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Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA.
- Source :
-
Carbon balance and management [Carbon Balance Manag] 2015 Aug 16; Vol. 10, pp. 19. Date of Electronic Publication: 2015 Aug 16 (Print Publication: 2015). - Publication Year :
- 2015
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Abstract
- Background: Continental-scale aboveground biomass maps are increasingly available, but their estimates vary widely, particularly at high resolution. A comprehensive understanding of map discrepancies is required to improve their effectiveness in carbon accounting and local decision-making. To this end, we compare four continental-scale maps with a recent high-resolution lidar-derived biomass map over Maryland, USA. We conduct detailed comparisons at pixel-, county-, and state-level.<br />Results: Spatial patterns of biomass are broadly consistent in all maps, but there are large differences at fine scales (RMSD 48.5-92.7 Mg ha <superscript>-1</superscript> ). Discrepancies reduce with aggregation and the agreement among products improves at the county level. However, continental scale maps exhibit residual negative biases in mean (33.0-54.6 Mg ha <superscript>-1</superscript> ) and total biomass (3.5-5.8 Tg) when compared to the high-resolution lidar biomass map. Three of the four continental scale maps reach near-perfect agreement at ~4 km and onward but do not converge with the high-resolution biomass map even at county scale. At the State level, these maps underestimate biomass by 30-80 Tg in forested and 40-50 Tg in non-forested areas.<br />Conclusions: Local discrepancies in continental scale biomass maps are caused by factors including data inputs, modeling approaches, forest/non-forest definitions and time lags. There is a net underestimation over high biomass forests and non-forested areas that could impact carbon accounting at all levels. Local, high-resolution lidar-derived biomass maps provide a valuable bottom-up reference to improve the analysis and interpretation of large-scale maps produced in carbon monitoring systems.
Details
- Language :
- English
- ISSN :
- 1750-0680
- Volume :
- 10
- Database :
- MEDLINE
- Journal :
- Carbon balance and management
- Publication Type :
- Academic Journal
- Accession number :
- 26294932
- Full Text :
- https://doi.org/10.1186/s13021-015-0030-9