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Although tropical rainforests preserve high levels of biodiversity, they are among the most threatened ecosystems globally due to large-scale fragmentation as a result of anthropogenic activities. Overall, fast human-driven habitat destruction is suspected to be one of the major causes of species extinction. The mosaic of vegetation types, which contributes to the incredible diversity of the tropics is highly impacted by large-scale fragmentation. The main causes of such habitat fragmentation are selective logging for valuable timber and agricultural clearance. The knowledge of the short and long-term effects of removing selected species in the tropical rainforests are scarce and need to be further investigated. Some studies about the effects of tropical forest disturbance in the short term have been conducted, but in the long term, there is limited knowledge. In this paper, I consider a system of coupled ordinary differential equations (ODEs) that modelled the dynamics of tropical rainforest subject to selective logging to understand how and why weeds and vine displace and limit tree species. From the empirical data collected on canopy height and plant diversity and the model proposed, I have the evidence of a decreasing tree diversity in tropical forests subject to management in comparison with to the same but untouched forests. [ABSTRACT FROM AUTHOR]

Forest biomass is a renewable resource that is increasingly utilised for bioenergy purposes in Sweden, which along with the extraction of industrial wood may conflict with biodiversity conservation. The aim of this paper is to present a method for integrated sustainability assessment of forest biomass extraction, particularly from bioenergy and biodiversity perspectives. The landscape simulator LandSim was developed and linked with models for the assessment of biomass yields and habitat networks representing prioritised biodiversity components. It was applied in a case study in Kronoberg County in southern Sweden. Forest growth and management were simulated for the period 2010–2110, following two land zoning scenarios, one applying even-aged forest management on all forest land except for protected areas (EAF-tot), and one applying continuous cover forest management on parts of the forest land, combined with protected areas and an intensified even-aged management on the other parts (CCF-int). The EAF-tot scenario implied higher yields of biomass feedstock for bioenergy, the CCF-int scenario only giving 66% of that yield, while the CCF-int scenario performed substantially better when it came to the habitat network indicators, if habitat suitability was ensured. Conclusively, the case study confirmed that the modelling framework of the LEcA tool, linking the landscape simulator LandSim with the biomass yield assessment and the habitat network model can be used for integrating main policy concerns when assessing renewable energy options. [ABSTRACT FROM AUTHOR]

Abstract: There is a long tradition of sustainable forest policy in Finland. Today, forests should be managed on the basis of the principles of sustainable forestry. However, economics have driven such forestry practices, resulting in dramatic changes to the natural structure and dynamics of Finnish forests. Commercial forests should, however, also provide habitats for various organisms, and forestry activities should not reduce forest biodiversity. Indicators can provide useful information on the ecological status and trends in sustainable forestry, such information can then be used by decision-makers. In attempts to develop accurate and reliable indicators, it has been suggested that statistical data, inventory data and data on many taxa may prove useful. The richness of game species and the abundance of the Siberian flying squirrel have been considered as candidate indicators for sustainable forestry. Indicators of sustainable forestry are commonly used separately and the interrelations between the ecological, economic and social dimensions of forestry have rarely been studied. In this paper we examine associations between the abundance of animal species (16 game species and Siberian flying squirrels) and their co-occurrence with forest structural characteristics that are considered to be indicators of sustainable forestry. We were also interested in examining regional patterns of the variables, and determining which socio-economic indicators and land-use factors were associated (positively or negatively) with areas of forest for which there were indicators suggesting a good ecological condition. The study area consisted of 39 observation units. Based on our exploratory and descriptive analyses we suggest that using indices for different wildlife species groups and relative abundances of the Siberian flying squirrel together with forest structural characteristics and adequate socio-cultural variables could provide relevant information about trends in sustainable forestry. The application of indicators always depends on socio-cultural contexts and biogeographical factors, and these must be taken into consideration when making predictions or comparing different regions. [Copyright &y& Elsevier]

Abstract: A perennial issue for land use policy is the evaluation of landscape biodiversity and the associated cost effectiveness of any biodiversity conservation policy actions. Based on the CUA methodology as applied to species conservation, this paper develops a methodology for evaluating the impact on habitats of alternative landscape management scenarios. The method incorporates three dimensions of habitats, quantity change, quality change and relative scarcity, and is illustrated in relation to the alternative landscape management scenarios for the Scottish Highlands (Cairngorms) study area of the BioScene project. The results demonstrate the value of the method for evaluating biodiversity conservation policies through their impact on habitats. [Copyright &y& Elsevier]