(Article of periodic en Anglais - 2014)

Document title

Human-driven topographic effects on the distribution of forest in a flat, lowland agricultural region

Authors(s) and Affiliation(s)

ODGAARD M.V. (1 2) ; BØCHER P.K. (2) ; DALGAARD T. (1) ; MOESLUND J.E. (1 2 3) ; SVENNING J.-C. (2) ;
(1) Dept. of Agroecology, Univ., Aarhus, DANEMARK
(2) Ecoinformatics & Biodiversity Group, Dept. of Bioscience, Univ., Aarhus, DANEMARK
(3) Dept. of Computer Science, Univ., Aarhus, DANEMARK


The AA. used spatial regression modeling to assess the extent to which topographic factors explain forest distribution (presence-absence at a 48×48 m resolution) in a lowland agricultural region of Denmark at regional and landscape scales (whole study area and 10×10 km grid cells, respectively), how landscape-scale forest-topography relationships vary geographically, and which potential drivers (topographic heterogeneity, forest cover, clay content, coastal/inland location) determine this geographic heterogeneity. It is shown that explanatory power of topography at landscape scale was moderately dependent on the potential drivers, with topographic control being strongest in areas with high topographic heterogeneity and little forest cover. However, these conditioning effects were themselves geographically variable. The findings show that topography by shaping human land-use can affect forest distribution even in flat, lowland regions, but especially via localized, geographically variable effects


Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2014, vol. 24, no1 [pp. 76-92]

Bibliographic references : 51 ref.

Collation : 9 fig., 1 tabl.



Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-014-1074-6

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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