文献类型：期刊文献

中文题名：青藏高原东缘不同植被类型下草本植物叶片碳氮稳定同位素差异及其驱动因素

英文题名：Differences and drivers of leaf stable carbon and nitrogen isotope in herbs under different vegetation types on the eastern Qinghai-Tibet Plateau

作者：陈淼[1,2] 刘顺[1,2] 许格希[1,2] 陈健[1,2] 邢红爽[1,2] 李非凡[1,2] 张淼淼[1,2] 曹向文[1,2] 史作民[1,2,3]

第一作者：陈淼

机构：[1]中国林业科学研究院森林生态环境与自然保护研究所,国家林业和草原局森林生态环境重点实验室,北京100091;[2]四川米亚罗森林生态系统国家定位观测研究站,四川理县623100;[3]南京林业大学南方现代林业协同创新中心,南京210037

年份：2024

卷号：35

期号：4

起止页码：877-885

中文期刊名：应用生态学报

外文期刊名：Chinese Journal of Applied Ecology

收录：CSTPCD;;Scopus;北大核心:【北大核心2023】；CSCD:【CSCD2023_2024】；PubMed;

基金：中央级公益性科研院所基本科研业务费专项(CAFYBB2021ZA002-2,CAFYBB2022QC002,CAFYBB2022SY021);国家重点研发计划项目(2021YFD2200405)资助。

语种：中文

中文关键词：草本植物;碳稳定同位素;氮稳定同位素;叶片功能性状;气候因子

外文关键词：herbs;carbon stable isotope;nitrogen stable isotope;leaf functional trait;climatic factor

分类号：Q948

摘要：植物叶片碳氮稳定同位素自然丰度(δ^(13)C和δ^(15)N)可以提供植物生理生态过程的综合信息,已广泛应用于生态学研究。然而目前对叶片δ^(13)C和δ^(15)N的研究主要集中于木本植物,对不同植被类型下草本植物叶片δ^(13)C和δ^(15)N的研究相对较少,其碳氮稳定同位素差异和驱动因素尚不明确。本研究以青藏高原东缘亚高山针叶林、高山灌丛和高山草甸中草本植物叶片为对象,研究了不同植被类型下草本植物叶片δ^(13)C和δ^(15)N的差异及其驱动因素。结果表明:不同植被类型下草本植物叶片δ^(13)C和δ^(15)N值存在显著差异,高山草甸中草本植物叶片δ^(13)C和δ^(15)N值最高,高山灌丛次之,亚高山针叶林最低。方差分解发现,不同植被类型下草本植物叶片δ^(13)C和δ^(15)N的差异是由叶片功能性状和气候因子共同驱动的,其中叶片功能性状的相对贡献超过了气候因子。层次分割法分解广义混合效应模型发现,年均温度(MAT)、叶绿素指数、单位面积叶片氮含量(N_(area))和比叶重是不同植被类型下草本植物叶片δ^(13)C差异的主要驱动因素,而N_(area)和MAT对不同植被类型下草本植物叶片δ^(15)N变异的相对重要性远高于其他变量。此外,使用最小二乘回归分析发现,不同植被类型下草本植物叶片δ^(13)C与δ^(15)N之间存在强烈耦合关系。本研究结果为理解不同植被类型下草本植物叶片δ^(13)C和δ^(15)N差异的关键驱动因素提供了新的见解。
The natural abundance of stable carbon and nitrogen isotopes(δ^(13)C and δ^(15)N)in leaves can provide comprehensive information on the physiological and ecological processes of plants and has been widely used in ecological research.However,recent studies on leaf δ^(13)C and δ^(15)N have focused mainly on woody species,few studies have been conducted on herbs in different vegetation types,and their differences and driving factors are still unclear.In this study,we focused on the herbs in subalpine coniferous forests,alpine shrublands,and alpine meadows on the eastern Qinghai-Tibet Plateau,and investigated the differences in leaf δ^(13)C and δ^(15)N of herbs and the driving factors.The results showed that there were significant differences in leaf δ^(13)C and δ^(15)N values of herbs among diferent vegetation types,with the highest δ^(13)C and δ^(15)N values in alpine meadows,followed by alpine shrublands,and the lowest in subalpine coniferous forests.Using variation partitioning analysis,we revealed that differences in leaf δ^(13)C and δ^(15)N of herbs among various vegetation types were driven by both leaf functional traits and climate factors,with the contribution of leaf functional traits being relatively higher than that of climate factors.Hierarchical partitioning results indicated that mean annual temperature(MAT),chlorophyll content index,leaf nitrogen content per unit area(N_(area)),and leaf mass per area were the main drivers of leaf δ^(13)C variations of herbs across different vegetation types,while the relative importance of N_(area) and MAT for variation in leaf δ^(15)N of herbs was much higher than those other variables.There was a strong coupling relationship between leaf δ^(13)C and δ^(15)N as indicated by the result of the ordinary least squares regression.Our findings could provide new insights into understanding the key drivers of leaf δ^(13)C and δ^(15)N variations in herbs across different vegetation types.