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D. H. Cobon, R. Darbyshire, J. Crean, S. Kodur, M. Simpson, and C. Jarvis

economic model. The economic model maximized returns by choosing the stocking rate that had the highest return weighted for each three climate states according to the prescribed forecast skill for each pasture and price setting. The economic model takes the form of a discrete stochastic programming problem, as outlined by Crean et al. (2013) , which can be solved through adapting a conventional linear programming model [Eq. (4) ]. The model is subject to normal constraints on the use of land and

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Amber Saylor Mase and Linda Stalker Prokopy

reduce weather and climate impacts ( Ash et al. 2007 ; Hansen 2002 ; Livezey and Timofeyeva 2008 ; Quan et al. 2006 ; Westra and Ashish 2010 ). However, these weather resources need to be designed and delivered in ways that promote farmers’ willingness and ability to use them to aid in agricultural decision making. A substantial amount of social science research has been conducted on aspects of use and perceived usefulness of weather and climate information as tools for farmers, and in some cases

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Karen Raucher, Robert Raucher, Kenan Ozekin, and Kristin Wegner

are already at the table for community planning and extreme event preparedness. They are trusted sources by mayors, city councils, and local and state planning agencies for information regarding water and extreme events. They are, therefore, in a critical position to help prepare their communities for climate change. In response to large climate uncertainty—coupled with the uncertainty facing water utilities from economic and demographic changes, shifts in technology and land use planning, and the

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Danielle Newport, David B. Lobell, Balwinder-Singh, Amit K. Srivastava, Preeti Rao, Maanya Umashaanker, Ram K. Malik, Andrew McDonald, and Meha Jain

addition, farmers may be able to reduce the turn over period length between rice and wheat by using zero till, which does not require farmers to till the soil prior to sowing wheat, reducing land preparation time and allowing for earlier wheat planting ( Rafiq et al. 2017 ; Hobbs 2001 ). To date, there is limited documentation of the proportion of farmers who sow wheat later than 15 November, which factors are associated with late wheat sowing, and whether farmers are adopting any technologies, such

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Julie Brugger and Michael Crimmins

into New Mexico, and you say that, and they say: “Oh yeah! Do you know [name]?” And I say: “Oh yeah, I used to work with him.” And then everything’s cool. And you’re obviously much more likely to get an unvarnished, unguarded response [3]. The extent to which local clientele trust the CES to be an honest broker is reflected in this Specialist’s account of his role in a public land dispute: There was going to be a land exchange between [a federal agency and a railroad company], and it was going to

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James B. Elsner, Emily Ryan, and Georgianna Strode

because of the large number of individual properties and inconsistent tools for measurement. The dataset used in this study was developed to provide a consistent method for measuring property values across Florida. The source information is from the 2014 Florida Department of Revenue cadastral database. Property values are determined by each county’s local property appraiser. Property values are aggregated to the U.S. national grid 1-km grid cells. Records include assessed property value, land value

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Todd A. Crane, Carla Roncoli, Joel Paz, Norman Breuer, Kenneth Broad, Keith T. Ingram, and Gerrit Hoogenboom

of the research. Interviews were audio-recorded, transcribed, and analyzed thematically using NVivo software (QSR International). Most interviewees are middle-aged men, as is typical of most farm operators in southern Georgia. There was only one female interviewee, who had established an organic produce operation on family land as a second career. The vast majority of farmers interviewed were over 40 yr old, though the sample included three farmers in their 20s, who were from farming families and

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Calum G. Turvey and Megan K. Mclaurin

. Appl. , doi:10.1002/met.303 , in press . Li, J. , Lewis J. , Rowland J. , Tappan G. , and Tieszen L. L. , 2002 : Evaluation of land performance in Senegal using multi-temporal NDVI and rainfall series . J. Arid Environ. , 59 , 463 – 480 . Mahul, O. , and Skees J. , 2007 : Managing agricultural risk at the country level: The case of index-based livestock insurance in Mongolia. Policy Research Working Paper 4325, The World Bank, 37 pp . Makaudze, E. M. , and Miranda M. J

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Daniel Tobin, Rama Radhakrishna, Allison Chatrchyan, and Shorna B. Allred

variable according to Agresti (2007) ] were analyzed using logistic regression models. Of the 17 priority items, 11 met this criterion (number of respondents ranking item in their top five >130 cases). Of the 11 models run, 5 of them were significant (those that were not significant were securing funding for applied research, developing decision support tools and websites, conducting cost–benefit analyses, providing training to land managers, developing new models and seasonal forecasts, developing

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Ainka A. Granderson

and nuts, and planting and harvesting of crops. For example, the traditional planting calendar is no longer strictly followed because of shifts in rainfall and temperature regimes. Consequently, villagers felt disoriented and were questioning the value of kastom save. b. Local resource use and management The allocation and use of land and marine resources is also a reflection of kastom save and shapes villagers’ capacity to adapt to climatic and wider environmental changes. Villagers in Tongoa

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