How has "good modelling practices" been incorporated in ecology curricula in the last decade?5 answersIn the last decade, there has been a growing emphasis on incorporating good modelling practices in ecology curricula. This shift is driven by the recognition of the importance of transparent and reproducible modelling processes. Models of socio-environmental systems highlight the need for thorough discussions on appropriate scales during the initial phases of modelling, emphasizing transparency and justification of decisions. Environmental management decisions increasingly rely on ecological models, necessitating the inclusion of stakeholders throughout the modelling process to enhance transparency and overcome communication barriers. The demand for greater model complexity and transparency has led to calls for open, flexible, and reproducible frameworks in ecological modelling, promoting interoperability and continuous workflow integration. The tools of ecological niche modeling and species distribution modeling have seen increased usage, prompting the development of manuals to promote good practices and guide new users in the field.
Are researchers being trained on good modelling practices?5 answersResearchers are indeed being trained on good modelling practices, as highlighted in various research papers. The importance of good modelling practice is emphasized due to the complexity and cross-sectoral nature of the issues being addressed, such as climate change, water, energy, agriculture, and socio-economy. Recommendations for best practices in conceptualizing models, dealing with uncertainty, and validating models transparently have been outlined to support decision-making in health technology assessment. However, there are challenges in the uptake of process-based models in heritage science, with limited engagement and practical application reported in academic literature. Workshops involving experienced researchers and supervisors have been effective in helping PhD students develop a more strategic approach to their research, aiming to improve completion rates in science and engineering disciplines.
Is the model for teaching is useful?4 answersTeaching models are useful tools for educators to shape curriculum, design teaching materials, and guide instruction in the classroom. They provide stable structures and procedures for teaching activities, allowing educators to optimize their teaching methods and promote better learning outcomes for students. Models can be used to teach various concepts and subjects, such as architecture and driving. For example, in the field of architecture, models can provide volumetric and spatial data of buildings, making it easier to teach certain concepts to students. In the field of driving, a model car with a light source allows students to observe the motion of the car and experience the position and direction observed while driving, enhancing the learning experience. Additionally, the manufacturing of teaching models involves various steps to ensure durability and adaptability to different environments, making them long-lasting and less prone to damage. Overall, teaching models are valuable tools that can enhance teaching and learning experiences in various fields.
How is modelling useful in science education?4 answersModelling is useful in science education as it improves student understanding of abstract concepts and processes. It has a positive impact on cognitive, affective, social, and cultural factors in learning. Modelling helps students visualize and embody abstract concepts, phenomena, or processes, making them easier to comprehend. It is considered both a tool and a method in science education, and is included in contemporary teaching approaches such as problem-based learning and project-based learning. Modelling is also beneficial in promoting metacognition and critical thinking skills among pre-service science teachers. Additionally, modelling-based teaching enhances students' understanding of the scope and limitations of models, and the importance of such learning activities in science education. Mathematical modelling, as a specific type of modelling, is particularly valuable in STEM education as it helps students analyze real-life situations using mathematical methods.
How to make ecological models useful for environmental management?5 answersTo make ecological models useful for environmental management, several key requirements should be considered. Firstly, there should be a mechanistic understanding of causality, ensuring that the models accurately represent the relationships between ecological variables and management decisions. Secondly, the model input and output should align with the specific management decision being made. Additionally, the models should be developed at appropriate spatial and temporal resolutions to capture the relevant ecological processes. Uncertainty quantification is crucial, as it allows decision-makers to understand the reliability of the model predictions. The models should also demonstrate sufficient predictive performance, providing accurate forecasts of ecosystem responses to management interventions. Finally, transparent communication of the models and their results is essential for justifying management decisions to the public. By addressing these requirements, ecological models can effectively support environmental management decisions.
What is modeling in ecology?4 answersModeling in ecology refers to the construction and analysis of mathematical models that aim to understand the complexity of ecological processes and predict how ecosystems might evolve. These models are used to estimate habitat suitability, forecast species distributions, inform decision-making in environmental protection, and assess the ecological basis of various phenomena. Ecological models can be used to study a wide range of topics, including species distribution, genetic makeup, local adaptation, gene flow, ecosystem restoration, water operations, and environmental impact assessment. They are developed through phases of conceptualization, quantification, evaluation, application, and communication, with evaluation involving techniques such as calibration, verification, validation, and review. These models are essential for understanding the mechanisms that shape the assembly and evolution of microbial communities and for studying the interactions between microbes and their environment. Overall, ecological modeling is a powerful tool that combines theory and data to improve our understanding of ecological processes and inform decision-making in various fields.