Developing a scientific basis for sustainable management of tropical forest watersheds

Zin, Min Thant

doi:10.17875/gup2005-246

Cited by 7 publications

(3 citation statements)

References 133 publications

(192 reference statements)

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“…The Knysna research plot is part of the "French Volume Curve" (FVC) experimental area in the evergreen forests of the Southern Cape Region of South Africa [65]. The Sinthwat research forest, which is situated near the Sinthwat village in the Paunglaung watershed of Myanmar, has been classified as a tropical mixed deciduous forest [66]. More details of the data from China and other countries are provided in the Supplementary Materials.…”

Section: Field Datamentioning

confidence: 99%

A Novel Method for Calculating Stand Structural Diversity Based on the Relationship of Adjacent Trees

Zhao

Gao

Liu

et al. 2022

Forests

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Understanding the diversity and complexity of stand structure is important for managing the biodiversity of forest ecosystem, and stand structural diversity is essential for evaluating forest management activities. Based on the relationship of adjacent trees, a quantitative method of stand structure diversity is proposed to express the heterogeneity of stand structure in tree species, distribution pattern, species separation and size differentiation. In this study, we defined the diversity of structural unit types and derived a new index of forest structural diversity (SD′) employing the additivity principle of the Shannon–Weiner index. The efficiency of the index was verified by applying the new measure to sixteen field survey samples at different locations. The mountain rainforest in Hainan had the highest forest structural diversity, followed by broad-leaved Korean pine forests in Jiaohe (2), Jiaohe (1) and an oak-broadleaved mixed natural forest at Xiaolongshan (2). The SD′ values of plantations and pure natural forest were lower. The simulated data of different thinning methods and the intensity of broad-leaved Korean pine forests show that the new measure can reflect forest management changes on stand structure diversity. The value of SD′ compared with no treatments and the differences were greater as thinning intensity increased. The SD′ index provides minimum and maximum values for different structural unit types in forests to achieve a unified comparative basis for calculating forest structure diversity. It has the characteristics of the general diversity index and can well express the diversity of tree species, distribution pattern and size differentiation simultaneously. The SD′ index can not only calculate the structural diversity of mixed species forests but can also be used to calculate the structural diversity of pure forests. It can also be used to evaluate the change in stand structure diversity after management interventions.

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Section: Field Datamentioning

confidence: 99%

A Novel Method for Calculating Stand Structural Diversity Based on the Relationship of Adjacent Trees

Zhao

Gao

Liu

et al. 2022

Forests

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“…Curve" (FVC) experimental area in the evergreen forests of the Southern Cape Region of South Africa (Kempka and Gadow, 1998). The Sinthwat research forest, which is situated near the Sinthwat village in the Paunglaung watershed of Myanmar, has been classified as a tropical mixed deciduous forest (Zin, 2005).…”

Section: Measured Field Datamentioning

confidence: 99%

A Novel Method for Evaluating Diversity of Stand Structure Based on Relationship of Adjacent Trees

Zhao¹,

Zhang²,

Liu³

et al. 2021

Preprint

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Background Improving the diversity and complexity of stand structure is the basis for maintaining and increasing forest ecosystem biodiversity. Measures of stand structural diversity is important for predicting stand growth and evaluating forest management activities. Based on the relationship of adjacent trees, we present a new method for the quantitative analysis of stand structure diversity that allows comparison of stand structural heterogeneity between different stands and forest types and to quantify the impact of forest management on structural diversity. Method: The diversity of structural unit types was defined and then we derive a new index of forest structural diversity () according to the additivity principle of Shannon-Weiner index. The effectiveness and sensitivity to management were verified by sixteen field survey samples in different locations and six different simulated management datasets based on Pinus koraiensis broad-leaved forest survey sample. Results (1) The mountain rainforest in Hainan had the highest \({{S}^{\text{'}}}_{D}\) value at 5.287, followed by broad-leaved Korean pine forest in Jiaohe (2), Jiaohe (1) and oak broadleaved mixed natural forest in Xiaolongshan (2), with values of 5.144, 5.014 and 5.006, respectively. The \({{S}^{\text{'}}}_{D}\) values of plantations and natural pure forest were lower. (2) Different thinning methods and intensities reduced \({{S}^{\text{'}}}_{D}\) compared with no treatment and magnitude of the with the differences were greater as thinning intensity increased. The \({{S}^{\text{'}}}_{D}\) value of thinning from above decreased more than thinning from below at the same thinning intensity. Conclusion The\({{S}^{\text{'}}}_{D}\) well describes differences in stand structural diversity of different forest types and allows comparison of stand structural heterogeneity. It is also sensitive to forest management activities and to quantify the impact of forest management on structural diversity. The application of this new index \({{S}^{\text{'}}}_{D}\) could greatly facilitate forest management and monitoring.

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“…The maximum and minimum annual total rainfalls are 2,167 mm and 812 mm, respectively (Mon, Kajisa, Mizoue, & Yoshida, 2009). Forests cover most parts of the RF, and they can be broadly classified as mixed deciduous forests and evergreen forests (Zin, 2005). In 2015, the Upper Paung Laung Dam located on the Paung Laung River, which runs from north to south in the middle of the study area, was established to generate electricity and to provide irrigation for various crops.…”

Section: Site Descriptionmentioning

confidence: 99%

Examination of Bamboo Measurement Method for Biomass Estimation in the Paung Laung Reserve Forest, Myanmar

et al. 2019

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The objective of this study was to investigate a method of measuring bamboo diameter at breast height (DBH) for biomass estimation using Monte Carlo sampling. The data for this study were collected in Paung Laung Reserve Forest, Myanmar. The research developed two different methods for determining required sampling numbers based on changes in the coefficient of variation (CV) with the sampling ratio and sampling size using 37 plots of bamboo. These sampling numbers were derived from the sampling ratio with a CV less than 10 % and the stability of the CV. The error ratios of the two results between measured and estimated bamboo biomass were 6.0 % and 6.9 %. It will be necessary to assess the balance between the estimation accuracy and survey time for carbon stock estimation of bamboo, which is indispensable for an accurate forest carbon accounting in Myanmar.

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Developing a scientific basis for sustainable management of tropical forest watersheds

Cited by 7 publications

References 133 publications

A Novel Method for Calculating Stand Structural Diversity Based on the Relationship of Adjacent Trees

A Novel Method for Calculating Stand Structural Diversity Based on the Relationship of Adjacent Trees

A Novel Method for Evaluating Diversity of Stand Structure Based on Relationship of Adjacent Trees

Examination of Bamboo Measurement Method for Biomass Estimation in the Paung Laung Reserve Forest, Myanmar

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