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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 101 - 105 of 379Development of a Watershed‐Based Geospatial Groundwater Specific Vulnerability Assessment Tool
This study assesses and characterizes the vulnerability of unregulated groundwater systems to microbial contamination in 18 counties in the state of Georgia using a contamination risk screening strategy based on watershed characteristics and elements of the Safe Drinking Water Act's Wellhead Protection program. Environmental data sources analyzed include septic systems, elevation, land use and land cover data, soil, vegetation coverage, demographics, and livestock.
Organic farming and heterogeneous landscapes positively affect different measures of plant diversity
Increasing landscape heterogeneity and organic farming practices are known to enhance species richness in agroecosystems. However, little is known about the consequences of these management options on other biodiversity components such as community composition, phylogenetic structure and functional diversity which may be more closely linked to ecosystem functioning. We surveyed semi‐natural plant communities within the uncultivated field margins of 18 arable farms in Skåne, south Sweden.
comparison of remotely sensed and pollen‐based approaches to mapping Europe's land cover
AIM: Remote sensing coupled with direct observation allows recent changes in vegetation to be investigated but, in order to extend our understanding of land‐cover change further back in time, different proxies for vegetation are required. The pseudobiomization (PBM) approach has been developed to transform fossil pollen data into land‐cover classes (LCCs) in order to reconstruct broad‐scale anthropogenic land‐use change through time.
High resolution land cover data improve understanding of mechanistic linkages with stream integrity
Recent progress in very high spatial resolution imagery (VHSRI) has increased the availability of fine‐scale land cover data over extensive areas. This new spatial information might improve our understanding of how land cover affects stream ecosystems. Land cover information was investigated in whole catchments and riparian areas in Normandy (France) and related to stream macroinvertebrates at 155 sites. The first model was based on the land cover data obtained via moderate spatial resolution imagery (MSRI) at the catchment scale.
Rapid deforestation threatens mid‐elevational endemic birds but climate change is most important at higher elevations
AIM: Deforestation and climate change are two of the most serious threats to tropical birds. Here, we combine fine‐scale climatic and dynamic land cover models to forecast species vulnerability in rain forest habitats. LOCATION: Sulawesi, Indonesia. METHODS: We sampled bird communities on four mountains across three seasons in Lore Lindu National Park, Sulawesi, Indonesia (a globally important hotspot of avian endemism), to characterize relationships between elevation and abundance. Deforestation from 2000 to 2010 was quantified, and predictors of deforestation were identified.