Assessing performance of leaf area index in a monitored mountain ecosystem on Mount Elgon-Uganda

Tonny Oyana, Ellen Kayendeke, Samuel Adu-Prah

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study investigated the performance of leaf area index (LAI) and photosynthetically active radiation (PAR) in a mountain ecosystem. The authors hypothesized that significant spatial and temporal differences exist in LAI and PAR values in the Manafwa catchment on Mt. Elgon. This was accomplished through field measurements of actual LAI and PAR values of diverse vegetation types along a ∼900m altitudinal gradient (1141-2029 masl) in the catchment. In-situ measurements were obtained from 841 micro-scale study plots in 28 sampling plots using high resolution LAI sensors. The findings showed a significant positive relationship exists between elevation and observed LAI (r = 0.45, p = 0.01). A regression model further shows that elevation and curvature of the landscape slope were highly significant (p < 0.00002) predictors of LAI. Finally, the authors detected significant spatial and temporal differences in LAI and PAR values in the study area. The study provides a critical basis for setting up long-term monitoring plans to understand mountain ecosystems and global climate change.

Original languageEnglish (US)
Pages (from-to)64-80
Number of pages17
JournalInternational Journal of Applied Geospatial Research
Volume8
Issue number1
DOIs
StatePublished - Jan 1 2017

Fingerprint

Uganda
leaf area index
photosynthetically active radiation
performance
catchment
Values
mountain ecosystem
in situ measurement
vegetation type
curvature
global climate
climate change
monitoring
sensor
regression
sampling

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Earth and Planetary Sciences (miscellaneous)

Cite this

Assessing performance of leaf area index in a monitored mountain ecosystem on Mount Elgon-Uganda. / Oyana, Tonny; Kayendeke, Ellen; Adu-Prah, Samuel.

In: International Journal of Applied Geospatial Research, Vol. 8, No. 1, 01.01.2017, p. 64-80.

Research output: Contribution to journalArticle

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