Special Issue "Monitoring Forest Degradation for Carbon Accounting"
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Quantitative Methods and Remote Sensing".
Deadline for manuscript submissions: 30 December 2019
Dr. César Pérez-Cruzado
University of Santiago de Compostela, Higher Polytechnic School of Engineering, Sustainable Forest Management Unit, Department of Agroforestry Engineering, E27002 Lugo, Spain
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Interests: forest inventory; error propagation and uncertainty analysis; sampling statistics and modelling; forest biomass and carbon monitoring.
Forests are suppliers of multiple ecosystem goods and services, of which carbon storage is one of the best known in relation to global climate regulation. However, provision of these services is threatened by degradation processes, which are causing major carbon emissions to the atmosphere. Reducing both deforestation and forest degradation is therefore particularly important within international strategies for reducing emissions. Methods of monitoring carbon emissions due to deforestation are based on identifying changes in land cover by different types of forest over time and characterization of the emission factors for each type of cover. This procedure has been accepted by the scientific community because it is transparent and verifiable, although it can be methodologically demanding in some types of forest. However, quantification of carbon emissions due to forest degradation is more difficult, owing to the lack of operational definitions and quantifiable indicators of forest degradation, as well as thresholds for degraded and non-degraded forests and standard procedures for differentiating forest degradation from sustainable forest management. This results in a lack of uniformity in reporting forest degradation at the international level, thus complicating the wider extrapolation of estimated carbon emissions due to forest degradation and negatively affecting the transparency and verifiability of the assessments. This special issue aims to report up-to-date knowledge of monitoring forest degradation for carbon accounting purposes. Authors should focus their reports on methodological aspects such as, for example, observational designs for quantifying the extent of forest degradation at stand level, sampling techniques for producing estimates and uncertainty analysis. The development of quantifiable indicators of forest degradation is also of key importance in this special issue, along with the definition of operational thresholds for degraded and non-degraded forests. Authors should relate their assessments to specific degradation processes.
Dr. César Pérez-Cruzado
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 papers will be 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 1800 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.
- Forest inventory
- Remote sensing
- Sampling statistics
- National Greenhouse Gas Inventories
- Forest carbon pools