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Author (up) Baum, Z. openurl 
  Title The Economic Impact of Water Scarcity Under Diverse Water Qualities and Desalination Policies: The Case of Israel Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords TradeM  
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  Area Expedition Conference TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2302  
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Author (up) Baum, Z. url  openurl
  Title Assessing the impact of climate change on agriculture and a water economy with a diverse mix of water types – the Israeli case study Type Conference Article
  Year 2013 Publication Abbreviated Journal  
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  Keywords TradeM  
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  Area Expedition Conference MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2301  
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Author (up) Baum, Z.; Palatnik, R.R. url  openurl
  Title Assessing the Impact of Climate Change on the Israeli Water Economy via a Linked CGE and Farm-Level Model Type Conference Article
  Year 2013 Publication Abbreviated Journal  
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  Keywords TradeM  
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  Area Expedition Conference MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2303  
Permanent link to this record
 

 
Author (up) Baum, Z.; Palatnik, R.R.; Kan, I.; Rapaport-Rom, M. url  doi
openurl 
  Title Economic Impacts of Water Scarcity Under Diverse Water Salinities Type Journal Article
  Year 2016 Publication Water Econs. Policy Abbreviated Journal Water Econs. Policy  
  Volume 02 Issue 01 Pages 1550013  
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  Abstract Exploitation of alternative water sources is expected to grow in the decades to come in water-stressed countries with fast population growth, especially in regions where a further decline of natural freshwater availability is expected due to climate change. Increasing utilization of non-freshwater usually leads to salinity build-up in fields and water sources as well as accumulation of various pollutants — both having a considerable impact on the suitability of non-freshwater for irrigation due to constraints associated with crop salinity tolerance and food safety regulations. We developed a linked Computable General Equilibrium (CGE) — farm-level model of a water economy with representation for multiple water types characterized by different qualities. We employ the model to assess the impact of water shortage on the Israeli economy, where steadily growing water scarcity leads to an increasing utilization of alternative water sources. We simulate water shortage scenarios based on the Long Term National Master Plan for The Water Economy developed by the Israeli Water Authority (IWA). The linked CGE — farm-level model provides a mechanism for estimating the Constant Elasticity of Substitution (CES) rates between different irrigation water types used in agriculture. This mechanism accounts for the effects of salinity on yields and takes into consideration food safety regulations for irrigating crops with treated wastewater. We demonstrate that, in contrast to previous studies, CES rates between different water types are not identical. The CES rates obtained in our study have relatively low values, which can be attributed to the constraints associated with crop salinity tolerance and food safety regulations. Our results reveal that water shortage can lead to a significant decline of Israel’s GDP, where a considerable part of the decline is attributed to the decrease in agricultural outputs. The magnitude of the impact depends on the underlying assumptions regarding future desalination capacity. To further study the effect of desalination, we run simulations under various desalination levels and examine its impact on the GDP. We also examine the extent to which the impact of water shortage is sensitive to CES rates between different irrigation water types.  
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  Language English Summary Language Original Title  
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  ISSN 2382-624x ISBN Medium Article  
  Area Expedition Conference  
  Notes TradeM Approved no  
  Call Number MA @ admin @ Serial 4656  
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Author (up) Bellocchi, G. url  openurl
  Title Fuzzy-logic based multi-site crop model evaluation Type
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 5 Issue Pages Sp5-5  
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  Abstract The most common way to evaluate simulation models is to quantify the agreement between observations and simulations via statistical metrics such as the root mean squared error and the linear regression coefficient of determination. It is agreed that the aggregation of metrics of different nature intro integrated indicators offers a valuable way to assess models. Expanded notions of model evaluation that have recently emerged, based on the trade-off between properties of the model and agreement between predictions and actual data under contrasting conditions, integrate sensitivity analysis measures and information criteria for model selection, as well as concepts of model robustness, and point to expert judgments to explore the importance of different metrics. As a FACCE MACSUR CropM-LiveM action, a composite indicator (MQIm: Model Quality Indicator for multi-site assessment) was elaborated, by a group of specialists, on metrics commonly used to evaluate crop models (with extension to grassland models) while also integrating aspects of model complexity and stability of performances. The indicator, based on fuzzy bounds applied to a set of weighed metrics, was first revised by a broader group of modellers and then assessed via questionnaire survey of scientists and end-users. We document a crop model evaluation in Europe and assess to what extent the MQIm reflects the main components of model quality and supports inferences about model performances. No Label  
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  Area Expedition Conference MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2120  
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