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Forests
Forests
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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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Displaying 181 - 185 of 236

Potential Impact of the REDD+ Program on Poverty Reduction in Nghe An Province, Vietnam

Peer-reviewed publication
december, 2016
Global

The REDD+ program provides a mechanism for providing financial rewards to forest owners and users who contribute to the reduction of carbon emissions from deforestation and forest degradation. This paper determines the potential impact of the REDD+ program on poverty reduction by comparing income and poverty rate between two household groups that were willing to participate in this study, but that will not participate in the REDD+. The results showed that carbon payment from forests is a significant contributor to the increase in household income of poor people.

“Georgetown ain’t got a tree. We got the trees”—Amerindian Power & Participation in Guyana’s Low Carbon Development Strategy

Peer-reviewed publication
december, 2016
Guyana
Norway

International bi-lateral agreements to support the conservation of rainforests to reduce greenhouse gas emissions are growing in prevalence. In 2009, the governments of Guyana and Norway established Guyana’s Low Carbon Development Strategy (LCDS). We examine the extent to which the participation and inclusion of Guyana’s indigenous population within the LCDS is being achieved. We conducted a single site case study, focussing on the experiences and perceptions from the Amerindian community of Chenapou.

Modelling of Climate Conditions in Forest Vegetation Zones as a Support Tool for Forest Management Strategy in European Beech Dominated Forests

Peer-reviewed publication
december, 2016
Czech Republic

The regional effects of climate change on forest ecosystems in the temperate climate zone of Europe can be modelled as shifts of forest vegetation zones in the landscape, northward and to higher elevations. This study applies a biogeographical model of climate conditions in the forest vegetation zones of the Central European landscape, in order to predict the impact of future climate change on the most widespread tree species in European deciduous forests—the European beech (Fagus sylvatica L.).

The Vietnamese Legal and Policy Framework for Co-Management in Special-Use Forests

Peer-reviewed publication
december, 2016
Global

Co-management has been introduced into Special Use Forests (SUFs) of Vietnam for more than 10 years. However, the extent to which Vietnamese laws and policies support co-management remains unclear. This paper reviews existing policies and laws from the national to commune levels and assesses their facilitation of co-management in SUFs. The review demonstrates there is support for co-management, albeit scattered and uncoordinated across a range of policies and laws. Modifications to policy on ownership and use rights would support the development of SUF co-management.

Proximate Causes of Land-Use and Land-Cover Change in Bannerghatta National Park: A Spatial Statistical Model

Peer-reviewed publication
december, 2016
India

Land change modeling has become increasingly important in evaluating the unique driving factors and proximate causes that underlie a particular geographical location. In this article, a binary logistic regression analysis was employed to identify the factors influencing deforestation and simultaneous plantation driven reforestation in Bannerghatta National Park, located at the periphery of one of the fastest growing cities in India, i.e., Bangalore.