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Species Distribution Models (SDM) – A Strategic Tool for Predicting Suitable Habitats for Conserving the Target Species: GIS and Special Distribution Modelling (SDM)
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Author(s): Balaguru Balakrishnan (Jamal Mohamed College, India), Nagamurugan Nandakumar (Government Arts College Melur, India), Soosairaj Sebastin (St. Joseph's College, Tiruchirappalli, India)and Khaleel Ahamed Abdul Kareem (Jamal Mohamed College, India)
Copyright: 2017
Pages: 14
Source title:
Handbook of Research on Geographic Information Systems Applications and Advancements
Source Author(s)/Editor(s): Sami Faiz (University of Tunis El Manar, Tunis, Tunisia)and Khaoula Mahmoudi (LTSIRS Laboratory, University of Tunis El Manar, Tunisia)
DOI: 10.4018/978-1-5225-0937-0.ch017
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Abstract
Conservation of the species in their native landscapes required understanding patterns of spatial distribution of species and their ecological connectivity through Species Distribution Models (SDM) by generation and integration of spatial data from different sources using Geographical Information System (GIS) tools. SDM is an ecological/spatial model which combines datasets and maps of occurrence of target species and their geographical and environmental variables by linking various algorithms together, that has been applied to either identify or predict the regions fulfilling the set conditions. This article is focused on comprehensive review of spatial data requirements, statistical algorithms and softwares used to generate the SDMs. This chapter also includes a case study predicting the suitable habitat distribution of Gnetum ula, an endemic and vulnerable plant species using maximum entropy (MaxEnt) species distribution model for species occurrences with inputs from environmental variables such as bioclimate and elevation.
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