Your search found 3 records
1 Reddy, C. S.. 2002. Evaluation of cropping systems under irrigated conditions in the Alfisols of Rayalaseema Region in Andhra Pradesh. Journal of Research ANGRAU, 30(1):79-81.
(Location: IWMI-HQ Call no: P 6908 Record No: H035057)
2 Babar, S.; Amarnath, Giriraj; Reddy, C. S.; Jurasinski, G.; Jentsch, A. 2011. Spatial patterns of phytodiversity - assessing vegetation using (Dis) similarity measures. In Grillo, O.; Venora, G. (Eds.). The dynamical processes of biodiversity - case studies of evolution and spatial distribution. Rijeka, Croatia: InTech. pp.147-186.
Vegetation ; Species ; Biodiversity ; Ecosystems ; Spatial information ; Statistical methods ; Plant ecology ; Forests / India / Andhra Pradesh / Eastern Ghats
(Location: IWMI HQ Call no: e-copy only Record No: H044596)
http://www.intechopen.com/source/pdfs/24414/InTech-Spatial_patterns_of_phytodiversity_assessing_vegetation_using_dis_similarity_measures.pdf
https://vlibrary.iwmi.org/pdf/H044596.pdf
https://vlibrary.iwmi.org/pdf/H044596.pdf
(0.71 MB) (630.62KB)
3 Babar, S.; Amarnath, Giriraj; Reddy, C. S.; Jentsch, A.; Sudhakar, S. 2012. Species distribution models: ecological explanation and prediction of an endemic and endangered plant species (Pterocarpus santalinus L.f.). Current Science, 102(8):1157-1165.
Ecology ; Species ; Pterocarpus santalinus ; Indigenous organisms ; Endangered species ; Models ; Geographical distribution ; Biodiversity / India / Andhra Pradesh / Eastern Ghats
(Location: IWMI HQ Call no: e-copy only Record No: H044856)
(0.87 MB) (893KB)
Pterocarpus santalinus L.f. (Red Sanders) is an endemic and endangered species largely confined to the southern portion of the Eastern Ghats, Andhra Pradesh, India. To understand its ecological and geographic distribution, we used ecological niche modelling (ENM) based on field sample-based istributional information, in relation to climatic and topographic datasets. Before modelling, hierarchical partitioning was used to optimize the choice of variables for better prediction and reliability. We used three ENM approaches, namely GARP, Maxent and BIOCLIM for predicting potential areas of occurrence. The ENM successfully reconstructed key features of the species geographic distribution, mainly in the forest tracts of Chittoor and Kadapa districts. GARP appeared to be more robust in prediction capabilities compared to BIOCLIM. The potential distributional area identified by these models falls mainly in regions not protected and experiencing high anthropogenic pressure owing to economic and medicinal use. The success of this model indicates that ENM-based approaches provide a promising tool for exploring various scenarios useful in the study of ecology, biogeography and conservation.
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