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Valeria Hernandez, Vincent Moron, Florencia Fossa Riglos, and Eugenia Muzi

according to different soils and land uses ( Slegers 2008 ). In Senegal, Mertz et al. (2009) found that farmers did not assign climate factors as the main reason for livelihood change. Nevertheless, they identified strong winds and occasional excessive rainfall as the most destructive climate factors. Similarly, in central-south Senegal, Tschakert (2007) showed that climate also did not directly appear in people’s risk assessments. In contrast, Thomas et al. (2007) demonstrated that trends and

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Lana Jones and Bonnie Colby

1996 ) modified to allow for endogeneity to test for heteroskedasticity. Homoskedasticity was rejected and heteroskedasticity was corrected using robust standard errors. Collinearity was investigated using variance inflation factors and condition indexes. Some degree of collinearity was detected in all models. The collinearity stems from the inclusion of state dummies and variables measuring income or land value. Despite some collinearity, we chose to leave these variables in the model as essential

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Kimberly E. Klockow, Renee A. McPherson, and Daniel S. Sutter

). Having a rotation and knowing how to manipulate that rotation was a tool for mixed-crop farmers, and these farmers used Mesonet information to make adjustment decisions in critical time periods. To adjust to conditions presented to their land from the start of the growing season onward, producers would strategically plant, irrigate, apply chemicals, and even manipulate the near-surface environment in order to best provide for their crops. These strategies are discussed in further detail to

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Safiétou Sanfo, William M. Fonta, Ulrich J. Diasso, Michel P. Nikiéma, John P. A. Lamers, and Jerôme E. Tondoh

and the highest potential and security for food production in the country, understanding of farmers’ perceptions and the notions and reflections on migration of the present populations or even ongoing migration are important to know for further land-use planning. The main objectives of this study were therefore to 1) assess farmers’ awareness and perception of climate hazards and environmental changes and 2) identify the major push and pull factors of environmental migration and support the

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Melanie Brown and Dominique Bachelet

specifically testing existing climate-related web applications. Our project aspired to bridge that gap and provide fast interactions between web designers, climate scientists, and land managers. 1 Case study Intent on creating a more useful and useable climate-related web application, web developers and climate scientists at the Conservation Biology Institute in Corvallis, Oregon, wanted to know how current climate-related applications, particularly in-house and external applications, measured up to user

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Tonya Haigh, Lois Wright Morton, Maria Carmen Lemos, Cody Knutson, Linda Stalker Prokopy, Yun Jia Lo, and Jim Angel

variables to measure incorporation of weather and climate information into advice on four different types of decisions: operational decisions, tactical purchasing decisions, tactical land-use decisions, and strategic land-use decisions (per Hollinger 2009 ). Operational decisions are made within days of carrying out the activity and are highly dependent on local weather conditions, such as plant/harvest dates, nitrogen application timing, and integrated pest management (IPM). Tactical decisions are

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Scott R. Templeton, Alan A. Hooper, Heather D. Aldridge, and Norman Breuer

, nutrient management, and land allocation were the six most selected activities ( Table 2 ). The order of selection frequency remains the same, regardless of which set of responses from the University of Florida are used. Majorities of extensionists in the three-state region indicate that their clients can use climate forecasts to improve planting schedules, irrigation management, harvest planning, variety or crop selection, and nutrient management ( Table 2 ). A majority might also think that their

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António Lobo, Sara Ferreira, Isabel Iglesias, and António Couto

1 was developed considering the weather conditions on the day of the crash and the corresponding lagged effects. In addition to these effects, models 2 and 3 test different proxy variables, related with the road hierarchy and land use, respectively, to account for the spatial variability of the exposure to crash risk, in an alternative procedure to conduct a matched pair analysis, as used in previous research ( Andrey et al. 2003 ; Black et al. 2017 ). This approach allows one to evaluate the

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Jason A. Otkin, Tonya Haigh, Anthony Mucia, Martha C. Anderson, and Christopher Hain

Salinity ( Kerr et al. 2012 ) and Soil Moisture Active Passive ( Entekhabi et al. 2010 ) are used to estimate the near-surface soil moisture content (0–5 cm) over the entire globe, albeit with much coarser horizontal resolution (~30–50 km) than vegetation datasets derived using visible and infrared satellite imagery. Recent advancements in land surface modeling and data assimilation have also led to the development of datasets that depict soil moisture content over multiple soil layers that include

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Kevin M. Roche, K. John McAneney, Keping Chen, and Ryan P. Crompton

for residential buildings and contents. Our paper is constructed as follows: we first briefly describe TC137 and its impact at the time on local communities in terms of fatalities and property damage and, where possible, business losses. We then outline our methodology for estimating current-day (2011) losses that might result from the recurrence of such an event. This is followed by discussions of key results and limitations of our approach. The paper concludes with implications for land-use

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