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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Displaying 146 - 150 of 236Lessons Learned from the Water Producer Project in the Atlantic Forest, 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.
Stakeholders’ Perceptions of Geographical Criteria for Loblolly Pine Management for Bioenergy Production in Virginia
This study analyzed the perceptions of four stakeholder groups (forest landowners, private forest consultants, forest management researchers or educators, and federal or state agency foresters), regarding their management practices and preferred geographic growing conditions of loblolly pine in Virginia by combining AHP (analytical hierarchy process) and regression modeling. By ranking the importance of different geographical conditions for managing loblolly pine, we aimed to identify ways to support loblolly growth as a potential feedstock for biofuel generation.
Variability in Mixed Conifer Spatial Structure Changes Understory Light Environments
In fire-adapted conifer forests of the Western U.S., changing land use has led to increased forest densities and fuel conditions partly responsible for increasing the extent of high-severity wildfires in the region. In response, land managers often use mechanical thinning treatments to reduce fuels and increase overstory structural complexity, which can help improve stand resilience and restore complex spatial patterns that once characterized these stands. The outcomes of these treatments can vary greatly, resulting in a large gradient in aggregation of residual overstory trees.
Managing Mixed Stands: Reassessing a Forgotten Stand Type in the Southeastern United States
Forestry in the Southeastern United States has long focused on converting natural stands into pine plantations or managing exclusively for hardwoods. Little consideration has been given to managing stands containing pine and hardwood mixtures, as these stands were considered inferior in terms of productivity and/or quality. Recent declines in small-diameter softwood markets and logging workforce have, however, begun to stress the traditional pine production model in some locations, raising interest in management alternatives.
Semi-Automated Sample-Based Forest Degradation Monitoring with Photointerpretation of High-Resolution Imagery
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.