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Relationships between NDVI and climatic factors in mountain ecosystems: A case study of Armenia
- Source :
- Remote Sensing Applications: Society and Environment. 14:158-169
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- In this paper, we study vegetation, temperature, and precipitation dynamics, as well as their correlations and lag-time effects in mountain ecosystems of Armenia using SPOT/VGT NDVI data over the period 1998–2013. Three study sites near the Sisian, Megri and Kajaran meteorological stations were chosen, representing steep, xerophytic and meadow vegetation types, respectively. The results showed a significant increase in NDVI across the growing season during the study period. Meanwhile, a significant increase in mean precipitation and temperature during the growing season was detected for the Kajaran station. A negative correlation was observed between temperature and xerophytic/steep vegetation NDVI and positive correlation between temperature and meadow vegetation NDVI, while correlations between precipitation and NDVI for all vegetation types were positive. Moreover, the response of vegetation to climatic factors exhibited a time-lag effect. In general, the temperature and precipitation in the 2nd and 3rd 10-day intervals of April have a strong impact on the vegetation growth in summer. This study suggests that for a better understanding of the impact and lag-time effect of climatic factors on mountain vegetation growth it is preferable to use 10-day data.
- Subjects :
- 010504 meteorology & atmospheric sciences
Geography, Planning and Development
Growing season
010501 environmental sciences
Positive correlation
01 natural sciences
Normalized Difference Vegetation Index
Period (geology)
medicine
Environmental science
Ecosystem
Precipitation
Physical geography
Computers in Earth Sciences
medicine.symptom
Negative correlation
Vegetation (pathology)
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 23529385
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Remote Sensing Applications: Society and Environment
- Accession number :
- edsair.doi...........e116bd9dbe01a40315dd90bedf79ef24