caa a22 4500 445384077 CHVBK 20180317143026.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10021-011-9480-4 doi (NATIONALLICENCE)springer-10.1007/s10021-011-9480-4 Aboveground Forest Carbon Dynamics in Papua New Guinea: Isolating the Influence of Selective-Harvesting and El Niño [Elektronische Daten] [Julian Fox, Ghislain Vieilledent, Cossey Yosi, Joe Pokana, Rodney Keenan] Assessment of forest carbon (C) stock and sequestration and the influence of forest harvesting and climatic variations are important issues in global forest ecology. Quantitative studies of the C balance of tropical forests, such as those in Papua New Guinea (PNG), are also required for forest-based climate change mitigation initiatives. We develop a hierarchical Bayesian model (HBM) of aboveground forest C stock and sequestration in primary, selectively harvested, and El Niño Southern Oscillation (ENSO)-effected lowland tropical forest from 15years of Permanent Sample Plot (PSP) census data for PNG consisting of 121 plots in selectively harvested forest, and 35 plots in primary forest. Model parameters indicated: C stock in aboveground live biomass (AGLB) of 137±9 (95% confidence interval (CI)) MgCha−1 in primary forest, compared with 62±18MgCha−1 for selectively harvested forest (55% difference); C sequestration in primary forest of 0.23±1.70MgCha−1y−1, which was lower than in selectively harvested forest, 1.12±3.41MgCha−1y−1; ENSO-induced fire resulted in significant C emissions (−6.87±3.94MgCha−1y−1). High variability between PSPs in C stock and C sequestration rates necessitated random plot effects for both stock and sequestration. The HBM approach allowed inclusion of hierarchical autocorrelation, providing valid CIs on model parameters and efficient estimation. The HBM model has provided quantitative insights on the C balance of PNG's forests that can be used as inputs for climate change mitigation initiatives. Springer Science+Business Media, LLC, 2011 biomass nationallicence sequestration nationallicence degradation nationallicence selective-harvesting nationallicence REDD+ nationallicence carbon nationallicence bayesian nationallicence hierarchical nationallicence Fox Julian Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut Vieilledent Ghislain Cirad-UR 105 Forest Ecosystem Goods and Services, TA C-105/D, Campus International de Baillarguet, 34398, Montpellier Cedex 5, France aut Yosi Cossey Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut Pokana Joe Papua New Guinea Office of Climate Change and Development, PO Box 6601, Boroko 111, Papua New Guinea aut Keenan Rodney Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut Ecosystems Springer-Verlag 14/8(2011-12-01), 1276-1288 1432-9840 14:8<1276 2011 14 10021 https://doi.org/10.1007/s10021-011-9480-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10021-011-9480-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fox Julian Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut NATIONALLICENCE 700 1- Vieilledent Ghislain Cirad-UR 105 Forest Ecosystem Goods and Services, TA C-105/D, Campus International de Baillarguet, 34398, Montpellier Cedex 5, France aut NATIONALLICENCE 700 1- Yosi Cossey Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut NATIONALLICENCE 700 1- Pokana Joe Papua New Guinea Office of Climate Change and Development, PO Box 6601, Boroko 111, Papua New Guinea aut NATIONALLICENCE 700 1- Keenan Rodney Department of Forest and Ecosystem Science, The University of Melbourne Burnley Campus, 500 Yarra Blvd, 3121, Richmond, Victoria, Australia aut NATIONALLICENCE 773 0- Ecosystems Springer-Verlag 14/8(2011-12-01), 1276-1288 1432-9840 14:8<1276 2011 14 10021 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer