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西藏条鳅的海拔多样性梯度:生态与进化过程的相对作用。

Elevational diversity gradients of Tibetan loaches: The relative roles of ecological and evolutionary processes.

作者信息

Feng Chenguang, Wu Yongjie, Tian Fei, Tong Chao, Tang Yongtao, Zhang Renyi, Li Guogang, Zhao Kai

机构信息

Key Laboratory of Adaptation and Evolution of Plateau Biota, and Laboratory of Plateau Fish Evolutionary and Functional Genomics Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining Qinghai China.

University of Chinese Academy of Sciences Beijing China.

出版信息

Ecol Evol. 2017 Oct 22;7(23):9970-9977. doi: 10.1002/ece3.3504. eCollection 2017 Dec.

DOI:10.1002/ece3.3504
PMID:29238529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5723583/
Abstract

It is widely believed that species richness patterns (SRPs) are shaped by both ecological and evolutionary processes. However, the relative roles of these processes remain unclear, especially for aquatic organisms. In this study, we integrated ecological and evolutionary measures to tease apart the relative influences of these factors on the SRP of Tibetan loaches along an extensive elevational gradient. We found that the Tibetan loaches displayed a richness pattern that peaked at midelevations. The mean annual temperature (MAT), mid-domain effect (MDE), and summed age of colonization (SAC, complex of colonization age and colonization frequency) were the main drivers, accounting for 85%, 51%, and 88% of the variations in the SRP, respectively. The three predictors had very high combined effects (MAT-MDE-SAC, MAT-SAC, and MDE-SAC were 44%, 38%, and 6%, respectively). Our analyses suggested that energy input, time-for-speciation, and species dispersal may directly guide the SRP or mediate it by geometric constraints. Conclusively, the SRP of the Tibetan loaches with elevation is the outcome of interactions between biogeographical processes and regional ecological conditions.

摘要

人们普遍认为,物种丰富度格局(SRPs)是由生态和进化过程共同塑造的。然而,这些过程的相对作用仍不明确,尤其是对于水生生物而言。在本研究中,我们整合了生态和进化指标,以厘清这些因素对沿广泛海拔梯度的西藏条鳅物种丰富度格局的相对影响。我们发现,西藏条鳅呈现出在中等海拔达到峰值的丰富度格局。年均温度(MAT)、中域效应(MDE)和定殖总年龄(SAC,定殖年龄和定殖频率的综合指标)是主要驱动因素,分别解释了物种丰富度格局中85%、51%和88%的变异。这三个预测因子具有非常高的综合效应(MAT-MDE-SAC、MAT-SAC和MDE-SAC分别为44%、38%和6%)。我们的分析表明,能量输入、物种形成时间和物种扩散可能直接引导物种丰富度格局,或通过几何限制对其产生介导作用。总之,西藏条鳅的物种丰富度格局随海拔变化是生物地理过程与区域生态条件相互作用的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/6eece6a64d8a/ECE3-7-9970-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/e0e0a3d680b6/ECE3-7-9970-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/7a968b691483/ECE3-7-9970-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/88ef13c7d0cd/ECE3-7-9970-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/b5c1d9ddbf3c/ECE3-7-9970-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/62507044513a/ECE3-7-9970-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/6eece6a64d8a/ECE3-7-9970-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/e0e0a3d680b6/ECE3-7-9970-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/7a968b691483/ECE3-7-9970-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/88ef13c7d0cd/ECE3-7-9970-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/b5c1d9ddbf3c/ECE3-7-9970-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/62507044513a/ECE3-7-9970-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5698/5723583/6eece6a64d8a/ECE3-7-9970-g006.jpg

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