Records |
Author |
Schürkmann, A. |
Title |
Estimating the benefit-cost ratio of infrastructural measures to increase water supply for irrigation on a global scale |
Type |
Book Whole |
Year |
2013 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Thesis |
Master's thesis |
Publisher |
Potsdam Institute for Climate Impact Research |
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M.Sc. |
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M.Sc. |
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Notes |
TradeM |
Approved |
no |
Call Number |
MA @ admin @ |
Serial |
5145 |
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Author |
Lotze-Campen, H. |
Title |
EU-level assessments and scenarios |
Type |
Conference Article |
Year |
2015 |
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TradeM |
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Conference |
Climate-change impacts on farming systems in the next decades — why worry when you have CAP? A FACCE MACSUR workshop for policymakers, Brussels, 2015-05-06 to 2015-05-06 |
Notes |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2615 |
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Author |
Lotze-Campen, H. |
Title |
EU-level assessments and scenarios |
Type |
Conference Article |
Year |
2015 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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Volume |
6 |
Issue |
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Pages |
SP6-8 |
Keywords |
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Abstract |
Shared socio-economic pathways are used to look at particular possible futures of major trends in global socio-economic trends (e.g. global population, GDP, urbanization, strength of political institutions, international trade). These scenarios make no inference to their likelihood of becoming true. These scenarios are used in MACSUR to assess different questions, e.g.•What is the future of agricultural prices?•How will agricultural production and food consumption evolve?•How will climate change impacts and mitigation affect…–Prices–Land use–Trade–Undernourishment No Label |
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Place of Publication |
Brussels |
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Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers |
Notes |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2087 |
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Author |
Sieber, S.; Amjath-Babu, T.S.; McIntosh, B.S.; Tscherning, K.; Müller, K.; Helming, K.; Pohle, D.; Fricke, K.; Verweij, P.; Pacini, C.; Jansson, T.; Gomez y Paloma, S. |
Title |
Evaluating the characteristics of a non-standardised Model Requirements Analysis (MRA) for the development of policy impact assessment tools |
Type |
Journal Article |
Year |
2013 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
Volume |
49 |
Issue |
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Pages |
53-63 |
Keywords |
impact assessment tools; iat; siat; sustainability; model requirements analysis; user requirement analysis; support; systems; design; methodology; management; decision; science |
Abstract |
The aim of this paper is to provide a critical analysis of the strengths and weaknesses of a non-standardised Model Requirements Analysis (MRA) used for the purpose of developing the Sustainability Impact Assessment Tool (SIAT). By ‘non-standardised’ we mean not strictly following a published MRA method. The underlying question we are interested in addressing is how non-standardised methods, often employed in research driven projects, compare to defined methods with more standardised structure, with regards their ability to capture model requirements effectively, and with regards their overall usability. Through describing and critically assessing the specific features of the non-standardised MRA employed, the ambition of this paper is to provide insights useful for impact assessment tool (IAT) development. Specifically, the paper will (i) characterise kinds of user requirements relevant to the functionality and design of IATs; (ii) highlight the strengths and weaknesses of non-standardised MRA for user requirements capture, analysis and reflection in the context of IAT; (iii) critically reflect on the process and outcomes of having used a non-standardised MRA in comparison with other more standardised approaches. To accomplish these aims, we first review methods available for IAT development before describing the SIAT development process, including the MRA employed. Major strengths and weaknesses of the MRA method are then discussed in terms of user identification and characterisation, organisational characterisation and embedding, and ability to capture design options for ensuring usability and usefulness. A detailed assessment on the structural differences of MRA with two advanced approaches (Integrated DSS design and goal directed design) and their role in performance of the MRA tool is used to critique the approach employed. The results show that MRA is able to bring thematic integration, establish system performance and technical thresholds as well as detailing quality and transparency guidelines. Nevertheless the discussion points out to a number of deficiencies in application – (i) a need to more effectively characterise potential users, and; (ii) a need to better foster communication among the distinguished roles in the development process. If addressed these deficiencies, SIAT non-standardised MRA could have brought out better outcomes in terms of tool usability and usefulness, and improved embedding of the tool into conditions of targeted end-users. (C) 2013 Elsevier Ltd. All rights reserved. |
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English |
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ISSN |
1364-8152 |
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Notes |
TradeM, ft_macsur |
Approved |
no |
Call Number |
MA @ admin @ |
Serial |
4506 |
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Author |
Zhao, G.; Hoffmann, H.; Yeluripati, J.; Xenia, S.; Nendel, C.; Coucheney, E.; Kuhnert, M.; Tao, F.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Kiese, R.; Eckersten, H.; Haas, E.; Cammarano, D.; Kassie, B.; Moriondo, M.; Trombi, G.; Bindi, M.; Biernath, C.; Heinlein, F.; Klein, C.; Priesack, E.; Lewan, E.; Kersebaum, K.-C.; Rötter, R.; Roggero, P.P.; Wallach, D.; Asseng, S.; Siebert, S.; Gaiser, T.; Ewert, F. |
Title |
Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops |
Type |
Journal Article |
Year |
2016 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
Volume |
80 |
Issue |
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Pages |
100-112 |
Keywords |
Crop model; Stratified random sampling; Simple random sampling; Clustering; Up-scaling; Model comparison; Precision gain; species distribution models; systems simulation; weather data; large-scale; design; soil; optimization; growth; apsim; autocorrelation |
Abstract |
We compared the precision of simple random sampling (SimRS) and seven types of stratified random sampling (StrRS) schemes in estimating regional mean of water-limited yields for two crops (winter wheat and silage maize) that were simulated by fourteen crop models. We found that the precision gains of StrRS varied considerably across stratification methods and crop models. Precision gains for compact geographical stratification were positive, stable and consistent across crop models. Stratification with soil water holding capacity had very high precision gains for twelve models, but resulted in negative gains for two models. Increasing the sample size monotonously decreased the sampling errors for all the sampling schemes. We conclude that compact geographical stratification can modestly but consistently improve the precision in estimating regional mean yields. Using the most influential environmental variable for stratification can notably improve the sampling precision, especially when the sensitivity behavior of a crop model is known. |
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English |
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Edition |
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ISSN |
1364-8152 |
ISBN |
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Article |
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Notes |
CropM, ft_macsur |
Approved |
no |
Call Number |
MA @ admin @ |
Serial |
4724 |
Permanent link to this record |