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Green Goal for the 2010 FIFA World Cup in South Africa

Das Projekt "Green Goal for the 2010 FIFA World Cup in South Africa" wird/wurde ausgeführt durch: Öko-Institut. Institut für angewandte Ökologie e.V..

HOBOS - HOneyBee Online Studies

Das Projekt "HOBOS - HOneyBee Online Studies" wird/wurde ausgeführt durch: Universität Würzburg, Theodor-Boveri-Institut für Biowissenschaften, Biozentrum, Bienenforschungsgruppe.Seit 2006 hat der Bienenexperte Prof. Dr. Jürgen Tautz die HOneyBee Online Studies (HOBOS) als ein neues, interaktives Schulkonzept entwickelt. HOBOS existiert in seinen ersten Vorstufen seit dem 1. Juni 2009 und erlaubte in der Pilotphase ausgewählten Schulklassen aus neun Ländern über das Internet in einen echten Honigbienenstock vorzudringen. Zu den Ländern zählen Deutschland, USA, China, Luxemburg, Nordirland, Italien, Südafrika, Schweiz und Jordanien. Das Projekt wurde mehrfach ausgezeichnet. Die offizielle Schirmherrin von HOBOS ist seit April 2011 HRH Prinzessin Basma bint Ali von Jordanien, die Cousine des Staatsoberhaupts des Königreichs Jordanien HM König Abdullah II. Prof. Dr. Jürgen Tautz leitet das HOBOS-Projekt, das im Biozentrum der Universität Würzburg beheimatet ist. Ein speziell für diese Anforderungen konstruierter Bienenstock ist mit Sensoren, Messgeräten und mehreren Kameras, auch Wärmebildkamera, ausgestattet. So werden die Orwellschen Visionen (1984) für die Bewohner dieser speziellen Bienenbehausung Wirklichkeit, aber zum Nutzen von interessierten Menschen. Alle Daten sind online abrufbar, werden aber auch langfristig gespeichert. Besuchen Sie http://www.hobos.de/ um die aktuellsten Informationen über das Projekt zu erhalten.

Model Output Statistics for CAPE TOWN (INT. AIRPORT) (68816)

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 MOSSEL BAY (CAPE ST. BLAIZE) (68928)

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 CAPE POINT (68916)

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 BARKLY EAST (68558)

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 ]

Improving the Livelihood of the Rural Population through the Production of Bushmeat in Ghana

Das Projekt "Improving the Livelihood of the Rural Population through the Production of Bushmeat in Ghana" wird/wurde gefördert durch: Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH / Stiftung Walderhaltung in Afrika. Es wird/wurde ausgeführt durch: Universität Hamburg, Arbeitsbereich für Weltforstwirtschaft und Institut für Weltforstwirtschaft des Friedrich-Löffler-Institut, Bundesforschungsinstitut für Tiergesundheit.Background: Ghanas transition forests, neighbouring savannahs and timber plantations in the Ashanti region face a constant degradation due to the increased occurrence of fires. In most cases the fires are deliberately set by rural people for hunting purposes. Main target is a cane rat, here called grasscutter (Thryonomys swinderianus), whose bushmeat is highly esteemed throughout the country. The animal is a wild herbivorous rodent of subhumid areas in Africa south of the Sahara. The grasscutter meat is an important source of animal protein. Existing high-value timber plantations (mainly Teak, Tectona grandis) are affected by fires for hunting purposes. Thus resulting in growth reduction, loss of biomass or even complete destruction of the forest stands. It became obvious that solutions had to be sought for the reduction of the fire risk. Objectives: Since 2004 the Institute for World Forestry of the Federal Research Centre for Forestry and Forest Products, Hamburg, Germany is cooperating with a Ghanaian timber plantation company (DuPaul Wood Treatment Ltd.) the German Foundation for Forest Conservation in Africa (Stiftung Walderhaltung in Afrika) and the Center for International Migration with the purpose to improve the livelihood of the rural population in the surroundings of the forest plantation sites and simultaneously to safeguard and improve the timber plantations. The introduction of grasscutter rearing systems to local farmers accompanied by permanent agricultural and agroforestry practices appeared to be a promising approach for the prevention of fires in the susceptible areas. Additionally a functioning grasscutter breeding system could contribute to the improvement of food security, development of income sources and the alleviation of poverty. The following measures are implemented: - Identification of farmers interested in grasscutter captive breeding, - Implementation of training courses for farmers on grasscutter rearing, - Delivery of breeding animals, - Supervision of rearing conditions by project staff, - Development of a local extension service for monitoring activities, - Evaluation of structures for grasscutter meat marketing. Results: After identification of key persons for animal rearing training courses were successfully passed and animals were delivered subsequently. Further investigations will evaluate the effects of the grasscutter rearing in the project region. This will be assessed through the - Acceptance of grasscutter rearing by farmers, - Success of the animal caging, - Reproduction rate, - Meat quality, - Marketing success of meat, - Reduction of fire in the vicinity of the timber plantations, - Improvement of peoples livelihood.

Anbau heimischer Wildpflanzen als Nutzpflanzen in semi-ariden Gebieten

Das Projekt "Anbau heimischer Wildpflanzen als Nutzpflanzen in semi-ariden Gebieten" wird/wurde ausgeführt durch: Universität Münster, Institut für Ökologie der Pflanzen.Es gibt in der suedlichen Kalahari eine Reihe von Wildpflanzen, die von Einheimischen zur Ernaehrung von Tier und Mensch genutzt werden. Ueber den gezielten und kontrollierten Anbau und die damit moegliche Ertragssteigerung durch flankierende Massnahmen ist bisher nichts bekannt. Auf der Farm Avontuur 120 km nordoestlich von Kuruman soll der Anbau von Tylosema esculentum und Vigna lobatifolia erprobt werden. In den letzten Jahren hat der Farmer eine spezielle Technik zur Speicherung von Bodenwasser entwickelt, dessen Eignung fuer den Anbau dieser Pflanzen geprueft werden soll. Tylosema esculentum ist eine ausdauernde Leguminose, deren Samen genutzt werden. Vigna lobatifolia ist eine einjaehrige Leguminose, deren Wurzelknollen gemessen werden.

Model Output Statistics for GOUGH ISLAND (68906)

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 PORT ELIZABETH (68842)

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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