《生態信息學》雜志致力于出版高質量的、同行評議的關于計算生態學、數據科學和生物地理學各個方面的文章。該期刊的范圍考慮到生態學數據密集的性質，信息技術獲取、利用和利用復雜數據的能力日益增強，以及考慮到全球環境和氣候變化，為可持續管理提供信息的迫切需要。該期刊的性質是生態學和信息學交叉交叉的交叉學科。重點研究基于圖像和基因組的監測和解釋、基于傳感器和多媒體的數據采集、基于互聯網的數據存檔和共享、數據同化、生態數據建模和預測的新概念和新技術。該雜志邀請論文發表于:?用于監測、獲取、管理、分析和合成生態數據的新概念和工具，包括生態聲學、生態基因組學、機器和深度學習、貝葉斯推理、物種分布建模、?理解和預測生態系統的功能和進化，以及?就可持續發展、氣候變化和生物多樣性等環境問題做出決策

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