A5047179087- Ecosystem dynamics and resilience
- Opinion Dynamics and Social Influence
- Simulation Techniques and Applications
- Health Systems, Economic Evaluations, Quality of Life
- Aquatic Ecosystems and Phytoplankton Dynamics
- Healthcare Policy and Management
- Multi-Agent Systems and Negotiation
- Pharmaceutical Economics and Policy
- thermodynamics and calorimetric analyses
- Supply Chain Resilience and Risk Management
- Food Security and Health in Diverse Populations
- Peatlands and Wetlands Ecology
- Mathematical and Theoretical Epidemiology and Ecology Models
- Agricultural Innovations and Practices
- Complex Systems and Time Series Analysis
- Global Health Care Issues
- demographic modeling and climate adaptation
- Evolution and Genetic Dynamics
- Sustainability and Climate Change Governance
- Sharing Economy and Platforms
- Wine Industry and Tourism
- Complex Systems and Decision Making
- Gene Regulatory Network Analysis
- Marine and coastal ecosystems
- Agriculture, Land Use, Rural Development
Wageningen University & Research
2010-2024
Zimmer Biomet (United States)
2023-2024
Existing methodologies of sensitivity analysis may be insufficient for a proper Agent-based Models (ABMs). Most ABMs consist multiple levels, contain various nonlinear interactions, and display emergent behaviour. This limits the information content that follows from classical link model output to input. In this paper we evaluate performance three well-known analysis. The are extended OAT (one-at-a-time), proportional assigning variance by means fitting Sobol’ decomposition. applied case...
Our ability to deal with external changes is determined by our collective willingness transform and adopt new technologies.These factors are driven people's opinion on the change itself proposed policies.Humans constantly update their integrating information they hear values, which helps them make a judgement about that information.Here, we create an agent-based model explicitly incorporates concept of values explore possible drivers dynamics.In model, several perform local global...
Understanding the drivers of dietary decisions is crucial for encouraging and facilitating environmentally sustainable consumption patterns.Previous work has focused on utility that consumers place factors such as price, quality, ethics when making decisions, or effects personal values peer influence individual products.However, less attention been paid to interacting roles values, perceptions, social networks in decision-making, how these relate mismatches between diet choice.Here, we...
Trying to meet the Sustainable Development Goals is challenging. Food supply chains may have become more efficient increasing food requirement of 10 Billion people by 2050. At same time, and nutrition security are at risk from increasingly likely shocks like extreme climate events, market shocks, pandemics, changing consumer preferences, price volatility. Here we consider some possibilities limitations regarding improvement resilience (the capacity deal with shocks) efficiency (here...
Models of socio-environmental or social-ecological systems (SES) commonly address problems requiring interdisciplinary scientific expertise and input from a heterogeneous group stakeholders. In SES modelling multiple interactions occur on different scales among various phenomena. These scale phenomena include the technical, such as system variables, process detail, inputs outputs, which most often require spatial, temporal, thematic organisational choices. From good practice project...
The utility of Agent Based Models (ABMs) for decision making support as well scientific applications can be increased considerably by the availability and use methodologies thorough model behaviour analysis.In view their intrinsic construction, ABMs have to analysed numerically.Furthermore, ABM is o en complex, featuring strong non-linearities, tipping points, adaptation.This easily leads high computational costs, presenting a serious practical limitation.Model developers users alike would...
Robustness is an essential feature of biological systems, and any mathematical model that describes such a system should reflect this feature. Especially, persistence oscillatory behavior important issue. A benchmark for phenomenon the Laub-Loomis model, nonlinear cAMP oscillations in Dictyostelium discoideum. This captures most features biomolecular networks oscillating at constant frequencies. Nevertheless, robustness its not yet fully understood. Given exhibits some set parameters,...
Many researchers have called for more consideration of cross-scale dynamics in models socio-ecological systems, but this is a fundamentally difficult thing to do. Focussing on feedbacks and tipping points, paper uses three example demonstrate reflect how can be incorporated into aggregate models. Tipping points - where small perturbation lead qualitative change system are generally the result nonlinear feedback mechanisms. These mechanisms often operate different levels within or across...
We explore potential management strategies for short-term mitigation efforts of cyanobacterial blooms informed by process-based dynamic models. focus on the case where are linked to existence alternative stable states, such that, under same conditions but depending past, a lake may be dominated either cyanobacteria ("blue algae"), causing harmful algal bloom, or green algae and macrophytes in clear water state. Changing cause favourable state disappear through tipping point, switch rapidly...
Abstract Cyanobacteria can form dense blooms in eutrophic lakes that be toxic to humans and other animals harmful the ecosystem’s functioning. While better nutrient management is generally considered long-term solution this problem, short-term mitigation efforts (e.g., flushing, algaecides, flocculants) are becoming increasingly necessary safeguard water quality ecosystem services it provides. Here, we explore potential model-based strategies for these efforts. We focus on case where linked...