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

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 journal has been indexed and abstracted in:

♦ Emerging Sources Citation Index

Posted: 2017-11-13 More...
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Vol 13, No 2: MCFNS October 30, 2021

Table of Contents

Programming and Software Development

Oscar Garcia

Mathematical Modeling

Shiyu Zhang, Jiuqing Liu, Hewei Gao, Xiandong Chen, Xingdong Li, Jun Hua, Haiqing Hu

Sampling and Natural Resource Inventories

Raman Nautiyal, Neeraj Tiwari, Girish Chandra, John A. Kershaw, Jr., Trishla Shaktan
Chris J. Cieszewski, Kim Iles