A phylogenetic approach identifies patterns of beta diversity and floristic subregions of the Qinghai-Tibet Plateau

β多样性 系统发育多样性 系统发育树 生态学 排序 α多样性 高原(数学) 植物区系学 地理 伽马多样性 物种丰富度 生物 数学分析 生物化学 数学 基因
作者
Haibin Yu,Ming Yang,Z. J. Lu,Weitao Wang,Fangyuan Yu,Yonghua Zhang,Xue Yin,Hongjun Yu,Junjie Hu,David C. Deane
出处
期刊:Plant Diversity [Elsevier]
标识
DOI:10.1016/j.pld.2023.07.006
摘要

Patterns of taxonomic and phylogenetic beta diversity and their relationships with environmental correlates can help reveal the origin and evolutionary history of regional biota. The Qinghai-Tibet Plateau (QTP) harbors an exceptionally diverse flora, however, a phylogenetic perspective has rarely been used to investigate its beta diversity and floristic regions. In this study, we used a phylogenetic approach to identify patterns of beta diversity and quantitatively delimit floristic regions on the Qinghai-Tibet Plateau. We also examined the relationships between multifaceted beta diversity, geographical distance, and climatic difference, and evaluated the relative importance of various factors (i.e., climate, topography and history) in shaping patterns of beta diversity. Sørensen dissimilarity indices indicated that patterns of species turnover among sites dominated the QTP. We also found that patterns of both taxonomic and phylogenetic beta diversity were significantly related to geographical distance and climatic difference. The environmental factors that contributed most to these patterns of beta diversity include annual precipitation, mean annual temperature, climatic gradients and climatic instability. Hierarchical dendrograms of dissimilarity and non-metric multidimensional scaling ordination based on phylogenetic beta diversity data identified ten floristic subregions in the QTP. Our results suggest that the contemporary environment and historical climate changes have filtered species composition among sites and eventually determined beta diversity patterns of plants in the QTP.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
热切菩萨应助科研安徒生采纳,获得10
刚刚
刚刚
xiaoxiao完成签到,获得积分10
刚刚
Owen应助噜噜晓采纳,获得10
1秒前
希望天下0贩的0应助都是采纳,获得10
1秒前
yy发布了新的文献求助10
1秒前
尉迟怜翠发布了新的文献求助10
3秒前
4秒前
4秒前
314gjj发布了新的文献求助10
4秒前
5秒前
亿妤完成签到,获得积分10
5秒前
打工是不可能打工的完成签到 ,获得积分10
6秒前
琦琦完成签到,获得积分10
7秒前
嗷呜嗷呜完成签到,获得积分10
7秒前
7秒前
哈哈环完成签到 ,获得积分10
7秒前
7秒前
寻道图强应助Sophia采纳,获得30
8秒前
宇哈哈发布了新的文献求助10
8秒前
9秒前
zzz完成签到 ,获得积分10
10秒前
10秒前
林黛玉倒拔周树人完成签到,获得积分10
12秒前
yy完成签到,获得积分10
12秒前
12秒前
jayne完成签到 ,获得积分10
12秒前
12秒前
orixero应助菜菜采纳,获得30
13秒前
1257应助诚心雁采纳,获得10
13秒前
小雨发布了新的文献求助10
15秒前
我不爱池鱼应助猪猪玉采纳,获得10
15秒前
科研通AI2S应助啦啦啦采纳,获得10
15秒前
16秒前
噜噜晓发布了新的文献求助10
16秒前
英俊的访波完成签到 ,获得积分10
17秒前
17秒前
17秒前
背完单词好睡觉完成签到 ,获得积分10
18秒前
18秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1100
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Research Methods for Sports Studies 1000
Gerard de Lairesse : an artist between stage and studio 670
T/CAB 0344-2024 重组人源化胶原蛋白内毒素去除方法 500
[Procedures for improving absorption properties of polystyrene microtest plates by coating with nitrocellulose] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2981071
求助须知:如何正确求助?哪些是违规求助? 2642454
关于积分的说明 7130061
捐赠科研通 2275477
什么是DOI,文献DOI怎么找? 1207138
版权声明 592045
科研通“疑难数据库(出版商)”最低求助积分说明 589713