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Forests (ISSN 1999-4907) is an international and cross-disciplinary scholarly journal of forestry and forest ecology. It publishes research papers, short communications and review papers. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.

There are, in addition, unique features of this journal:

  • computed data or files regarding the full details of the experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material
  • we also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds
  • manuscripts regarding research proposals and research ideas are welcomed

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Resources

Displaying 146 - 150 of 236

Lessons Learned from the Water Producer Project in the Atlantic Forest, Brazil

Peer-reviewed publication
Dezembro, 2018
Brazil

Forest and landscape restoration (FLR) is a powerful strategy for large-scale tropical forest recovery, and payment for ecosystem services (PES) is used to support FLR programs and projects on privately-owned land. In this article, we discuss the lessons learned from the Water Producer Project, a pioneer, multiple-stakeholder, and PES-supported FLR project in the Atlantic Forest, south-eastern Brazil. The project was implemented in four landscapes located in two municipalities.

Semi-Automated Sample-Based Forest Degradation Monitoring with Photointerpretation of High-Resolution Imagery

Peer-reviewed publication
Dezembro, 2018
Global

Forest fragmentation and degradation are a problem in many areas of the world and are a cause for concern to land managers. Similarly, countries interested in curtailing climate change have a keen interest in monitoring forest degradation. Traditional methods for measuring forested landscape pattern dynamics with maps made from classified satellite imagery fall short with respect to the compatibility of their forest definitions with information needs. In addition, they are not easily amenable to interpretation using tools like confidence intervals derived from survey sampling theory.

From Farms to Forests: Landscape Carbon Balance after 50 Years of Afforestation, Harvesting, and Prescribed Fire

Peer-reviewed publication
Dezembro, 2018
Global

Establishing reliable carbon baselines for landowners desiring to sustain carbon sequestration and identify opportunities to mitigate land management impacts on carbon balance is important; however, national and regional assessments are not designed to support individual landowners. Such baselines become increasingly valuable when landowners convert land use, change management, or when disturbance occurs.

Climate Change Vulnerability Assessment for Forest Management: The Case of the U.S. Forest Service

Peer-reviewed publication
Dezembro, 2018
Global

Forest managers need access to targeted scientific information about the impacts of climate change in order to adapt to climate change. Vulnerability assessments address this need and are common across a range of disciplines and geographies; however, the practice of vulnerability assessment has revealed challenges that warrant further examination in a specific context. The U.S. Forest Service, a national forest-management agency in charge of 78 million hectares, has developed a collection of climate change vulnerability assessments to support adaptation by forest managers.

Evaluating Model Predictions of Fire Induced Tree Mortality Using Wildfire-Affected Forest Inventory Measurements

Peer-reviewed publication
Dezembro, 2018
Global

Forest land managers rely on predictions of tree mortality generated from fire behavior models to identify stands for post-fire salvage and to design fuel reduction treatments that reduce mortality. A key challenge in improving the accuracy of these predictions is selecting appropriate wind and fuel moisture inputs. Our objective was to evaluate postfire mortality predictions using the Forest Vegetation Simulator Fire and Fuels Extension (FVS-FFE) to determine if using representative fire-weather data would improve prediction accuracy over two default weather scenarios.