Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 319, P. 115657 - 115657
Published: July 14, 2022
Language: Английский
Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 319, P. 115657 - 115657
Published: July 14, 2022
Language: Английский
Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(14), P. 5504 - 5520
Published: March 31, 2023
Humans have made profound changes to the Earth. The resulting societal challenges of Anthropocene (e.g., climate change and impacts, renewable energy, adaptive infrastructure, disasters, pandemics, food insecurity, biodiversity loss) are complex systemic, with causes, interactions, consequences that cascade across a globally connected system systems. In this Critical Review, we turn our "origin story" for insight, briefly tracing formation Universe Earth, emergence life, evolution multicellular organisms, mammals, primates, humans, as well more recent transitions involving agriculture, urbanization, industrialization, computerization. Focusing on genetic evolution, brain, cultural which includes technological identify nested evolutionary sequence geophysical, biophysical, sociocultural, sociotechnical systems, emphasizing causal mechanisms first formed, then transformed, Earth systems into Describing how coevolved, illustrating ensuing became tightly integrated multiple spatial, temporal, organizational scales, conclude by proposing an evolutionary, system-of-systems, convergence paradigm entire family interdependent Anthropocene.
Language: Английский
Citations
17Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 179, P. 106097 - 106097
Published: June 5, 2024
Various approaches are available to assist stakeholders in identifying and resolving ecosystem service tradeoffs. However, existing tools fall short simulating land use configuration effects on services subsequently making these accessible users with varying levels of expertise. To address this gap, we introduce PLACES, a tool that estimates impacts multiple by incorporating landscape-level processes. Tool results provided real-time visualized support dialogue between different stakeholders. This study presents the development application during mixed stakeholder workshop, after which mental models, questionnaires, videos were analyzed evaluate PLACES. The increased participants' understanding insights spatial processes sparked discussions societal goals for sustainable landscapes. For future applications encourage careful tailoring landscape representation impact simulations match knowledge respective users.
Language: Английский
Citations
6Journal of Hydrology, Journal Year: 2022, Volume and Issue: 610, P. 127928 - 127928
Published: May 13, 2022
Language: Английский
Citations
24Environmental Modelling & Software, Journal Year: 2022, Volume and Issue: 150, P. 105361 - 105361
Published: Feb. 16, 2022
Complex environmental and public policy decisions profit from structured procedures such as multi-criteria decision analysis (MCDA). To support decisions, the new open source application ValueDecisions provides advanced visualization with no programming expected users. Based on multi-attribute value theory (MAVT), it offers for conflicting interacting objectives, multiple stakeholders, uncertain consequences of options. Programmed in R, shiny web framework makes accessible via a graphical user interface browser. We exemplify using wastewater infrastructure planning case Paris region. surveyed preferences 655 citizens conducted sensitivity preference parameters. The best management options were robust across range profiles assumptions. evaluate app, we developed novel usability test based ISO standard software quality students studies.
Language: Английский
Citations
23Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 82, P. 103915 - 103915
Published: April 26, 2022
Language: Английский
Citations
20Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123924 - 123924
Published: Jan. 1, 2025
Language: Английский
Citations
0International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105215 - 105215
Published: Jan. 1, 2025
Language: Английский
Citations
0Environmental Hazards, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22
Published: Feb. 24, 2025
Recent experiences of intense wildfire events in fire-prone landscapes have sparked interest and investment the use simulation models other predictive tools to inform development effective warning systems. As projections increasingly frequent wildfires eventuate, there is growing inclusion more intelligence public warnings mitigate disastrous losses during prior fire events. Predictive spread maps (FSMs) show predicted extent a given occasionally been shown as form hazard information Australia. Existing literature inquiry recommendations highlighted need for evidence-based research support translation such novel technologies into practice. Our research, which involved interviews with 44 sector experts, explores emergency management professionals' current uses FSMs, their views on potential release future. This article investigates cultural institutional constraints underlying implementation uptake by its users. Although specific Australian context, findings this case study offer valuable insights others considering integration
Language: Английский
Citations
0Environmental Science & Policy, Journal Year: 2025, Volume and Issue: 168, P. 104065 - 104065
Published: April 17, 2025
Language: Английский
Citations
0Stochastic Environmental Research and Risk Assessment, Journal Year: 2023, Volume and Issue: 37(8), P. 3041 - 3061
Published: April 13, 2023
Abstract Due to our limited knowledge about complex environmental systems, predictions of their behavior under different scenarios or decision alternatives are subject considerable uncertainty. As this uncertainty can often be relevant for societal decisions, the consideration, quantification and communication it is very important. internal stochasticity, poorly known influence factors, only partly mechanisms, in many cases, a stochastic model needed get an adequate description implies need infer constant parameters, as well time-course states, high-dimensional inference problem calibration has solved. This challenging from methodological numerical perspective. To illustrate aspects show options successfully tackle it, we compare three approaches: Hamiltonian Monte Carlo, Particle Markov Chain Conditional Ornstein-Uhlenbeck Sampling. case study, select analysis hydrological data with model. We conclude that performance investigated techniques comparable analyzed system, also generality practical considerations may taken into account guide choice which technique more appropriate particular application.
Language: Английский
Citations
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