Agent-Based Modeling Framework for Predicting Regional Electricity Consumption Considering Occupant Behavior Shift and Exogenous Policy Impact DOI
I-Chun Chen,

Karly Cheng

Published: Jan. 1, 2024

Language: Английский

The need for an individual-based global change ecology DOI Creative Commons
Florian Jeltsch, Manuel Roeleke, Ahmed Abdelfattah

et al.

Published: March 26, 2025

Biodiversity loss and widespread ecosystem degradation are among the most pressing challenges of our time, requiring urgent action. Yet understanding their causes remains limited because prevailing ecological concepts approaches often overlook underlying complex interactions individuals same or different species, interacting with each other environment. We propose a paradigm shift in science, moving from simplifying frameworks that use population community averages to an integrative approach recognizes individual organisms as fundamental agents change. The urgency biodiversity crisis requires such advance ecology towards predictive science by elucidating causal mechanisms linking variation adaptive behaviour emergent properties populations, communities, ecosystems, human interventions. Recent advances computational technologies, sensors, analytical tools now offer unprecedented opportunities overcome past lay foundation for truly integrated Individual-Based Global Change Ecology (IBGCE). Unravelling potential role variability global change impact analyses will require systematic combination empirical, experimental modelling studies across systems, while taking into account multiple drivers interactions. Key priorities include refining theoretical frameworks, developing benchmark models standardized toolsets, systematically incorporating empirical field work, experiments models. emerging synergies between individual-based modelling, big data approaches, machine learning hold great promise addressing inherent complexity ecosystems. Each step development IBGCE must balance perspective parsimony, efficiency, feasibility. aims unravel predict dynamics Anthropocene through comprehensive study organisms, It provide critical considering future conservation sustainability management, individual-to-ecosystem pathways feedbacks.

Language: Английский

Citations

0
Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena DOI Creative Commons
Maja Schlüter‬, Nanda Wijermans, Blanca González‐Mon

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106444 - 106444

Published: March 1, 2025

Language: Английский

Citations

0
Using the ODD protocol and NetLogo to replicate agent-based models DOI Creative Commons
Volker Grimm, Uta Berger, Justin M. Calabrese

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 501, P. 110967 - 110967

Published: Dec. 6, 2024

Language: Английский

Citations

2
Agent-based modeling framework for predicting regional electricity consumption considering occupant behavior shift and exogenous policy impact DOI
I-Chun Chen,

Kuang-Ly Cheng

Energy and Buildings, Journal Year: 2024, Volume and Issue: 324, P. 114897 - 114897

Published: Oct. 10, 2024

Language: Английский

Citations

1
Agent-Based Modeling Framework for Predicting Regional Electricity Consumption Considering Occupant Behavior Shift and Exogenous Policy Impact DOI
I-Chun Chen,

Karly Cheng

Published: Jan. 1, 2024

Language: Английский

Citations

0