About this Research Topic
Non-linear characteristics play a significant role in understanding environmental processes. Environmental systems often exhibit complex behavior that cannot be adequately explained by simple linear relationships. Thus, understanding the dynamic behavior in the environmental domain is crucial for accurate modeling and prediction. Linear models may fail to capture the complexity and emergent behavior observed in natural systems. Non-linear models, on the other hand, allow for a more comprehensive representation of the interactions and feedbacks that drive environmental processes. Hence, non-linear characteristics are inherent to environmental processes. Recognizing and studying these non-linear relationships are essential for a better understanding of environmental systems and their responses to natural and anthropogenic influences. In environmental science, non-linear properties are observed in various contexts such as climate change, renewable energy, air pollution, oceanography, hydrological processes, or ecosystems.
The goal of this Research Topic is to address the importance of non-linear properties in environmental processes and explore recent advances in this field. By capturing the complexity and dynamics of natural systems, non-linear properties offer valuable insights into system behavior, emergent phenomena, feedback mechanisms, thresholds, tipping points, resilience, adaptability, and modeling capabilities. Incorporating non-linear dynamics in environmental research enhances our understanding, predictive capacities, and ability to inform sustainable management practices. Incorporating non-linear dynamics into environmental research provides valuable insights into the behavior of complex systems, helping address pressing environmental challenges and guide decision-making.
The aim of the current Research Topic is to cover promising, recent, and novel research trends on non-linear characteristics in all environmental fields. Areas to be covered in this Research Topic may include, but are not limited to:
- Scaling and multifractality
- Stochastic models
- Artificial intelligence (machine learning, deep learning)
- Turbulence
- Chaotic analysis
- Multiscale spectral analysis
- Entropy
The goal of this Research Topic is to address the importance of non-linear properties in environmental processes and explore recent advances in this field. By capturing the complexity and dynamics of natural systems, non-linear properties offer valuable insights into system behavior, emergent phenomena, feedback mechanisms, thresholds, tipping points, resilience, adaptability, and modeling capabilities. Incorporating non-linear dynamics in environmental research enhances our understanding, predictive capacities, and ability to inform sustainable management practices. Incorporating non-linear dynamics into environmental research provides valuable insights into the behavior of complex systems, helping address pressing environmental challenges and guide decision-making.
The aim of the current Research Topic is to cover promising, recent, and novel research trends on non-linear characteristics in all environmental fields. Areas to be covered in this Research Topic may include, but are not limited to:
- Scaling and multifractality
- Stochastic models
- Artificial intelligence (machine learning, deep learning)
- Turbulence
- Chaotic analysis
- Multiscale spectral analysis
- Entropy
Keywords: modelling, Non-linear Dynamics, environmental processes, stochastic methods, scaling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
