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Integrierte Schädlingsbekämpfung in Lychee (Litchi chinensis) in Bergregionen Nordthailands

Die ökologische Nachhaltigkeit der Anbausysteme in Bergregionen Thailands wird durch Erosion, Abnahme der Bodenfruchtbarkeit, sowie hohen Druck durch Unkräuter und Schädlinge in Frage gestellt. Die Lychee-Produktion im Untersuchungsgebiet ist gekennzeichnet von suboptimaler Bestandesführung und starkem Befallsdruck durch die Schädlinge Aceria litchi, Conopomorpha sinensis, Indarbela dea und Tessaratoma papillosa, der zu schweren Ertragsverlusten führt. In dieser Untersuchung soll die Wirksamkeit von Azadirachtin, Bacillus thuringiensis, Beauveria bassiana, Steinernema carpocapsae und synthetischen Akariziden (u.a. Spiromesifen) auf die Schadorganismen in Laborversuchen ermittelt werden. Auf Grundlage dieser Ergebnisse sowie der Erfahrungen örtlicher Landwirte sollen dann verschiedene Kontrollmethoden integriert und unter Feldbedingungen erprobt werden.

Bedeutung der Mineralstoffernährung der Pflanzen für ihre Resistenz gegenüber Schadorganismen unter besonderer Berücksichtigung der Wirkungen von Silizium und Calcium auf bodenbürtige Krankheiten

Im geschützten Anbau ist mit einem verstärkten Auftreten von pilzlichen Schaderregern, insbesondere Wurzelpathogenen zu rechnen. Im geschützten Anbau am Standort Bangkok ist an der vorgesehenen Hauptkultur Tomate mit einem erhöhten Befall mit Pythium zu rechnen. In diesem Teilprojekt soll am Standort Bangkok durch einen Gewächshausversuch versucht werden, die Wirkung der Ca- und Si-Versorgung in Wechselwirkung mit der Stickstoffversorgung der Pflanzen auf die Infektion, den Infektionsverlauf von Pythium zu charakterisieren und die Wirkung auf den Ertrag der Kulturen zu quantifizieren. Parallel zu den Vegetationsversuchen soll unter kontrollierten Bedingungen in Hannover schwerpunktmäßig der Einfluß von Si und Ca auf das Pathosystem Tomate/Pythium detaillierter untersucht werden. Hierbei stehen im Mittelpunkt (i) die Quantifizierung im Wurzelapoplasten der Ca-, Si-Gehalte und -Bindungsformen und von für den Pilzbefall und die pflanzliche Reaktion auf den Pilzbefall charakteristischen Enzymaktivitäten und Metaboliten in Beziehung zu Infektion und Infektionsverlauf, (ii) die Charakterisierung des Infektionsverlaufes innerhalb des Wurzelsystems unter besonderer Berücksichtigung von Wurzelalter, lokalen Infektionsquellen und lokalem Si, und Ca-Angebot und (iii) die Charakterisierung des Leistungs- und Kompensationsvermögens des Wurzelsystems in Abhängigkeit von Intensität und Verlauf des Krankheitsbefalls. Ziel des Teilprojektes ist es, den möglichen Beitrag der Ca- und Silizium-Versorgung der Pflanzen zur Optimierung der Pflanzengesundheit am Beispiel des Pathosystems Tomate/Pythium zu erarbeiten und unter praktischen Anbaubedingungen zu überprüfen.

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.

Model Output Statistics for BANGKOK METROPOLIS (48455)

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 SUVARNABHUMI (INT. AIRPORT) (48429)

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 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 PHATTAYA (48461)

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 ]

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