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Bambusbewohnende Bohrfliegen Südostasiens (Tephrittidae: Acanthonevrini und Gastrozonina) - Lebenszyklusstrategien und Evolution einer 'ungewöhnlichen' Fliegengruppe

Die Acanthonevrini und Gastrozonina umfassen über 100 Arten und sind die einzigen Bohrfliegen, die an monokotyledonen Pflanzen leben. Die meisten dieser als ursprünglich geltenden Bohrfliegen kommen in der orientalischen Region vor. Ihre Larven minieren hauptsächlich an Bambus, vor allem in lebenden oder abgestorbenen jungen Sprösslingen. Eigene Untersuchungen an 'Bambus-Tephritiden' haben gezeigt, dass diese Tiere sehr vielfältige und ungewöhnliche Lebensweisen haben. Larven mancher dieser eigentlich terrestrischen Tiere sind aquatisch, andere Arten haben komplexe Balzverhaltensweisen entwickelt, bei denen die Männchen schaumartige Substanzen als 'Brautgeschenke' übergeben. Die Larven einiger Arten nutzen Bohrlöcher von Käfern, um in den Bambushalm zu gelangen. Das Forschungsvorhaben soll in zwei klimatischen unterschiedlichen Gebieten stattfinden: in West-Malaysia und Nord-Thailand. Die Freilandarbeiten in beiden Gebieten sollen hauptsächlich in den Monaten Juli bis Dezember erfolgen, d.h. in der Jahreszeit, in der junge Bambussprösslinge nachwachsen. Die Hauptziele des geplanten Projektes sind, neben bisher üblichen morphologischen Untersuchungen auch die Biologie der Bambustephritiden detailliert zu untersuchen, um dann mit unterschiedliche Datensätze (Morphologie der Adulten, Larven, Verhalten) ihre Phylogenese mit kladistischen Methoden zu rekonstruieren. Auf dieser Grundlage wollen wir testen, wie sich bestimmte Lebenszykluscharaktere oder Balzrituale entwickelt haben könnten. Von der Untersuchung erwarten wir, dass sie unser Verständnis über die Evolution der gesamten Familie Tephritidae er....

Support for development of CDM projects in Thailand

The objective of the project is to support the client for successful development of CDM projects in the agro-industry sector in Thailand. Sector for CDM project development is agro-industry with focus on starch factories. Starch industry is highly energy intensive and produces significant amounts of wastewater. Furthermore, as part of the Cassava processing, pulp is separated as organic waste. The projects aim to introduce biogas generation from organic waste in starch production and decrease the factories dependence on fossil fuels. The supported CDM projects consist of two components: methane avoidance and fuel switch of electricity from the grid and fossil fuels to renewable energy. The technical solutions included the treatment of wastewater and pulp from starch industry for biogas production. The generated biogas will be used for electricity and heat generation. The development of the projects as CDM projects enables co-financing of the investment via the carbon sales. Services provided: The support consisted of 3 packages: Revision of the PDD for biogas from wastewater project: Technical revision of the Project Design Document as a '3rd party'; Assessment and revision of the 'additionality of the project and emission reduction calculations; Development of the PDD for the pulp to energy biogas projects: Development of a project design document (PDD) according to the regulations of the Kyoto protocol; Assessment and demonstration of the 'additionality of CDM projects which use pulp from starch factories for biogas generation; Preparation of the study about the pulp in the starch factories in Thailand: Development of the concept for the study; Determination of methodology, approach and stakeholders for the study development.

Issues and Challenges for an Energy Program of HBF in Thailand

Model Output Statistics for HUA HIN (48475)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for CHIANG MAI (48327)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for KO SAMUI ISL. (48550)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for HAT YAI AIRPORT (48569)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for BANGKOK (DON MUANG AIRP.) (48456)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for PHUKET (48564)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Stakeholders, Interests and Power as Drivers of Community Forestry: Comparative Analysis of Albania, Germany, Cameroon, Indonesia, Namibia, Nepal and Thailand

Community forestry has not met the great public expectations on a significant contribution to sustainable forestry yet. Recent research in the management and policy of community forestry describes a complex process of multi level social choice which determines the outcomes. Our hypothesis is that the key factors determining the outcomes of community forestry are the interests and power of the external stake holders. This hypothesis will be tested in a comparative quantitative and qualitative analysis. In seven countries comprising developed and developing countries 84 cases will be used for comparison. The comparative analysis will be carried out by one PhD student financed by the project. He will do the field work in close cooperation with PhD students who are already conducting their PhD analysis the different countries. The comparative analysis is aimed to explore key drivers of community forestry which are not yet identified in literature.

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