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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 31 - 35 of 379Factors influencing farmers’ participation in contractual biodiversity conservation: a choice experiment with northern Australian pastoralists
Private landholders’ contributions to biodiversity conservation are critical in landscapes with insufficient formal conservation reserves, as is the case in Australia's tropical savannas. This study reports results from a discrete choice experiment conducted with pastoralists and graziers across northern Australia. The experiment was designed to explore the willingness of pastoralists and graziers to sign up to voluntary biodiversity conservation contracts. Understanding preferences for contractual attributes and preference heterogeneity were additional objectives.
Incorporating animal spatial memory in step selection functions
Memory is among the most important and neglected forces that shapes animal movement patterns. Research on the movement–memory interface is crucial to understand how animals use spatial learning to navigate across space because memory‐based navigation is directly linked to animals' space use and home range behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into step selection functions (SSF) to understand how resource selection and spatial memory affect space use of feral hogs (Sus scrofa).
Patterns of coexistence between two mesocarnivores in northern Patagonia in the presence of invasive hares and anthropogenic disturbance
We analysed coexistence patterns between two mesocarnivores, Geoffroy's cat (Leopardus geoffroyi: Felidae) and culpeo fox (Pseudalopex culpaeus: Canidae), in northern Patagonia, Argentina. We examined spatial distribution influenced by land cover, anthropogenic disturbance and invasive hare presence, and analysed temporal activity patterns and dietary composition. If competitive exclusion accounts for carnivore coexistence in this system, we predicted segregation would occur in one or more of these aspects as a mechanism for coexistence.
Quantifying landscape‐level methane fluxes in subarctic Finland using a multiscale approach
Quantifying landscape‐scale methane (CH₄) fluxes from boreal and arctic regions, and determining how they are controlled, is critical for predicting the magnitude of any CH₄ emission feedback to climate change. Furthermore, there remains uncertainty regarding the relative importance of small areas of strong methanogenic activity, vs. larger areas with net CH₄ uptake, in controlling landscape‐level fluxes.
Crop yield response to climate change varies with cropping intensity
Projections of the response of crop yield to climate change at different spatial scales are known to vary. However, understanding of the causes of systematic differences across scale is limited. Here, we hypothesize that heterogeneous cropping intensity is one source of scale dependency. Analysis of observed global data and regional crop modelling demonstrate that areas of high vs. low cropping intensity can have systematically different yields, in both observations and simulations.