Sparsely populated regions as a specific geographical environment
AuthorLe Tourneau, François-Michel
AffiliationUniv Arizona, IGLOBES Res Ctr
KeywordsSparsely populated regions
MetadataShow full item record
PublisherPERGAMON-ELSEVIER SCIENCE LTD
CitationLe Tourneau, F. (2020). Sparsely populated regions as a specific geographical environment. Journal Of Rural Studies, 75, 70-79.
JournalJOURNAL OF RURAL STUDIES
RightsCopyright © 2020 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractThe Amazon forests, the Northern artic regions, the Australian bush and Siberian plains all have very low demographic densities, but they are rarely studied as pertaining to the same global category. It appears, however, that when considering sparsely populated regions (SPR) globally they share not only demographical characteristics, but also a number of features in their economic, political, spatial and social configuration, and more importantly in visions of nature and the environment, which make them different from more densely populated areas. The point of this paper is to demonstrate that despite obvious ecological and climatic differences, SPR can be considered as a specific geographical category and in so doing we are able to reveal and explain aspects until now imperfectly framed under the 'rural' category which they are generally put into. This point is far from anecdotal, since contrary to common assumptions, SPR are still largely dominant today on Earth in terms of extension. Considering them as a unique category can therefore be an important step forward in cross-continental rural studies.
NoteOpen access article
VersionFinal published version
Except where otherwise noted, this item's license is described as Copyright © 2020 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).