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Wiley-Blackwell is the international scientific, technical, medical, and scholarly publishing business of John Wiley & Sons. It was formed by the merger of John Wiley's Global Scientific, Technical, and Medical business with Blackwell Publishing, after Wiley took over the latter in 2007.[1]
As a learned society publisher, Wiley-Blackwell partners with around 750 societies and associations. It publishes nearly 1,500 peer-reviewed journals and more than 1,500 new books annually in print and online, as well as databases, major reference works, and laboratory protocols. Wiley-Blackwell is based in Hoboken, New Jersey (United States) and has offices in many international locations including Boston, Oxford, Chichester, Berlin, Singapore, Melbourne, Tokyo, and Beijing, among others.
Wiley-Blackwell publishes in a diverse range of academic and professional fields, including in biology, medicine, physical sciences, technology, social science, and the humanities.[2]
Access to more than 1,500 journals, OnlineBooks, lab protocols, electronic major reference works and other online products published by Wiley-Blackwell is available through Wiley Online Library,[3] which replaced the previous platform, Wiley InterScience, in August 2010.
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Displaying 341 - 345 of 379Land use affects rodent communities in Kalahari savannah rangelands
Shrub encroachment caused by overgrazing has led to dramatic changes of savannah landscapes and is considered one of the most threatening forms of rangeland degradation leading to habitat fragmentation. Although changes to plant assemblages are becoming better known, however, our understanding of how shrub encroachment affects rodent communities is low. In this study, we investigated relative abundance of five rodent species in sixteen southern Kalahari rangelands where shrub cover ranged from low (25%). Rodent abundance was determined on three trapping grids (40 x 100 m) for each site.
relative importance of landscape properties for woodland birds in agricultural environments
1. Studies of landscape change are seldom conducted at scales commensurate with the processes they purport to investigate. Landscape change is a landscape-level process, yet most studies focus on patches. Even when landscape context is considered, inference remains at the patch-level. The unit of investigation must be extended beyond individual patches to whole mosaics in order to advance understanding of faunal responses to landscape change. 2.
land-cover map for South and Southeast Asia derived from SPOT-VEGETATION data
Our aim was to produce a uniform 'regional' land-cover map of South and Southeast Asia based on 'sub-regional' mapping results generated in the context of the Global Land Cover 2000 project. The 'region' of tropical and sub-tropical South and Southeast Asia stretches from the Himalayas and the southern border of China in the north, to Sri Lanka and Indonesia in the south, and from Pakistan in the west to the islands of New Guinea in the far east. The regional land-cover map is based on sub-regional digital mapping results derived from SPOT-VEGETATION satellite data for the years 1998-2000.
Evaluating sampling strategies and logistic regression methods for modelling complex land cover changes
1. The role of land cover change as a significant component of global change has become increasingly recognized in recent decades. Large databases measuring land cover change, and the data which can potentially be used to explain the observed changes, are also becoming more commonly available. When developing statistical models to investigate observed changes, it is important to be aware that the chosen sampling strategy and modelling techniques can influence results. 2.
Farmer management of production risk on degraded lands: the role of wheat variety diversity in the Tigray region, Ethiopia
This article investigates the effects of wheat genetic diversity and land degradation on risk and agricultural productivity in less favored production environments of a developing agricultural economy. Drawing production data from a household survey conducted in the highlands of Ethiopia, we estimate a stochastic production function to evaluate the effects of variety richness, land degradation, and their interaction on the mean and the variance of wheat yield. Ethiopia is a center of diversity for durum wheat and farmers manage complex variety mixtures on multiple plots.