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Particle tracking modelling in coastal marine environments: Recommended practices and performance limitations
Particle tracking models (PTMs) can simulate the dispersal of particulate and dissolved
material in the marine environment that are difficult to observe directly–including organic …
material in the marine environment that are difficult to observe directly–including organic …
[HTML][HTML] From formulae, via models to theories: Dynamic Energy Budget theory illustrates requirements
As sciences mature, they transition from observation and description to explanation and
prediction. This transition is associated with qualitative changes in the way quantitative …
prediction. This transition is associated with qualitative changes in the way quantitative …
More transparent and explainable machine learning algorithms are required to provide enhanced and sustainable dataset understanding
For detailed dataset interrogation and auditing purposes the lack of dataset explainability/
transparency of the majority of available machine-learning (ML) models poses limitations …
transparency of the majority of available machine-learning (ML) models poses limitations …
[HTML][HTML] Towards a comprehensive framework for providing management advice from statistical inference using population dynamics models
There has been substantial progress in fitting population dynamics models to data and this
has greatly improved management advice in a variety of situations from exploitation to …
has greatly improved management advice in a variety of situations from exploitation to …
[HTML][HTML] The different ways to operationalise the social in applied models and simulations of sustainability science: A contribution for the enhancement of good …
There are several concepts out there, which describe modelling as a circular process with
several rounds of iteration. The aim of these concepts is to structure the process and gain …
several rounds of iteration. The aim of these concepts is to structure the process and gain …
[HTML][HTML] When to add a new process to a model–and when not: A marine biogeochemical perspective
Abstract Models are critical tools for environmental science. They allow us to examine the
limits of what we think we know and to project that knowledge into situations for which we …
limits of what we think we know and to project that knowledge into situations for which we …
[HTML][HTML] A model-based policy analysis framework for social-ecological systems: Integrating uncertainty and participation in system dynamics modelling
Problems manifested within social-ecological systems (SES) exhibit dynamic complexity and
hold implications for current and future human well-being and environmental sustainability …
hold implications for current and future human well-being and environmental sustainability …
A general DDE framework to describe insect populations: Why delays are so important?
Physiologically-based models are a valuable tool to describe the biology of terrestrial
arthropods, as it is the case of insects. These models represent the division of the life cycle …
arthropods, as it is the case of insects. These models represent the division of the life cycle …
Good modelling practice in ecology, the hierarchical Bayesian perspective
Ecological modelling often involves addressing challenges such as dependence in
responses, eg, spatial and/or temporal correlation, heterogeneity of variance, and …
responses, eg, spatial and/or temporal correlation, heterogeneity of variance, and …
Integrating static and dynamic analyses in a spatial management framework to enhance ecological networks connectivity in the context of rapid urbanization
Urbanization and habitat fragmentation threaten biodiversity and ecosystem health
worldwide. Effective strategies to enhance ecological networks (ENs) connectivity are vital …
worldwide. Effective strategies to enhance ecological networks (ENs) connectivity are vital …