Carbon stock measurements of a degraded tropical logged-over secondary forest in Manokwari Regency, West Papua, Indonesia

Hendri,; Yamashitâ, Takao; Kuntoro, Arno Adi; Lee, Han Soo

doi:10.1007/s11632-012-0105-6

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…Among the compiled studies, 41 % had a sample size of less than 15 trees, 48 % were based on sample sizes between 16 and 40 trees, 9 % were based on sample sizes between 41 and 90 trees, and the rest (2 %) sampled between 91 and 226 trees. The largest sample sizes were reported by Hendri et al (2012) …”

Section: Sample Size and Methodsmentioning

confidence: 99%

“…3). Province-wise, the highest number of studies appeared in Central Java (28) followed by West Java Hendri et al 2012), and Maluku (Stas 2011). We did not find any biomass equations from Bali, Lesser Sunda Islands, and Nusa Tenggara regions.…”

Section: Spatial Distribution Of Allometric Equationsmentioning

confidence: 99%

“…Only a few studies cut more than 100 trees in Indonesia (Yamakura et al 1986a, b;Hashimoto et al 2004;Heriansyah et al 2007;Miyamoto et al 2007;Basuki et al 2009;Hendri et al 2012). The cumulative number of trees cut from 168 studies was 5,207 trees.…”

Section: Sampling and Parameters Used For Developing The Equationmentioning

confidence: 99%

“…Similarly, Marshall and Beehler (2007) identified ten forest types in Papua: mangrove forest, swamp, swamp brush, swamp forest, lowland evergreen forest, lower montane rainforest, upper montane rain forest, subalpine forest, brush, and savanna. Among these, lowland evergreen forest was studied by Hendri et al (2012) and claimed to be first of its kind from the Sahul shelf of the Australian and New Guinea continent in Papua. This highlights the need for more research on the unique ecosystems of these islands.…”

Section: Distribution Of the Equations In Different Provinces And Islmentioning

confidence: 99%

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A review of forest and tree plantation biomass equations in Indonesia

Anitha

Verchot

Joseph

et al. 2015

Annals of Forest Science

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& Key message We compiled 2,458 biomass equations from 168 destructive sampling studies in Indonesia. Unpublished academic theses contributed the largest share of the biomass equations. The availability of the biomass equations was skewed to certain regions, forest types, and species. Further research is necessary to fill the data gaps in emission factors and to enhance the implementation of climate change mitigation projects and programs. & Context Locally derived allometric equations contribute to reducing the uncertainty in the estimation of biomass, which may be useful in the implementation of climate change mitigation projects and programs in the forestry sector. Many regional and global efforts are underway to compile allometric equations.& Aims The present study compiles the available allometric equations in Indonesia and evaluates their adequacy in estimating biomass in the different types of forest across the archipelago. & Methods A systematic survey of the scientific literature was conducted to compile the biomass equations, including ISI publications, national journals, conference proceedings, scientific reports, and academic theses. The data collected were overlaid on a land use/land cover map to assess the spatial distribution with respect to different regions and land cover types. The validation of the equations for selected forest types was carried out using independent destructive sampling data. & Results A total of 2,458 biomass equations from 168 destructive sampling studies were compiled. Unpublished academic theses contributed the majority of the biomass equations. Twenty-one habitat types and 65 species were studied in detail. Diameter was the most widely used single predictor in all allometric equations. The cumulative number of individual trees cut was 5,207. The islands of Java, Kalimantan, and Sumatra were the most studied, while other regions were underexplored or unexplored. More than half of the biomass equations were for just seven species. The majority of the studies were carried out in plantation forests and secondary forests, while primary forests remain largely understudied. Validation using independent data showed that the allometric models for peat swamp forest had lower error departure, while the models for lowland dipterocarp forest had higher error departure. & Conclusion Although biomass studies are a major research activity in Indonesia due to its high forest cover, the majority of such activities are limited to certain regions, forest types, and species. More research is required to cover underrepresented regions, forest types, particular growth forms, and very large tree diameter classes.

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Section: Sample Size and Methodsmentioning

confidence: 99%

Section: Spatial Distribution Of Allometric Equationsmentioning

confidence: 99%

Section: Sampling and Parameters Used For Developing The Equationmentioning

confidence: 99%

Section: Distribution Of the Equations In Different Provinces And Islmentioning

confidence: 99%

See 2 more Smart Citations

A review of forest and tree plantation biomass equations in Indonesia

Anitha

Verchot

Joseph

et al. 2015

Annals of Forest Science

View full text Add to dashboard Cite

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“…Few studies concerning the effects of logging in Papua logged forests were conducted. Some studies focused only on damages, changes in basal area (Gandhi & Mitlöhner 2014), population dynamics of remaining trees (Murdjoko 2013 ;Kuswandi & Murdjoko 2015;Murdjoko 2016b) and et al biomass stock change (Hendri et al 2012). Therefore, it is necessary to analyze forest recovery using the ecological approach in South Papua.…”

Section: Introductionmentioning

confidence: 99%

Recovery of Residual Forest Ecosystem as an Impact of Selective Logging in South Papua: An Ecological Approach

et al. 2017

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Papua has been experiencing heavy logging activity in its forests for decades. However, only several studies focused on the effect of logging in the forest ecosystem. This research was aimed to analyze recovery processes of the forest ecosystem. The research was conducted in the logged tropical rainforest in South Papua using ecological approach which used tree communities as biotic and soil condition as abiotic indicators. Data were collected in the logging area of PT Tunas Timber Lestari located in the tropical rainforest of South Papua. There were five groups of forests used in this research i.e. unlogged, one year post selectively-logged, five years post selectively-logged, ten years post selectively-logged and fifteen years post selectively-logged forests. Thirty nested plots were laid on each forest group. Canonical Correspondence Analysis (CCA) was applied to analyze the understory and upperstory plant communities. Understory and upperstory plant communities formed different patterns due to logging. Plant communities in the ten and fifteen years post-selectively logged forests were not similar to those in the unlogged forest. Soil organic matter (SOM) content in the selectively logged forests was lower than that in the unlogged forest. These occurrences indicated that the selectively logged forests were still recovering and required more than fifteen years to be fully recovered.

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