Department of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
Environ Monit Assess. 2022 Feb 11;194(3):169. doi: 10.1007/s10661-022-09793-0.
Identifying the consequences of global warming on the potential distribution of plant taxa with high species diversity or a high proportion of endemic species is one of the critical steps in conservation biology. Here, present and future spatial distribution patterns of 20 Allium endemic species were predicted in Iran. In this regard, the maximum entropy model (MaxEnt) and seven environmental factors were applied. In addition, optimistic (RCP2.6) and pessimistic (RCP8.5) scenarios of 2050 and 2080 were also considered to predict the future spatial distributions. The results showed that annual mean temperature (BIO1), temperature annual range (P5-P6) (BIO7), soil organic carbon content, annual precipitation (BIO12), and depth of soil were the most important environmental variables affecting the distributions of the studied taxa. In total, the model predictions under the future scenarios represented that the suitable habitats for all Allium species endemic to Zagros except for A. saralicum and A. esfahanicum are most probably increased. In contrast, the suitable habitats for all species in Azerbaijan Plateau, Kopet Dagh-Khorassan region, and Alborz except for A. derderianum are most likely decreased under the future climate conditions. The present study indicates that the habitats of Alborz, Azarbaijan, and Kopet Dagh-Khorassan will be probably very fragile and vulnerable to climate change and most species will respond strongly negatively under applied scenarios, while Zagros species occupy new habitats by expanding their distributions. Therefore, determining conservation strategies for the species in these regions seems to be very important and high priority for decision makers.
确定具有高物种多样性或高特有物种比例的植物分类群的全球变暖对潜在分布的影响,是保护生物学的关键步骤之一。本研究预测了伊朗 20 种葱属特有种的现在和未来的空间分布格局。为此,应用了最大熵模型(MaxEnt)和 7 个环境因子。此外,还考虑了 2050 年和 2080 年的乐观(RCP2.6)和悲观(RCP8.5)情景,以预测未来的空间分布。结果表明,年平均气温(BIO1)、温度年较差(P5-P6)(BIO7)、土壤有机碳含量、年降水量(BIO12)和土壤深度是影响研究分类群分布的最重要环境变量。总的来说,未来情景下的模型预测表明,除了 A. saralicum 和 A. esfahanicum 之外,扎格罗斯山脉所有葱属特有种的适宜栖息地极有可能增加。相比之下,在未来气候条件下,除 A. derderianum 外,阿塞拜疆高原、科佩特达格-霍拉桑地区和阿尔伯兹山脉的所有物种的适宜栖息地极有可能减少。本研究表明,阿尔伯兹、阿塞拜疆和科佩特达格-霍拉桑地区的栖息地极有可能在气候变化下变得非常脆弱和敏感,在应用情景下,大多数物种将强烈负面响应,而扎格罗斯山脉的物种将通过扩大分布来占据新的栖息地。因此,为这些地区的物种确定保护策略似乎对决策者来说非常重要且优先级很高。