Ecological Informatics

期刊基本信息

期刊名称：Ecological Informatics

出版国家或地区：NETHERLANDS

是否OA：No

期刊ISSN：1574-9541

期刊官方网站：http://www.journals.elsevier.com/ecological-informatics/

期刊投稿网址：https://www.evise.com/evise/faces/pages/login/login.jspx?resourceUrl=%2Ffaces%2Fpages%2Fnavigation%2

通讯方式：ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE

涉及的研究方向：环境科学-生态学

出版周期：Quarterly

出版年份：2006

期刊数据表：

Ecological Informatics英文简介：

The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.The journal invites papers on:• novel concepts and tools for monitoring, acquisition, management, analysis and synthesis of ecological data, including eco-acoustics, eco-genomics, machine and deep learning, Bayesian inference, species distribution modelling, • understanding and forecasting ecosystem functioning and evolution, and• informing decisions on environmental issues like sustainability, climate change and biodiversity

Ecological Informatics中文简介：

《生态信息学》杂志致力于出版高质量的、同行评议的关于计算生态学、数据科学和生物地理学各个方面的文章。该期刊的范围考虑到生态学数据密集的性质，信息技术获取、利用和利用复杂数据的能力日益增强，以及考虑到全球环境和气候变化，为可持续管理提供信息的迫切需要。该期刊的性质是生态学和信息学交叉交叉的交叉学科。重点研究基于图像和基因组的监测和解释、基于传感器和多媒体的数据采集、基于互联网的数据存档和共享、数据同化、生态数据建模和预测的新概念和新技术。该杂志邀请论文发表于:•用于监测、获取、管理、分析和合成生态数据的新概念和工具，包括生态声学、生态基因组学、机器和深度学习、贝叶斯推理、物种分布建模、•理解和预测生态系统的功能和进化，以及•就可持续发展、气候变化和生物多样性等环境问题做出决策

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