NERC_SHEAR

Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. By:Ferreira, MA (Ferreira, M.

A.)[ 1 ] ; Andrade, F (Andrade, F.)[ 1 ] ; Bandeira, SO (Bandeira, S. O.)[ 2 ] ; Cardoso, P (Cardoso, P.)[ 3 ] ; Mendes, RN (Mendes, R. Nogueira)[ 1 ] ; Paula, J (Paula, J.)[ 1 ] Volume: Pages: Published: View Journal Impact Impact Factor Data from the 2016 edition of Journal Citation Reports Publisher JOHN WILEY & SONS LTD, THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND Research Domain. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Issue: Pages: Published: View Journal Impact Impact Factor Data from the 2016 edition of Journal Citation Reports Publisher ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND Research Domain Abstract Recent land cover change estimates show overall decline of tropical forests at the regional and global scales caused by multiple social, cultural and economic factors.

Publisher Categories / Classification Research Areas:Environmental Sciences & Ecology Web of Science Categories:Environmental Studies. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Issue: Pages: Published: View Journal Impact.

Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. By:Winowiecki, L (Winowiecki, Leigh)[ 1 ] ; Vagen, TG (Vagen, Tor-Gunnar)[ 2 ] ; Massawe, B (Massawe, Boniface)[ 3,4 ] ; Jelinski, NA (Jelinski, Nicolas A.)[ 5 ] ; Lyamchai, C (Lyamchai, Charles)[ 6 ] ; Sayula, G (Sayula, George)[ 6 ] ; Msoka, E (Msoka, Elizabeth)[ 7 ]

Changes within Small-Scale Agriculture. A Case-Study from the Southwestern Tanzania. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Issue: Pages: Published: View Journal Impact Impact Factor Data from the 2016 edition of Journal Citation Reports Publisher CAMBRIDGE UNIV PRESS, 40 WEST 20TH STREET, NEW YORK, NY 10011-4211 Research Domain.

Climate change responses among the Maasai Community in Kenya. Generation of climate change scenarios for precipitation and temperature at local scales using SDSM in Wami-Ruvu River Basin Tanzania. The Wami-Ruvu River Basin is important for socio-economic activities in country such as water supply for Dar es Salaam and Morogoro cities, and major agricultural activities such as sugarcane irrigation at Mtibwa and Bagamoyo.

Due to projected climate change and its impacts at global scale, it is important to understand future climate change impacts on water resources of Wami-Ruvu River basin. Rainfall and temperature are key variables for analysis of water resources and were used in this study. The statistical downscaling model (SDSM) was used to downscale the coarse global circulation model (GCM) to local scales by involving predictor predictand relationship. Implications of climate-smart strategy adoption by farm households for food security in Tanzania. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume:

Characterising production environments for maize in eastern and southern Africa using the APSIM Model. <div pearltreesdevid="PTD140" role="alert" class="alert-message-container"><div pearltreesdevid="PTD141" aria-hidden="true" class="alert-message-body"><span pearltreesdevid="PTD142" style="display: inline-block;" class="Icon IconAlert"><svg pearltreesDevId="PTD143" style="width: 100%; height: 100%;" width="24" height="24" focusable="false" tabindex="-1" fill="currentColor"><path pearltreesDevId="PTD144" fill="#f80" d="M11.84 4.63c-.77.05-1.42.6-1.74 1.27-1.95 3.38-3.9 6.75-5.85 10.13-.48.83-.24 1.99.53 2.56.7.6 1.66.36 2.5.41 3.63 0 7.27.01 10.9-.01 1.13-.07 2.04-1.28 1.76-2.39-.1-.58-.56-1.02-.81-1.55-1.85-3.21-3.69-6.43-5.55-9.64-.42-.52-1.06-.83-1.74-.79z"></path><path pearltreesDevId="PTD145" d="M11 8h2v5h-2zM11 14h2v2h-2z"></path></svg></span><!

-- react-text: 55 -->JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. <! -- /react-text --></div></div> Highlights Appreciable increase in yield could be achieved by manipulating G and M. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Issue:

Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Issue: Pages: Published: View Journal Impact Impact Factor Data from the 2005 edition of Journal Citation Reports Publisher AMER METEOROLOGICAL SOC, 45 BEACON ST, BOSTON, MA 02108-3693 USA Research Domain Abstract By applying wavelet analysis and wavelet principal component analysis (WPCA) to individual wavelet-scale power and scale-averaged wavelet power, homogeneous zones of rainfall variability and predictability were objectively identified for September-November (SON) rainfall in East Africa (EA).

Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Pages: Supplement: Published: View Journal Impact Impact Factor Data from the 2016 edition of Journal Citation Reports Publisher WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: eISSN: Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Volume: Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Published: View Journal Impact Impact Factor Data from the 2016 edition of Journal Citation Reports Publisher PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND ISSN: eISSN: Research Domain Abstract The Wami-Ruvu River Basin is important for socio-economic activities in country such as water supply for Dar es Salaam and Morogoro cities, and major agricultural activities such as sugarcane irrigation at Mtibwa and Bagamoyo.

