Elevational patterns and ecological determinants of mean family age of angiosperm assemblages in temperate forests within Mount Taibai, China
文献类型:期刊论文
作者 | Zhao, Mingfei1; Wang, Yuhang1; Xue, Feng1; Zuo, Wanyi2; Xing, Kaixiong3; Wang, Guoyi1; Kang, Muyi1; Jiang, Yuan4 |
刊名 | JOURNAL OF PLANT ECOLOGY
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出版日期 | 2018-12-01 |
卷号 | 11期号:6页码:919-927 |
关键词 | species assembly cold tolerance temperate forest habitat filtering clade age tropical conservatism hypothesis |
ISSN号 | 1752-9921 |
DOI | 10.1093/jpe/rty001 |
通讯作者 | Jiang, Yuan(jiangy@bnu.edu.cn) |
英文摘要 | Aims Species assembly is shaped by the interactions among ecological and evolutionary processes. By integrating the niche conservatism and evolutionary history, the tropical niche conservatism hypothesis (TCH) has clarified species latitudinal diversity gradient at large scales. One of the TCH's central predictions, though lacking empirical evidence, implies that positive relationship between clade age and temperature along the altitudinal gradient should also be observed. Thus, we aim to test this prediction using a data set derived from forest communities of Mt. Taibai, central China. Methods We systematically established 49 plots (20 m x 30 m) along the north slope on Mt. Taibai, China. We calculated the mean family age (MFA) and its corresponding standardized values through rarefication and standardization, for woody and herbaceous angiosperm assemblages in each community respectively. Generalized linear models with Akaike weight and correlation analysis was used to evaluate the relationships between MFA with seven environmental predictors. Important Findings For both woody and herbaceous assemblages, the standardized MFA showed significant decreasing tendencies along the elevational gradient and positive associations with minimum temperature (measured as mean temperature of the coldest month). Additionally, minimum temperature is the dominant predictor compared with the others in the regression models. These findings are generally consistent with the age-related predictions of the TCH, but are contrary to the results of related studies conducted in tropical regions. |
WOS关键词 | NICHE CONSERVATISM ; PHYLOGENETIC STRUCTURE ; LATITUDINAL GRADIENTS ; SPECIES RICHNESS ; BETA-DIVERSITY ; LIFE-HISTORY ; CLADE AGE ; EVOLUTION ; COMMUNITIES ; PRODUCTIVITY |
资助项目 | National Natural Science Foundation of China[41630750] ; National Natural Science Foundation of China[41271059] ; National Key Basic Research Special Foundation of China[2011FY110300] |
WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000456053600012 |
出版者 | OXFORD UNIV PRESS |
资助机构 | National Natural Science Foundation of China ; National Key Basic Research Special Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/50583] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Jiang, Yuan |
作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, 19 XinJieKouWai St, Beijing 100875, Peoples R China 2.Imperial Coll London, Taxon & Biodivers, London SW7 2AZ, England 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Fac Geog Sci, Beijing Key Lab Tradit Chinese Med Protect & Util, 19 XinJieKouWai St, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Mingfei,Wang, Yuhang,Xue, Feng,et al. Elevational patterns and ecological determinants of mean family age of angiosperm assemblages in temperate forests within Mount Taibai, China[J]. JOURNAL OF PLANT ECOLOGY,2018,11(6):919-927. |
APA | Zhao, Mingfei.,Wang, Yuhang.,Xue, Feng.,Zuo, Wanyi.,Xing, Kaixiong.,...&Jiang, Yuan.(2018).Elevational patterns and ecological determinants of mean family age of angiosperm assemblages in temperate forests within Mount Taibai, China.JOURNAL OF PLANT ECOLOGY,11(6),919-927. |
MLA | Zhao, Mingfei,et al."Elevational patterns and ecological determinants of mean family age of angiosperm assemblages in temperate forests within Mount Taibai, China".JOURNAL OF PLANT ECOLOGY 11.6(2018):919-927. |
入库方式: OAI收割
来源:地理科学与资源研究所
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