An integrated pan-tropical biomass map using multiple reference datasets

Global Change Biology

Volumn 22, Issue 4, 2016, Pages 1406-1420

  Avitabile, Valerio ^a   Herold, Martin ^a   Heuvelink, Gerard B M ^a   Lewis, Simon L ^b,c   Phillips, Oliver L ^b   Asner, Gregory P ^d   Armston, John ^e,f   Ashton, Peter S ^g,h   Banin, Lindsay ⁱ   Bayol, Nicolas ^j   Berry, Nicholas J ^k   Boeckx, Pascal ^l   de Jong, Bernardus H J ^m   Devries, Ben ^a   Girardin, Cecile A J ⁿ   Kearsley, Elizabeth ^l,o   Lindsell, Jeremy A ^p   Lopez Gonzalez, Gabriela ^b   Lucas, Richard ^q   Malhi, Yadvinder ⁿ   Morel, Alexandra ⁿ   Mitchard, Edward T A ^k   Nagy, Laszlo ^r   Qie, Lan ^b   Quinones, Marcela J ^s   Ryan, Casey M ^k   Ferry, Slik J W ^t   Sunderland, Terry ^u   Laurin, Gaia Vaglio ^v   Gatti, Roberto Cazzolla ^v   Valentini, Riccardo ^w   Verbeeck, Hans ^l   Wijaya, Arief ^u   Willcock, Simon ^x   more..

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d GEOPHYSICAL LABORATORY   (United States)

^e UNIVERSITY OF QUEENSLAND   (Australia)

^f DEPARTMENT OF ENVIRONMENT AND RESOURCE MANAGEMENT   (Australia)

^g HARVARD UNIVERSITY   (United States)

^h ROYAL BOTANIC GARDENS   (United Kingdom)

ⁱ CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^j FRM Ingenierie   (France)

^k UNIVERSITY OF EDINBURGH   (United Kingdom)

^l GHENT UNIVERSITY   (Belgium)

^m EL COLEGIO DE LA FRONTERA SUR   (Mexico)

ⁿ UNIVERSITY OF OXFORD   (United Kingdom)

^o ROYAL MUSEUM FOR CENTRAL AFRICA   (Belgium)

^p RSPB CENTRE FOR CONSERVATION SCIENCE   (United Kingdom)

^q UNIVERSITY OF NEW SOUTH WALES   (Australia)

^r UNIVERSITY OF CAMPINAS   (Brazil)

^s SarVision   (Netherlands)

^t UNIVERSITI BRUNEI DARUSSALAM   (Brunei Darussalam)

^u CENTER FOR INTERNATIONAL FORESTRY RESEARCH   (Indonesia)

^v Forests and Ecosystem Services   (Italy)

^w UNIVERSITY OF TUSCIA   (Italy)

^x UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

more..

Author keywords

Aboveground biomass; Carbon cycle; Forest inventory; Forest plots; REDD+; Remote sensing; Satellite mapping; Tropical forest

Indexed keywords

BIOMASS; CARBON CYCLE; CLIMATE CHANGE; DATA SET; FOREST INVENTORY; MAPPING; POLLUTION CONTROL; TROPICAL FOREST;

AMAZONIA; CENTRAL AMERICA; CONGO BASIN; SOUTHEAST ASIA;

BIOMASS; INFORMATION PROCESSING; MAP; THEORETICAL MODEL; TREE; TROPIC CLIMATE;

BIOMASS; DATASETS AS TOPIC; MAPS AS TOPIC; MODELS, THEORETICAL; TREES; TROPICAL CLIMATE;

EID: 84959251307     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.13139     Document Type: Article

References (64)

