A5074016267- Ecology and Vegetation Dynamics Studies
- Evolution and Genetic Dynamics
- Plant and animal studies
- Species Distribution and Climate Change
- Ecosystem dynamics and resilience
- Wildlife-Road Interactions and Conservation
- Mathematical and Theoretical Epidemiology and Ecology Models
- Animal Ecology and Behavior Studies
- Sustainability and Ecological Systems Analysis
- Evolutionary Game Theory and Cooperation
- Isotope Analysis in Ecology
- Complex Systems and Time Series Analysis
- Land Use and Ecosystem Services
- Invertebrate Taxonomy and Ecology
- Fish Ecology and Management Studies
- Insect and Arachnid Ecology and Behavior
- Physiological and biochemical adaptations
- Plant Parasitism and Resistance
- Aquatic Ecosystems and Phytoplankton Dynamics
- Water Quality and Pollution Assessment
- Coastal wetland ecosystem dynamics
- Marine and fisheries research
- Environmental Toxicology and Ecotoxicology
Swiss Federal Institute of Aquatic Science and Technology
2018-2023
Centre d'Estudis Avançats de Blanes
2021
University of Zurich
2011-2019
John Wiley & Sons (United States)
2019
Ecological Society of America
2019
Microsoft Research (United Kingdom)
2011-2016
Microsoft (United States)
2014
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...
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...
Biological diversity depends on multiple, cooccurring ecological interactions. However, most studies focus one interaction type at a time, leaving community ecologists unsure of how positive and negative associations among species combine to influence biodiversity patterns. Using surveys plant populations in alpine communities worldwide, we explore patterns triads (modules) their relationship local biodiversity. Three modules, each incorporating both associations, were overrepresented, thus...
Biodiversity can increase in both high‐ and low‐connected landscapes. However, we lack predictions related to biodiversity dynamics when accounting for the temporal heterogeneity connections among habitats of a landscape. Here, study relationship between fluctuations landscape connectivity at local regional scales. We contrast about species richness landscapes with without connectivity. Our results show that (α) ( γ ) together dynamic characterized by periodic connectivity, clarifying...
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...
Abstract Understanding and quantifying the temperature dependence of population parameters, such as intrinsic growth rate carrying capacity, is critical for predicting ecological responses to environmental change. Many studies provide empirical estimates dependencies, but a thorough investigation methods used infer them has not been performed yet. We created artificial time series using stochastic logistic model parameterized with Arrhenius equation, so that activation energy drives...
Abstract Invasive species are a serious threat to biodiversity worldwide and predicting whether an introduced will first establish then become invasive can be useful preserve ecosystem services. Establishment is influenced by multiple factors, such as the interactions between individuals resident community, demographic environmental stochasticity. Field observations often incomplete or biased. This, together with imperfect knowledge of ecological traits species, makes prediction...
1 Abstract 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...
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 – highest...
In this work we analyse the topological and dynamical properties of a simple model complex food webs, namely niche model. order to underline competition among species, introduce "prey" "predators" weighted overlap graphs derived from compare synthetic webs with real data. Doing so, find new tests for goodness web models indicate possible direction improvement existing ones. We then exploit define kernel Lotka-Volterra population dynamics that such stability decreases its ecological complexity.
Functional responses are non-linear functions commonly used to describe the variation in rate of consumption resources by a consumer. They have been widely both theoretical and empirical studies, but comprehensive understanding their parameters at different levels description remains elusive. Here, depicting consumers as stochastic systems interacting particles, we present minimal set reactions for consumer resource dynamics. We rigorously derived corresponding system ODEs, from which...
Abstract Predictions from theory, field data, and experiments have shown that high landscape connectivity promotes higher species richness than low connectivity. However, examples demonstrating diversity in connected landscapes also exist. Here we describe the many factors drive at different spatiotemporal scales by varying amplitude frequency of changes dispersal radius spatial networks. We found fluctuations support metacommunities with static landscapes. Our results show a threshold below...
Abstract Functional responses are central to describe consumer-resource interactions. Defined as the per capita average feeding rate of consumers, since Holling’s seminal papers, they have been widely used in ecology. observation was that often saturate resource density increases. If interference between consumers is strong, also decrease with consumer density. Here we emphasize stochastic nature individual processes and associated probability distributions different behavioral types show...
Identifying sublethal pesticide effects on aquatic organisms is a challenge for environmental risk assessment. Long-term population experiments can help assessing chronic toxicity. However, are subject to stochasticity (demographic, environmental, and genetic). Therefore, identifying from "noisy" data be difficult. Model-based analysis support this process. We use stochastic, age-structured models applied long-term with Daphnia galeata in 1L aquaria without treatments (diazinon diuron) at...
Methods for predicting the probability and timing of a species' extinction are typically based on combination theoretical models empirical data, focus single species population dynamics. Of course, also interact with each other, forming more or less complex networks interactions. Models to assess risk often lack explicit incorporation these interspecific We study birth death process in which rate includes an effect from predation. This predation is included via general nonlinear expression...