文献类型：期刊文献

中文题名：降雨格局对高寒沙地中间锦鸡儿幼苗生长的影响

英文题名：Effects of precipitation patterns on the growth of Caragana intermedia seedlings in alpine sandy land

作者：李清雪[1,2] 贾志清[1,2,3] 何凌仙子[1,2] 高娅[3] 杨恒华[2]

第一作者：李清雪

机构：[1]中国林业科学研究院生态保护与修复研究所,北京100091;[2]青海共和荒漠生态系统定位观测研究站,共和813005;[3]中国林业科学研究院林业研究所,北京100091

年份：2022

卷号：36

期号：4

起止页码：120-125

中文期刊名：干旱区资源与环境

外文期刊名：Journal of Arid Land Resources and Environment

收录：北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；CSSCI:【CSSCI2021_2022】；

基金：中央级公益性科研院所基本科研业务费专项资金(CAFYBB2019MA008);国家重点研发计划专题(2020YFF0305905-05);中国林业科学研究院林业研究所林木培育重点实验室专项资金(ZDRIF201903)资助。

语种：中文

中文关键词：降雨频次;降雨梯度;中间锦鸡儿;幼苗;高寒沙地

外文关键词：precipitation frequency;precipitation gradient;Caragana intermedia;seedling;alpine sandy land

分类号：P426;Q948

摘要：以青海共和盆地高寒沙区典型固沙植物中间锦鸡儿(Caragana intermedia)为研究对象,采用人工模拟降雨的方法分析不同降雨频次和降雨梯度对中间锦鸡儿幼苗形态特征、生物量及根系特征的影响。结果表明:1次降雨频次下80%M(M为2009-2018年生长季平均月降雨量)降雨梯度幼苗的大部分参数、M和60%M降雨梯度幼苗的部分参数显著高于2、3次降雨频次;3次降雨频次下40%M降雨梯度幼苗的大部分参数显著高于1、2次降雨频次。月降雨频次为1次时,80%M降雨梯度下幼苗各参数整体水平最好,其次是120%M降雨梯度;月降雨频次为3次时,120%M和40%M降雨梯度下幼苗各参数整体水平较好。降雨格局与幼苗各参数的RDA分析表明,幼苗的大部分参数与降雨梯度正相关,与降雨频次负相关。
In this study,Caragana intermedia,the main species for vegetation restoration in the alpine sandy land of the Gonghe Basin,Qinghai province,was used as the research object,and the artificial precipitation method was used to analyze the effects of different precipitation frequencies and precipitation gradients on the morphological characteristics,biomass and root characteristics of seedlings.The results showed that most of the parameters of 80%M(M is the average monthly precipitation in the growing season from 2009 to 2018)precipitation gradient,some parameters of M and 60%M precipitation gradient under the monthly precipitation frequency was 1 time were higher than those of 2 and 3 times;Most of the parameters of 40%M precipitation gradient under the monthly precipitation frequency was 3 times were higher than those of 1 and 2 times.When the monthly precipitation frequency was 1 time,most of the parameters under 80%M precipitation gradient were the best,followed by the 120%M precipitation gradient.When monthly precipitation frequency was 3 times,most of the parameters under 120%M and 40%M precipitation gradient were better.The RDA analysis of precipitation patterns and seedling parameters showed that most of the seedling parameters showed a positive correlation with precipitation gradient and a negative correlation with precipitation frequency.