Shi Ning, Naudiyal Niyati, Wang Jinniu, Gaire Narayan Prasad, Wu Yan, Wei Yanqiang, He Jiali, Wang Chunya
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2022 Jan 13;12:830119. doi: 10.3389/fpls.2021.830119. eCollection 2021.
is an iconic ornamental and medicinal plant whose natural habitat has degraded under global climate change, posing a serious threat to the future survival of the species. Therefore, it is critical to analyze the influence of climate change on possible distribution of for conservation and sustainable utilization of this species. In this study, we used MaxEnt ecological niche modeling to predict the potential distribution of under current and future climate scenarios in the southeastern margin region of Qinghai-Tibet Plateau. Model projections under current climate show that 16.8% of the study area is suitable habitat for . However, future projections indicate a sharp decline in potential habitat for 2050 and 2070 climate change scenarios. Soil type was the most important environmental variable in determining the habitat suitability of , with 27.75% contribution to model output. Temperature seasonality (16.41%), precipitation of warmest quarter (14.01%), and precipitation of wettest month (13.02%), precipitation seasonality (9.41%) and annual temperature range (9.24%) also made significant contributions to model output. The mean elevation of suitable habitat for distribution of is also likely to shift upward in most future climate change scenarios. This study provides vital information for the protection and sustainable use of medicinal species like in the context of global environmental change. Our findings can aid in developing rational, broad-scale adaptation strategies for conservation and management for ecosystem services, in light of future climate changes.
是一种标志性的观赏和药用植物,其天然栖息地在全球气候变化下已经退化,对该物种的未来生存构成严重威胁。因此,分析气候变化对其可能分布的影响对于该物种的保护和可持续利用至关重要。在本研究中,我们使用MaxEnt生态位建模来预测青藏高原东南边缘地区当前和未来气候情景下的潜在分布。当前气候条件下的模型预测表明,研究区域的16.8%是该植物的适宜栖息地。然而,未来预测表明,在2050年和2070年气候变化情景下,潜在栖息地将急剧减少。土壤类型是决定该植物栖息地适宜性的最重要环境变量,对模型输出的贡献率为27.75%。温度季节性(16.41%)、最暖季度降水量(14.01%)、最湿月份降水量(13.02%)、降水季节性(9.41%)和年温度范围(9.24%)也对模型输出有显著贡献。在大多数未来气候变化情景下,该植物分布适宜栖息地的平均海拔也可能向上移动。本研究为全球环境变化背景下该药用植物的保护和可持续利用提供了重要信息。根据未来气候变化,我们的研究结果有助于制定合理且广泛适用的适应策略,以保护和管理生态系统服务。