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Peer-Review Record

Modelling Dominant Tree Heights of Fagus sylvatica L. Using Function-on-Scalar Regression Based on Forest Inventory Data

Forests 2023, 14(2), 304; https://doi.org/10.3390/f14020304
by Markus Engel 1,*, Tobias Mette 1, Wolfgang Falk 1, Werner Poschenrieder 1, Jonas Fridman 2 and Mitja Skudnik 3
Reviewer 2:
Forests 2023, 14(2), 304; https://doi.org/10.3390/f14020304
Submission received: 13 January 2023 / Revised: 28 January 2023 / Accepted: 1 February 2023 / Published: 3 February 2023
(This article belongs to the Special Issue Modeling of Forest Growth and Stand Dynamics)

Round 1

Reviewer 1 Report

Specific observations and suggestions for improvement have been made on the body of the manuscript.

It is suggested to improve the content of all sections of the manuscript. In "Introduction" technical aspects of the GAM technique and the concept of "Dominant Height" should be added. In "Materials and Methods", "Results" and "Discussion" new Figures and Tables must be elaborated and included. In "Discussion", a relevant aspect is to consider the age of the trees in which the dominant height was recorded; age should be a factor in the analysis and discussion of the results found. The “Discussion” should be expanded. In "Conclusions" the authors must add relevant qualitative and quantitative aspects that were found in the study carried out. Bibliographic citations should be added in the different sections.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Reviewer 2 Report

1. Has the European beech stand studied in this paper carried out any management activities, such as thinning? These can affect the growth of trees and also affect how different areas are compared.

2. What is the specific functional form of f(Tempi), f(Preci), f(FCi), f(SNi), fprov(Tempi), fprov(Preci), fprov(FCi), fprov(SNi) in Model (1)? What are the parameters?

3. Parameter estimation results of the regression model should be listed, and model test should be carried out to give the estimation accuracy.

Author Response

Please see the attachment.

Author Response File: Author Response.doc

Round 2

Reviewer 1 Report

No comment.

 

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