Open Access Open Access  Restricted Access Subscription Access

Improving bioclimatic envelop modeling for Lichens through remote sensing based substratum correction: A study over Indian Himalaya

C. P. Singh, R. Bajpai, R. P. Singh, D. K. Upreti


In alpine Himalaya, the niche map of lichens and its characteristics is a gap area. A novel
approach of improving the bioclimatic envelop through use of remote sensing inputs was
employed. The 19 bioclimatic indices and digital elevation model were used for training
niche models through occurrence records of 33 lichen species across Indian Himalaya.
Substratum correction was carried out using LU/LC data. About 45% of the total geographic
area studied is found to be very conducive (with niche probability > 70%) for the growth
of lichens with predictive accuracy of 91% ascertained through cross-validation. Jammu and
Kashmir is having highest niche area (36.02%); however, average probability niche score
is highest in Uttarakhand (81.08). Area between 27o - 28o N latitude is having highest area
however average probability score is highest in 30o - 31o N. Overall maximum niche area
(35.50 %) is found in the regions dominated by alpine meadow, alpine grasslands and
parts of cold deserts. The potential use lies in reporting yet to be explored lichens in the
Indian Himalaya.


bioclimatic indices, digital elevation model, environmental , niche, land use/land cover, lichen.

Full Text:




  • There are currently no refbacks.