Journal
JOURNAL OF ARID ENVIRONMENTS
Volume 83, Issue -, Pages 86-93Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jaridenv.2012.03.013
Keywords
NDVI; Moisture variability; Mongolian pine; Reconstruction; Semi-arid grassland; Tree-ring width
Categories
Funding
- National Natural Science Foundation of China [41071035, 31100327, 30600093, 31000222, 31000225, 90411019]
- China Special Research Program for Public-Welfare Forestry [200804001]
- Div Atmospheric & Geospace Sciences
- Directorate For Geosciences [1137729] Funding Source: National Science Foundation
Ask authors/readers for more resources
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 similar to 2-8 years significant periodicities (p < 0.05). Linkages to the Pacific Ocean and Arctic Ocean regimes were also detected. (C) 2012 Published by Elsevier Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available