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Plant community traits can explain variation in productivity of selective logging forests after different restoration times

文献类型：期刊论文

作者Li, Ying1,2; Li, Qian1; Xu, Li2; Li, Mingxu2; Chen, Zhi2,3; Song, Zhaopeng1; Hou, Jihua1; He, Nianpeng2,3,4
刊名ECOLOGICAL INDICATORS
出版日期2021-11-01
卷号131页码:8
关键词Plant trait ANPP Broadleaf-conifer mixed forests Restoration gradient
ISSN号1470-160X
DOI10.1016/j.ecolind.2021.108181
通讯作者Hou, Jihua(houjihua@bjfu.edu.cn) ; He, Nianpeng(henp@igsnrr.ac.cn)
英文摘要The emerging concept of plant community traits offers a promising tool for explaining the variations in forest productivity. We measured the leaf thickness (LT), leaf area (LA), specific leaf area (SLA), and leaf dry matter content (LDMC) of 234 plant species from seven adjacent Korean pine and broad-leaved mixed forests in Northeast China, which varied in restoration time after selective logging (6, 14, 25, 36, 45, 55, and 100 years). Four leaf traits varied significantly at the species, plant functional group, and community scales. At the community level, LA, SLA, and LDMC followed a significant quadratic trend along the chronological sequence of restoration after selective logging, whereas LT showed no significant variation with time. Interestingly, plant community traits (LT, LA, and SLA) were significantly positively correlated with aboveground net primary productivity (ANPP). Furthermore, plant community traits, restoration time, species diversity, and soil nutrients could jointly explain 78% of the ANPP variation. These findings highlight that the variation in community traits of leaves may play an important role in determining the spatial variation of ANPP in temperate broadleaf-conifer mixed forests. These findings further demonstrate the close linkages between plant community traits and productivity and offer a theoretical basis for incorporating these community traits into future ecological models.
WOS关键词NET PRIMARY PRODUCTION ; COLD-TEMPERATE FORESTS ; TRADE-OFFS ; LEAF-AREA ; CLIMATE ; BIODIVERSITY ; DIVERSITY ; ASSOCIATION ; INCREASES ; PATTERNS
资助项目National Natural Science Foundation of China[31872683] ; National Natural Science Foundation of China[31800368] ; National Natural Science Foundation of China[31872690] ; National Science and Technology Basic Resource Survey Program of China[2019FY0101301] ; China Postdoctoral Science Foundation[2021M693147] ; China Postdoctoral Science Foundation[2020M680663]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000704602700004
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; National Science and Technology Basic Resource Survey Program of China ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/166973]  
专题中国科学院地理科学与资源研究所
通讯作者Hou, Jihua; He, Nianpeng
作者单位1.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
4.Northeast Normal Univ, Key Lab Vegetat Ecol, Minist Educ, Changchun, Peoples R China
推荐引用方式
GB/T 7714		 Li, Ying,Li, Qian,Xu, Li,et al. Plant community traits can explain variation in productivity of selective logging forests after different restoration times[J]. ECOLOGICAL INDICATORS,2021,131:8.
APA Li, Ying.,Li, Qian.,Xu, Li.,Li, Mingxu.,Chen, Zhi.,...&He, Nianpeng.(2021).Plant community traits can explain variation in productivity of selective logging forests after different restoration times.ECOLOGICAL INDICATORS,131,8.
MLA Li, Ying,et al."Plant community traits can explain variation in productivity of selective logging forests after different restoration times".ECOLOGICAL INDICATORS 131(2021):8.

入库方式： OAI收割

来源：地理科学与资源研究所

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