The statistical downscaling model (SDSM) was used to downscale the coarse global circulation model (GCM) to local scales by involving predictor predictand relationship. The calibrated SDSM model was then used to downscale Global Circulation Model (GCM) scenario data to the local scales. Web of Science [v.5.25.1] - Web of Science Core Collection Full Record. Informal networks and resilience to climate change impacts: A collective approach to index insurance. <div pearltreesdevid="PTD142" role="alert" class="alert-message-container"><div pearltreesdevid="PTD143" aria-hidden="true" class="alert-message-body"><span pearltreesdevid="PTD144" style="display: inline-block;" class="Icon IconAlert"><svg pearltreesDevId="PTD145" style="width: 100%; height: 100%;" width="24" height="24" focusable="false" tabindex="-1" fill="currentColor"><path pearltreesDevId="PTD146" fill="#f80" d="M11.84 4.63c-.77.05-1.42.6-1.74 1.27-1.95 3.38-3.9 6.75-5.85 10.13-.48.83-.24 1.99.53 2.56.7.6 1.66.36 2.5.41 3.63 0 7.27.01 10.9-.01 1.13-.07 2.04-1.28 1.76-2.39-.1-.58-.56-1.02-.81-1.55-1.85-3.21-3.69-6.43-5.55-9.64-.42-.52-1.06-.83-1.74-.79z"></path><path pearltreesDevId="PTD147" d="M11 8h2v5h-2zM11 14h2v2h-2z"></path></svg></span><!

-- react-text: 55 -->JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. <! -- /react-text --></div></div> HESS - Abstract - Forecasting droughts in East Africa. Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data. HESS - Abstract - A seasonal agricultural drought forecast system for food-insecure regions of East Africa. S. Shukla1,2, A. McNally1,4,5, G. Husak1, and C. Africa asia conclave vjeta. Tanzania anticipates agriculture insurance market with alacrity. Sectoral sources say authorities have already initiated the process of drafting a strategy to put in place requisite legal and regulatory frameworks for smart agriculture insurance business. The project was presented and discussed recently during the “Roundtable on the Development of Agriculture Insurance Methodology in Tanzania”, which brought together local and international insurance and reinsurance experts.

Tanzania: Farming Sector to get Robust Insurance Strategy Boost. Posted on : Saturday , 2nd July 2016. Proposed insurance policy to benefit agricultural sector in Tanzania — Singi Insurance Brokers Limited. Farming in developing countries is exposed to a variety of income uncertainties ranging from fluctuation of prices and unpredictable weather patterns, thus holding back efforts to lift people out of poverty. With the proposed insurance for farmers, the agricultural sector is likely to record a notable progress. It is well known that such uncertainties induce substantial income risks, and these can be detrimental to small or poor producers in developing countries. Such uncertainties have been blocking about 80 per cent of the population depending on farming from accessing lending houses.

“Lenders have traditionally regarded agriculture as being too risky,” said the Commissioner of Insurance and Chief Executive Officer of the Tanzania Insurance Regulatory Authority (TIRA), Mr Israel Kamuzora, at the inauguration of the Regional Certificate in Agriculture insurance programme in the country last week. The pilot project is already underway in Kilimanjaro and Manyara regions. Tanzania « ACRE Africa. Tanzania launches first mobile crop insurance scheme. Tanzania launches first mobile crop insurance scheme. FSW 07 Feasibility Study Tanzania Syngenta Foundation Kilimo Salama. Parametric Insurance: Closing the Protection Gap in Africa. Agroinsurance – Portal on Agricultural Insurance and Risk Management » Tanzania. Agroinsurance – Portal on Agricultural Insurance and Risk Management » Tanzania – Crop insurance sure to boost farmers, economy.

Tanzania is gearing up efforts for a strategy that will extend insurance coverage to agriculture sector. The idea is to ensure farmers get covered so that they cut down the amount of loss they tend to incurs in the event of calamities such as floods and drought. Farmers put a lot effort, yet they often end up frustrated when their produce is hit by disasters at the late stage. The experts say that, since rains have been largely unreliable mainly due to global warming and climate change, small-scale farmers have often seen their efforts go to waste. Insuring farmers is, therefore, a very important move, considering that agriculture, especially smallholder farming, employs about 70 per cent of Tanzania’s population.

Agriculture is also Tanzania’s economic mainstay, accounting for nearly 30 per cent of the gross domestic product (GDP). So, covering farmers with crop insurance for instance, will not only ensure yields to them but also improves the national economy. Tanzania: Farmers to Benefit From New Crop Insurance Scheme. By Pius Rugonzibwa. Rainfall Ins Tanzania. Rural household vulnerability and insurance against commodity risks. Part I Part II Part III. FACTORS AFFECTING ATTITUDE OF FARMERS TOWARDS DROUGHT INSURANCE IN TANZANIA. Adaptation to climate change in Africa: Challenges and opportunities identified from Ethiopia. Reducing climate risk for micro-insurance providers in Africa: A case study of Ethiopia. Weather based insurance in southern Africa the case of Malawi. Drought insurance for agricultural development and food security in dryland areas. Weather-Index Drought Insurance in Burkina-Faso: Assessment of Its Potential Interest to Farmers: Weather, Climate, and Society: Vol 1, No 1.