Song Xiaotong, Gu Jiqi, Liu Ling, Liao Yujia, Ma Heping, Wang Ruihong, Ye Yanhui, Li Ji, Shao Xiaoming
College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing, 100193, China.
Heliyon. 2024 Jul 10;10(14):e34515. doi: 10.1016/j.heliyon.2024.e34515. eCollection 2024 Jul 30.
The Qinghai-Tibet Plateau stands as one of the most ecologically fragile and biodiversity-rich regions globally. Understanding the distribution of different taxa and their relationship with environmental factors is crucial for effective conservation and sustainable management. Polytrichaceae, a significant bryophyte family widely distributed in Tibet, displays distinct structural, morphological, and phylogenetic traits compared to other mosses. Despite its importance, the distribution of Polytrichaceae in Tibet and its correlation with environmental factors have yet to be explored. In this study, we used an optimized Maximum Entropy (MaxEnt) model to explore the potential suitable habitats of Polytrichaceae in Tibet, aiming to clarify their geographic distribution pattern as well as the key environmental influence factors. The model had high accuracy with an average Area Under the Curve (AUC) of 0.933 and True Skill Statistics (TSS) value of 0.789. The results showed that the potential suitability habitats of Polytrichaceae were mainly located in southeastern Tibet, and the low suitable, moderately suitable, and highly suitable habitats accounted for 12.53 %, 6.84 %, and 3.31 % of the total area of Tibet respectively. Unsuitable habitats were mainly located in northwestern Tibet, accounting for about 77.32 %. In Tibet, temperature factors (Mean Temperature of Coldest Quarter (Bio11) and Annual Mean Temperature (Bio1)) played a pivotal role in determining the potential suitable habitats for Polytrichaceae, and elevation, precipitation, and vegetation coverage also had an important influence. The family preferred warm, moist and densely vegetated habitats in Tibet. This study enriched our ecological understanding of bryophyte ecology in this region and provided data-driven support for biodiversity conservation and ecosystem management in Tibet.
青藏高原是全球生态最脆弱、生物多样性最丰富的地区之一。了解不同分类群的分布及其与环境因素的关系对于有效保护和可持续管理至关重要。金发藓科是广泛分布于西藏的重要苔藓植物科，与其他苔藓相比，具有独特的结构、形态和系统发育特征。尽管其重要性，但金发藓科在西藏的分布及其与环境因素的相关性尚未得到探索。在本研究中，我们使用优化的最大熵（MaxEnt）模型来探索西藏金发藓科的潜在适宜栖息地，旨在阐明其地理分布模式以及关键环境影响因素。该模型具有较高的准确性，平均曲线下面积（AUC）为0.933，真技能统计（TSS）值为0.789。结果表明，金发藓科的潜在适宜栖息地主要位于西藏东南部，低适宜、中度适宜和高度适宜栖息地分别占西藏总面积的12.53%、6.84%和3.31%。不适宜栖息地主要位于西藏西北部，约占77.32%。在西藏，温度因素（最冷月平均温度（Bio11）和年平均温度（Bio1））在决定金发藓科潜在适宜栖息地方面起关键作用，海拔、降水和植被覆盖也有重要影响。该科在西藏偏好温暖、湿润和植被茂密的栖息地。本研究丰富了我们对该地区苔藓植物生态学的认识，并为西藏的生物多样性保护和生态系统管理提供了数据驱动的支持。
