Great Bustard Habitat Use Modeling at Large Scales: A GIS and Remote Sensing Case Study, Diapositivas de Ecología

¡Descarga Great Bustard Habitat Use Modeling at Large Scales: A GIS and Remote Sensing Case Study y más Diapositivas en PDF de Ecología solo en Docsity! MODELLING LANDSCAPE-SCALE HABITAT USE USING GIS AND REMOTE SENSING: A CASE STUDY WITH GREAT BUSTARDS Landscape Ecology (aa2n2207e) Jean Carlo Andrade Introduction • Many species are adversely affected by human activities at large spatial scales and their conservation requires detailed information on distributions. • Great bustards (Otis tarda) favor open, steppe-like landscapes comprising cereal–fallow rotations • This habitat that is particularly under threat of intensification through irrigation • The predictive models for great bustards (Spain) were based on readily available advanced very high-resolution radiometer (AVHRR) satellite imagery combined with mapped features in the form of geographic information system (GIS) data layers. http://www.birdsinspain.com/public/images/sites/130-3844.jpg?v=2014-08-11-18:35:32 Problems found • Conventional statistical modelling on spatial data ignores spatial autocorrelation due to the ecological likelihood that neighbouring pixels will have dependent probabilities of use. • To overcome this, the approach of Augustin, Mugglestone & Buckland (1996) by incorporating an autologistic term in the models was used. • the autologistic term acts as a smoothing filter, removing isolated pixels and consolidating habitat patches defined as suitable. RESULTS Fig. 3. Threshold masks for areas suitable for bustards (in black) based on (a) constraints of roads, buildings, railways and rivers, and (b) with the addition of altitude and terrain variability Benefits • Researches concluded that AVHRR satellite imagery and GIS data sets have potential to map distributions at large spatial scales and could be applied to other species. • While models based on imagery alone can provide accurate predictions of bustard habitats at some spatial scales, terrain and human influence are also significant predictors and are needed for finer scale modelling (decision makers). REFERENCES Osborne, P., Alonso, J., & Bryant, R. (2001). Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. (C. Museo Nacional de Ciencias Naturales, Ed.) Retrieved November 20, 2018, from Department of Environmental Science, University of Stirling: https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1046/j.1365-2664.2001.00604.x