KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Geographic Information Systems
    • GIS Conference Papers, Presentations, Etc.
    • View Item
    •   KU ScholarWorks
    • Geographic Information Systems
    • GIS Conference Papers, Presentations, Etc.
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Species distribution mapping and sustainability measures for a fungus economy in the Indian Himalaya

    Thumbnail
    View/Open
    gis_day2016student_thomas.pdf (2.030Mb)
    Issue Date
    2016-11-16
    Author
    Thomas, Regina B.
    Laha, Amrita
    Talukdar, Gautam
    Rawat, G. S.
    Peterson, A. Townsend
    Publisher
    GIS Day @ KU Planning Committee
    Type
    Poster
    Metadata
    Show full item record
    Abstract
    A entomopathogenic fungus, a fungus that kills its host caterpillar to proliferate. This fungus cures a plethora of ailments. It is one of the most expensive natural resources of the world and a resource that emancipated many from poverty in the remote mountains in the Tibetan plateau and the adjoining high altitude areas of Central and Eastern Himalaya. Geographically, a fine resolution information is lacking for majority of its distribution area. We explored a small region Askot landscape in the state Uttarakhand in Western Himalaya in India. The quest culminated in an extensive questionnaire survey with the villagers and harvesters. A current distribution map based on survey and a predicted suitable zone map using MaXent was produced. The concept is based on distributional ecology of a species which cross sections into concepts of species distribution model and ecological niche modelling. The inputs included both abiotic and biotic factos, albiet complexity. After repeated calibration and manual evaluation analysis, we chose elevation, aspect, slope and 12 PCA inputs of 68 MODIS 13Q1 NDVI layers (2012-2013) as the input data. Presence only data distributed as 10 random replicate pairs is used for training data and evalutation. Occurrence data is error free as it is a primary source data. Model evaluation returned a AUC ratio > 1 values for each, indicating that Maxent curve was significantly elevated above the bull expectations. The process of generating a suitability map convinced us of a sustainable harvest approach for safeguarding direct benefit to people's livelihood and indirectly the local environment.
    Description
    This presentation was given as part of the GIS Day@KU symposium on November 16, 2016. For more information about GIS Day@KU activities, please see http://gis.ku.edu/gisday/2016/.
    URI
    http://hdl.handle.net/1808/23353
    Collections
    • GIS Conference Papers, Presentations, Etc. [203]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps