Paper Info
Title
Detecting responses of masson pine to acid rain based on different soil conditions
Abstract
To detect responses of masson pine to the acid rain based on different soil conditions, monthly average pH and NDVI were obtained from precipitation acidity and GIMMS/NDVI data from 1992 to 2006 in China based on both acidity levels and soil critical load of acid deposition, then used to analyze inter-annual variation by the improved sinusoidal fitting and linear regression analysis. Our results showed that at severe and slight acidity level, the moderate soil condition was most beneficial to the growth of masson pine, followed by the well soil condition. At moderate acidity level, the worse soil condition was more unfavorable to the growth of masson pine. The multi-year monthly average NDVI showed neither significant difference between poor and moderate soil condition nor between moderate and well soil condition, while the significant difference of the NDVI value between poor and well soil condition in the whole year except in summer.
Year
DOI
Venue
2013
10.1109/Geoinformatics.2013.6626025
Geoinformatics
Keywords
Field
DocType
linear regression analysis,soil critical load,masson pine,soil critical load of acid deposition,monthly average ph,ndvi,air pollution,china,acid rain,soil conditions,ad 1992 to 2006,gimms-ndvi data,atmospheric precipitation,acid deposition,ph,multiyear monthly average ndvi,acidity levels,soil pollution,soil,vegetation,precipitation acidity,ecosystems,remote sensing,stress,market research
Acid rain,Soil science,Vegetation,Computer science,Remote sensing,Normalized Difference Vegetation Index,Animal science,Soil contamination,Precipitation,Linear regression
Conference
Volume
Issue
ISSN
null
null
2161-024X
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Jiaxin Jin103.38
Hong Jiang289.37
Xiuying Zhang326.19
Pengwei Xu400.34
Liya Fan511713.14
Ying Wang602.37