Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
http://mcfns.com/index.php/Journal/index
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) is an international scientific journal dedicated to the promotion, publication, and public discussion, of high quality studies on the basic and computational research of forestry and natural resource sciences. The title of the journal is intended to be descriptive of this journal’s main focus and scope. It is all-inclusive in the sense that it invites publications from a range of topics varying in scope from “Mathematical Forestry” to “Mathematical Natural-Resource Sciences,” and from
“Computational Forestry” to “Computational Natural-Resource Sciences.” Exploring the new research possibilities based on ever growing computing capabilities gives foundation to new computational sciences in Forestry and Natural Resources in the same manner in which the expanding computer capabilities helped to found such sciences as “Computational Genetics” and “Computational Physics.” The predominant 21st-century model of scientific pursuit in Forestry and Natural Resource Scientific publishing is right in between the two extremes covered by this journal. The main modus of that model is to collect data and analyze them using statistical software. This journal provides a publishing platform for the Forestry and Natural Resource Sciences outside this model by virtue of the journal’s focus on theoretical derivations and simulations, discussions, reviews and implementations of new computer-based technologies. Derivations are encouraged on all scientific bases, such as algebra, geometry, and plain logic. Similarly, computer simulations are within the scope of this journal’s interests whether they are based on theoretical pseudo-data or massive collections of empirical survey data. In essence the “Mathematical and Computational” aspects of natural resource sciences are viewed by this journal as sharing the common platform of the Rationalist approach to research that is in contrast to the more mainstream Empiricist studies (statistical analysis of collected data) dominating the present natural resource sciences and predominantly covered by the other excellent forestry and natural resource sciences journals.