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Thus, the establishment of artificial vegetation (Rubber plantation) not only led to the decrease in natural vegetation (3641.16 km(2)) but also covered 343.66 km(2) of lands for other uses.
The significant greening trends covered up to 30% of cultivated land, thus indicating that cultivated vegetation may be increasing faster than natural vegetation.
The relative effects of the natural and human factors on vegetation productivity varied with spatial scale.
From an observational and practical point of view, the natural resource has been declining rapidly in India.
The present study shows the application of vegetation and temperature condition indices for drought monitoring in India.
The results also show that the rate at which cropland/secondary vegetation is increasing is above average while sandbar is increasing below average.
The contribution of LULC changes towards cooling over India during 1981–2006 is due to the reduction of area under shrubs/ small vegetation and subsequent increase of the area under agricultural/ fallow land.
The results, presented at eco-region level and aggregated at sub-Saharan level, show a 57% increase in agriculture area at the expense of natural vegetation which has itself decreased by 21% over the period, with nearly 5 million hectares forest and non-forest natural vegetation lost per year.
The results show that the vegetation has been highly dynamic in response to both anthropogenic and 'natural' disturbance, and to the immigration of Picea.
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.
Simulated AOT40 values are found to be substantially higher throughout the year over the most fertile Indo-Gangetic plains than the other regions of India, which can have an adverse effect on plants and vegetation in this region.
These results highlight the climatic controls of vegetation vigor in evergreen forests and have implications for monitoring bio-spheric activity, developing prognostic phenology models and deriving land cover maps in the Western Ghats region of India.
Therefore, we strongly recommend further studies about karst-land vegetation in India.
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.