Long-term dynamics of woodland vegetation with response of climate variability in the lowlands of north western part of Ethiopia

Tadesse Mucheye (), Mekuanent Tebkew, Yohannis G/Mariam and Amsalu Abich
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Tadesse Mucheye: University of Gondar
Mekuanent Tebkew: University of Gondar
Yohannis G/Mariam: University of Gondar
Amsalu Abich: University of Gondar

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 1, No 6, 123-132

Abstract: Abstract Vegetation is one of the main earth’s surface resources. It serves as a bridge among some earth’s components like soil, atmosphere and water cycle. It is the most sensitive indicator of seasonal change and environmental degradation. Analysis of terrestrial vegetation dynamics allows a better understanding of climate effects on terrestrial ecosystems. Vegetation growth is influenced by the climate conditions. But, there is a debate whether woodland vegetation decreases or increases in the study area. The area was selected purposely where vegetation is sensitive too much to precipitation (RF) and relative humidity (RH). LANDSAT image has been selected from United State Geological Survey website. Starting 1984–2014 period collection of LANDSAT image with TM, ETM scanner has designed for normalized difference vegetation index (NDVI) analysis. Meteorological data were collected from Ethiopian Methodological Agency. The maximum value of NDVI was computed using ERDAS 2010 and ArcGIS10.2 software. It was analyzed with meteorological data by multiple regression analysis approach using R-statistical package. Statistical analysis result showed that woodland vegetation NDVI value and RH had positive correlation with precipitation while temperature was negative. It indicated that precipitation and woodland vegetation have strong relationship. Precipitation was significant key factor for woodland vegetation. The value of R2 = 0.71 and P

Keywords: Climate variability; NDVI; Rainfall; Dry land; Dynamics (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-019-00569-0

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