Biomass Estimation and Carbon Stocks in Forest Ecosystems: 3rd Edition

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 153

Special Issue Editors


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Guest Editor
Department of Forest Management, Faculty of Forestry and Wood Technology, University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
Interests: forest management; biomass estimation; forest inventory; remote sensing; forest ecology
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Guest Editor

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issues, “Biomass Estimation and Carbon Stocks in Forest Ecosystems” (https://www.mdpi.com/si/103181) and “Biomass Estimation and Carbon Stocks in Forest Ecosystems: 2nd Edition” (https://www.mdpi.com/si/163200).

Forest biomass and carbon are key elements in the development of climate change mitigation strategies. Due to the growing demand for renewable energy, there is also a growing interest in the wider use of forest biomass for energy as a possible substitute for fossil fuels. The use of woody biomass as an energy source can make a significant contribution to mitigating climate change. Forest biomass estimation is also important in the evaluation of carbon sequestration and the carbon balance capacity of forest ecosystems. Forests, being the most important carbon sink, are a good tool for reducing the carbon content of the atmosphere. Estimating the amount of carbon stored by forests is essential to support climate change mitigation and promote the transition to a low-carbon-emission economy.

This Special Issue aims to present updated knowledge relating to biomass estimation and carbon storage in forest ecosystems. The topics will include:

  • Advanced methods for forest biomass modeling, mapping, and estimation;
  • Linking field and remote sensing measurements;
  • Biomass components of forest ecosystems: tree compartments, vegetation, fungi, bacteria, soil fauna, etc.;
  • Modeling growth and biomass production;
  • Effects of forest management practices on biomass allocation;
  • Forest biomass utilization;
  • Factors influencing carbon and nutrient storage.

Dr. Andrzej Węgiel
Dr. Adrian Łukowski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biomass allocation
  • allometric equations
  • growth models
  • biomass expansion factors
  • remote sensing
  • bioenergy
  • carbon and nutrient storage
  • ecosystem biodiversity
  • soil productivity
  • forest management

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Published Papers

This special issue is now open for submission.
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