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Community Organizations Cambridge University Press
Cambridge University Press
Cambridge University Press
Acronym
CUP
Publishing Company

Location

United Kingdom

Cambridge University Press is part of the University of Cambridge. Our mission is to unlock people’s potential with the best learning and research solutions. Our vision is a world of learning and research inspired by Cambridge.


Our peer-reviewed publishing lists comprise over 53,000 titles covering academic research, professional development, over 350 research journals, school-level education, English language teaching and Bible publishing. This list is growing every year and spans subjects from aesthetics through to zoology, with authors ranging from Shakespeare to English language teaching author, Ray Murphy.


A pioneer in our field, we are committed to supporting innovation in learning and teaching. We publish without boundaries, ensuring our resources are accessible across the globe, in print, online and other digital formats.


We take pride in supporting community programmes across the globe. Staff are encouraged to offer practical help, advice and funding to nurture vital charitable, educational and voluntary partnerships.


Playing a leading role in today's global market place, we have over 50 offices around the globe, and distribute our products to nearly every country in the world. We publish 50,000 authors based in over 100 different countries.

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Resources

Displaying 41 - 45 of 79

Dairy farming: indoor v. pasture-based feeding

Journal Articles & Books
December, 2014

The current situation of volatile milk prices and rising costs of, e.g. grain and labour, suggests that it is worth studying productivity and efficiency in dairy farming. The objective of the current whole-system study, carried out in lowland Central Switzerland from 2007 to 2010, was to compare the performance, efficiency, land productivity and profitability of indoor-feeding (IF) dairy production with that of pasture-based feeding (PF) dairy production.

Land use change and carbon fluxes in East Africa quantified using earth observation data and field measurements

Journal Articles & Books
December, 2013
Tanzania
Malawi
Eastern Africa

Carbon-based forest conservation requires the establishment of ‘reference emission levels’ against which to measure a country or region's progress in reducing their carbon emissions. In East Africa, landscape-scale estimates of carbon fluxes are uncertain and factors such as deforestation poorly resolved due to a lack of data. In this study, trends in vegetation cover and carbon for East Africa were quantified using moderate-resolution imaging spectroradiometer (MODIS) land cover grids from 2002 to 2008 (500-m spatial resolution), in combination with a regional carbon look-up table.

Land abandonment may reduce disturbance and affect the breeding sites of an Endangered amphibian in northern Italy

Journal Articles & Books
December, 2013
Italy

Although human-related disturbance is usually detrimental for biodiversity, in some instances it can simulate natural processes and benefit certain species. Changes in the disturbance regime, both natural and human-driven, can affect species that rely on it. The Apennine yellow-bellied toad Bombina variegata pachypus, an amphibian endemic to peninsular Italy, has declined throughout its range in the last 3 decades. We sought to identify the drivers of the decline in the region of Liguria, at the north-western limit of its distribution.

Benefits of earth observation data for conservation planning in the case of European wetland biodiversity

Journal Articles & Books
December, 2013
Europe

To evaluate the status of biodiversity and to determine how current conservation efforts can be improved, biodiversity monitoring is crucial. An important aspect of data quality lies in its spatial resolution. It is unclear how finer scale land cover and land value information might further benefit biodiversity conservation. This paper aimed to assess the impacts of scale by modelling the conservation of endangered European wetland species and their corresponding habitats. Fine-scale datasets were derived by integrating existing geographical, biophysical and economic data.

Comparative assessment of different methods for using land-cover variables for distribution modelling of Salamandra salamandra longirotris

Journal Articles & Books
December, 2013

Predictive models are frequently used to define the most suitable areas for species protection or reintroduction. Land-cover variables can be used in different ways for distribution modelling. The surface area of a set of land-cover classes is often used, each land-cover presence/absence or the distance to them from any point of the study area can be preferred; multiple types of land-cover variables may be combined to produce a single model.