El-Khalafy Mohamed M, Abo Hatab Asmaa S, Al-Sodany Yassin M, Shaltout Kamal H, Bedair Heba M
Botany and Microbiology Department, Faculty of Science, Kafrelsheikh University, Kafrelsheikh, 33511, Egypt.
Botany and Microbiology Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt.
BMC Plant Biol. 2025 Sep 16;25(1):1203. doi: 10.1186/s12870-025-07127-z.
Evaluating the effect of climate change on the distribution patterns of endemic plants in the mountainous areas is critical for understanding the dynamics of this terrestrial ecosystem in the uncertainty of future changes. The population size of the endemic plants in Saint Catherine protectorate (SKP) has declined significantly over the previous century, as the climatic changes, especially drought and high temperature are the most threats that influenced the presence of them.
Three endangered endemic taxa (Anarrhinum forskaohlii subsp. pubescens, Origanum syriacum subsp. sinaicum, and Polygala sinaica var. sinaica) were assessed depending on IUCN categories and criteria. Besides, the response of these taxa to anticipated climate change over the next few decades was investigated using species distribution models (SDMs). Our analysis included insertion of bioclimatic and soil variables in the SDM modeling process and incorporation of four main algorithms (generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), and Support Vector Machines (SVM) in an ensemble model. RF and GLM algorithms outperformed the other algorithms, underscoring their efficacy in predicting the distribution of endemics in Saint Catherine Protectorate (SKP). An examination of the relative significance of bioclimatic variables revealed that wind and climate variables were dominant in shaping the potential distribution of the three taxa. Wind, Bio9, Bio3, Vol. water content at -10kpa (water10) and elevation were the most effective variables for A. forskaohlii subsp. pubescens; wind, Bio3, Bio15, clay, and elevation for O. syriacum subsp. sinaicum; wind, Bio3, Bio8, clay, aridity index and elevation for P. sinaica var. sinaica. In addition, our projections showed that the potential range of O. syriacum subsp. sinaicum is expected to decrease over the next few decades under both scenarios SSP585 and SSP126. On the other hand, A. forskaohlii subsp. pubescens and P. sinaica var. sinaica are expected to expand over the next few decades under both scenarios.
Controlling the risk that threaten these species and implementing protection measures is essential. It is crucial to enact laws and regulations to ensure their safeguarding. Our discoveries highlight the urgency of conservation measures such as reintroduction, in situ and ex situ conservation planning in appropriate habitats.
评估气候变化对山区特有植物分布格局的影响,对于理解这个陆地生态系统在未来变化不确定性中的动态变化至关重要。在上个世纪,圣凯瑟琳保护区(SKP)内特有植物的种群数量显著下降,因为气候变化,尤其是干旱和高温是影响它们生存的最大威胁。
根据国际自然保护联盟(IUCN)的分类和标准,对三种濒危特有分类群(柔毛福氏鼻花亚种、西奈牛至亚种和西奈远志变种)进行了评估。此外,使用物种分布模型(SDM)研究了这些分类群在未来几十年对预期气候变化的响应。我们的分析包括在SDM建模过程中插入生物气候和土壤变量,并在一个集成模型中纳入四种主要算法(广义线性模型(GLM)、随机森林(RF)、增强回归树(BRT)和支持向量机(SVM))。RF和GLM算法的表现优于其他算法,突出了它们在预测圣凯瑟琳保护区(SKP)特有植物分布方面的有效性。对生物气候变量相对重要性的研究表明,风和气候变量在塑造这三个分类群的潜在分布方面占主导地位。风、Bio9、Bio3、-10kpa时的体积含水量(water10)和海拔是柔毛福氏鼻花亚种最有效的变量;风、Bio3、Bio15、粘土和海拔是西奈牛至亚种的有效变量;风、Bio3、Bio8、粘土、干旱指数和海拔是西奈远志变种的有效变量。此外,我们的预测表明,在SSP585和SSP126这两种情景下,西奈牛至亚种的潜在分布范围预计在未来几十年都会缩小。另一方面,在这两种情景下,柔毛福氏鼻花亚种和西奈远志变种预计在未来几十年都会扩大。
控制威胁这些物种的风险并实施保护措施至关重要。制定法律法规以确保对它们的保护至关重要。我们的发现凸显了诸如重新引入、在合适栖息地进行原地和迁地保护规划等保护措施的紧迫性。