Journalartikel

Jahr der Veröffentlichung: 2007

Seiten: 259-263

Zeitschrift: Ostrich: Journal of African Ornithology

Bandnummer: 78

Heftnummer: 2

DOI Link: https://doi.org/10.2989/OSTRICH.2007.78.2.22.102

Verlag: Taylor and Francis Group

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 ground-based 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.

Harvard-Zitierstil: Gottschalk, T., Ekschmitt, K. and Bairlein, F. (2007) A GIS-based model of Serengeti grassland bird species, Ostrich: Journal of African Ornithology, 78(2), pp. 259-263. https://doi.org/10.2989/OSTRICH.2007.78.2.22.102

APA-Zitierstil: Gottschalk, T., Ekschmitt, K., & Bairlein, F. (2007). A GIS-based model of Serengeti grassland bird species. Ostrich: Journal of African Ornithology. 78(2), 259-263. https://doi.org/10.2989/OSTRICH.2007.78.2.22.102