Colonization and development of Oribatida mite communities (Acari: Oribatida) in the forest reclaimed limestone mine dumps

In order to study the colonization and development of moss mites (Oribatida) communities in a Scots pine forest of a reclaimed limestone mine dump in Northern Poland, 3 plots from the dump were chosen. The selected plots differed in age, 5 years old, 35 and 50 years old. From a total of 30 samples 499 mites (Acari) were extracted in Tullgren funnel from which 262 were Oribatida. Abundance (N) was analyzed in all mites and after determining the species of both, juvenile and adult stages of oribatids, the following indices were analyzed: Abundance (N), Dominance (D), Species diversity (S), Species richness (s) and Shannon’s diversity index (H). Regarding to the results obtained; oribatid mites were dominant with the highest abundance in all assemblages (Plot 1: 139 Oribatida /299 Acari. Plot 2: 40/55 and Plot 3: 83/145). Tectocepheus velatus showed a very high dominance (45,99%) in plot 1; the highest value for Shannon’s diversity index belonged to plot 3. On the other hand, juvenile’s percentage was significantly higher than adult’s percentage, especially at plot 2 (95,02%). These results made us to conclude that the high abundance of oribatids in the youngest forest is due to T. velatus’s high abundance and that plot 3 is the best habitat for mites. Finally, the high occurrence of juvenile stages requires keeping on studying the area.

Classifying Ecosystem Services for Economic Valuation: The case of forest water services

30 p.

Economic Assessment of Forest Ecosystem Services Losses: Cost of Policy Inaction

52 p.

Modeling the Links between Biodiversity, Ecosystem Services and Human Wellbeing in the Context of Climate Change: Results from an Econometric Analysis on the European Forest Ecosystems

25 p.

Generación de energía eléctrica por combustión de biomasa forestal mediante ciclo rankine. Central de 2MW

[ES]Este proyecto se centra en el estudio y diseño de una central de generación de energía eléctrica por medio de biomasa forestal. La motivación para la realización de este proyecto reside en la gran importancia que en los últimos años están tomando las energías renovables. El Calentamiento Global es un hecho que durante los últimos años ha llevado a la investigación y desarrollo de las energías alternativas, que frenan o contribuyen al ralentizamiento de este fenómeno. Por su parte la implantación de una planta como la que se estudia a continuación, no solo ayudaría a la reducción de emisiones netas de CO2 a la atmósfera, sino que también tendría numerosas ventajas como son la creación de empleo, la limpieza de bosques, lo que ayuda a la prevención de incendios y plagas, y proporcionaría una independencia energética. Los pasos que se van a seguir en el proyecto son los siguientes:  Explicar el alcance y los objetivos del proyecto. Desarrollar las posibles alternativas que existen para la valorización de la biomasa forestal, incluyendo un resumen de las ventajas y desventajas que cada una presenta. Informe detallado de la alternativa seleccionada, la combustión, que incluye la explicación del proceso en la planta desde que el residuo sale del bosque, hasta la obtención de la energía eléctrica. Análisis económico y rentabilidad de la planta. Realizar el cronograma del proyecto. Por último se realizará un análisis de los posibles riesgos.

Study and comparison of four forest structures on Mt. Chortiatis (northern Greece)

EL proyecto estudia y analiza la estructura de cuatro bosques en el monte Chortiatis, Grecia.

BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data

A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper. The tool was built from standard ArcGIS (TM) libraries. It computes several of the spectral indexes most commonly used in burned area detection and implements a two-phase supervised strategy to map areas burned between two Landsat multitemporal images. The only input required from the user is the visual delimitation of a few burned areas, from which burned perimeters are extracted. After the discrimination of burned patches, the user can visually assess the results, and iteratively select additional sampling burned areas to improve the extent of the burned patches. The final result of the BAMS program is a polygon vector layer containing three categories: (a) burned perimeters, (b) unburned areas, and (c) non-observed areas. The latter refer to clouds or sensor observation errors. Outputs of the BAMS code meet the requirements of file formats and structure of standard validation protocols. This paper presents the tool's structure and technical basis. The program has been tested in six areas located in the United States, for various ecosystems and land covers, and then compared against the National Monitoring Trends in Burn Severity (MTBS) Burned Area Boundaries Dataset.