Predicting the current and future potential habitat of Taxus species over Indian Himalayan Region using MaxEnt model

The Himalayan region harbours a rich biodiversity, with Taxus wallichiana and Taxus contorta (Taxus species) are playing a significant role in its flora. A study was conducted to ascertain the potential range of these plant species in the Indian Himalayan Region by synthesizing species distribution models using MaxEnt for different climate change scenarios. The geocoordinates of Taxus species populations were obtained from various sources, including field visits, scientific literature, and the Global Biodiversity and Information Facility web portal to run the model and the two species were segregated according to their geographic range. Further, the environmental predictors of current and future climate scenarios of four Shared Socioeconomic Pathways (SSP126, SSP345, SSP370, SSP585) were obtained from the WorldClim web portal. The Jackknife test and ROC analysis were used to validate the model. The projected map showed Arunachal Pradesh, Sikkim, Manipur for T. wallichiana under the current climate scenario and Himachal Pradesh, Uttarakhand, and some parts of Jammu & Kashmir as potential distribution regions for T. contorta. In future scenarios, the high potential area for this species decreased the most in 2050s of SSP126 to 4,960.4 km² for T. wallichiana and corresponding maximum decrease for T. contorta was SSP345 to 6,866.7 km² in 2050s; which were however found to be increased the most in 2070s for T. wallichiana, i.e. up to 14,693.5 km² (SSP585) and for T. contorta, an increase of 11,060.69 km² in 2100s (SSP126). The Jackknife test indicated that the climatic variable, Srad 5 and BIO 17 exerted the largest influence on the generated model of the current potential distribution of T. wallichiana and T. contorta respectively. The research findings are significant as they provide insights into the potential range of Taxus species and can help develop conservation and sustainable management strategies for the unique biodiversity of the region.