Corrigendum to "Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling"

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2025-02-09 DOI:10.1016/j.ecolmodel.2025.111040
S.A. Cushman , K. Kilshaw , R.D. Campbell , Z. Kaszta , M. Gaywood , D.W. Macdonald
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“使用GLM和随机森林预测模型比较苏格兰野猫的全球、地理加权和生态加权物种分布模型的性能”的勘误表
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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