mechanisms underlying ecosystem stability is crucial in predicting ecological responses to environmental fluctuations. While diversity-stability relationship has been widely studied, role of species' fundamental environment remains underexplored. Here, we investigate how distribution responses, captured by a novel metric, imbalance, drives through asynchrony and population stability. Using microcosm experiment with protist communities, manipulated species richness response...
Organismal abundance tends to decline with increasing body size. Metabolic theory links this size structure energy use and productivity across levels of biological organization, predicting a size-abundance slope -0.75 that is invariant environments. We tested whether the relationship robust gradient protist species richness (1 6 species), temperature (15 25 C), time. Our results support expected for relationship, but we found interactive effects indicating not invariant. In high-richness...
Global change encompasses many co-occurring anthropogenic drivers, which can act synergistically or antagonistically on ecological systems. Predicting how different global drivers simultaneously contribute to observed biodiversity is a key challenge for ecology and conservation. However, we lack the mechanistic understanding of multiple influence vital rates interacting species. We propose that reaction norms, relationships between driver like growth, mortality, consumption, provide insights...
Abstract Agriculture is likely to expand poleward with climate change, encouraging deforestation for agriculture in subarctic regions, which alters soil physical, chemical and biological properties potentially affects microbial metabolic efficiency. Deciphering how by mechanisms land-use change carbon use efficiency (CUE) will enable the development of mitigation strategies alleviate C losses. We assessed CUE using 18 O-labelled water a paired-plot approach on soils collected from 19 farms...
Global environmental change has negative impacts on ecological systems, impacting the stable provision of functions, goods, and services. Whereas effects individual changes (e.g. temperature or in resource availability) are reasonably well understood, we lack information about if how multiple interact. We examined interactions among four types disturbance (temperature, nutrient ratio, carbon enrichment, light) a fully factorial design using microbial aquatic ecosystem observed responses...
Lagoonal mangrove ecosystems are vital for carbon capture, protection of coastlines and conservation biodiversity. Yet, they decreasing globally at a higher rate than other ecosystems. In addition to human drivers, local environmental factors influence the functioning lagoonal ecosystems, but their importance combined effects relatively unknown. Here, we investigate drivers functioning, approximated by aboveground biomass (AGB), in protected ecosystem on Aldabra Atoll, Seychelles. Based...
Abstract Phenotypic plasticity is increasingly recognized as a key element of eco‐evolutionary dynamics, but it remains challenging to assess because its multidimensional nature. Indeed, organisms live in complex environments where numerous factors can impact the phenotypic expression traits (inter‐environment axis), possess multiple that influence each other's (inter‐trait axis) and differ their genetic background (inter‐genotype which not only traits' values also plasticity. We addressed...
The development of video-based monitoring methods allows for rapid, dynamic and accurate individuals or communities, compared to slower traditional methods, with far reaching ecological evolutionary applications. Large amounts data are generated using which can be effectively processed machine learning (ML) algorithms into meaningful information. ML uses user defined classes (e.g. species), derived from a subset (i.e. training data) video-observed quantitative features phenotypic variation),...
Abstract Intraspecific trait change, including altered behaviour or morphology, can drive temporal variation in interspecific interactions and population dynamics. In turn, species’ densities alter the strength direction of change. The resulting feedback between traits abundance permits a wide range community dynamics that would not be expected from ecological theories purely based on species abundances. Despite theoretical importance these interrelated processes, unambiguous experimental...