Special Issue "Forest Resources Assessments: Mensuration, Inventory and Planning"

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: 31 December 2019.

Special Issue Editor

Guest Editor
Dr. Iciar Alberdi Website E-Mail
National Institute of Agricultural Research, Centre for Forest Research, La Coruña km 7,5 28040 Madrid, Spain
Interests: forest monitoring; National Forest Inventory; conservation; natural resources management; forest biodiversity indicators, forest information harmonization

Special Issue Information

Dear Colleagues,

There are many regional, national, and international forest information demands, covering aspects as varied as growing stock, carbon pools, and nonwood forest products, as well as information on forest biodiversity, forest risks, and disturbances, or social indicators. To objectively address these demands, intensive monitoring of the status of forests is required. The need for assessments applies either to managed or to natural forests.

In this information era, there are many ground and remote sensing sourced forest databases, at different time and spatial scales that could be combined to produce more complete estimates on forest status and trends, useful for policy-makers, managers, and researchers. However, this combined use is very challenging due to the heterogeneity in the inventories’ definitions, sampling, and estimation methods. Therefore, standardization and harmonization play a key role in obtaining consistent reliable results on forest ecosystems.

Additionally, to improve the forest inventories’ efficiency and to produce reliable estimates of certain variables within small areas, multisource forest inventory technology is being used. These techniques improve planning and management decisions by integrating ground-based data with remotely sensed estimates.

We are facing an innovative period on forest multiobjective and multisource forest inventories treatment that will allow the enhancement of forest resources assessments.

Dr. Iciar Alberdi
Guest Editor

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.

Keywords

  • Forest monitoring
  • Multipurpose national forest inventories
  • Remote sensing
  • Multi-source forest inventories
  • Harmonization
  • Sustainable criteria and indicators
  • Natural resource management
  • Bioeconomy
  • Conservation
  • Climate change

Published Papers (1 paper)

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Review

Open AccessReview
Catering Information Needs from Global to Local Scales—Potential and Challenges with National Forest Inventories
Forests 2019, 10(9), 800; https://doi.org/10.3390/f10090800 - 12 Sep 2019
Abstract
Forest information is needed at global, national and local scales. This review aimed at providing insights of potential of national forest inventories (NFIs) as well as challenges they have to cater to those needs. Within NFIs, the authors address the methodological challenges introduced [...] Read more.
Forest information is needed at global, national and local scales. This review aimed at providing insights of potential of national forest inventories (NFIs) as well as challenges they have to cater to those needs. Within NFIs, the authors address the methodological challenges introduced by the multitude of scales the forest data are needed, and the challenges in acknowledging the errors due to the measurements and models in addition to sampling errors. Between NFIs, the challenges related to the different harmonization tasks were reviewed. While a design-based approach is often considered more attractive than a model-based approach as it is guaranteed to provide unbiased results, the model-based approach is needed for downscaling the information to smaller scales and acknowledging the measurement and model errors. However, while a model-based inference is possible in small areas, the unknown random effects introduce biased estimators. The NFIs need to cater for the national information requirements and maintain the existing time series, while at the same time providing comparable information across the countries. In upscaling the NFI information to continental and global information needs, representative samples across the area are of utmost importance. Without representative data, the model-based approaches enable provision of forest information with unknown and indeterminable biases. Both design-based and model-based approaches need to be applied to cater to all information needs. This must be accomplished in a comprehensive way In particular, a need to have standardized quality requirements has been identified, acknowledging the possibility for bias and its implications, for all data used in policy making. Full article
(This article belongs to the Special Issue Forest Resources Assessments: Mensuration, Inventory and Planning)
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