Response of abundance distribution of five species of Quercus to climate change in northern ChinaChinese Full TextEnglish Full Text (MT)
ZHANG Xue-Jiao;GAO Xian-Ming;JI Cheng-Jun;KANG Mu-Yi;WANG Ren-Qing;YUE Ming;ZHANG Feng;TANG Zhi-Yao;Institute of Ecology, College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes of the Ministry of Education, Peking University;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University;College of Resources Science &Technology, Faculty of Geographical Science, Beijing Normal University;School of Life Sciences, Shandong University;Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University;and 7Institute of Loess Plateau, Shanxi University;
Abstract: Aims To develop a statistically appropriate species distribution model for the abundance of five species from Quercus in the northern China, and to predict the change of abundance under climate change. Methods We surveyed abundance data of five Quercus species from 1 045 plots in the northern China, and then fit the abundance with climatic variables using random forest model(RF). We then predict the abundance of these five Quercus species in 2050 and 2070 under Representation Concentration Pathw... More
Keywords:
generalized linear model; generalized additive model; random forest model; species distribution model;
- Series:
(A) Mathematics/ Physics/ Mechanics/ Astronomy; (D) Agriculture
- Subject:
Forestry
- Classification Code:
S718.5
- Mobile Reading
Read on your phone instantly
Step 1
Scan QR Codes
"Mobile CNKI-CNKI Express" App
Step 2
Open“CNKI Express”
and click the scan icon in the upper left corner of the homepage.
Step 3
Scan QR Codes
Read this article on your phone.
- Download
- Online Reading
- BETABETAEnglish HTML (MT)
- AI Summary

Download the mobile appuse the app to scan this coderead the article.
Tips: Please download CAJViewer to view CAJ format full text.
Download: 871 Page: 774-782 Pagecount: 9 Size: 13413K
Citation Network
Node Literature
Co-citing Literature(9798)
Co-cited Literature(102)
Sub-reference(78)
Reference(32)
Cited Literature(18)
Related Literature
- Similar Article
- Reader Recommendation
- Associated Author
- [1]木林子天然次生林典型群落物种多度分布格局的尺度效应[J]. 陈俊,艾训儒,姚兰,陈思艺. 湖北民族学院学报(自然科学版). 2018(02)
- [2]长白山阔叶红松林乔木幼苗组成及多度格局的影响因素[J]. 邱华,舒皓,吴兆飞,李明鲁,殷正,张春雨,赵秀海. 生态学报. 2020(06)
- [3]南亚热带森林群落种-多度的对数正态分布模型研究[J]. 殷祚云,廖文波. 广西植物. 1999(03)
- [4]吉林蛟河阔叶红松林物种多度分布模型研究[J]. 李超凡,范春雨,张春雨,赵秀海. 生态学报. 2021(23)
- [5]长白山北坡云冷杉阔叶混交林的物种多度格局[J]. 郭跃东,张会儒,卢军,王卓晖. 林业科学. 2021(05)
- [6]浙江龙王山森林群落物种多度分布特征及其与海拔的关系[J]. 刘金亮,刘维勇,金姗姗,杨中杰,鲁益飞,张爱英,于明坚. 广西植物. 2024(05)
- [7]组分多度的相似相异百分率[J]. 司马永康,吴新盛,李克明. 云南林业科技. 2000(02)
- [8]珍稀植物南方红豆杉群落物种-多度关系[J]. 张尚炬,范海兰,洪滔,宋萍,洪伟,吴承祯. 东北林业大学学报. 2007(09)
- [9]鄂西南亚热带山地常绿落叶阔叶混交林物种多度分布格局[J]. 朱强,艾训儒,姚兰,朱江,彭宗林. 西北植物学报. 2020(06)
- [10]陈和洞自然保护区常绿阔叶林物种多度分布格局[J]. 解丹丹,张苏峻,苏志尧,李意德. 华南农业大学学报. 2010(04)