1. Achard F, Beuchle R, Mayaux P et al. (2014) Determination of tropical deforestation rates and related carbon losses from 1990 to 2010. Global Change Biology, 20, 2540-2554.
2. Asner GP, Mascaro J (2014b) Mapping tropical forest carbon: calibrating plot estimates to a simple LiDAR metric. Remote Sensing of Environment, 140, 614-624.
3. Asner GP, Rudel TK, Aide TM, DeFries R, Emerson R (2009) A contemporary assessment of change in humid tropical forests. Conservation Biology, 23, 1386-1395.
4. Asner GP, Powell GVN, Mascaro J et al. (2010) High-resolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Sciences of the United States of America, 107, 16738-16742.
5. Asner GP, Clark JK, Mascaro J et al. (2012a) High-resolution mapping of forest carbon stocks in the Colombian Amazon. Biogeosciences, 9, 2683-2696.
6. Asner GP, Clark JK, Mascaro J et al. (2012b) Human and environmental controls over aboveground carbon storage in Madagascar. Carbon Balance and Management, 7, 2.
7. Asner GP, Mascaro J, Anderson C et al. (2013) High-fidelity national carbon mapping for resource management and REDD+. Carbon Balance and Management, 8, 7.
8. Asner GP, Knapp DE, Martin RE et al. (2014a) Targeted carbon conservation at national scales with high-resolution monitoring. Proceedings of the National Academy of Sciences of the United States of America, 111, E5016-E5022.
9. Avitabile V, Herold M, Henry M, Schmullius C (2011) Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda. Carbon Balance and Management, 6, 7.
10. Avitabile V, Baccini A, Friedl MA, Schmullius C (2012) Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda. Remote Sensing of Environment, 117, 366-380.
11. Baccini A, Asner GP (2013) Improving pantropical forest carbon maps with airborne LiDAR sampling. Carbon Management, 4, 591-600.
12. Baccini A, Goetz SJ, Walker WS et al. (2012) Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2, 182-185.
13. Baker T, Phillips O, Malhi Y et al. (2004) Variation in wood density determines spatial patterns in Amazonian forest biomass. Global Change Biology, 10, 545-562.
14. Bartholomé E, Belward AS (2005) GLC2000: a new approach to global land cover mapping from Earth observation data. International Journal of Remote Sensing, 26, 1959-1977.
15. Bates JM, Granger CWJ (1969) The Combination of Forecasts. Journal of the Operational Research Society, 20, 451-468.
16. Birdsey R, Angeles-Perez G, Kurz WA et al. (2013) Approaches to monitoring changes in carbon stocks for REDD+. Carbon Management, 4, 519-537.
17. Breiman L (2001) Random forests. Machine Learning, 45, 5-23.
18. Calders K, Newnham G, Burt A et al. (2015) Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution, 6, 198-208.
19. Cartus O, Kellndorfer J, Walker W, Franco C, Bishop J, Santos L, Michel-Fuentes JM (2014) A national, detailed map of forest aboveground carbon stocks in Mexico. Remote Sensing, 6, 5559-5588.
20. Chave J, Olivier J, Bongers F et al. (2008) Above-ground biomass and productivity in a rain forest of eastern South America. Journal of Tropical Ecology, 24, 355-366.
21. Di Miceli CM, Carroll ML, Sohlberg RA et al. (2011) Annual Global Automated MODIS Vegetation Continuous Fields (MOD44B) at 250 m Spatial Resolution for Data Years Beginning Day 65, 2000-2010, Collection 5 Percent Tree Cover. University of Maryland, College Park, MD, USA.
22. Durán SM, Gianoli E (2013) Carbon stocks in tropical forests decrease with liana density. Biology Letters, 9, 20130301.
23. ESA (2014a) Global land cover map for the epoch 2005. Available at: http://www.esa-landcover-cci.org/ (accessed 9 July 2015)
24. ESA (2014b) Global Water Bodies. Available at: http://www.esa-landcover-cci.org/ (accessed 9 July 2015).
25. FAO (2000) Global ecological zoning for the global forest resources assessment 2000. FAO FRA Working Paper Rome, Italy; 2001.
26. Feldpausch TR, Banin L, Phillips OL et al. (2011) Height-diameter allometry of tropical forest trees. Biogeosciences, 8, 1081-1106.
27. Feldpausch TR, Lloyd J, Lewis SL et al. (2012) Tree height integrated into pantropical forest biomass estimates. Biogeosciences, 9, 3381-3403.
28. Ge Y, Avitabile V, Heuvelink GBM, Wang J, Herold M (2014) Fusion of pan-tropical biomass maps using weighted averaging and regional calibration data. International Journal of Applied Earth Observation and Geoinformation, 31, 13-24.
29. Goetz S, Dubayah R (2011) Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change. Carbon Management, 2, 231-244.
30. Gonzalez de Tanago J, Bartholomeus H, Joseph S et al. (2015) Terrestrial LiDAR and 3D tree Quantitative Structure Model for quantification of aboveground biomass loss from selective logging in a tropical rainforest of Peru. In: Proceedings of Silvilaser 2015 Conference. La Grande Motte, France. 28-30 September 2015.
31. Grace J, Mitchard E, Gloor E (2014) Perturbations in the carbon budget of the tropics. Global Change Biology, 10, 3238-3255.
32. Harris NL, Brown S, Hagen SC et al. (2012) Baseline map of carbon emissions from deforestation in tropical regions. Science, 336, 1573-1576.
33. Hill TC, Williams M, Bloom A, Mitchard ET, Ryan CM (2013) Are inventory based and remotely sensed above-ground biomass estimates consistent? PLoS ONE, 8, 1-8.
