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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 251 - 255 of 379Efficacy of Land-Cover Models in Predicting Isolation of Marbled Salamander Populations in a Fragmented Landscape
Amphibians worldwide are facing rapid declines due to habitat loss and fragmentation, disease, and other causes. Where habitat alteration is implicated, there is a need for spatially explicit conservation plans. Models built with geographic information systems (GIS) are frequently used to inform such planning. We explored the potential for using GIS models of functional landscape connectivity as a reliable proxy for genetically derived measures of population isolation.
Land use/cover changes and their implications on rural livelihoods in the degraded environments of central Tanzania
This paper examines the changes in land use/cover types in the degraded environment of central Tanzania over the last 45 years, and how such changes have influenced agricultural and livelihoods sustainability, especially in the Irangi Hills. Changes of land use/cover were measured through aerial photographs interpretations, while local perceptions and description of change were addressed through household interviews and field observations. The results of this study show that there have been variations over the years in terms of both the areas and spatial distribution of cultivated fields.
continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate
Global climate change is the major and most urgent global environmental issue. Australia is already experiencing climate change as evidenced by higher temperatures and more frequent and severe droughts. These impacts are compounded by increasing land use pressures on natural resources and native ecosystems. This paper provides a synthesis of the interactions, feedbacks and risks of natural climate variability, climate change and land use/land cover change (LUCC) impacting on the Australian continent and how they vary regionally.
Transferability and characterization of nine microsatellite markers for the tropical tree species Tabebuia roseo-alba
Microsatellite loci that were previously developed in the tropical tree Tabebuia aurea were used for the genetic analysis of Tabebuia roseo-alba populations. Nine of 10 simple sequence repeat markers were amplified, and the polymorphism was assessed in 58 individuals sampled from two stands in southeastern Brazil. All loci were polymorphic with Mendelian inheritance. The allele numbers were high, ranging from 5 to 13 in population I and 3 to 7 in population II, with means of 8.9 and 5.5, respectively.
Enrichment of land-cover polygons with eco-climatic information derived from MODIS NDVI imagery
The FAO land-cover classification system (LCCS) represents an innovative approach to standardizing and harmonizing land-cover classifications based on remote sensing data. The thematic information considered by the LCCS, however, is intrinsically related to vegetation physiognomy and does not report important eco-climatic features. Our aim is to develop a methodology to enrich LCCS maps with information on vegetation productivity and phenology derived from Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data.