PROMOTING ACCESS TO AFRICAN RESEARCH

Ostrich: Journal of African Ornithology

Log in or Register to get access to full text downloads.

Remember me or Register



DOWNLOAD FULL TEXT Open Access  DOWNLOAD FULL TEXT Subscription or Fee Access

A GIS-based model of Serengeti grassland bird species

Thomas K Gottschalk, Klemens Ekschmitt, Franz Bairlein

Abstract


In this study we assess possible benefits of using satellite sensor data in large-scale landscape ecology. The study was conducted on the Serengeti Plains, Tanzania, combining (1) records from a bird survey, (2) local measurements of vegetation structure and precipitation, and (3) a habitat map derived from a Landsat satellite image classification. The question of whether ground-based or satellite data explained more of the species-environment relationships was explored by means of multivariate regression. On average across all 62 bird species recorded, the combination of satellite-based and groundbased data improved explained variance (R2 = 0.26), as compared to satellite sensor data, or ground-based data alone (R2 = 0.18 and 0.21, respectively). In spite of this low level of explained variance in the regressions, a classification of bird species according to utilised parameter space yielded reasonable results. Satellite image data seem to be suited to this kind of investigation.

Ostrich 2007, 78(2): 259–263



AJOL African Journals Online