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Showing items 1 through 9 of 32.
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Library Resource
Fossil fuels are being heavily depleted due to increasing anthropogenic activities worldwide, and burning them contributes to global climate warming and air pollution. Vegetable oils are one of the main feedstocks for biodiesel: they are non-toxic and environmentally friendly. Rising global population, decreasing arable lands and a decline in crop yields from desertification and salinization demands that biodiesel feedstock be grown on unproductive agricultural lands.
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Library Resource
Modeling human–environment systems presents many challenges, including incorporating structure and agency and addressing uncertainty in system components and relationships. Exploring perceptions not only gives us insight into decision-making (agency) but also reveals structural constraints influencing those decisions (including perceived constraints). This study focuses on the human–nature dynamics of Fanjingshan National Nature Reserve (FNNR) in China, a biodiversity hotspot and the only habitat for the Guizhou golden monkey (Rhinopithecus brelichi).
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Library Resource
Sedge dominated peatlands do not rehabilitate well after being drained for rangelands and specific approaches are required in order to restore these sites. Restoration by blocking drainage canals aims to recover peatland functions, principally by raising the water table. Field surveys in Ruoergai, China identified the status of peatland degradation and satellite image analysis concluded that most of Ruoergai's peatlands are degraded mainly due to drainage and overgrazing.
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Library Resource
We use the MEGAN (Model of emissions of Gases and Aerosols from Nature) module embedded within the global three-dimensional Goddard Earth Observing System chemical transport model (GEOS-Chem) to simulate the interannual variations in biogenic volatile organic compound (BVOC) emissions and concentrations of ozone and secondary organic aerosols (SOA) in China over years 2001–2006.
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Library Resource
The Grain for Green Project (GGP) is the largest land retirement/afforestation program in China; it was primarily initiated to reduce the soil erosion and improve the ecological conditions in the Loess Plateau in 1999. If effective, this massive regional effort will induce significant improvement in the vegetation conditions. At this time, the effectiveness of the GGP has not been well documented.
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Library Resource
Land cover fractions (LCFs) derived through spectral mixture analysis are useful in understanding sub-pixel information. However, few studies have been conducted on the analysis of time-series LCFs. Although multi-scale comparisons of spectral index, hard classification, and land surface temperature images have received attention, rarely have these approaches been applied to LCFs.
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Library Resource
Research on the effects of urban sprawl on carbon stocks within urban forests can help support policy for sustainable urban design. This is particularly important given climate change and environmental deterioration as a result of rapid urbanization. The purpose of this study was to quantify the effects of urban sprawl on dynamics of forest carbon stock and density in Xiamen, a typical city experiencing rapid urbanization in China.
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Library Resource
A new grid-based model of nutrient dynamics and transport process has been developed within a distributed hydrological modelling framework and integrated with river network module. The key aspect of this development is a process based description of nutrient generation process on the land surface and its related nutrient release with hydrologic runoff and soil erosion.
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Library Resource
Land suitability evaluation can assist in the efficient use of land resources at a regional level. This is an important issue because of the pressures that an increasing population and economic growth have put on limited land resources. Matter-element theory, which was first put forward by the Chinese mathematician Cai Wen, has shown potential for solving incompatibility problems.
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Library Resource
Estimation of land use during the Holocene is crucial to understand impacts of human activity on climate change in preindustrial period. Until now it is still a key issue to reconstruct amount and spatial distribution of prehistoric land use due to lack of data. Most reconstructions are simply extrapolations of population, cleared land amount per person and land suitability for agriculture. In this study, a new quantitative prehistoric land use model (PLUM) is developed based on semi-quantitative predictive models of archeological sites.
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