Table 2 - uploaded by Arison Arihafa
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Twelve candidate models selected for determining appropriate AGC stock level for trees $5 cm DBH in primary hill, secondary hill and primary plain forests ranked by AICc Key: K, number of parameters; AICc, Akaike's information criterion with a small sample correction; DAICc, difference between candidate model and top model in terms of AICc; LL, maximised value of the log-likelihood function (LL)

Twelve candidate models selected for determining appropriate AGC stock level for trees $5 cm DBH in primary hill, secondary hill and primary plain forests ranked by AICc Key: K, number of parameters; AICc, Akaike's information criterion with a small sample correction; DAICc, difference between candidate model and top model in terms of AICc; LL, maximised value of the log-likelihood function (LL)

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Forest carbon emission mitigation schemes seek to protect tropical forest, combat effects of climate change, and offer potential cash and development opportunities. Reducing emissions from deforestation and degradation (REDD+) projects based on a foundation of accurate carbon stock assessment provide such an opportunity for Papua New Guinea. The ob...

Contexts in source publication

Context 1
... only independent variable for the most parsimonious model for AGC stocks was forest type (model weight 64%: Table 2). There was also some lower support for models with forest type and slope (model weight 23%) and forest type and location (model weight 13%) as explanatory variables (Table 2). ...
Context 2
... only independent variable for the most parsimonious model for AGC stocks was forest type (model weight 64%: Table 2). There was also some lower support for models with forest type and slope (model weight 23%) and forest type and location (model weight 13%) as explanatory variables (Table 2). Mean carbon stocks in AGB were: primary hill forest 165.0 Mg C ha À1 (95% CI: 148.3-183.7, ...
Context 3
... same top three models (forest type, forest type and slope, and forest type and location) were the top-ranked candidate models and had similar support in terms of model weight for CC (Table 4) compared with AGC (Table 2). Mean CC stocks were: primary hill 215.4 Mg C ha À1 (95% CI: 194.8-238.2, ...
Context 4
... top model describing AGC as being best explained in terms of different forest types suggests the presence of three forest strata: primary hill, primary plain and secondary hill forests (Table 2). The mean carbon stock in AGB for primary hill forest (165.0 ...

Citations

... The large decrease in the area of primary forest, as reported in these official figures, is of key importance for the context of REDD+ in PNG because these areas will have held considerably higher carbon stocks than the regenerating forest areas that have replaced them. This is the case even for relatively old (>40 years) secondary forest which contain on average 60% of the above ground biomass (ABG) of comparable primary forest areas (see Table 6 of Arihafa et al. 2015 for this and other studies). These reported decreases in the extent of primary forest (and their replacement with regenerating forest) will have resulted in a substantial reduction in forest biomass (degradation) in PNG's forest over the last 25 years. ...
... According to Bryan and Shearman (2015) this forest area is declining at a rate of around 0.5% per year, although this is contradicted by FAO (2015) figures for PNG. While the FAO (2015b) report no major change in forest area, their data does indicate a decrease of 2.3% per year in the area of primary forest (see Annex 4) which will have caused an overall degradation of forest biomass due to the lower carbon biomass in secondary forests (Arihafa et al. 2015) that have replaced them. Bryan and Shearman (2015) report that deforestation and forest degradation are occurring as a result of large-scale industrial logging, large-scale clearance to produce agricultural commodities, and small-scale clearance for gardens and subsistence agriculture ( Figure 8). ...