Akadémiai Kiadó | Land Portal | Securing Land Rights Through Open Data
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Akadémiai Kiadó, founded in 1828 by the Hungarian Academy of Sciences, is Hungary’s oldest continuously operating publishing house. Our mission is to promote Hungarian and international science, that is, to publish the new discoveries in various areas of science, to effectively support information exchange amongst scientists on a global level, and to make scientific results a public property available for all who seek valuable and reliable knowledge.

Our traditions oblige us. Our aim is to become the most significant scientific publishing house of Central and Eastern-Europe whilst maintaining excellent quality, further improving our important scientific and business partnerships, creating scientific, economic and social values and keeping ahead the revolution in communication technology that is reshaping the publishing industry.

Akadémiai Kiadó publishes more than 50 peer-reviewed international journals which represent a score of scientific fields. Most of our journals are indexed in Scopus, and many of them are indexed in the Science Citation Index or in the most important field-specific databases, i.e. Medline/Pubmed, Chemical Abstracts, Biological Abstracts, BIOSIS Previews, etc. The overall citation of our journals has increased annually since 2005.

Co-operating with market-leading subcontractors from all over the world we offer an advanced and excellent on-line service for our authors and readers worldwide.

Akadémiai Kiadó Resources

Displaying 1 - 10 of 17
Journal Articles & Books
December 2016

Semi-natural grassland islands have a key role in slowing down biodiversity decline in intensively cultivated agricultural landscapes. Assemblages in such habitat patches are not only limited by local habitat quality, but are also influenced by the suitability and distribution of different habitat types in the surrounding landscape.

Journal Articles & Books
December 2015

Metacommunity paradigms are increasingly studied to explain how environmental control and spatial patterns determine variation in community composition. However, the relative importance of these patterns on biological assemblages among different habitats is not well known.

Journal Articles & Books
December 2013

A key driver of biodiversity loss is human landscape transformation. Change detection and trajectory analysis are frequently applied methods for studying landscape change. We studied to what degree habitat-specific change detection and trajectory analysis provide different information on landscape change compared to the analysis with land-cover statistics.

Journal Articles & Books
December 2011

In this study we (1) examined the applicability of the widely available CORINE land cover map of Europe in predicting several components of the richness of forest breeding bird community, and (2) analysed how different ecologically meaningful species groups respond to the differences in landscape composition and how these differences are reflected in the relationships between total species rich

Journal Articles & Books
December 2009

This study profiled soils over a land degradation gradient to obtain formulae as integrative measures for describing the gradient as a result of deforestation in Thailand. We applied antibiotic resistance most-probable-number profiling to the soil bacterial communities, and then described the gradient.

Journal Articles & Books
December 2009

We suggest a classificatory approach for land cover analysis that integrates fuzzy set theory with permutation techniques. It represents a non parametric alternative and/or a complement of traditional multivariate statistics when data are scarce, missing, burdened with high degree of uncertainty and originated from different sources and/or times.

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