Web GIS Enabled Faunal Information System (WGFIS) for Monitoring and Analysis of Species Zoo-Geographic Distribution

Pinak Ranade, Sunil Londhe, Asima Mishra, P.S. Bhatnagar

Abstract


Animals have distribution in both space and time. A given species occupies a certain geographical range, which may also vary as a function of time, climatic conditions (biotic and abiotic factors) e.g. migratory species of some birds, Monarch Butterflies, Mountain gorilla and whales are some of the animal species that show migration. At present, there is tremendous anthropogenic pressure on various animal species. Therefore, it may be beneficial to know their distribution in space and if possible, to know relational aspect with biotic and abiotic factors. At a time, when only a small percentage (<10 %) of the world’s species are known, it is very important to have their GIS mapping to know distributional status of various species belonging to different faunal groups in their entire area of distribution. The proposed system WGFIS aims to offer solution to overcome the issues and will be very useful for monitoring and analysis of Species Zoo-Geographic Distribution. WGFIS will have spatial database of several species in three groups of animals, which will be linked to the requisite attributes for visualization and analysis. WGFIS will have the facility to upload the geo-tagged pictures of the various species to display the actual location on the ground and help in planning, decision making on various conservation measures through objective analysis.

 


Keywords


Web-GIS; Faunal Species; Zoo-Geographic; Mapping

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)