Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals.
All knowledge begins as uncommon—unrecognized, undervalued, and sometimes unaccepted. But with the right perspective, the uncommon can become the exceptional.
That’s why Elsevier is dedicated to making uncommon knowledge, common—through validation, integration, and connection. Between our carefully-curated information databases, smart social networks, intelligent search tools, and thousands of scholarly books and journals, we have a great responsibility and relentless passion for making information actionable.
Members:
Resources
Displaying 871 - 875 of 1605Using species distribution modeling to improve conservation and land use planning of Yunnan, China
Part of the Himalayan biodiversity hotspot, Yunnan province in China is a highly diverse terrestrial region, particularly in the wide range of natural forest types. These forests are under considerable conversion pressure as land use intensifies with expanding human population and economic development. Conservation strategies based on the geographic patterns of botanical species richness, including the identification of meaningful floristic regions and priority areas for conservation, could improve the effectiveness of forest policy and management.
Reconstructing prehistoric land use change from archeological data: Validation and application of a new model in Yiluo valley, northern China
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.
Growth of sheep as affected by grazing system and grazing intensity in the steppe of Inner Mongolia, China
The Inner Mongolian grassland steppe is the most important grazing land in China in terms of cow milk, mutton, and cashmere production. However, intensive livestock grazing has severely degraded the steppe grassland. A sophisticated grazing management is therefore essential for an economically viable use of the grassland without amplifying its desertification.
Net exchanges of CO₂, CH₄ and N₂O between marshland and the atmosphere in Northeast China as influenced by multiple global environmental changes
Natural wetland ecosystem plays an important role in global climate change due to its large amounts of stored carbon and nitrogen. The Sanjiang Plain, Northeast China, encompasses large area of natural freshwater marshy wetlands. However, the magnitude and temporal patterns of major greenhouse gases (GHGs: CO₂, CH₄ and N₂O) in this region remain far from certain. Here we used a process-based ecosystem model to examine GHGs fluxes and their underlying mechanisms in the marshland across the Sanjiang Plain over the period 1949–2008.
Institutional thinking in fisheries governance: broadening perspectives
Institutional thinking has long been central to fisheries governance. Defined in its most generic form as structural constraints that provide regularities, reduce uncertainties and shape people's interactions, institutions create an enabling or controlling environment for specific governing actions and decisions to take place. Over the years, fisheries governance has relied heavily on the creation and evolution of institutions, especially those related to property rights and access rules.