Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand

Nattharom, Narun; Roongtawanreongsri, Saowalak; Bumrungsri, Sara

doi:10.13057/biodiv/d210528

Cited by 2 publications

(5 citation statements)

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“…For instance, A2 provided the highest ecosystem service value as a result of intercropping with S. macrophylla, which had a higher biomass increment than the other species in the study (Table 4). The average annual biomass increment of S. macrophylla, which we calculated from the predictive model by Nattharom et al (2020), was considerably high when compared with other tree species in this study. Unfortunately, due to the limitation of the number of research on the annual size and the biomass of S. macrophylla that covers a period of 22 years, the accuracy of the prediction could not be verified.…”

Section: Journal Of Sustainabilitymentioning

confidence: 57%

“…DBH is the diameter of the bole of a standing tree at 1.30 m, while TH is the perpendicular distance between the axis of the bole of the tree from the ground to the uppermost point, and MH is the distance from the base of the tree to the first branching or other defects of the tree (Brack, 1999). Our previous work, in the same study area as in this study (Nattharom et al, 2020), has generated growth models from a regression analysis, which used DBH, TH, and MH data from 14 monoculture rubber plantations and 25 rubber-based agroforest plantations in Trang, Phatthalung, and Songkhla provinces. Six species were found on those farms.…”

Section: Growth Predictionmentioning

confidence: 99%

“…As seen in the equations, the tree's DBH and TH data in a particular year are needed. These growth sizes are difficult to measure annually, so they are predicted using the growth models generated specifically for these exact species, which were done in a previous research (Nattharom et al, 2020).…”

Section: Valuation Of Co 2 Sequestration and O 2 Production Servicesmentioning

confidence: 99%

“…Note that there was a drop in the quantity at year 8 due to the predictive growth models. According to Nattharom et al (2020), the models for predicting rubber growth were separated into two phases: rubber before tapping (1-6 years old) and rubber after tapping (7 years old up), as generally, the rubber trees grow faster when they have not been tapped. Hence, in each type, the services dropped at the age of 8 years old and started to increase again from that point onwards.…”

Section: 3mentioning

confidence: 99%

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The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

Nattharom¹,

Roongtawanreongsri²,

Bumrungsri³

2021

JSSM

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The objective of this study was to estimate the ecosystem service values of three types of rubber-based agroforest plantations and monoculture rubber plantations in the southern region of Thailand, covering a life cycle of 25 years. Three ecosystem services were investigated in this study: timber production, CO 2 sequestration, and O 2 production. The study used data collected from 29 plantations and used growth prediction models from previous research to determine the quantity and value of the ecosystem services. The results showed that at at the 25 th year, the agroforest rubber plantation that cultivated Hevea brasiliensis Mull-Arg. with Hopea odorata Roxb., Shorea roxburghii G.Don. and Swietenia macrophylla King. provided the highest value of timber production, CO 2 sequestration and O 2 production (190622.62 USD/ha, 5918.5 USD/ha and 90779.3 USD/ha, respectively), whereas the monoculture rubber plantation provided the lowest value (11715.12 USD/ ha, 565.8 USD/ha and 6587.5 USD/ha, respectively). Overall, the agroforest plantations provided higher benefit than monoculture plantations. The findings can be used to support farmers and governmental agencies to diversify monoculture rubber plantations, which will ultimately contribute to environmental and human well-being.

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Section: Journal Of Sustainabilitymentioning

confidence: 57%

Section: Growth Predictionmentioning

confidence: 99%

Section: Valuation Of Co 2 Sequestration and O 2 Production Servicesmentioning

confidence: 99%

Section: 3mentioning

confidence: 99%

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The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

Nattharom¹,

Roongtawanreongsri²,

Bumrungsri³

2021

JSSM

Self Cite

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“…(Susanto et al 2017), Eucalyptus (Singh and Dhakad 2018) and Hevea brasiliensis Mull-Arg. (Nattharom et al 2020). In the earlier studies of sago palm, simple linear regression was used to predict the growth rate (Yamamoto et al 2003(Yamamoto et al , 2010Yanagidate et al 2009).…”

Section: Growth Model Developmentmentioning

confidence: 99%

Growth prediction of sago palm (Metroxylon sagu) in Thailand using the Linear Mixed-effect model

et al. 2021

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Abstract. Jariyapong M, Roongtawanreongsri S, Romyen A. Somboonsuke B, 2021. Growth prediction of sago palm (Metroxilon sagu) in Thailand using the Linear Mixed-effect model. Biodiversitas 22: 5293-5301. A living sago palm is a potential resource for carbon sequestration in peat swamp. It can provide benefits for agriculturists and environmental sustainability. This study’s aim is to create a growth prediction of sago palm size at individual ages using a linear mixed-effect model. The sample palms were selected from 43 sago palm parents which have been re-measured and recorded at intervals of 2-20 years. The experimental plot was on deep peat soil (with peat depth at over 2.5 m) at Phru Todaeng Swamp Forest, Southern Thailand. To find the best model for growth prediction, we used a traditional linear model (Model 1 and 4) and linear mixed-effect models (Model 2, 3, 5 and 6) to generate the relationship between age, diameter, and height. The best model was selected based on considering the smallest Akaike’s Information Criteria (AIC), the Bayes Information Criteria (BIC), and the absolute mean error (AME). The results showed the smallest values of AIC, BIC, and AME in Model 3 which produced the best model for predicting the total overall growth in sago palm. The age and diameter under the independent variable were statistically significant (? = 0.01); these two factors influenced the sago palm height rate. Hence, this model can be used to predict the overall growth of sago palms, which is useful for biomass estimation and calculating the carbon sequestration of planted sago palms. The carbon sequestration in living sago palm can be compared with other commercial crops for future benefit. This approach can lead to a future solution for wetland management and land-use changes.

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Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand

Cited by 2 publications

References 0 publications

The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

Growth prediction of sago palm (Metroxylon sagu) in Thailand using the Linear Mixed-effect model

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