Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest

Spatial variations of forest floor thickness in tropical montane forest influences carbon stocks estimates in forest floor and soil, microbial decomposition and soil conservation. Delineation of forest floor thickness according to decomposing layers (litter, hemic, sapric) and total forest floor wil...

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Main Authors: Vijayanathan, Jeyanny, Balasundram, Siva Kumar, Mohd Hanif, Ahmad Husni, Wan Abdul Kadir, Wan Rasidah
Format: Article
Language:English
Published: Forest Research Institute Malaysia 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53861/
http://psasir.upm.edu.my/id/eprint/53861/1/Spatial%20variability%20of%20forest%20floor%20thickness%20for%20estimation%20of%20refined%20carbon%20stocks%20in%20a%20tropical%20montane%20forest.pdf
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author Vijayanathan, Jeyanny
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
Wan Abdul Kadir, Wan Rasidah
author_facet Vijayanathan, Jeyanny
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
Wan Abdul Kadir, Wan Rasidah
author_sort Vijayanathan, Jeyanny
building UPM Institutional Repository
collection Online Access
description Spatial variations of forest floor thickness in tropical montane forest influences carbon stocks estimates in forest floor and soil, microbial decomposition and soil conservation. Delineation of forest floor thickness according to decomposing layers (litter, hemic, sapric) and total forest floor will provide refined measurements of forest floor carbon stocks to improve site-specific carbon management. This study was aimed at determining spatial variability of the depths of decomposing forest floor layers in a tropical montane forest at varying topography. Sampling grids (10 m × 10 m) were established along three slope positions (summit, sideslope and toeslope) with 120 quadrants and their depths measured. Forest floor samples were georeferenced using a global positioning system. Variables were first explored using univariate statistics, including normality check, non-spatial outlier detection and data transformation. Variography and kriging analyses were used to quantify spatial variability of forest floor depths. Results showed that spatial structure of test variables differed across topographic positions. The coefficient of variation for test variables ranged from 27 to 64%. Surface maps displayed distinct spatial clustering and acceptable accuracy of interpolated values. Hemic and total forest floor were highest at the toeslope where hemic constituted approximately 80% of total forest floor. Site-specific management of forest floor carbon stocks in tropical montane forest should be based on topographic delineation.
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institution Universiti Putra Malaysia
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spelling upm-538612018-02-15T01:12:32Z http://psasir.upm.edu.my/id/eprint/53861/ Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest Vijayanathan, Jeyanny Balasundram, Siva Kumar Mohd Hanif, Ahmad Husni Wan Abdul Kadir, Wan Rasidah Spatial variations of forest floor thickness in tropical montane forest influences carbon stocks estimates in forest floor and soil, microbial decomposition and soil conservation. Delineation of forest floor thickness according to decomposing layers (litter, hemic, sapric) and total forest floor will provide refined measurements of forest floor carbon stocks to improve site-specific carbon management. This study was aimed at determining spatial variability of the depths of decomposing forest floor layers in a tropical montane forest at varying topography. Sampling grids (10 m × 10 m) were established along three slope positions (summit, sideslope and toeslope) with 120 quadrants and their depths measured. Forest floor samples were georeferenced using a global positioning system. Variables were first explored using univariate statistics, including normality check, non-spatial outlier detection and data transformation. Variography and kriging analyses were used to quantify spatial variability of forest floor depths. Results showed that spatial structure of test variables differed across topographic positions. The coefficient of variation for test variables ranged from 27 to 64%. Surface maps displayed distinct spatial clustering and acceptable accuracy of interpolated values. Hemic and total forest floor were highest at the toeslope where hemic constituted approximately 80% of total forest floor. Site-specific management of forest floor carbon stocks in tropical montane forest should be based on topographic delineation. Forest Research Institute Malaysia 2016-07 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53861/1/Spatial%20variability%20of%20forest%20floor%20thickness%20for%20estimation%20of%20refined%20carbon%20stocks%20in%20a%20tropical%20montane%20forest.pdf Vijayanathan, Jeyanny and Balasundram, Siva Kumar and Mohd Hanif, Ahmad Husni and Wan Abdul Kadir, Wan Rasidah (2016) Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest. Journal of Tropical Forest Science, 28 (3). pp. 285-297. ISSN 0128-1283 https://www.jstor.org/stable/43856533?seq=1#page_scan_tab_contents
spellingShingle Vijayanathan, Jeyanny
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
Wan Abdul Kadir, Wan Rasidah
Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title_full Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title_fullStr Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title_full_unstemmed Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title_short Spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
title_sort spatial variability of forest floor thickness for estimation of refined carbon stocks in a tropical montane forest
url http://psasir.upm.edu.my/id/eprint/53861/
http://psasir.upm.edu.my/id/eprint/53861/
http://psasir.upm.edu.my/id/eprint/53861/1/Spatial%20variability%20of%20forest%20floor%20thickness%20for%20estimation%20of%20refined%20carbon%20stocks%20in%20a%20tropical%20montane%20forest.pdf