Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric

Remote Sensing of Environment

Volumn 140, Issue , 2014, Pages 614-624

  Asner, Gregory P ^a   Mascaro, Joseph ^a  

^a GEOPHYSICAL LABORATORY   (United States)

Author keywords

Aboveground carbon density; Biomass; Carbon stock estimation; Carnegie Airborne Observatory; LiDAR; Lorey's height; National forest inventory; Rainforest

Indexed keywords

ABOVE-GROUND CARBONS; CARBON STOCKS; CARNEGIE AIRBORNE OBSERVATORIES; LOREY'S HEIGHT; NATIONAL FOREST INVENTORIES; RAINFOREST;

BIOMASS; CARBON; CARBON DIOXIDE; ESTIMATION; MAPPING; OPTICAL RADAR; TROPICS; VEGETATION;

FORESTRY;

BASAL AREA; BIOMASS; CALIBRATION; CARBON EMISSION; ESTIMATION METHOD; FOREST INVENTORY; LIDAR; MAPPING METHOD; MEASUREMENT METHOD; RAINFOREST; SUCCESSION; TROPICAL ENVIRONMENT; TROPICAL FOREST; VEGETATION TYPE;

EID: 84886442726     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.09.023     Document Type: Article

References (47)

1. Asner G.P., Clark J.K., Mascaro J., Vaudry R., Chadwick K.D., Vieilledent G., et al. Human and environmental controls over aboveground carbon storage in Madagascar. Carbon Balance and Management 2012, 7. 10.1186/1750-0680-1187-1182.
2. Asner G.P., Hughes R.F., Mascaro J., Uowolo A., Knapp D.E., Jacobson J., et al. High-resolution carbon mapping on the million-hectare Island of Hawai'i. Frontiers in Ecology and the Environment 2011, 9:434-439.
3. Asner G.P., Hughes R.F., Varga T.A., Knapp D.E., Kennedy-Bowdoin T. Environmental and biotic controls over aboveground biomass throughout a tropical rain forest. Ecosystems 2009, 12:261-278.
4. Asner G.P., Knapp D.E., Boardman J., Green R.O., Kennedy-Bowdoin T., Eastwood M., et al. Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sensing of Environment 2012, 124:454-465.
5. Asner G.P., Knapp D.E., Kennedy-Bowdoin T., Jones M.O., Martin R.E., Boardman J., et al. Carnegie Airborne Observatory: In-flight fusion of hyperspectral imaging and waveform light detection and ranging (LiDAR) for three-dimensional studies of ecosystems. Journal of Applied Remote Sensing 2007, 1. 10.1117/1111.2794018.
6. Asner G.P., Mascaro J., Muller-Landau H.C., Vieilledent G., Vaudry R., Rasamoelina M., et al. A universal airborne LiDAR approach for tropical forest carbon mapping. Oecologia 2012, 168:1147-1160.
7. Asner G.P., Powell G.V.N., Mascaro J., Knapp D.E., Clark J.K., Jacobson J., et al. High-resolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Sciences 2010, 107:16738-16742.
8. Baccini A., Goetz S.J., Walker W.S., Laporte N.T., Sun M., Sulla-Menashe D., et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2012, 2:182-185.
9. Baker T.R., Phillips O.L., Malhi Y., Almeida S.A.S., Arroyo L., Di Fiore A., et al. Variation in wood density determines spatial patterns in Amazonia forest biomass. Global Change Biology 2004, 10:545-562.
10. Baskerville G. Use of logarithmic regression in the estimation of plant biomass. Canadian Journal of Forest Research -Revue Canadienne De Recherche Forestiere 1972, 2:49-53.
11. Brown S. Estimating biomass and biomass change of tropical forests. Forestry Papers 1997, FAO, Rome.
12. Cade B.S., Noon B.R. A gentle introduction to quantile regression for ecologists. Frontiers in Ecology and the Environment 2003, 1:412-420.
13. Chave J., Andalo C., Brown S., Cairns M.A., Chambers J.Q., Eamus D., et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 2005, 145:87-99.
14. Chave J., Chust G., Condit R., Aguilar S., Hernandez A., Lao S., et al. Error propagation and scaling for tropical forest biomass estimates. Tropical forests and global atmospheric change 2004, 155-166. Oxford University Press, London. Y. Malhi, O. Phillips (Eds.).
15. Chave J., Coomes D., Jansen S., Lewis S.L., Swenson N.G., Zanne A.E. Towards a worldwide wood economics spectrum. Ecology Letters 2009, 12:351-366.
16. Clark D.B., Kellner J.R. Tropical forest biomass estimation and the fallacy of misplaced concreteness. Journal of Vegetation Science 2012, 23:1191-1196.
17. Colgan M.S., Asner G.P., Swemmer T. Harvesting tree biomass at the stand-level to assess the accuracy of field and airborne biomass estimation in savannas. Ecological Applications 2013, 23:1170-1184.
18. Drake J.B., Dubayah R.O., Clark D.B., Knox R.G., Blair J.B., Hofton M.A., et al. Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sensing of Environment 2002, 79:305-319.
19. Drake J.B., Knox R.G., Dubayah R.O., Clark D.B., Condit R., Blair J.B., et al. Above-ground biomass estimation in closed canopy neotropical forests using lidar remote sensing: Factors affecting the generality of relationships. Global Ecology and Biogeography 2003, 12:147-159.
20. Ene L.T., Naesset E., Gobakken T., Gregoire T.G., Stahl G., Nelson R. Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach. Remote Sensing of Environment 2012, 123:579-592.
