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Displaying 216 - 220 of 1195Morphological analysis of green infrastructure in the Seoul metropolitan area, South Korea
The purpose of this study is to understand changes in green infrastructure (GI) in the Seoul metropolitan area, South Korea, focusing on the critical GI components of hubs and links. We applied a morphological analysis tool, morphological spatial pattern analysis (MSPA), to explore GI in the Seoul metropolitan area. For input data to run MSPA, we used 30-m pixel-sized land cover data of 2000 and 2009 provided by the Ministry of Environment of Korea. Land cover data are used as foundational information for GI network mapping.
software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices
BACKGROUND: Plant breeding and genetics demand fast, exact and reproducible phenotyping. Efficient statistical evaluation of phenotyping data requires standardised data storage ensuring long-term data availability while maintaining intellectual property rights. This is state of the art at phenomics centres, which, however, are unavailable for most scientists. For them we developed a simple and cost-efficient system, the Phenotyper, which employs mobile devices or personal digital assistants (PDA) for on-site data entry and open-source software for data management.
Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China
Soil moisture pulses are a prerequisite for other land surface pulses at various spatiotemporal scales in arid and semi-arid areas. The temporal dynamics and profile variability of soil moisture in relation to land cover combinations were studied along five slopes transect on the Loess Plateau during the rainy season of 2011. Within the 3 months of the growing season coupled with the rainy season, all of the soil moisture was replenished in the area, proving that a type stability exists between different land cover soil moisture levels.
Nationwide classification of forest types of India using remote sensing and GIS
India, a mega-diverse country, possesses a wide range of climate and vegetation types along with a varied topography. The present study has classified forest types of India based on multi-season IRS Resourcesat-2 Advanced Wide Field Sensor (AWiFS) data. The study has characterized 29 land use/land cover classes including 14 forest types and seven scrub types. Hybrid classification approach has been used for the classification of forest types.
Multi-scale ecology of woodland bat the role of species pool, landscape complexity and stand structure
Fragmentation of forest landscapes and structural degradation of woodlands have a holistic negative effect on biodiversity. Bats are considered as indicators of woodland’s structural quality. However, as bats commute long distances on a nightly basis, their diversity should also be limited by large-scale drivers such as landscape and species availability in the region. Therefore we examined roles of the local species pool, landscape structure and habitat properties on species richness of bats through three spatial scales with emphasis on top–down relationships.