Data for: Vegetation and soil ecology of threatened Himalayan Trillium habitats in Kashmir, Himalaya

Understanding the vegetation and soil ecology of natural habitats harbouring threatened species is critical in conservation planning and restoration. The present study investigated the vegetation composition and soil physico-chemical attributes of natural habitats of Trillium govanianum – a threatened Himalayan endemic species. We laid 120 quadrats across eight randomly selected sites where the species was growing in the Kashmir Himalaya. We collected the soil samples from these sites and determined soil physico-chemical attributes using standard methods. Across all the sites, we found a total of 57 plant species with dominance of Rosaceae and Ranunculaceae. The IVI results revealed that Fragaria nubicola, Corydalis diphylla, Galium aparine, and Leucanthemum vulgare, were the dominant species in T. govanianum communities. The density, abundance and IVI of 3-leaf vegetative plants was higher than 1-leaf vegetative and 3-leaf reproductive plants across all the study sites. We found that T. govanianum alone forms 23.5 % positive, 0 negative, 76.4% random co-occurrences with other associated species in its community. Our results reveal that the variations in vegetation composition among the sites was influenced by differences in soil properties. Principal component analysis revealed that several soil parameters such as organic carbon, nitrogen, potassium, and sulphur were concentrated in five sites, namely Dara, Drung, Bangus, Gulmarg, and Doodhpathri, which also showed the highest density, frequency, and abundance of T. govanianum. Overall, our study contributes quantitative information on the vegetation and soil ecology of T. govanianum-assemblages, which in turn can help in developing conservation strategies for this threatened species, and its sustainable management and habitat restoration.

Methods
Data was collected by carrying out field surveys across the different sampling sites. The data was written on already prepared datasheets and arranged on spreadsheets for further ananlysis using different softwares.