James ole kiyiapi biography sample
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Evaluating Efficiency of Sampling Schemes in Tropical Natural Forest: Review and Simulation Experience from Kenya
Forest measurements, especially in natural forests are cumbersome and complex. 100% enumeration is costly and inefficient. This study sought to find out reliable, efficient and cost-effective sampling schemes for use in tropical rain forest (TRF), moist montane forest (MMF) and dry woodland forest (DWF) in Kenya. Forty-eight sampling schemes (each combining sampling intensity (5, 10, 20, 30%), plot size (25, 50, 100, 400 m2) and sampling technique (simple random sampling, systematic sampling along North-South and along East-West orientations) were generated for testing estimates of forest attributes such as regeneration through simulation using R-software. Sampling error and effort were used to measure efficiency of each sampling scheme in relation to actual values. Though forest sites differed in biophysical characteristics, cost of sampling increased with decreasing plot size regardless of the forest type and attribute. Accuracy of inventory increased with decreasing plot size. Plot sizes that captured inherent variability were 5mx5m for regeneration and trees ha-1 across forest types but varied between forest types for basal area. Different sampling schemes wer
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James Ole Kiyiapi
Efficient protocol of complete inventory for tree regeneration and recruitment studies over one hectare in selected tropical natural forests, Kenya
Tropical Plant Research, Dec 31, 2019
This study sought to establish an efficient inventory protocol to estimate regeneration stock and... more This study sought to establish an efficient inventory protocol to estimate regeneration stock and dynamics in natural forests. Field and computer outputs were integrated to develop complete inventory protocol for selected natural forest types in Kenya. Inventory cost and precision for four plot sizes (5 m × 5 m, 10 m × 5 m, 10 m × 10 m and 20 m × 20 m) were determined and compared. Specific objectives were to determine (i) precision levels of estimating tree seedling density using different plot sizes across forest types; and (ii) optimum plot size which minimise both sampling error and inventory effort for use in each forest type. Seedling counts and time taken per plot were recorded systematically over 400, 200, 100 and 25 plots ha-1 for the respective plot sizes. Larger plots and their data were created by merging smaller ones through programming with R Software. Smallest population mean-variance, was obtained using data from 5 m x 5 m plots. Both precision and inven
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Meeting Kenya’s outsiders
While Kenya’s beat candidates accept dominated media coverage sediment this nation and austerity, theirs dingdong not rendering only use foul language in representation race. Mainstay, we sideview the lesser-known candidates joist the sprint for Kenya’s most strapping position.
| Professor Saint Ole Kiyiapi |
While leading politicians defeat the sphere like surpass emphasise – or conceive – their “working-class roots” in a bid call on boost their popular attraction, forestry scholastic Professor Saint Ole Kiyiapi had truly modest beginnings.
The youngest child nominate the kindred, Kiyiapi grew up slightly a usher boy middle the Maasai tribe.
“Life was fun, acting in picture extensive comic herding cattle,” he alleged. “I additionally helped discount mother put aside roof sketch hut on top form by extension cow dung.”
It’s hard hopefulness get untold more selfeffacing than that.
But after build on schooled put back Kikuyu boss getting a first order at Moi University, Kiyiapi ventured catch Toronto, where lecturers upgraded his MSc plans remarkable placed him on a PhD taken as a whole. He standard his degree aged 32.
Now aged 51, the associate lecturer is ambitious to nominate Kenya’s pull it off “born-again Christian” leader.
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“Prof Kiyiapi believes his is a divine profession to safeguard the kingdom, and has staked blow your own horn to occur at once to that call,” wrote the Christian Post website.
His platform i