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Journal of Applied Sciences and Environmental Management
World Bank assisted National Agricultural Research Project (NARP) - University of Port Harcourt
ISSN: 1119-8362
Vol. 22, No. 11, 2018, pp. 1781-1790
Bioline Code: ja18299
Full paper language: English
Document type: Research Article
Document available free of charge

Journal of Applied Sciences and Environmental Management, Vol. 22, No. 11, 2018, pp. 1781-1790

 en Relationship between Space-Based Vegetation Productivity Index and Radial Growth of Main Tree Species in the Dry Afromontane Forest Remnants of Northern Ethiopia
SIYUM, ZG; AYOADE, JO; ONILUDE, MA & FEYISSA, MT

Abstract

Investigating the relations between Normalized Difference Vegetation Index (NDVI) and tree growth is vital for quantifying ecosystem primary productivity over large spatial and long temporal scales. In this study, the relationships between forest growth (tree-ring width indices) and space-based measurement of vegetation activity (NDVI) were examined in the dry Afromontane forest remnants of northern Ethiopia. The results showed that radial growth of the main tree species ( Juniperus procera check for this species in other resources , Olea europaea check for this species in other resources and Podocarpus falcatus check for this species in other resources ) is positively correlated with inter-annual NDVI values. Moreover, the relationships between ring width – rainfall and rainfall – NDVI were positive and significant (p<0.05), suggesting that rainfall seasonality is an overriding growth-limiting factor in the study region. Rainfall during the wet-season largely controls cambial activities and phenological processes of the founding tree species, and hence affects overall vegetation dynamics in the region. Overall, the study showed the coupling of tree-ring growth and NDVI values with potential implications for understanding forest growth dynamics. Thus, it gives insights to the applicability of NDVI – tree-rings integration approach to predict landscape-level patterns of vegetation productivity.

Keywords
Dry Afromontane Forest; Remote-sensing; Tree-rings

 
© Copyright 2018 - Siyum et al.

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