Habitat distribution modelling and reinforcement of Elaeocarpus serratus L. - A threatened tree species of Assam, India for improvement of its conservation status

Abstract

Elaeocarpus serratus L., commonly known as ‘rudraksh’ referred in the Ayurveda as a wonderful plant for strengthening body constitutions, has been recognized as a threatened plant of Assam, India. Traditionally, rudraksh beads, its bark and leaves are used to cure various ailments like stress, anxiety, depression, nerve pain, epilepsy, migraine, lack of concentration, asthma, hypertension, arthritis and liver diseases. The population stock of the species has been depleting very fast in its natural habitat due to rapid habitat fragmentation and changing climate altering the structural and functional integrity of the plant. Hence, conservation of E. serratus L. with proper scientific investigation to prevent from extinction in its wild habitat is urgently needed. The present study was emphasized with the specific objectives to study the distribution and population status, predication of suitable sites through ENM, standardization of macropropagation methods and reinforcement/reintroduction into the suitable wild habitat to improve conservation status. In the present investigation E. serratus L. was reported in few locations of Assam and Arunachal Pradesh with population sizes of mean density, frequency of occurrence and abundance in relation to other associated species as 0.333, 13.922 and 2.215 respectively. For improving the conservation status, potential area and habitat for reinforcement was predicted using Maximum Entropy (MaxEnt) distribution modelling algorithm. Subsequently, macropropagation protocol was standardized through seed germination and air-layering; saplings were raised and 1050 saplings were reintroduced to the wild habitats selected on the basis of ecological niche modelling. Survival rate was found significantly high as 68%, suggesting that our approach is effective for changing population status and to conserve the plant.