雜志介紹

Ecological Informatics雜志介紹

《Ecological Informatics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱生態(tài)信息學，本刊主要出版、報道環(huán)境科學與生態(tài)學-ECOLOGY領域的研究動態(tài)以及在該領域取得的各方面的經(jīng)驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為5.8，最新CiteScore 指數(shù)為8.3。

本刊近期中國學者發(fā)表的論文主要有：

• Hierarchical clustering for line detection with UAV images and an application for the estimation of the clearance volume of oyster stones

  Author: Xie, Zhiying; He, Yuanrong; Liu, Hanxin; Peng, Yu; Chen, Shuanghui

• Differences in diffuse photosynthetically active radiation effects on cropland light use efficiency calculated via contemporary remote sensing and models

  Author: Zhao, Pengfei; Bai, Yang; Zhang, Zhaoyang; Wang, Lijun; Guo, Jianzhong; Wang, Jiayao

• Deep soil CO2 flux with strong temperature dependence contributes considerably to soil-atmosphere carbon flux

  Author: Hao, Wanglin; Xia, Bin; Li, Jun; Xu, Mingxiang

• Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China

  Author: Shuai, Niu; Hu, Yecui; Gao, Mengwen; Guo, Zelian; Bai, Yuping

英文介紹

Ecological Informatics雜志英文介紹

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.