Biomass turnover time in terrestrial ecosystems halved by land use (original) (raw)

References

1. Bloom, A. A., Exbrayat, J.-F., Velde, I. R., van der Feng, L. & Williams, M. The decadal state of the terrestrial carbon cycle: global retrievals of terrestrial carbon allocation, pools, and residence times. Proc. Natl Acad. Sci. USA 113, 1285–1290 (2016).
   Article Google Scholar
2. Körner, C. Biosphere responses to CO2 enrichment. Ecol. Appl. 10, 1590–1619 (2000).
   Google Scholar
3. Odum, E. P. Fundamentals of Ecology Vol. 3 (Saunders, 1971).
   Google Scholar
4. Saugier, B., Roy, J. & Mooney, H. A. in Terrestrial Global Productivity (eds Roy, J., Saugier, B. & Mooney, H. A.) 543–557 (Academic, 2001).
   Book Google Scholar
5. Malhi, Y. The productivity, metabolism and carbon cycle of tropical forest vegetation. J. Ecol. 100, 65–75 (2012).
   Article Google Scholar
6. Körner, C. et al. Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2 . Science 309, 1360–1362 (2005).
   Article Google Scholar
7. Barrett, D. J. Steady state turnover time of carbon in the Australian terrestrial biosphere. Glob. Biogeochem. Cycles 16, 55 (2002).
   Article Google Scholar
8. Carvalhais, N. et al. Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature 514, 213–217 (2014).
   Article Google Scholar
9. Keeling, H. C. & Phillips, O. L. The global relationship between forest productivity and biomass. Glob. Ecol. Biogeogr. 16, 618–631 (2007).
   Article Google Scholar
10. Friend, A. D. et al. Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO2 . Proc. Natl Acad. Sci. USA 111, 3280–3285 (2014).
    Article Google Scholar
11. Negrón-Juárez, R. I., Koven, C. D., Riley, W. J., Knox, R. G. & Chambers, J. Q. Observed allocations of productivity and biomass, and turnover times in tropical forests are not accurately represented in CMIP5 Earth system models. Environ. Res. Lett. 10, 64017 (2015).
    Article Google Scholar
12. Delbart, N. et al. Mortality as a key driver of the spatial distribution of aboveground biomass in Amazonian forest: results from a dynamic vegetation model. Biogeosciences 7, 3027–3039 (2010).
    Article Google Scholar
13. Wang, W. et al. Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance. Glob. Change Biol. 17, 1367–1378 (2011).
    Article Google Scholar
14. Erb, K.-H. et al. A comprehensive global 5 min resolution land-use data set for the year 2000 consistent with national census data. J. Land Use Sci. 2, 191–224 (2007).
    Article Google Scholar
15. Haberl, H., Erb, K.-H. & Krausmann, F. Human appropriation of net primary production: patterns, trends, and planetary boundaries. Annu. Rev. Environ. Res. 39, 363–391 (2014).
    Article Google Scholar
16. Egglestone, H. S., Buendia, L., Miwa, K. & Ngara, T. IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme (IGES, 2006).
    Google Scholar
17. Körner, C. Paradigm shift in plant growth control. Curr. Opin. Plant Biol. 25, 107–114 (2015).
    Article Google Scholar
18. Galbraith, D. et al. Residence times of woody biomass in tropical forests. Plant Ecol. Diver. 6, 139–157 (2013).
    Article Google Scholar
19. Ahlström, A., Xia, J., Arneth, A., Luo, Y. & Smith, B. Importance of vegetation dynamics for future terrestrial carbon cycling. Environ. Res. Lett. 10, 54019 (2015).
    Article Google Scholar
20. Haberl, H. et al. Quantifying and mapping the human appropriation of net primary production in Earth’s terrestrial ecosystems. Proc. Natl Acad. Sci. USA 104, 12942–12947 (2007).
    Article Google Scholar
21. Krausmann, F. et al. Global human appropriation of net primary production doubled in the 20th century. Proc. Natl Acad. Sci. USA 110, 10324–10329 (2013).
    Article Google Scholar
22. Luyssaert, S. et al. Land management and land-cover change have impacts of similar magnitude on surface temperature. Nature Clim. Change 4, 389–393 (2014).
    Article Google Scholar
23. DeFries, R. Past and future sensitivity of primary production to human modification of the landscape. Geophys. Res. Lett. 29, 1132 (2002).
    Article Google Scholar
24. Pongratz, J., Reick, C., Raddatz, T. & Claussen, M. Effects of anthropogenic land cover change on the carbon cycle of the last millennium. Glob. Biogeochem. Cycles 23, GB4001 (2009).
    Article Google Scholar
25. Don, A., Schumacher, J. & Freibauer, A. Impact of tropical land-use change on soil organic carbon stocks—a meta-analysis. Glob. Change Biol. 17, 1658–1670 (2011).
    Article Google Scholar
26. Global Forest Resources Assessment 2010 Main Report (FAO, 2010).
27. Steffen, W., Broadgate, W., Deutsch, L., Gaffney, O. & Ludwig, C. The trajectory of the Anthropocene: the great acceleration. Anthrop. Rev. 2, 81–98 (2015).