34. Houghton RA, House JI, Pongratz J et al. (2012) Carbon emissions from land use and land-cover change. Biogeosciences, 9, 5125-5142.
35. IPCC (2003) Good Practice Guidance for Land Use, Land-Use Change and Forestry. IPCC National Greenhouse Gas Inventories Programme, Technical Support Unit. Institute for Global Environmental Strategies, Hayama, Japan.
36. IPCC (2006) Volume 4, Agriculture, forestry and other land use. In: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme. (eds Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K), pp. 4.1-4.83. IGES, Hayama, Japan.
37. Kearsley E, de Haulleville T, Hufkens K et al. (2013) Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin. Nature Communications, 4, 2269.
38. Langner A, Achard F, Grassi G (2014) Can recent pan-tropical biomass maps be used to derive alternative Tier 1 values for reporting REDD+ activities under UNFCCC? Environmental Research Letters, 9, 124008.
39. Lewis SL, Lopez-Gonzalez G, Sonké B et al. (2009) Increasing carbon storage in intact African tropical forests. Nature, 457, 1003-1006.
40. Lewis SL, Sonké B, Sunderland T et al. (2013) Above-ground biomass and structure of 260 African tropical forests. Philosophical transactions of the Royal Society of London. Series B, Biological Sciences, 368, 20120295.
41. Malhi Y, Wood D, Baker TR et al. (2006) The regional variation of aboveground live biomass in old-growth Amazonian forests. Global Change Biology, 12, 1107-1138.
42. Mitchard ET, Saatchi SS, Baccini A, Asner GP, Goetz SJ, Harris NL, Brown S (2013) Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps. Carbon Balance and Management, 8, 10.
43. Mitchard ET, Feldpausch TR, Brienen RJW et al. (2014) Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites. Global Ecology and Biogeography, 23, 935-946.
44. Nogueira MA, Diaz G, Andrioli W, Falconi FA, Stangarlin Jr. (2006) Secondary metabolites from Diplodia maydis and Sclerotium rolfsii with antibiotic activity. Brazilian Journal of Microbiology, 37, 14-16.
45. Pan Y, Birdsey RA, Fang J et al. (2011) A large and persistent carbon sink in the world's forests. Science, 333, 988-993.
46. Pearson TRH, Brown S, Casarim FM (2014) Carbon emissions from tropical forest degradation caused by logging. Environmental Research Letters, 034017, 11.
47. Phillips OL, Lewis SL (2014) Evaluating the tropical forest carbon sink. Global Change Biology, 20, 2039-2041.
48. Phillips OL, Vásquez Martínez R, Arroyo L et al. (2002) Increasing dominance of large lianas in Amazonian forests. Nature, 418, 770-774.
49. Phillips OL, Malhi Y, Higuchi N et al. (1998) Changes in the carbon balance of Tropical Forests: evidence from long-term plots. Science, 282, 439-442.
50. Phillips OL, Aragão LEOC, Lewis SL et al. (2009) Drought sensitivity of the Amazon Rainforest. Science, 323, 1344-1347.
51. Potapov P, Yaroshenko A, Turubanova S et al. (2008) Mapping the world's intact forest landscapes by remote sensing. Ecology and Society, 13, 51.
52. Romijn E, Herold M, Kooistra L, Murdiyarso D, Verchot L (2012) Assessing capacities of non-Annex I countries for national forest monitoring in the context of REDD+. Environmental Science and Policy, 19-20, 33-48.
53. Saatchi SS, Harris NL, Brown S et al. (2011) Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences of the United States of America, 108, 9899-9904.
54. Saatchi SS, Mascaro J, Xu L et al. (2014) Seeing the forest beyond the trees. Global Ecology & Biogeography, 23, 935-946.
55. Schnitzer SA, Bongers F (2011) Increasing liana abundance and biomass in tropical forests: emerging patterns and putative mechanisms. Ecology Letters, 14, 397-406.
56. Searle SR (1971) Linear Models, vol. XXI. WILEY-VCH Verlag, York-London-Sydney-Toronto.
57. Simard M, Pinto N, Fisher JB, Baccini A (2011) Mapping forest canopy height globally with spaceborne lidar. Journal of Geophysical Research: Biogeosciences, 116, 1-12.
58. Slik JWF, Aiba SI, Brearley FQ et al. (2010) Environmental correlates of tree biomass, basal area, wood specific gravity and stem density gradients in Borneo's tropical forests. Global Ecology and Biogeography, 19, 50-60.
59. Slik JWF, Paoli G, Mcguire K et al. (2013) Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. Global Ecology and Biogeography, 22, 1261-1271.
60. Ter Steege H, Pitman NCA, Phillips OL et al. (2006) Continental-scale patterns of canopy tree composition and function across Amazonia. Nature, 443, 444-447.
61. Wang J, Zamar R, Marazzi A et al. (2014) robust: Robust Library. R package version 0.4-16. Available at: http://CRAN.R-project.org/package=robust (accessed 9 July 2015).
62. Willcock S, Phillips OL, Platts PJ et al. (2012) Towards regional, error-bounded landscape carbon storage estimates for data-deficient areas of the world. PLoS ONE, 7, 1-10.
63. Ziegler AD, Phelps J, Yuen JQ et al. (2012) Carbon outcomes of major land-cover transitions in SE Asia: great uncertainties and REDD+ policy implications. Global Change Biology, 18, 3087-3099.
64. Zolkos SG, Goetz SJ, Dubayah R (2013) A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sensing of Environment, 128, 289-298.