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  • 1
    Monograph available for loan
    Monograph available for loan
    Frankfurt am Main : Fischer
    Call number: PIK N 453-07-0280 ; PIK N 453-08-0265
    Type of Medium: Monograph available for loan
    Pages: 224 S. , 190 mm x 125 mm
    Edition: Orig.-Ausg., 1. Aufl
    ISBN: 359617273X , 978-3-596-17273-3
    Series Statement: Forum für Verantwortung 17273
    Location: A 18 - must be ordered
    Location: A 18 - must be ordered
    Branch Library: PIK Library
    Branch Library: PIK Library
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  • 2
    Publication Date: 2023-08-01
    Description: Changing climate conditions are supposed to have particularly strong impacts on agricultural production in the tropics with strong implications on food security. Ethiopia’s economy is profoundly dominated by agriculture, contributing to around 40% of the gross domestic product. Thereby, Ethiopia is one of the most vulnerable countries to the impact of climate change and has a wide gap in regional climate change impact studies. In this study, we systematically investigate climate change impacts on yields for the Gambella region in Ethiopia, exemplarily for maize. Here, we show how yields change until 2100 for RCPs 2.6, 4.5, and 8.5 from a climate model ensemble under rainfed and irrigated conditions. While rainfed yields decrease by 15% and 14% respectively for RCPs 2.6 and 4.5, yields decrease by up to 32% under RCP 8.5. Except for RCP 8.5, yields are not further decreasing after 2040–2069. We found that temperature increase, changing soil water availability, and atmospheric CO2 concentration have different effects on the simulated yield potential. Our results demonstrate the dominance of heat response under future climate conditions in the tropical Gambella region, contributing to 85% of total yield changes. Accordingly, irrigation will lose effectiveness for increasing yield when temperature becomes the limiting factor. CO2, on the other hand, contributes positively to yield changes by 8.9% for RCP 8.5. For all scenarios, the growing period is shorted due to increasing temperature by up to 29 days for RCP 8.5. Our results suggest that new varieties with higher growing degree days are primarily required to the region for adapting to future climate conditions.
    Description: Ludwig-Maximilians-Universität München (1024)
    Keywords: ddc:631 ; Climate change ; Agriculture ; Regional study ; Crop model
    Language: English
    Type: doc-type:article
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  • 3
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    PANGAEA
    In:  Supplement to: Meier, Jonas; Zabel, Florian; Mauser, Wolfram (2018): A global approach to estimate irrigated areas – a comparison between different data and statistics. Hydrology and Earth System Sciences, 22(2), 1119-1133, https://doi.org/10.5194/hess-22-1119-2018
    Publication Date: 2023-01-13
    Description: Agriculture is the largest global consumer of water. Irrigated areas constitute 40 % of the total area used for agricultural production (FAO, 2014a) Information on their spatial distribution is highly relevant for regional water management and food security. Spatial information on irrigation is highly important for policy and decision makers, who are facing the transition towards more efficient sustainable agriculture. However, the mapping of irrigated areas still represents a challenge for land use classifications, and existing global data sets differ strongly in their results. The following study tests an existing irrigation map based on statistics and extends the irrigated area using ancillary data. The approach processes and analyzes multi-temporal normalized difference vegetation index (NDVI) SPOT-VGT data and agricultural suitability data - both at a spatial resolution of 30arcsec - incrementally in a multiple decision tree. It covers the period from 1999 to 2012. The results globally show a 18 % larger irrigated area than existing approaches based on statistical data. The largest differences compared to the official national statistics are found in Asia and particularly in China and India. The additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated. The validation with global and regional products shows the large divergence of existing data sets with respect to size and distribution of irrigated areas caused by spatial resolution, the considered time period and the input data and assumption made.
    Type: Dataset
    Format: application/zip, 4.5 MBytes
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