Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data
Supplementary data: The relationship between monthly vegetation cover anomalies and climate in the Hulunbei'er steppe were studied through analyzing the relationship between regional normalized difference vegetation index (NDVI) and climatic variables, and NDVI and tree-ring width during the gr...
Main Authors: | , , , , , , , |
---|---|
Format: | Other/Unknown Material |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://doi.org/10.7916/D82F7MR3 |
id |
ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D82F7MR3 |
---|---|
record_format |
openpolar |
spelling |
ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D82F7MR3 2023-05-15T15:06:21+02:00 Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data Chen, Zhenju Li, Jingbo Fang, Keyan Davi, Nicole K. He, Xingyuan Cui, Mingxing Zhang, Xianliang Peng, Junjie 2012 https://doi.org/10.7916/D82F7MR3 English eng https://doi.org/10.7916/D82F7MR3 Environmental sciences Data (information) 2012 ftcolumbiauniv https://doi.org/10.7916/D82F7MR3 2019-04-04T08:08:11Z Supplementary data: The relationship between monthly vegetation cover anomalies and climate in the Hulunbei'er steppe were studied through analyzing the relationship between regional normalized difference vegetation index (NDVI) and climatic variables, and NDVI and tree-ring width during the growing season (May–October). The local moisture (dry/wet) and temperature (cold/warm) variations largely affected the vegetation cover and the radial growth of Mongolian pines (Pinus sylvestiris Linnaeus var. mongolica Litvinov) in the steppe. Monthly precipitation and Palmer drought severity index (PDSI) data from the previous to the current growing seasons were positively correlated to regional vegetation cover and radial growth of Mongolian pines; however, negative correlations were found between temperature and vegetation variables. A reconstruction of monthly vegetation cover dynamics for the growing season was created and spans 116 years (from 1891 to 2006). The results show that the total numbers of anomalies for dense and sparse seasonal vegetation cover is 22 years over the 116 year record; about 5–7 relatively dense or sparse periods; and ∼2–8 years significant periodicities (p > 0.05). Linkages to the Pacific Ocean and Arctic Ocean regimes were also detected. Other/Unknown Material Arctic Arctic Ocean Columbia University: Academic Commons Arctic Arctic Ocean Pacific |
institution |
Open Polar |
collection |
Columbia University: Academic Commons |
op_collection_id |
ftcolumbiauniv |
language |
English |
topic |
Environmental sciences |
spellingShingle |
Environmental sciences Chen, Zhenju Li, Jingbo Fang, Keyan Davi, Nicole K. He, Xingyuan Cui, Mingxing Zhang, Xianliang Peng, Junjie Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
topic_facet |
Environmental sciences |
description |
Supplementary data: The relationship between monthly vegetation cover anomalies and climate in the Hulunbei'er steppe were studied through analyzing the relationship between regional normalized difference vegetation index (NDVI) and climatic variables, and NDVI and tree-ring width during the growing season (May–October). The local moisture (dry/wet) and temperature (cold/warm) variations largely affected the vegetation cover and the radial growth of Mongolian pines (Pinus sylvestiris Linnaeus var. mongolica Litvinov) in the steppe. Monthly precipitation and Palmer drought severity index (PDSI) data from the previous to the current growing seasons were positively correlated to regional vegetation cover and radial growth of Mongolian pines; however, negative correlations were found between temperature and vegetation variables. A reconstruction of monthly vegetation cover dynamics for the growing season was created and spans 116 years (from 1891 to 2006). The results show that the total numbers of anomalies for dense and sparse seasonal vegetation cover is 22 years over the 116 year record; about 5–7 relatively dense or sparse periods; and ∼2–8 years significant periodicities (p > 0.05). Linkages to the Pacific Ocean and Arctic Ocean regimes were also detected. |
format |
Other/Unknown Material |
author |
Chen, Zhenju Li, Jingbo Fang, Keyan Davi, Nicole K. He, Xingyuan Cui, Mingxing Zhang, Xianliang Peng, Junjie |
author_facet |
Chen, Zhenju Li, Jingbo Fang, Keyan Davi, Nicole K. He, Xingyuan Cui, Mingxing Zhang, Xianliang Peng, Junjie |
author_sort |
Chen, Zhenju |
title |
Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
title_short |
Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
title_full |
Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
title_fullStr |
Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
title_full_unstemmed |
Seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in Hulunbei'er steppe, northern China: Supplementary data |
title_sort |
seasonal dynamics of vegetation over the past 100 years inferred from tree rings and climate in hulunbei'er steppe, northern china: supplementary data |
publishDate |
2012 |
url |
https://doi.org/10.7916/D82F7MR3 |
geographic |
Arctic Arctic Ocean Pacific |
geographic_facet |
Arctic Arctic Ocean Pacific |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_relation |
https://doi.org/10.7916/D82F7MR3 |
op_doi |
https://doi.org/10.7916/D82F7MR3 |
_version_ |
1766337980553756672 |