Ecological Complexity

杂志介绍

Ecological Complexity杂志介绍

《Ecological Complexity》是一本以English为主的未开放获取国际优秀期刊，中文名称生态复杂性，本刊主要出版、报道环境科学与生态学-ECOLOGY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为3.1，最新CiteScore 指数为7.1。

本刊近期中国学者发表的论文主要有：

• Meta-community selection favours reciprocal cooperation but depresses exploitation between competitors

  Author: Chuan Yan, Zhibin Zhang

• Biomass energy flow between species and species survival in fragmented landscapes

  Author: Haoqi Liu, Guanghui Lv

• Pattern selection in a predator-prey model with Michaelis–Menten type nonlinear predator harvesting

  Author: Mengxin Chen, Ranchao Wu, Biao Liu, Liping Chen

• The occasional absence of resources for cooperation and its role in the evolution of direct reciprocity

  Author: Shun Kurokawa

英文介绍

Ecological Complexity杂志英文介绍

Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales.

Ecological Complexity will publish research into the following areas:

• All aspects of biocomplexity in the environment and theoretical ecology

• Ecosystems and biospheres as complex adaptive systems

• Self-organization of spatially extended ecosystems

• Emergent properties and structures of complex ecosystems

• Ecological pattern formation in space and time

• The role of biophysical constraints and evolutionary attractors on species assemblages

• Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory

• Ecological topology and networks

• Studies towards an ecology of complex systems

• Complex systems approaches for the study of dynamic human-environment interactions

• Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change

• New tools and methods for studying ecological complexity