Saprotrophic fungal diversity predicts ectomycorrhizal fungal diversity along the timberline in the framework of island biogeography theory.
Saprotrophic fungal diversity predicts ectomycorrhizal fungal diversity along the timberline in the framework of island biogeography theory.
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在岛屿生物地理学理论的框架下，腐生真菌多样性预测了林线沿线的外生菌根真菌多样性
DOI：
10.1038/s43705-021-00015-1
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发表时间：
2021-05-18
期刊：
影响因子：
--
通讯作者：
Chu, Haiyan
中科院分区：
文献类型：
--
作者：
Yang, Teng;Tedersoo, Leho;Fu, Xiao;Zhao, Chang;Liu, Xu;Gao, Guifeng;Cheng, Liang;Adams, Jonathan M.;Chu, Haiyan
Island biogeography theory (IBT) is one of the most fruitful paradigms in macroecology, positing positive species-area and negative species-isolation relationships for the distribution of organisms. Biotic interactions are also crucial for diversity maintenance on islands. In the context of a timberline tree species (Betula ermanii) as “virtual island”, we surveyed ectomycorrhizal (EcM) fungal diversity along a 430-m vertical gradient on the top of Changbai Mountain, China, sampling fine roots and neighboring soils ofB. ermanii. Besides elevation, soil properties and plant functional traits, endophytic and saprotrophic fungal diversity were assessed as candidate predictors to construct integrative models. EcM fungal diversity decreased with increasing elevation, and exhibited positive diversity to diameter at breast height and negative diversity to distance from forest edge relationships in both roots and soils. Integrative models further showed that saprotrophic fungal diversity was the strongest predictor of EcM fungal diversity, directly enhancing EcM fungal diversity in roots and soils. Our study supports IBT as a basic framework to explain EcM fungal diversity. The diversity-begets-diversity hypothesis within the fungal kingdom is more predictive for EcM fungal diversity within the IBT framework, which reveals a tight association between saprotrophic and EcM fungal lineages in the timberline ecosystem.
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DOI：
10.1073/pnas.1710455114
发表时间：
2017-10-31
影响因子：
11.1
作者：
Almario J;Jeena G;Wunder J;Langen G;Zuccaro A;Coupland G;Bucher M
通讯作者：
Bucher M
影响因子：
3.7
作者：
Bai, Fan;Sang, Weiguo;Axmacher, Jan C.
通讯作者：
Axmacher, Jan C.
影响因子：
3.6
作者：
ANDREWS, JH;KINKEL, LL;NORDHEIM, EV
通讯作者：
NORDHEIM, EV
影响因子：
6.6
作者：
Bengtsson-Palme, Johan;Ryberg, Martin;Nilsson, R. Henrik
通讯作者：
Nilsson, R. Henrik
影响因子：
2.9
作者：
Cong, Yu;Li, Mai-He;He, Hong S.
通讯作者：
He, Hong S.