    Article Google Scholar
28. Tilman, D., Balzer, C., Hill, J. & Befort, B. L. Global food demand and the sustainable intensification of agriculture. Proc. Natl Acad. Sci. USA 108, 20260–20264 (2011).
    Article Google Scholar
29. Campioli, M. et al. Biomass production efficiency controlled by management in temperate and boreal ecosystems. Nature Geosci. 8, 843–846 (2015).
    Article Google Scholar
30. Thurner, M. et al. Carbon stock and density of northern boreal and temperate forests. Glob. Ecol. Biogeogr. 23, 297–310 (2014).
    Article Google Scholar
31. Olson, D. M. et al. Terrestrial ecoregions of the world: a new map of life on Earth a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience 51, 933–938 (2001).
    Article Google Scholar
32. Luyssaert, S. et al. CO2 balance of boreal, temperate, and tropical forests derived from a global database. Glob. Change Biol. 13, 2509–2537 (2007).
    Article Google Scholar
33. Bond-Lamberty, B. & Thomson, A. A global database of soil respiration data. Biogeosciences 7, 1915–1926 (2010).
    Article Google Scholar
34. Noormets, A. et al. Effects of forest management on productivity and carbon sequestration: a review and hypothesis. Forest Ecol. Manag. 355, 124–140 (2015).
    Article Google Scholar
35. Michaletz, S. T., Cheng, D., Kerkhoff, A. J. & Enquist, B. J. Convergence of terrestrial plant production across global climate gradients. Nature 512, 39–43 (2014).
    Article Google Scholar
36. Fang, J. et al. Overestimated biomass carbon pools of the northern mid- and high latitude forests. Clim. Change 74, 355–368 (2006).
    Article Google Scholar
37. Brown, S. & Lugo, A. E. Biomass of tropical forests: a new estimate based on forest volumes. Science 223, 1290–1293 (1984).
    Article Google Scholar
38. Brown, S. Estimating Biomass and Biomass Change of Tropical Forests: A Primer (Food & Agriculture Org., 1997).
    Google Scholar
39. Bartholomé, E. & Belward, A. S. GLC2000: a new approach to global land cover mapping from Earth observation data. Int. J. Remote Sens. 26, 1959–1977 (2005).
    Article Google Scholar
40. Sanderson, E. W. et al. The human footprint and the last of the wild. BioScience 52, 891–904 (2002).
    Article Google Scholar
41. Statistical Databases (FAOSTAT, accessed 13 October 2014); http://faostat.fao.org
42. FAO Global Ecological Zoning for the Global Forest Resources Assessment, 2000 (Food and Agriculture Organization of the United Nations, 2001).
43. Ramankutty, N. & Foley, J. A. Estimating historical changes in global land cover: croplands from 1700 to 1992. Glob. Biogeochem. Cycles 13, 997–1027 (1999).
    Article Google Scholar
44. DiMiceli, C. M. et al. Vegetation Continuous Fields MOD44B 20011 Percent Tree Cover, Collection 5. (University of Maryland, accessed 10 October 2014); http://glcf.umd.edu/data/vcf
45. Lieth, H. Primary Productivity of the Biosphere 237–263 (Springer, 1975).
    Book Google Scholar
46. Bondeau, A. et al. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Glob. Change Biol. 13, 679–706 (2007).
    Article Google Scholar
47. Gerten, D., Schaphoff, S., Haberlandt, U., Lucht, W. & Sitch, S. Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model. J. Hydrol. 286, 249–270 (2004).
    Article Google Scholar
48. Sitch, S. et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Glob. Change Biol. 14, 2015–2039 (2008).
    Article Google Scholar
49. Ciais, P. et al. The European carbon balance. Part 2: croplands. Glob. Change Biol. 16, 1409–1428 (2010).
    Article Google Scholar
50. Krausmann, F., Erb, K.-H., Gingrich, S., Lauk, C. & Haberl, H. Global patterns of socioeconomic biomass flows in the year 2000: a comprehensive assessment of supply, consumption and constraints. Ecol. Econ. 65, 471–487 (2008).
    Article Google Scholar
51. Oldeman, L. R., Hakkeling, R. T. A. & Sombrock, W. G. World Map of the Status of Human—Induced Soil Degradation (ISRIC Wageningen, 1991).
    Google Scholar
52. Zika, M. & Erb, K. H. The global loss of net primary production resulting from human-induced soil degradation in drylands. Ecol. Econ. 69, 310–318 (2009).
    Article Google Scholar
53. Haberl, H. et al. Changes in ecosystem processes induced by land use: human appropriation of aboveground NPP and its influence on standing crop in Austria. Glob. Biogeochem. Cycles 15, 929–942 (2001).
    Article Google Scholar
54. O’Neill, D. W., Tyedmers, P. H. & Beazley, K. F. Human appropriation of net primary production (HANPP) in Nova Scotia, Canada. Reg. Environ. Change 7, 1–14 (2006).
    Article Google Scholar
55. Harmon, M. E., Ferrell, W. K. & Franklin, J. F. Effects on carbon storage of conversion of old-growth forests to young forests. Science 247, 699–702 (1990).
    Article Google Scholar
56. Ryan, M. G., Binkley, D. & