The International Society for Ecological Modelling Global Conference 2021: Ecological Models for Tomorrow’s Solutions
Тезисы до: 12.02.2021
Даты: 12.10.21 — 16.10.21
Область наук: Экология;
Е-мейл Оргкомитета: https://service.elsevier.com/app/contact/supporthub/conferences/RN.Incident.CustomFields.conference_
Организаторы: The International Society for Ecological Modelling Global
The International Society for Ecological Modelling Global Conference 2021 (ISEM 2021), under the theme ‘Ecological Models for Tomorrow’s Solutions’, will bring together scientists from all professions and applications that deal with the use of ecological models and systems ecology.
Toronto shall be the inspiring space for the Ecological Modelling community to meet, discuss and share ideas. In this conference, ecological modellers will join in their ongoing effort in advancing the concepts and methods of ecological modelling to develop ecological theory in a wide range of topics and modelling approaches.
The rigorous analysis of decision problems in environmental management requires specification of criteria to evaluate alternative management strategies; predictive models formulated in terms of variables relevant to management objectives; a finite set of management actions, including any constraints on their use; and monitoring programs to follow ecosystem responses to management.
In this context, the major challenges are associated with the uncertainty in the predictions of management outcomes. This uncertainty may stem from incomplete control of management actions, errors in measurements and sampling, environmental variability, or incomplete knowledge of system behavior. Failure to recognize and account for these sources of uncertainty may lead to catastrophic environmental and economic losses.
Accordingly, there has been a growing interest in the policy practice of adaptive management, which is an iterative implementation strategy that is recommended to address the uncertainty associated with ecological forecasts and to minimize the impact of inefficient management plans. Adaptive implementation or “learning while doing” augments initial forecasts of management actions with post-implementation monitoring, and the resulting integration of monitoring and modelling provides the basis for revised management actions.
ISEM 2021 aims to provide insights into the current state of the field of ecological modelling, and also highlight the major challenges in supporting adaptive management implementation.
We invite contributions that present novel strategies to improve the contribution of models to environmental management, including the development of ecological model ensembles, novel uncertainty analysis techniques, Bayesian inference methods, emerging techniques of data assimilation and model optimization.
- Dynamic ecosystem models
- Uncertainty analysis
- Ensemble modelling
- Data assimilation and optimization techniques
- Machine learning and (big) data
- Model integration, metamodels
- Individual-based modelling
- Software and tools
- Bioenergetics: Dynamic energy budget models
- Network modelling
- Models of socio-ecological systems
- Models of global, climate and land-use change
- Sustainability and resilience
- Ecosystem services
- Biodiversity and conservation
- Community models
- Marine ecology and fisheries
- Freshwaters (lakes and rivers)
- Models of epidemics