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As an essential factor for sustainable development, energy plays a very important role in sustaining a modern lifestyle, particularly in poor rural areas
. Considering that farmers' livelihood in such areas is enormously dependent on services provided by environmental resources, it makes sense to investigate the relationships and interactions between farming households' livelihood strategies and their energy consumption. The findings and outcomes would be expected to contribute to the body of knowledge and benefit local policy-making toward sustainable transformation in the long run. Taking Gannan as an example, this study employed a participatory rural appraisal approach, with first-hand data mainly from field surveys, using a stratified random sampling method to illustrate the influence of farmers' livelihood strategies for household energy consumption in the eastern Qinghai-Tibet Plateau, China. Seven townships in Gannan were covered, three of them in pure pastoral areas, two in farming-pastoral areas, and two in farming areas. From these, 230 households were selected as study samples, with a valid return of 217 questionnaires, among which 78 came from pure pastoral areas, 60 from farming-pastoral areas, and 79 from farming areas. The results show that livelihood has a significant impact on farmers' household energy consumption patterns, and increasing family income level and education level and improving the availability of commodity energy resources will help farmers reduce the proportion of biomass energy consumption and increase the proportion of commodity energy consumption. Furthermore, measures such as developing nonagricultural industries, improving the energy infrastructure, and enhancing farmers' energy-saving awareness should be seriously considered to optimize farmers' living energy consumption patterns in these poverty-stricken and eco-frangible regions. © 2018 by the authors
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The Grain for Green program in China, a nationwide cropland set-aside program aimed at soil erosion prevention and poverty alleviation, was begun in 1999 and quickly expanded to 25 provinces, covering 32 million households
. Its effects on participating households are well studied, but the role of ethnic characteristics is less well investigated. Given the overlap of areas covered by Grain for Green and areas inhabited by ethnic minorities, where development is a long-unresolved problem, it is important to determine how ethnic minorities react to, and benefit from, the Grain for Green program. This study investigates participation in the program by ethnic minorities and estimates its impact on their off-farm labor supply, compared with that of the ethnic majority, Han. We find that ethnic minorities were more likely to participate in the program, but enrolled similar area of land per household. However, ethnic minorities did not increase off-farm labor supply after participation in Grain for Green, while Han participants increased their off-farm labor supply significantly. These findings raise concerns that Grain for Green may have widened the income gap between Han and ethnic minorities. This study also provides important policy implications on sustainable land management for less-developed regions
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Understanding groundwater storage (GWS) changes is vital to the utilization and control of water resources in the Tibetan Plateau
. However, well level observations are rare in this big area, and reliable hydrology models including GWS are not available. We use hydro-geodesy to quantitate GWS changes in the Tibetan Plateau and surroundings from 2003 to 2009 using a combined analysis of satellite gravity and satellite altimetry data, hydrology models as well as a model of glacial isostatic adjustment (GIA). Release-5 GRACE gravity data are jointly used in a mascon fitting method to estimate the terrestrial water storage (TWS) changes during the period, from which the hydrology contributions and the GIA effects are effectively deducted to give the estimates of GWS changes for 12 selected regions of interest. The hydrology contributions are carefully calculated from glaciers and lakes by ICESat-1 satellite altimetry data, permafrost degradation by an Active-Layer Depth (ALD) model, soil moisture and snow water equivalent by multiple hydrology models, and the GIA effects are calculated with the new ICE-6G_C (VM5a) model. Taking into account the measurement errors and the variability of the models, the uncertainties are rigorously estimated for the TWS changes, the hydrology contributions (including GWS changes) and the GIA effect. For the first time, we show explicitly separated GWS changes in the Tibetan Plateau and adjacent areas except for those to the south of the Himalayas. We find increasing trend rates for eight basins: + 2.46 ± 2.24 Gt/yr for the Jinsha River basin, + 1.77 ± 2.09 Gt/yr for the Nujiang-Lancangjiang Rivers Source Region, + 1.86 ± 1.69 Gt/yr for the Yangtze River Source Region, + 1.14 ± 1.39 Gt/yr for the Yellow River Source Region, + 1.52 ± 0.95 Gt/yr for the Qaidam basin, + 1.66 ± 1.52 Gt/yr for the central Qiangtang Nature Reserve, + 5.37 ± 2.17 Gt/yr for the Upper Indus basin and + 2.77 ± 0.99 Gt/yr for the Aksu River basin. All these increasing trends are most likely caused by increased runoff recharges from melt water and/or precipitation in the surroundings. We also find that the administrative actions such as the Chinese Ecological Protection and Construction Project help to store more groundwater in the Three Rivers Source Region, and suggest that seepages from the Endorheic basin to the west of it are a possible source for GWS increase in this region. In addition, our estimates for GWS changes basically confirm previous results along Afghanistan, Pakistan, north India and Bangladesh, and clearly reflect the excessive use of groundwater. Our results will benefit the water resource management in the study area, and are of particular significance for the ecological restoration in the Tibetan Plateau
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Kargel, J. S.; Leonard, G. J.; Shugar, D. H.; Haritashya, U. K.; Bevington, A.; Fielding, E. J.; Fujita, K.; Geertsema, M.; Miles, E. S.; Steiner, J.; Anderson, E.; Bajracharya, S.; Bawden, G. W.; Breashears, D. F.; Byers, A.; Collins, B.; Dhital, M. R.; Donnellan, A.; Evans, T. L.; Geai, M. L.; Glasscoe, M. T.; Green, D.; Gurung, D. R.; Heijenk, R.; Hilborn, A.; Hudnut, K.; Huyck, C.; Immerzeel, W. W.; Jiang, L.; Jibson, R.; Kaab, A.; Khanal, N. R.; Kirschbaum, D.; Kraaijenbrink, P. D. A.; Lamsal, D.; Liu, S.; Lv, M.; Mckinney, D.; Nahirnick, N. K.; Nan, Z.; Ojha, S.; Olsenholler, J.; Painter, T. H.; Pleasants, M.; Kc, P.; Yuan, Q.; Raup, B. H.; Regmi, D.; Rounce, D. R.; Sakai, A.; Shangguan, D.; Shea, J. M.; Shrestha, A. B.; Shukla, A.; Stumm, D.; Van Der Kooij, M.; Voss, K.; Wang, X.; Weihs, B.; Wolfe, D.; Wu, L.; Yao, X.; Yoder, M. R.; Young, N.
The Gorkha earthquake (M 7
.8) on 25 April 2015 and later aftershocks struck South Asia, killing ~9,000 and damaging a large region. Supported by a large campaign of responsive satellite data acquisitions over the earthquake disaster zone, our team undertook a satellite image survey of the earthquakes’ induced geohazards in Nepal and China and an assessment of the geomorphic, tectonic, and lithologic controls on quake-induced landslides. Timely analysis and communication aided response and recovery and informed decision makers. We mapped 4,312 co-seismic and post-seismic landslides. We also surveyed 491 glacier lakes for earthquake damage, but found only 9 landslide-impacted lakes and no visible satellite evidence of outbursts. Landslide densities correlate with slope, peak ground acceleration, surface downdrop, and specific metamorphic lithologies and large plutonic intrusions
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