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 April 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: Publication of Issue 13(2)

Next issue publication date is Oct. 30, 2021.  
Posted: 2021-09-24 More...

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...
More Announcements...

Vol 15, No 1: MCFNS April 30, 2023

Table of Contents

Sampling and Natural Resource Inventories

Kim Iles

Mathematical Modeling

Xingdong Li, Chun Tang, Mingxian Zhang, Shiyu Zhang, Sanping Li, Yangwei Wang, Shufa Sun, Jiuqing Liu
Chris J. Cieszewski