--- - attrs: Abstract: 'Major changes are occurring with far reaching implications for the existing equilibria or disequilibria in the water-energy-food-environment interface. The increased demand of energy worldwide will reflect directly and indirectly on water-dependent systems. Direct implications will come from higher energy prices, which make extraction and conveyance of water more costly. Indirect implications will be in the form of demand for alternative energy sources. It triggers demand for hydropower and remains a major driver—along with some environmental policies—for biofuel expansion. The key question is how these effects may alter water allocation and influence food security, rural poverty and environmental sustainability. This paper sets the background and context of this special issue by highlighting some of the major water-related policy issues related to the subject and provides an overview and synthesis of the papers in this special issue. Besides offering insight into how these papers address these questions in the practical context of few selected countries and basins, this paper also indicates some key areas for future research on the subject.%U ; http://wp.iwaponline.com/content/ppiwawaterpol/10/S1/1.full.pdf' Author: 'Hellegers, Petra; Zilberman, David; Steduto, Pasquale; McCornick, Peter' DOI: 10.2166/wp.2008.048 Issue: S1 Journal: Water Policy Pages: 1-10 Title: 'Interactions between water, energy, food and environment: Evolving perspectives and policy issues' Volume: 10 Year: 2008 _record_number: 23256 _uuid: f94be101-daad-4c14-9a81-81dc9e8c71c0 reftype: Journal Article child_publication: /article/10.2166/wp.2008.048 href: https://data.globalchange.gov/reference/f94be101-daad-4c14-9a81-81dc9e8c71c0.yaml identifier: f94be101-daad-4c14-9a81-81dc9e8c71c0 uri: /reference/f94be101-daad-4c14-9a81-81dc9e8c71c0 - attrs: Abstract: 'Episodes of severe weather in the United States, such as the present abundance of rainfall in California, are brandished as tangible evidence of the future costs of current climate trends. Hsiang et al. collected national data documenting the responses in six economic sectors to short-term weather fluctuations. These data were integrated with probabilistic distributions from a set of global climate models and used to estimate future costs during the remainder of this century across a range of scenarios (see the Perspective by Pizer). In terms of overall effects on gross domestic product, the authors predict negative impacts in the southern United States and positive impacts in some parts of the Pacific Northwest and New England.Science, this issue p. 1362; see also p. 1330Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change. The combined value of market and nonmarket damage across analyzed sectors—agriculture, crime, coastal storms, energy, human mortality, and labor—increases quadratically in global mean temperature, costing roughly 1.2% of gross domestic product per +1°C on average. Importantly, risk is distributed unequally across locations, generating a large transfer of value northward and westward that increases economic inequality. By the late 21st century, the poorest third of counties are projected to experience damages between 2 and 20% of county income (90% chance) under business-as-usual emissions (Representative Concentration Pathway 8.5).' Author: 'Hsiang, Solomon; Kopp, Robert; Jina, Amir; Rising, James; Delgado, Michael; Mohan, Shashank; Rasmussen, D. J.; Muir-Wood, Robert; Wilson, Paul; Oppenheimer, Michael; Larsen, Kate; Houser, Trevor' DOI: 10.1126/science.aal4369 Issue: 6345 Journal: Science Pages: 1362-1369 Title: Estimating economic damage from climate change in the United States Volume: 356 Year: 2017 _record_number: 23965 _uuid: fad9e8ec-8951-4daa-9a9c-e093ef86af16 reftype: Journal Article child_publication: /article/10.1126/science.aal4369 href: https://data.globalchange.gov/reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16.yaml identifier: fad9e8ec-8951-4daa-9a9c-e093ef86af16 uri: /reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16 - attrs: Author: 'Hawkes, Logan' Place Published: 'Irving, TX' Publisher: FarmProgress/Informa Title of Entry: Texas Rice Belt flooded by heavy rains Title of WebLog: Southwest FarmPress URL: http://www.southwestfarmpress.com/grains/texas-rice-belt-flooded-heavy-rains Year: 2016 _record_number: 23289 _uuid: fbcfc7c8-d3b5-4812-a14f-d0c9f1267531 reftype: Blog child_publication: /webpage/f92f02b6-abbc-4dba-b112-a70954a58412 href: https://data.globalchange.gov/reference/fbcfc7c8-d3b5-4812-a14f-d0c9f1267531.yaml identifier: fbcfc7c8-d3b5-4812-a14f-d0c9f1267531 uri: /reference/fbcfc7c8-d3b5-4812-a14f-d0c9f1267531 - attrs: Abstract: 'The Southern High Plains is anticipated to experience significant changes in temperature and precipitation due to climate change. These changes may influence the lesser prairie-chicken (Tympanuchus pallidicinctus) in positive or negative ways. We assessed the potential changes in clutch size, incubation start date, and nest survival for lesser prairie-chickens for the years 2050 and 2080 based on modeled predictions of climate change and reproductive data for lesser prairie-chickens from 2001–2011 on the Southern High Plains of Texas and New Mexico. We developed 9 a priori models to assess the relationship between reproductive parameters and biologically relevant weather conditions. We selected weather variable(s) with the most model support and then obtained future predicted values from climatewizard.org. We conducted 1,000 simulations using each reproductive parameter’s linear equation obtained from regression calculations, and the future predicted value for each weather variable to predict future reproductive parameter values for lesser prairie-chickens. There was a high degree of model uncertainty for each reproductive value. Winter temperature had the greatest effect size for all three parameters, suggesting a negative relationship between above-average winter temperature and reproductive output. The above-average winter temperatures are correlated to La Niña events, which negatively affect lesser prairie-chickens through resulting drought conditions. By 2050 and 2080, nest survival was predicted to be below levels considered viable for population persistence; however, our assessment did not consider annual survival of adults, chick survival, or the positive benefit of habitat management and conservation, which may ultimately offset the potentially negative effect of drought on nest survival.' Author: 'Grisham, Blake A.; Boal, Clint W.; Haukos, David A.; Davis, Dawn M.; Boydston, Kathy K.; Dixon, Charles; Heck, Willard R.' DOI: 10.1371/journal.pone.0068225 Issue: 7 Journal: PLOS ONE Pages: e68225 Publisher: Public Library of Science Title: The predicted influence of climate change on lesser prairie-chicken reproductive parameters Volume: 8 Year: 2013 _record_number: 25785 _uuid: ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892 reftype: Journal Article child_publication: /article/10.1371/journal.pone.0068225 href: https://data.globalchange.gov/reference/ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892.yaml identifier: ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892 uri: /reference/ff3fe7bf-7ec6-4ab8-be12-ff588c6ab892