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Jase Bernhardt

Faurer (1983) analyzed logs from Hudson’s Bay Company ships in order to track summer sea ice severity in the Hudson Bay during the eighteenth and nineteenth centuries, and Landsea et al. (2004) utilized ship reports published in newspapers, among other sources, to determine hurricane tracks in the Atlantic Ocean between 1851 and 1910. Moreover, on land, the accounts of French peasants were used by Baker (2012) to investigate the damage caused by hail to crops in France prior to World War I. The

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Ryan P. Crompton, K. John McAneney, Keping Chen, Roger A. Pielke Jr., and Katharine Haynes

performed various supervised image classifications with the 2.5-m-resolution, orthorectified imagery in the 2009 SPOTMaps series ( http://access.spot.com/ ). It was possible to reliably evaluate the best classification results given the fine resolution of imagery employed and the relative small size of the study area. Once the locations of buildings and bushland boundaries were known, we then calculated distance-based statistics relevant to land use planning and insurance pricing. 3. Results a. Case

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Shannon M. McNeeley, Tyler A. Beeton, and Dennis S. Ojima

. 2000 ; Cook et al. 2015 ). A key finding from the 2014 National Climate Assessment Great Plains regional report suggested that climate change, streamflow overallocation, increases in population and development, and both energy extraction and use pose significant risks of increased competition over scarce water resources ( Shafer et al. 2014 ; Ojima et al. 2012 ). Finally, drought is a “wicked” problem, characterized by competing values and risk perceptions, which results in fundamentally

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Markus Enenkel, Daniel Osgood, Martha Anderson, Bristol Powell, Jessica McCarty, Christopher Neigh, Mark Carroll, Margaret Wooten, Greg Husak, Christopher Hain, and Molly Brown

subset of available station data, the production-level product is available in the middle of the following month. CHIRPS has been shown to capture well the observed spatial and temporal variability in rainfall, as indicated by independent station data ( Hessels 2015 ; Katsanos et al. 2016 ). The dataset is designed primarily for drought monitoring applications ( Funk et al. 2015 ) but has also been successfully used in running crop or land surface models ( Maidment et al. 2017 ) and as an

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Ross N. Hoffman, Peter Dailey, Susanna Hopsch, Rui M. Ponte, Katherine Quinn, Emma M. Hill, and Brian Zachry

components of the model, the skill shown in Fig. 5 demonstrates the internal consistency of the underlying components of the model and the validity of the overall model for this purpose. To include sea level rise in the surge model, we subtract it from the current land elevations. For example, the land elevation used in the Full Scenario is given by the difference of Fig. 6 minus Fig. 3 . Low-lying areas in Fig. 6 (say, areas at elevations below 3 m) are already sensitive to surge. In our

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Dr. Pepa Ambrosio-Albala and Dr. María Mar Delgado-Serrano

Mexican community, which also has greater autonomy from the national government than does the Colombian community. This research aims to understand the CC perceptions of indigenous communities and provide relevant information about their preferences for CC-related management and adaptation options. As in other studies ( Weigle 2010 ), the findings of this research can support the design and implementation of CC adaptation strategies that will be accepted by local inhabitants. We used Q methodology to

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Yun Su, Yuan Kang, Xianshuai Zhai, and Xiuqi Fang

groups during cold periods ( Zhang et al. 2011 ; Wang 1996 ). Tol and Wagner (2010) also suggest that reductions in heat input reduce the land carrying capacity of traditional agricultural societies, and most wars occur in cold periods. However, some scholars believe that climate warming leads to more wars ( Su et al. 2016 ). A warm and humid climate is conducive to increased grassland productivity, thereby providing resources for nomadic groups to wage wars. For example, the warm and humid

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Susmita Mitra, Pradeep K. Mehta, and Sudipta Kumar Mishra

Abstract

Groundwater salinity, caused by over-extraction and aggravated by climate change, negatively affects crop productivity and threatens global food security. Poor farmers are vulnerable due to low adaptive capacity. A better understanding of their perceptions and adaptation is important to inform policies for successful adaptation. This paper represents an important study by exploring the same in Mewat, a salinity-affected socioeconomically backward district of northern India. The study uses a mixed-method approach with both secondary data and a primary survey of 250 farmers. A large number of farmers perceived negative impacts on water, crop, income, and assets; and adapt in various ways like water management, crop, and land management, livelihood diversification, and shift towards surface water irrigation. Perceived impacts differed between richer and poorer farmers, whereas adaptation measures varied across the educational, social, and economic backgrounds of farmers. Lack of awareness, education, skill development, and livelihood-opportunities are found to be hindrances, whereas institutional and infrastructural support as facilitators of adaptation. Comparing the findings with global experiences we argued that developed countries intervene more in the policy level and infrastructure, whereas in developing countries, adaptation strategies are local, context-specific, and low-cost. The insights from our study will be useful for intervention in Mewat and similar areas across the developing world. We further argue that farmers take adaptation decisions based on perceived impacts and cost-benefit analysis. Therefore, future research work on quantifying the negative impacts and cost-benefit analysis of various adaptation measures will be useful to ensure successful adaptation in the region and beyond.

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George B. Frisvold and Anand Murugesan

importance regressions, when land ownership was significant it had a negative impact, while the importance rating of risk management programs and satellite TV ownership had positive impacts. E-mail access had no significant effect on use of weather data for individual decisions. Table 5. Weather data use probit regressions, crop and diversified producers only. Only statistically significant coefficients are reported. All listed explanatory variables were included in each of the nine regression equations

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Brian C. Zachry, William J. Booth, Jamie R. Rhome, and Tarah M. Sharon

( Morrow et al. 2015 ), and ultimately a seamless DEM for storm surge inundation mapping (see Fig. 3 ). Fig . 3. The DEM used to compute inundation. The black polygons indicate regions where the USGS NED was utilized in the DEM. The gray cross-hatched area indicates land outside the bounds of the DEM. The remaining land area within the United States uses elevation data from the NOAA OCM sea level rise DEM. 4. Methodology The process to create national inundation maps from the existing SLOSH MOM

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