The Response Characteristics of Xilingol Grassland to Uneven Distribution of Precipitation at Temporal and Spatial Scale

DOI

10.2991/jrarc.2016.6.4.5How to use a DOI?

Keywords

Precipitation, NDVI, Spatial and temporal distribution, Correlation.

Abstract

Precipitation is the most important source of water supply, which has important significance on the vegetation growth, also is an important factor affecting the drought severity in Xilingol grassland. Based on the precipitation of 15 weather stations and MODIS MOD13A3 NDVI data, Pearson correlation analysis was used to analysis the response characteristics of NDVI to precipitation at spatial and temporal scale. Results showed that from one month view, vegetation growth was the highest correlation with the precipitation of this month from May to July, but August and September were the highest correlation with the precipitation in July. Accumulated month view, the accumulated precipitation in the last three months was very important to the vegetation growth, and snowfall in the winter of previous year played an important role in May of next year. Spatially, from one month view, Erenhot and Sonid Youqi (desert steppe region) were the highest correlation with the precipitation in two months before, the others were the highest correlation with the precipitation in one month before. Accumulated month view, Erenhot and Sonid Youqi were the highest correlation with the accumulated precipitation in the last four months, the others were the highest correlation with the accumulated precipitation in the last three months.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Qiaofeng Zhang
AU  - Hongbo Yu
AU  - Guixiang Liu
AU  - Yuhai Bao
PY  - 2016
DA  - 2016/12/30
TI  - The Response Characteristics of Xilingol Grassland to Uneven Distribution of Precipitation at Temporal and Spatial Scale
JO  - Journal of Risk Analysis and Crisis Response
SP  - 206
EP  - 212
VL  - 6
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2016.6.4.5
DO  - 10.2991/jrarc.2016.6.4.5
ID  - Zhang2016
ER  -