21. Feldpausch T.R., Lloyd J., Lewis S.L., Brienen R.J.W., Gloor M., Monteagudo Mendoza A., et al. Tree height integrated into pantropical forest biomass estimates. Biogeosciences 2012, 9:3381-3403.
22. Gobakken T., Naesset E., Nelson R., Bollandsas O.M., Gregoire T.G., Stahl G., et al. Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning. Remote Sensing of Environment 2012, 123:443-456.
23. Goerndt M.E., Monleon V.J., Temesgen H. Relating forest attributes with area- and tree-based Light Detection and Ranging metrics for Western Oregon. Western Journal of Applied Forestry 2010, 25:105-111.
24. Goldberger A.S. The interpretation and estimation of Cobb-Douglas functions. Econometrica 1968, 36:464-472.
25. Gonzalez P., Asner G.P., Battles J.J., Lefsky M.A., Waring K.M., Palace M. Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California. Remote Sensing of Environment 2010, 114:1561-1575.
26. Harris N.L., Brown S., Hagen S.C., Saatchi S.S., Petrova S., Salas W., et al. Baseline map of carbon emissions from deforestation in tropical regions. Science 2012, 336:1573-1575.
27. Lefsky M.A. A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System. Geophysical Research Letters 2010, 37. 10.1029/2010GL043622.
28. Lefsky M.A., Cohen W.B., Harding D.J., Parker G.G., Acker S.A., Gower S.T. Lidar remote sensing of above-ground biomass in three biomes. Global Ecology and Biogeography 2002, 11:393-399.
29. Lefsky M.A., Harding D.J., Keller M., Cohen W.B., Carabajal C.C., Espirito-Santo F.D., et al. Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters 2005, 32:L22S02.
30. Magnussen S., Naesset E., Gobakken T., Frazer G. A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights. Scandinavian Journal of Forest Research 2012, 27:312-322.
31. Malhi Y., Wood D., Baker T.R., Wright J., Phillips O.L., Cochrane T., et al. The regional variation of aboveground live biomass in old-growth Amazonian forests. Global Change Biology 2006, 12:1107-1138.
32. Martin A.R., Thomas S.C. A reassessment of carbon content in tropical trees. PLoS ONE 2011, 6:e23533.
33. Mascaro J., Asner G.P., Muller-Landau H.C., Van Breugel M., Hall J., Dahlin K.M. Controls over aboveground forest carbon density on Barro Colorado Island, Panama. Biogeosciences 2011, 8:1615-1629.
34. Mascaro J., Detto M., Asner G.P., Muller-Landau H.C. Evaluating uncertainty in mapping forest carbon with airborne LiDAR. Remote Sensing of Environment 2011, 115:3770-3774.
35. McRoberts R.E., Næsset E., Gobakken T. Inference for lidar-assisted estimation of forest growing stock volume. Remote Sensing of Environment 2013, 128:268-275.
36. Muller-Landau H.C., Condit R.S., Chave J., Thomas S.C., Bohlman S.A., Bunyavejchewin S., et al. Testing metabolic ecology theory for allometric scaling of tree size, growth and mortality in tropical forests. Ecology Letters 2006, 9:575-588.
37. Næsset E. Effects of different sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data. Remote Sensing of Environment 2009, 113:148-159.
38. Næsset E., Gobakken T., Solberg S., Gregoire T.G., Nelson R., Stahl G., et al. Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area. Remote Sensing of Environment 2011, 115.
39. Niklas K.J. A phyletic perspective on the allometry of plant biomass-partitioning patterns and functionally equivalent organ-categories. New Phytologist 2006, 171:27-40.
40. Ni-Meister W., Lee S., Strahler A.H., Woodcock C.E., Schaaf C., Yao T., et al. Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing. Journal of Geophysical Research 2010, 115:G00E11.
41. Omasa K., Qiu G.Y., Watanuki K., Yoshimi K., Akiyama Y. Accurate estimation of forest carbon stocks by 3-D remote sensing of individual trees. Environmental Science & Technology 2003, 37:1198-1201.
42. Saatchi S.S., Harris N.L., Brown S., Lefsky M., Mitchard E.T.A., Salas W., et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences 2011, 108:9899-9904.
43. Stegen J.C., Swenson N.G., Valencia R., Enquist B.J., Thompson J. Above-ground forest biomass is not consistently related to wood density in tropical forests. Global Ecology and Biogeography 2009, 18:617-625.
44. ter Steege H., Pitman N.C.A., Phillips O.L., Chave J., Sabatier D., Duque A., et al. Continental-scale patterns of canopy tree composition and function across Amazonia. Nature 2006, 443:444-447.
45. West G.B., Brown J.H., Enquist B.J. A general model for the structure and allometry of plant vascular systems. Nature 1999, 400:664-667.
46. Wright S.J., Yavitt J.B., Wurzburger N., Turner B.L., Tanner E.V.J., Sayer E.J., et al. Potassium, phosphorus, or nitrogen limit root allocation, tree growth, or litter production in a lowland tropical forest. Ecology 2011, 92:321-330.
47. Zolkos S.G., Goetz S.J., Dubayah R. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sensing of Environment 2013, 128:289-298.