MDPI

Forests Template

Write in a clean editor, then format for Forests in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Forests format

Forests is a peer-reviewed journal published by MDPI, covering Forest ecology and management, Plant Water Relations and Carbon Dynamics, Forest Management and Policy. Over its lifetime it has published 16,260 papers, which have received 222,078 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Forests 2023, 12, 45–58.

Formats any DOI in Forests style. No sign-up.

Publishes research inForest ecology and management Plant Water Relations and Carbon Dynamics Forest Management and Policy Ecology and Vegetation Dynamics Studies Fire effects on ecosystems
ISSN1999-4907
Citation impact (2-yr)3.29
h-index115
i10-index6,857
Article processing charge$2,165
Open accessYes
Top institutions publishing hereNanjing Forestry University
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Forests per year

173
2014
256
2015
329
2016
502
2017
794
2018
1.2K
2019
1.4K
2020
1.8K
2021
2.2K
2022
2.5K
2023
2.2K
2024
1.9K
2025

Citation impact of Forests by publication year

7K
2014
8.3K
2015
10.5K
2016
13.7K
2017
20.3K
2018
30.2K
2019
30.1K
2020
28.4K
2021
25.8K
2022
21.6K
2023
11.8K
2024
3.4K
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Forests

Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds

Luke Wallace, Arko Lucieer, Zbyněk Malenovský et al. · 7 Mar 2016

This study investigates the potential of unmanned aerial vehicles (UAVs) to measure and monitor structural properties of forests. Two remote sensing techniques, airborne laser scanning (ALS) and structure from motion (SfM) were tested to capture three-dimensional structural information from a small multi-rotor UAV platform. A case study is presented through the analysis of data collected…

A Forest Fire Detection System Based on Ensemble Learning

Renjie Xu, Haifeng Lin, Kangjie Lu et al. · 13 Feb 2021

Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging task. The traditional image processing method relies heavily on manmade features, which is not universally applicable to all forest scenarios. In order to solve this problem, the deep learning technology is applied to learn and extract features of forest…

Carbon Content of Tree Tissues: A Synthesis

Sean C. Thomas, Adam R. Martin · 19 Jun 2012

Assessing the potential for forest carbon (C) capture and storage requires accurate assessments of C in live tree tissues. In the vast majority of local, regional, and global assessments, C content has been assumed to be 50% of tree biomass; however, recent studies indicate that this assumption is not accurate, with substantial variation in C…

A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery

Jonathan Lisein, François Pierrot, Stéphanie Bonnet et al. · 6 Nov 2013

The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order…

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest

Midhun Mohan, Carlos Alberto Silva, Carine Klauberg et al. · 11 Sep 2017

Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities have made it feasible to obtain high-resolution imagery and three dimensional (3D) data which can be used for forest monitoring and assessing tree attributes. This study evaluates the applicability of low consumer grade cameras attached to UAVs and structure-from-motion (SfM) algorithm for automatic individual…

Forests template — frequently asked questions

How do I write a paper in the Forests format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Forests template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Forests use?
Forests uses Numbered (MDPI) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Forests 2023, 12, 45–58.
Do I need to know LaTeX to submit to Forests?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready Forests document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Forests template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Forests format with correct headings, figures, tables, and numbered citations.
What is Forests?
Forests - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready Forests PDF?
Yes — DocuGuru produces a PDF built with the official Forests template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the Forests template cost?
You can start writing in the Forests template for free. Exporting the final submission-ready Forests PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Forests template