Call for Papers of Virtual Special Issue on: Environmental Modelling and Adaptive Management Implementation
摘要截稿:
全文截稿: 2019-06-01
影响因子: 2.511
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 环境科学与生态学 - 3区
• 小类 : 生态学 - 3区
Overview
Scope: 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. The proposed special issue aims to provide insights into the current state of the field of environmental modelling, and also highlight the major challenges in supporting adaptive management implementation. We invite contributions that address topics, such as development of model ensembles, novel uncertainty analysis techniques, Bayesian inference methods, emerging techniques of data assimilation and model optimization, and strategies to improve the contribution of models to environmental management. The proposed issue encourages contributions from both mathematical and statistical modellers.
If you are interested in submitting a paper to the VSI, please submit your manuscript to the EVISE system https://www.evise.com/profile/api/navigate/ECOINF. Authors must select “VSI: Modelling and Management” in the submission process.