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The paucity of modern pollen-rain data from the central part of Uttar Pradesh is a significant barrier to understanding the Late Quaternary vegetation history from the northern region of India.
Consequently, the relationship between soil resource heterogeneity and vegetation type is dependent on the study region.
It is intriguing that some species can perform in a wide range of vegetation types and that other species are more restricted.
In such cases a type of vegetation is to be found which is different from
Results indicate that the vegetation index is highly correlated with physical parameters of vegetation, in particular, dry biomass and leaf area index (LAI).
The results suggest that the intra-regional vegetation diversity is comparable to that of Northern England, and it is related to variation in both altitude and soil type.
And if there is any one set of facts which is more susceptible to direct study and exact characterization than any other, it is the floristic composition of the vegetation.
Different types of vegetation, defined by areas of land use type, show distinct differences in how they respond to the changes in water storage, which is generally consistent with our physical understanding.
Study indicated large variations in vegetation dynamics across India owing to bio-climate and natural resource base.
Journal ArticleDOI
Partha Sarathi Roy, Mukunda Dev Behera, M. S. R. Murthy, Arijit Roy, Sarnam Singh, S. P. S. Kushwaha, Chandra Shekhar Jha, S. Sudhakar, Pawan Kumar Joshi, Ch. Sudhakar Reddy, Stutee Gupta, Girish Pujar, C. B. S. Dutt, V. K. Srivastava, M. C. Porwal, Poonam Tripathi, J. S. Singh, V. S. Chitale, Andrew K. Skidmore, G. Rajshekhar, Deepak Kushwaha, Harish Karnatak, Sameer Saran, A. Giriraj, Hitendra Padalia, Manish Kale, Subrato Nandy, C. Jeganathan, C. P. Singh, Chandrashekhar Biradar, Chandrashekhar Biradar, Chiranjibi Pattanaik, D. K. Singh, G. M. Devagiri, Gautam Talukdar, Rabindra K. Panigrahy, Harnam Singh, J. R. Sharma, K. Haridasan, Shivam Trivedi, Kiran Singh, L. Kannan, M. Daniel, M. K. Misra, Madhura Niphadkar, Nidhi Nagabhatla, Nupoor Prasad, Om Prakash Tripathi, P. Rama Chandra Prasad, Pushpa Dash, Qamer Qureshi, Shri Kant Tripathi, B. R. Ramesh, Balakrishnan Gowda, Sanjay Tomar, Shakil Ahmad Romshoo, Shilpa Giriraj, Shirish A. Ravan, Soumit K. Behera, Subrato Paul, Ashesh Kumar Das, B. K. Ranganath, T. P. Singh, T. R. Sahu, Uma Shankar, A. R. R. Menon, Gaurav Srivastava, Neeti, Subrat Sharma, U. B. Mohapatra, Ashok Peddi, Humayun Rashid, Irfan Salroo, P. Hari Krishna, P. K. Hajra, A. O. Vergheese, Shafique Matin, Swapnil A. Chaudhary, Sonali Ghosh, Udaya Lakshmi, Deepshikha Rawat, Kalpana Ambastha, Akhtar H. Malik, B. S. S. Devi, Balakrishna Gowda, K. C. Sharma, Prashant Mukharjee, Ajay Sharma, Priya Davidar, R. R. Venkata Raju, S. S. Katewa, Shashi Kant, Vatsavaya S. Raju, B. P. Uniyal, Bijan Debnath, D. K. Rout, Rajesh Thapa, Shijo Joseph, Pradeep Chhetri, Reshma M. Ramachandran 
140 Citations
This vegetation type map is the most comprehensive one developed for India so far.
Here we show that normalized difference vegetation index (NDVI) along with other hydroclimatic variables (soil moisture and sea surface temperature) can be effectively used to predict vegetation anomalies in India.
Comparison with other localities along the west coast of southern India hints at a similar vegetation and climate throughout the early and middle Miocene.
Therefore, we strongly recommend further studies about karst-land vegetation in India.
We suggest focusing more on the differences between vegetation types when addressing the climate–vegetation relationships at a regional scale.
The predicted vegetation anomalies compare well with observations, which can be effectively utilized in early warning and better planning in water resources and agricultural sectors in India.

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