Estimating Large Area Forest Carbon Stocks—A Pragmatic Design Based Strategy

摘要: Reducing uncertainty in forest carbon estimates at local and regional scales has become increasingly important due to the centrality of terrestrial cycle issues climate change. In Victoria, Australia, public natural forests extend over 7.2 M ha constitute a significant stock. Recently, wide range approaches estimate stocks within these have been developed applied. However, there are number data estimation limitations associated with studies. response, last five years, State Victoria implemented pragmatic plot-based design consisting pre-stratified permanent observational units located on state-wide grid. Using ground sampling grid, we estimated aboveground belowground (including soil 0.3 m depth) both National Parks Forests, across bioregions. Estimates were conducted using simple based estimators. We detected significantly more total components Forests (408.9 t ha−1, 95% confidence interval 388.8–428.9 ha−1) than (267.6 251.9–283.3 ha−1). also able (and uncertainty) for 21 strata that represent all Victoria’s bioregions tenures. It is anticipated lessons learnt from this study may support discussion planning implementing low cost large area stock other jurisdictions.