ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-2, 7-11, 2012
https://doi.org/10.5194/isprsannals-I-2-7-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Jul 2012
A MAXIMUM ENTROPY MODEL OF THE BEARDED CAPUCHIN MONKEY HABITAT INCORPORATING TOPOGRAPHY AND SPECTRAL UNMIXING ANALYSIS
A. M. Howard1, S. Bernardes2, N. Nibbelink3, L. Biondi4, A. Presotto2, D. M. Fragaszy1, and M. Madden2 1Dept. of Psychology, University of Georgia (UGA), Athens, GA, United States
2Dept. of Geography, UGA, Athens, GA, United States
3Warnell School of Forestry and Natural Resources, UGA, Athens, GA, United States
4Psicologia Experimental, University of São Paulo, São Paulo, Brazil
Keywords: Analysis, Ecology, Landsat, Landscape, Modelling Abstract. Movement patterns of bearded capuchin monkeys (Cebus (Sapajus) libidinosus) in northeastern Brazil are likely impacted by environmental features such as elevation, vegetation density, or vegetation type. Habitat preferences of these monkeys provide insights regarding the impact of environmental features on species ecology and the degree to which they incorporate these features in movement decisions. In order to evaluate environmental features influencing movement patterns and predict areas suitable for movement, we employed a maximum entropy modelling approach, using observation points along capuchin monkey daily routes as species presence points. We combined these presence points with spatial data on important environmental features from remotely sensed data on land cover and topography. A spectral mixing analysis procedure was used to generate fraction images that represent green vegetation, shade and soil of the study area. A Landsat Thematic Mapper scene of the area of study was geometrically and atmospherically corrected and used as input in a Minimum Noise Fraction (MNF) procedure and a linear spectral unmixing approach was used to generate the fraction images. These fraction images and elevation were the environmental layer inputs for our logistic MaxEnt model of capuchin movement. Our models' predictive power (test AUC) was 0.775. Areas of high elevation (>450 m) showed low probabilities of presence, and percent green vegetation was the greatest overall contributor to model AUC. This work has implications for predicting daily movement patterns of capuchins in our field site, as suitability values from our model may relate to habitat preference and facility of movement.
Conference paper (PDF, 2566 KB)


Citation: Howard, A. M., Bernardes, S., Nibbelink, N., Biondi, L., Presotto, A., Fragaszy, D. M., and Madden, M.: A MAXIMUM ENTROPY MODEL OF THE BEARDED CAPUCHIN MONKEY HABITAT INCORPORATING TOPOGRAPHY AND SPECTRAL UNMIXING ANALYSIS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-2, 7-11, https://doi.org/10.5194/isprsannals-I-2-7-2012, 2012.

BibTeX EndNote Reference Manager XML