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Cyberinfrastructure for sourcing and processing ecological data
DOI:10.1016/j.ecoinf.2023.102039.png)
摘要
En 中文
Cyberinfrastructure is a product of the information age that provides a framework for informing adaptive management of ecological entities under the impact of regional and global change. It supports proximity monitoring, user-friendly data management, knowledge discovery by data synthesis, and decision making by forecasting.A workflow is proposed that suits the iterative nature of adaptive management. It takes advantage of novel sensor, genomics, and communication technology for ecological monitoring, of ontologies, semantic webs and blockchain for data management, of hybrid, machine and deep learning concepts for data synthesis and forecasting. Forecasting at different time horizons is guiding decision making for adjusting management and continuing monitoring.This review aims to make researchers, decision makers and stakeholders aware of currently existing technology to make better use of ecological data and models for timely and evidence-based decisions.
Keyword:
Cyberinfrastructure
Adaptive management
Ecological entities
Ecological monitoring
Data management
Ecological synthesis
Ecological forecasting
Machine learning
Deep learning
Hybrid modelling
期刊
IF:
7.3
论文数:
3.8K
被引数:
1.3W
机构
引用论文
Newer classification and regression tree techniques: Bagging and random forests for ecological prediction
ECOSYSTEMS
IF3.3

