中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of vegetation dynamics and climatic variability impacts on greenness across Canada using remotely sensed data from 2000 to 2009

文献类型:期刊论文

作者Fang, Xiuqin1,2; Zhu, Qiuan3; Chen, Huai3; Ma, Zhihai2; Wang, Weifeng2,4; Song, Xinzhang2,5; Zhao, Pengxiang3; Peng, Changhui2,3
刊名JOURNAL OF APPLIED REMOTE SENSING
出版日期2014-03-17
卷号8页码:083666(1-14)
关键词climate-induced drought water stress temperature precipitation growing season moderate-resolution imaging spectroradiometer normalized difference vegetation index
ISSN号1931-3195
DOI10.1117/1.JRS.8.083666
文献子类Article
英文摘要Using time series of moderate-resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data from 2000 to 2009, we assessed decadal vegetation dynamics across Canada and examined the relationship between NDVI and climatic variables (precipitation and temperature). The Palmer drought severity index and vapor pressure difference (VPD) were used to relate the vegetation changes to the climate, especially in cases of drought. Results indicated that MODIS NDVI measurements provided a dynamic picture of interannual variation in Canadian vegetation patterns. Greenness declined in 2000, 2002, and 2009 and increased in 2005, 2006, and 2008. Vegetation dynamics varied across regions during the period. Most forest land shows little change, while vegetation in the ecozone of Pacific Maritime, Prairies, and Taiga Shield shows more dynamics than in the others. Significant correlations were found between NDVI and the climatic variables. The variation of NDVI resulting from climatic variability was more highly correlated to temperature than to precipitation in most ecozones. Vegetation grows better with higher precipitation and temperature in almost all ecozones. However, vegetation grows worse under higher temperature in the Prairies ecozone. The annual changes in NDVI corresponded well with the change in VPD in most ecozones. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
学科主题Environment ; Ecology
URL标识查看原文
WOS关键词PINE-BEETLE INFESTATION ; RESOLUTION SATELLITE IMAGERY ; DELAYED SPRING PHENOLOGY ; RED-ATTACK DAMAGE ; NDVI TIME-SERIES ; ATMOSPHERIC CIRCULATION ; TIBETAN PLATEAU ; NORTH-AMERICA ; SCOTS PINE ; MODIS
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000333562200004
出版者SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
源URL[http://210.75.237.14/handle/351003/29826]  
专题本单位人员在外单位产出
成都生物研究所_生态研究
通讯作者Peng, Changhui
作者单位1.Hohai University, School of Earth Sciences and Engineering, Nanjing 210098, China;
2.University of Quebec at Montreal, Institute of Environment Sciences, Department of Biology Sciences, Montreal, QC, H3C 3P8 Canada;
3.Northwest Agriculture and Forest University, College of Forestry, Laboratory for Ecological Forecasting and Global Change, Yanglin 712100, China
4.McGill University, Department of Geography, 805 Sherbrooke Street W.,Montreal, QC, H3A 0B9 Canada;
5.Zhejiang Agriculture and Forestry University, State Key Laboratory of Subtropical Forest Science and Zhejiang Provincial Key Laboratory of Carbon Cycling and Carbon Sequestration in Forest Ecosystems, Lin’an 311300, China
推荐引用方式
GB/T 7714
Fang, Xiuqin,Zhu, Qiuan,Chen, Huai,et al. Analysis of vegetation dynamics and climatic variability impacts on greenness across Canada using remotely sensed data from 2000 to 2009[J]. JOURNAL OF APPLIED REMOTE SENSING,2014,8:083666(1-14).
APA Fang, Xiuqin.,Zhu, Qiuan.,Chen, Huai.,Ma, Zhihai.,Wang, Weifeng.,...&Peng, Changhui.(2014).Analysis of vegetation dynamics and climatic variability impacts on greenness across Canada using remotely sensed data from 2000 to 2009.JOURNAL OF APPLIED REMOTE SENSING,8,083666(1-14).
MLA Fang, Xiuqin,et al."Analysis of vegetation dynamics and climatic variability impacts on greenness across Canada using remotely sensed data from 2000 to 2009".JOURNAL OF APPLIED REMOTE SENSING 8(2014):083666(1-14).

入库方式: OAI收割

来源:成都生物研究所

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