Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)

The mission of MCFNS is to publish peer-reviewed basic and applied research in Mathematical and Computational Forestry and Natural-Resource Sciences. This research can include analytical solutions, proofs, derivations, software developments, and simulations, in forest management, growth and yield modeling, and other natural resource related studies. Journal items are published collectively as part of an issue with its Table of Contents biannually, currently in March and October and starting 2019 in January and July

Abstract thinking is useful

'The Thinker' (above) - Rodin
'In a certain sense, I hold it true that pure thought
can grasp reality, as the ancients dreamed.' - Einstein



MCFNS Scopus Ranking: Q2;  

SCImago Journal & Country Rank 



MCFNS Publications: MCFNS is covered in Clarivate Analytics services.


Beginning with V. 9 (1) 2017, this publication will be indexed and abstracted in:

♦ Emerging Sources Citation Index

Posted: 2017-11-13 More...
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Vol 10, No 2: MCFNS October 30, 2018

Table of Contents

Natural Resource Economics and Policy

Yenie L. Tran, Jacek P. Siry, J. M. Bowker, Neelam C. Poudyal

Mathematical Modeling

Chris J. Cieszewski, Mike Strub

Growth & Yield and Quantitative Silviculture

Elias Milios, Kyriaki Kitikidou, Elias Pipinis, Athanasios Stampoulidis, Melina Gotsi

GIS and Remote Sensing

Zhaofei Fan, W. Keith Moser, Michael K. Crosby, Weiming Yu, Yaoqi Zhang, Mark H. Hansen, Shirley X. Fan