Predicting the suitable habitats of Elwendia persica in the Indian Himalayan Region (IHR)

Sajan Thakur, I. Rai, Bikarma Singh, H. C. Dutt, C. Musarella
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Abstract

Abstract Rare, Endemic and Threatened (RET) species with naturally small populations are always at high risk of extinction, especially during the climate change process. Climate change phenomena are also identified as a strong driver in the habitat shift of many medicinal and aromatic plants (MAPs). The expected consequences of climate change are so dangerous that some key species can move to extinction. Therefore, the quest for suitable habitats of such species is taken as a challenge by various ecologists and conservationists. This study aims to predict the suitable habitats of Elwendia persica (Boiss.) Pimenov & Kljuykov, a threatened species for current and future climatic scenarios in the Indian Himalayan Region (IHR). The assessments for current and future climatic scenarios are accessed on the optimistic Representative Concentration Pathway 4.5 (RCP 4.5). The MaxENT algorithm has helped to predict the suitable habitat of the species in the study area. The model has predicted 1.12%, 2.37%, and 0.98% of the total study area as highly suitable habitats in current (2000) and future (2050 and 2070) climatic scenarios. South-eastern facing slopes are considered as the most suitable areas for the species in the Indian Himalayan Region. Our results show that suitable habitats of the species may increase upto 2050, and subsequently decrease.
印度喜马拉雅地区榆树适宜生境的预测
摘要在气候变化过程中,自然种群数量较小的珍稀、特有种和濒危物种(RET)面临着灭绝的高风险。气候变化现象也被认为是许多药用和芳香植物(MAPs)栖息地转移的一个强大驱动因素。气候变化的预期后果是如此危险,以至于一些关键物种可能会走向灭绝。因此,为这些物种寻找合适的栖息地是许多生态学家和自然资源保护主义者所面临的挑战。本研究的目的是预测巴西Elwendia persica (Boiss.)的适宜生境。Pimenov & Kljuykov是印度喜马拉雅地区(IHR)当前和未来气候情景下的濒危物种。当前和未来气候情景的评估基于乐观的代表性浓度路径4.5 (RCP 4.5)。MaxENT算法有助于预测研究区域内物种的适宜栖息地。在当前(2000年)和未来(2050年和2070年)气候情景下,该模型分别预测了1.12%、2.37%和0.98%的研究面积为高度适宜生境。东南面坡被认为是印度喜马拉雅地区最适合该物种的地区。结果表明,到2050年,该物种的适宜栖息地可能会增加,随后会减少。
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