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: Publication of Issue 13(2)

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

MCFNS Publications: 2021 SOFOR GIS Conference related upcoming Special Issue

13th Southern Forestry and Natural Resource Management GIS Conference. December 6-7, 2021; Georgia Center for Continuing Education & Hotel, Athens, Georgia  
Posted: 2021-04-14 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 13, No 1: MCFNS March 30, 2021

Table of Contents

GIS and Remote Sensing

Haozhou Wang, Ting-Ru Yang, Joni Waldy, John A Kershaw Jr.
Henrike Häbel, Andras Balazs, Mari Myllymäki

Growth & Yield and Quantitative Silviculture

Mike Robert Strub, Nathaniel Osborne

Mathematical Modeling

Chris J. Cieszewski