+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Development of Allometric Equations for Estimating Above-Ground Liana Biomass in Tropical Primary and Secondary Forests, Malaysia



Development of Allometric Equations for Estimating Above-Ground Liana Biomass in Tropical Primary and Secondary Forests, Malaysia



International Journal of Ecology 2013: 1-8



The study developed allometric equations for estimating liana stem and total above-ground biomass in primary and secondary forests in the Penang National Park, Penang, Malaysia. Using biomass-diameter-length data of 60 liana individuals representing 15 species, allometric equations were developed for liana stem biomass and total above-ground biomass (TAGB). Three types of allometric equations were developed: models fitted to untransformed, weighted, and log-transformed (log10) data. There was a significant linear relationship between biomass and the predictors (diameter, length, and/or their combinations). The same set of models was developed for primary and secondary forests due to absence of differences in regression line slopes of the forests (ANCOVA: ). The coefficients of determination values of the models were high (stem: 0.861 to 0.990; TAGB: 0.900 to 0.992). Generally, log-transformed models showed better fit (Furnival's index, FI < 0.50) than the other models (FI > 0.5). A comparison of the best TAGB model in this study (based on FI) with previously published equations indicated that most of the equations significantly overestimated TAGB of lianas. However, a previous equation from Southeast Asia estimated TAGB similar to that of the current equation. Therefore, regional or intracontinental equations should be preferred to intercontinental equations when estimating liana biomass.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 036937917

Download citation: RISBibTeXText

DOI: 10.1155/2013/658140


Related references

Development of Allometric Relationships for Accurate Estimation of above- and Below-Ground Biomass in Tropical Secondary Forests in Sarawak, Malaysia. Journal of Tropical Ecology 25(4): 371-386, 2009

Liana allometric biomass equations for Amazonian primary and secondary forest. Forest Ecology and Management 195(1/2): 69-83, 2004

Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management 146(1/3): 199-209, 2001

Allometric equations for accurate estimation of above-ground biomass in logged-over tropical rainforests in Sarawak, Malaysia. Journal of Forest Research 14(6): 365-372, 2009

Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. Forest Ecology and Management 310: 483-494, 2013

Efficacy of generic allometric equations for estimating biomass: a test in Japanese natural forests. Ecological Applications 25(5): 1433-1446, 2015

Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam. Forest Ecology and Management 382: 193-205, 2016

Allometric equations for estimating the above-ground biomass of cacao stands in the eastern Amazon Basin. Agrotropica 6(3): 65-72, 1994

Allometric equations for estimating above ground Biomass of Rhizophora mucronata Lamk. (Rhizophoraceae) Mangroves at Gazi Bay, Kenya. Western Indian Ocean Journal of Marine Science 5(1): 27-34, 2006

Allometric equations for estimating above-ground biomass and carbon stock inFaidherbia albidaunder contrasting management in Malawi. Agroforestry Systems 90(6): 1061-1076, 2016

Species-specific and general allometric equations for estimating tree biomass components of subtropical forests in southern China. European Journal of Forest Research 135(5): 963-979, 2016

Estimation of the carbon pool in soil and above-ground biomass within mangrove forests in Southeast Mexico using allometric equations. Journal of Forestry Research 25(1): 129-134, 2014

Estimating carbon stock in secondary forests Decisions and uncertainties associated with allometric biomass models. Forest Ecology and Management 262(8): 0-1657, 2011

Allometric models for estimating above- and below-ground biomass in Amazonian forests at Sao Gabriel da Cachoeira in the upper Rio Negro, Brazil. 2012

Artificial neural network application in comparison with modeling allometric equations for predicting above-ground biomass in the Hyrcanian mixed-beech forests of Iran. Biomass and Bioenergy 88: 66-76, 2016