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

Abstract. Nattharom N, Roongtawanreongsri S, Bumrungsri S. 2020. Growth prediction for rubber trees and intercropped forest trees to facilitate environmental services valuation in South Thailand. Biodiversitas 21: 2019-2034. Tree growth parameters are necessary for valuing ecological services of tr...

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Autores principales:	Narun Nattharom, SAOWALAK ROONGTAWANREONGSRI, SARA BUMRUNGSRI
Formato:	article
Lenguaje:	EN
Publicado:	MBI & UNS Solo 2020
Materias:	dispersion, seram and buru island, slope, tongkat langit banana, topography and climate factors Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/636105e877dc4959962e9a39901e5140
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spelling	oai:doaj.org-article:636105e877dc4959962e9a39901e51402021-11-22T00:35:33ZGrowth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand1412-033X2085-472210.13057/biodiv/d210528https://doaj.org/article/636105e877dc4959962e9a39901e51402020-04-01T00:00:00Zhttps://smujo.id/biodiv/article/view/5431https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Nattharom N, Roongtawanreongsri S, Bumrungsri S. 2020. Growth prediction for rubber trees and intercropped forest trees to facilitate environmental services valuation in South Thailand. Biodiversitas 21: 2019-2034. Tree growth parameters are necessary for valuing ecological services of trees in both natural forest and agroforest. These parameters are difficult to measure annually, and thus often lack the information needed in valuation. This study aimed to use regression analysis to create growth models for diameter at breast height (DBH), total height (TH), and merchantable height (MH) of Hevea brasiliensis Mull-Arg. (rubber tree) and five economic forest trees that are preferred by rubber farmers for intercropping, including Hopea odorata Roxb., Shorea roxburghii G.Don., Swietenia macrophylla King., Dipterocarpus alatus Roxb., and Azadirachta excelsa (Jack) Jacobs. Data were collected from 39 rubber plantations that contain rubber trees and the intercropped tree species at different ages in three provinces in South Thailand. The data were modelled using regression analysis with curve fitting to find the best-fitted curve to a given set of points by minimizing the sum of the squares of the residuals and standard error of the regression of the points from the curve. The results arrived at 21 models for the DBH, TH, and MH growth of rubber and the intercropped trees, in the forms of, power, sigmoid and exponential trends that vary according to the type of trees. The models can be used to predict tree growth parameters, which are useful for determining the value of ecosystem services such as carbon dioxide sequestration, oxygen production, and timber production.Narun NattharomSAOWALAK ROONGTAWANREONGSRISARA BUMRUNGSRIMBI & UNS Soloarticledispersion, seram and buru island, slope, tongkat langit banana, topography and climate factorsBiology (General)QH301-705.5ENBiodiversitas, Vol 21, Iss 5 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	dispersion, seram and buru island, slope, tongkat langit banana, topography and climate factors Biology (General) QH301-705.5
spellingShingle	dispersion, seram and buru island, slope, tongkat langit banana, topography and climate factors Biology (General) QH301-705.5 Narun Nattharom SAOWALAK ROONGTAWANREONGSRI SARA BUMRUNGSRI Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
description	Abstract. Nattharom N, Roongtawanreongsri S, Bumrungsri S. 2020. Growth prediction for rubber trees and intercropped forest trees to facilitate environmental services valuation in South Thailand. Biodiversitas 21: 2019-2034. Tree growth parameters are necessary for valuing ecological services of trees in both natural forest and agroforest. These parameters are difficult to measure annually, and thus often lack the information needed in valuation. This study aimed to use regression analysis to create growth models for diameter at breast height (DBH), total height (TH), and merchantable height (MH) of Hevea brasiliensis Mull-Arg. (rubber tree) and five economic forest trees that are preferred by rubber farmers for intercropping, including Hopea odorata Roxb., Shorea roxburghii G.Don., Swietenia macrophylla King., Dipterocarpus alatus Roxb., and Azadirachta excelsa (Jack) Jacobs. Data were collected from 39 rubber plantations that contain rubber trees and the intercropped tree species at different ages in three provinces in South Thailand. The data were modelled using regression analysis with curve fitting to find the best-fitted curve to a given set of points by minimizing the sum of the squares of the residuals and standard error of the regression of the points from the curve. The results arrived at 21 models for the DBH, TH, and MH growth of rubber and the intercropped trees, in the forms of, power, sigmoid and exponential trends that vary according to the type of trees. The models can be used to predict tree growth parameters, which are useful for determining the value of ecosystem services such as carbon dioxide sequestration, oxygen production, and timber production.
format	article
author	Narun Nattharom SAOWALAK ROONGTAWANREONGSRI SARA BUMRUNGSRI
author_facet	Narun Nattharom SAOWALAK ROONGTAWANREONGSRI SARA BUMRUNGSRI
author_sort	Narun Nattharom
title	Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
title_short	Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
title_full	Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
title_fullStr	Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
title_full_unstemmed	Growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in South Thailand
title_sort	growth prediction for rubber tree and intercropped forest trees to facilitate environmental services valuation in south thailand
publisher	MBI & UNS Solo
publishDate	2020
url	https://doaj.org/article/636105e877dc4959962e9a39901e5140
work_keys_str_mv	AT narunnattharom growthpredictionforrubbertreeandintercroppedforesttreestofacilitateenvironmentalservicesvaluationinsouththailand AT saowalakroongtawanreongsri growthpredictionforrubbertreeandintercroppedforesttreestofacilitateenvironmentalservicesvaluationinsouththailand AT sarabumrungsri growthpredictionforrubbertreeandintercroppedforesttreestofacilitateenvironmentalservicesvaluationinsouththailand
_version_	1718418527819399168

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

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