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Using soil-vegetation-atmosphere models and down scaled global climate scenarios to assess the impact of climate change in Morogoro region, Tanzania

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dc.creator Bobert, J.
dc.creator Dietrich, O.
dc.creator Dietz, J.
dc.creator Festo, R.
dc.creator Kashaigili, J.
dc.creator Sieber, S.
dc.creator Tscherning, K.
dc.date 2017-06-03T11:36:14Z
dc.date 2017-06-03T11:36:14Z
dc.date 2010
dc.date.accessioned 2022-10-25T08:50:46Z
dc.date.available 2022-10-25T08:50:46Z
dc.identifier https://www.suaire.sua.ac.tz/handle/123456789/1548
dc.identifier.uri http://hdl.handle.net/123456789/90620
dc.description ReACCT (Resilient Agro-landscapes to Climate Change in Tanzania) aims at assessing the regional impacts of climate change on agriculture and environment in the Morogoro region of Tanzania and at designing adaptation strategies and practices for small-scale agriculture and land use. The sub-project crop-soil modelling concentrates on model based estimations of climate change impacts on current land use systems and practices. At three research sites, distri- buted over the project region and with distinct climates, field trials are conducted to assess the yield potential of widely-used maize and sorghum varieties. The data obtained from the study are used to calibrate multiple soil-vegetation-atmosphere models ranging from rather simple to process-oriented models, which are able to simulate the bio-geophysical interactions between climate, soil and vegetation. These models are sensitive to changes concerning soil hydrology, nutrient cycling, and crop response to assess combined clima- te change and management effects on crop production, water resources and soil fertility. Combined with downscaled global climate scenarios, these models evaluate the best mana- gement practices for future climatic conditions. In another approach tested at sites at the Sokoine University in Morogoro the effects of including trees into the farming systems are investigated. Here the maize and sorghum varieties taken into account are cultivated at one site under standard conditions, whereas at the second site the plants are shaded by native Acacia trees. The effects of the shading on growth and development are measured in situ as well as the water use of trees and crops to quantify water competition between the plants. The interrelationship of these processes is modelled using the Water, Nutrient and Light Capture in Agroforestry Systems (WaNuLCAS) model, which has been developed at the World Agroforestry Centre.
dc.format application/pdf
dc.language en
dc.publisher Tropentag
dc.subject Adaptation
dc.subject Agroforestry
dc.subject Climate change
dc.subject Crop modelling
dc.subject Global climate scenarios
dc.subject Tanzania
dc.title Using soil-vegetation-atmosphere models and down scaled global climate scenarios to assess the impact of climate change in Morogoro region, Tanzania
dc.type Article


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