The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia

Small-scale Privately-owned Forest (SSPF) has various patterns identification, based on the stand structure and species composition. The recognition and classification of the SSPF cropping patterns are required for further planning and policy development. Therefore, this study aims to classify the c...

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Main Authors: Siarudin, Mohamad, Awang, San Afri, Sadono, Ronggo, Suryanto, Priyono
Format: Article
Language:English
Published: Universitas Hasanuddin 2022
Subjects:
Online Access:https://repository.ugm.ac.id/283243/1/17997-Manuscript%20-60676-2-10-20220108.pdf
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author Siarudin, Mohamad
Awang, San Afri
Sadono, Ronggo
Suryanto, Priyono
author_facet Siarudin, Mohamad
Awang, San Afri
Sadono, Ronggo
Suryanto, Priyono
author_sort Siarudin, Mohamad
collection UGM
description Small-scale Privately-owned Forest (SSPF) has various patterns identification, based on the stand structure and species composition. The recognition and classification of the SSPF cropping patterns are required for further planning and policy development. Therefore, this study aims to classify the cropping pattern of SSPF in Ciamis Regency, West Java Province, Indonesia. The data were collected by observing the stand structure and species composition of 150 plots of land, encompassing three Sub-districts representing the central, northern, and southern regions of Ciamis Regency. The four categorical variables include tree species composition, age, spatial distribution, and intercropping pattern. While the two continuous variables were stand density and basal area. The patterns obtained were classified based on a Two-Step Cluster algorithm with log-likelihood distance measure, and auto clustering using Schwarz's Bayesian Information Criterion, validated by silhouette index. In addition, a multicollinearity test was conducted to reduce redundancy in using variable sets. The results showed that, the improvement of the cluster quality based on the silhouette index value, was achievable by excluding the tree spatial distribution variable, which exhibits multicollinearity. The cropping patterns were classified into three categories, namely tree crops, mixed-tree lots, and agrisilviculture for group-1, group-2, and group-3, respectively. Group-1 consisted of stands with one or two commercial tree species, and in several cases, were intercropped. Group-2 contained uneven-aged mixed-tree stands without any crops. While Group-3 consisted of an intercropping system of uneven-aged mixed-tree stands and crops. The results suggest further analysis, in order to relate the cropping patterns with the socio-economic characteristics of the landowners, as well as the strategies for the development of a sustainable SSPF. © 2022 by Forest and Society. This work is licensed under a Creative Commons Attribution 4.0 International License.
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spelling oai:generic.eprints.org:2832432023-11-22T04:44:31Z https://repository.ugm.ac.id/283243/ The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia Siarudin, Mohamad Awang, San Afri Sadono, Ronggo Suryanto, Priyono Forestry Management and Environment Forestry Sciences Small-scale Privately-owned Forest (SSPF) has various patterns identification, based on the stand structure and species composition. The recognition and classification of the SSPF cropping patterns are required for further planning and policy development. Therefore, this study aims to classify the cropping pattern of SSPF in Ciamis Regency, West Java Province, Indonesia. The data were collected by observing the stand structure and species composition of 150 plots of land, encompassing three Sub-districts representing the central, northern, and southern regions of Ciamis Regency. The four categorical variables include tree species composition, age, spatial distribution, and intercropping pattern. While the two continuous variables were stand density and basal area. The patterns obtained were classified based on a Two-Step Cluster algorithm with log-likelihood distance measure, and auto clustering using Schwarz's Bayesian Information Criterion, validated by silhouette index. In addition, a multicollinearity test was conducted to reduce redundancy in using variable sets. The results showed that, the improvement of the cluster quality based on the silhouette index value, was achievable by excluding the tree spatial distribution variable, which exhibits multicollinearity. The cropping patterns were classified into three categories, namely tree crops, mixed-tree lots, and agrisilviculture for group-1, group-2, and group-3, respectively. Group-1 consisted of stands with one or two commercial tree species, and in several cases, were intercropped. Group-2 contained uneven-aged mixed-tree stands without any crops. While Group-3 consisted of an intercropping system of uneven-aged mixed-tree stands and crops. The results suggest further analysis, in order to relate the cropping patterns with the socio-economic characteristics of the landowners, as well as the strategies for the development of a sustainable SSPF. © 2022 by Forest and Society. This work is licensed under a Creative Commons Attribution 4.0 International License. Universitas Hasanuddin 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283243/1/17997-Manuscript%20-60676-2-10-20220108.pdf Siarudin, Mohamad and Awang, San Afri and Sadono, Ronggo and Suryanto, Priyono (2022) The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia. Forest and Society, 6 (1). 104 – 120. https://journal.unhas.ac.id/index.php/fs/article/view/17997 https://doi.org/10.24259/fs.v6i1.17997
spellingShingle Forestry Management and Environment
Forestry Sciences
Siarudin, Mohamad
Awang, San Afri
Sadono, Ronggo
Suryanto, Priyono
The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title_full The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title_fullStr The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title_full_unstemmed The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title_short The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia
title_sort pattern recognition of small scale privately owned forest in ciamis regency west java indonesia
topic Forestry Management and Environment
Forestry Sciences
url https://repository.ugm.ac.id/283243/1/17997-Manuscript%20-60676-2-10-20220108.pdf
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