ITPCAS OpenIR  > 图书馆
Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation
Cao, RY (Cao, Ruyin)1; Shen, MG (Shen, Miaogen)2,3; Zhou, J (Zhou, Ji)1; Chen, J (Chen, Jin)4
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
2018-02-15
Volume249Issue:0Pages:176-186
DOI10.1016/j.agrformet.2017.11.032
Abstract

Shifts in vegetation phenology induced by climate change are substantially modifying various ecosystem processes, and those changes can in turn affect weather and climate systems. Realistic modeling of spring vegetation green-up is critical to improving process-based ecosystem models of the Tibetan Plateau (TP) and for better understanding of the coupling between TP terrestrial biophysical processes and the Asian monsoon system. However, no model is available for simulating the vegetation green-up date (VGD) across the entire TP. In this study, we first assessed the ability of several existing state-of-the-art phenological models to estimate VGD across the TP. We then modified the existing models by adding environmental constraints identified by partial least squares analyses. The modified models simulated VGDs with lower estimation errors than other models (Mean absolute error: 8.2 days vs. 8.7-12.9 days; P < 0.01, t-test). Moreover, although our model captured the inter annual variations in VGD better than any previous model, the correlation coefficient between predicted and remotely sensed VGDs was still low, especially in the western TP. This study revealed the necessity of considering multiple factors in VGD models and highlighted the challenge of developing models that will better represent phenology in future ecosystem models.

Subject Area生态学
WOS IDWOS:000424180100015
Language英语
Indexed BySCIE
KeywordLand-surface Phenology Recent Climate-change Spring Phenology Modis Responses Trees Forest Patterns Budburst Snowfall
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
Cooperation Status国内
ISSN0168-1923
Department高寒生态重点实验室
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8724
Collection图书馆
Corresponding AuthorCao, RY (Cao, Ruyin); Shen, MG (Shen, Miaogen)
Affiliation1.Univ Elect Sci & Technol China, Sch Resources & Environm, 2006 Xiyuan Ave, Chengdu 611731, Sichuan, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, 16 Lincui Rd, Beijing 100101, Peoples R China;
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, 16 Lincui Rd, Beijing 100101, Peoples R China;
4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
Recommended Citation
GB/T 7714
Cao, RY ,Shen, MG ,Zhou, J ,et al. Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation[J]. AGRICULTURAL AND FOREST METEOROLOGY,2018,249(0):176-186.
APA Cao, RY ,Shen, MG ,Zhou, J ,&Chen, J .(2018).Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation.AGRICULTURAL AND FOREST METEOROLOGY,249(0),176-186.
MLA Cao, RY ,et al."Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation".AGRICULTURAL AND FOREST METEOROLOGY 249.0(2018):176-186.
Files in This Item:
File Name/Size DocType Version Access License
2018265.pdf(1730KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cao, RY (Cao, Ruyin)]'s Articles
[Shen, MG (Shen, Miaogen)]'s Articles
[Zhou, J (Zhou, Ji)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cao, RY (Cao, Ruyin)]'s Articles
[Shen, MG (Shen, Miaogen)]'s Articles
[Zhou, J (Zhou, Ji)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cao, RY (Cao, Ruyin)]'s Articles
[Shen, MG (Shen, Miaogen)]'s Articles
[Zhou, J (Zhou, Ji)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2018265.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.