A Platform for Plant-Growth Modelers: Python Models for Agent-Based Resource Gathering (Pymanga) DOI
Marie‐Christin Wimmler, Jasper Bathmann, Jonas Vollhüter

et al.

Published: Jan. 1, 2023

Agent-based vegetation models are a widely used tool in ecology, for example, to understand and predict the response of environmental change. Models based on wellestablished descriptions processes such as establishment, growth mortality. However, they often developed from scratch, which can be inefficient. Here we present pyMANGA, free open-source platform plant modelers. pyMANGA’s modular design allows coexistence different concepts how plants grow, establish or compete above- below-ground resource availability. New alternative modules describing, e.g., competition facilitation, easily added. The interchangeability supports systematic testing hypotheses, dominant soil-plant feedback loops. further thorough benchmarking strategy maintain pyMANGA compare with levels abstraction complexity.

Language: Английский

pyMANGA: A modular, open and extendable software platform for modeling of forest and vegetation dynamics DOI Creative Commons
Marie‐Christin Wimmler, Jasper Bathmann, Jonas Vollhüter

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 174, P. 105973 - 105973

Published: Feb. 10, 2024

Agent-based vegetation models are a widely used tool in ecology, for example, to understand and predict the response of environmental change. Models based on well-established descriptions processes such as establishment, growth mortality. However, they often developed from scratch, which can be inefficient. Here we present pyMANGA, free open-source platform plant modelers. pyMANGA's modular design allows combination different concepts theories how plants establish, grow or compete above- below-ground resource availability. New alternative modules describing, e.g., competition facilitation, easily added. The interchangeability supports systematic testing hypotheses, dominant soil-plant feedback loops. further thorough benchmarking strategy maintain pyMANGA compare with levels abstraction complexity.

Language: Английский

Citations

8
Theory for and from agent-based modelling: Insights from a virtual special issue and a vision DOI Creative Commons
Volker Grimm, Uta Berger, Matthias Meyer

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 178, P. 106088 - 106088

Published: May 21, 2024

The Virtual Special Issue "Agents for Theory" discusses theory development using agent-based models (ABMs). six contributions focus on how the word "theory" is used in ABM literature, reviews of ABMs should be conducted to gain general insights, even conceptualisation can help transform heuristic theories into scientific ones, context-dependent choice decision better justified, reusable building blocks (RBBs) could support development, and a modular framework RBBs identify solutions. Overall, making that go system dynamics come out are interrelated, so micro-macro perspective attempt reproduce patterns at both levels simultaneously way forward. Theory requires clearer communication common language, reference patterns, more detailed model analysis testing.

Language: Английский

Citations

5
Accelerating social science knowledge production with the coordinated open-source model DOI Creative Commons
Konrad Turek

Quality & Quantity, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract With the growing complexity of knowledge production, social science must accelerate and open up to maintain explanatory power responsiveness. This goal requires redesigning front end research build an expandable infrastructure that stimulates broad collaborations, enables breaking down inertia path dependencies conventional approaches, boosts discovery innovation. article discusses coordinated open-source model as a promising organizational scheme can supplement in certain areas. The offers flexibility, decentralization, community-based development aligns with ideas, such reproducibility transparency. Similar solutions have been successfully applied natural science, but needs catch up. I present model’s design consider its potential limitations (e.g., regarding development, sustainability, coordination). also discuss applications various areas, including case study survey harmonization project Comparative Panel File.

Language: Английский

Citations

0
Model perpetuation by designing and documenting models and workflows so that they can be reused and further developed by others: The case of multiple stressors in ecology DOI Creative Commons

Laura Meier,

Volker Grimm, Karin Frank

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 501, P. 111029 - 111029

Published: Jan. 28, 2025

Language: Английский

Citations

0
Do urban digital twins need agents? DOI Creative Commons

Letícia Marçal Russo,

Gamze Dane, Marco Helbich

et al.

Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

The urban digital twin (UDT) is derived from the original digital-twin concept of a representation physical assets. This has left social component city underrepresented in UDTs. Here, we discuss what this means for current maturity stage UDTs and why better representing human behaviour may diversify possibilities to support different types planning. We contemplate operationalizing by agent-based models (ABMs) integrated with illustrate two concrete examples simulating stress safety perception public spaces. One example shows idea UDT as live data repository ABMs, ABM adding dynamism, other feedback between city, UDT. several epistemological, conceptual, technical, ethical challenges that be involved integration. conclude future agenda promote (1) abandonment vision highly detailed mirror (2) fit sectoral (strategic) addition operational planning, (3) inclusion behavioural processes incorporating (4) culture cumulative research using structured guided frameworks reusable building blocks, (5) ABMs explicit purposes allow fit-for-purpose selection UDTs, (6) explicitly addressing epistemic, normative, moral responsibilities. Thus, though including agents at some point solution (currently lacking) perspective on role humans shaping being shaped reconsiderations communities need take place first.

Language: Английский

Citations

0
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
Computational Methods in Landscape Ecology DOI Creative Commons
Maximilian H. K. Hesselbarth, Jakub Nowosad, Alida de Flamingh

et al.

Current Landscape Ecology Reports, Journal Year: 2024, Volume and Issue: 10(1)

Published: Dec. 16, 2024

Abstract Purpose of Review Landscapes can be defined as mosaics different land covers, habitats, ecosystems, or land-use systems. The link between spatial heterogeneous patterns and ecological processes is the core concept in research field landscape ecology. Nowadays, advanced computational methods are essential to due its cross-disciplinary nature, increasing availability data, complexity Recent Findings This review provides an overview recent developments that have We focus on key topics such patterns, connectivity, genetics, sampling, simulations modeling, planning. Summary highlights innovations, challenges, potential future directions field, emphasizing role addressing complex questions.

Language: Английский

Citations

3
Beyond guides, protocols and acronyms: Adoption of good modelling practices depends on challenging academia's status quo in ecology DOI Creative Commons
Tatiane Micheletti, Marie‐Christin Wimmler, Uta Berger

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 496, P. 110829 - 110829

Published: Aug. 17, 2024

Language: Английский

Citations

0
Exploiting Behavior Sequences for Multi-Agent Interactive Decision Making Through Variational Autoencoder DOI
Yinghui Pan, Biyang Ma, Hanyi Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Platform for Plant-Growth Modelers: Python Models for Agent-Based Resource Gathering (Pymanga) DOI
Marie‐Christin Wimmler, Jasper Bathmann, Jonas Vollhüter

et al.

Published: Jan. 1, 2023

Agent-based vegetation models are a widely used tool in ecology, for example, to understand and predict the response of environmental change. Models based on wellestablished descriptions processes such as establishment, growth mortality. However, they often developed from scratch, which can be inefficient. Here we present pyMANGA, free open-source platform plant modelers. pyMANGA’s modular design allows coexistence different concepts how plants grow, establish or compete above- below-ground resource availability. New alternative modules describing, e.g., competition facilitation, easily added. The interchangeability supports systematic testing hypotheses, dominant soil-plant feedback loops. further thorough benchmarking strategy maintain pyMANGA compare with levels abstraction complexity.

Language: Английский

Citations

0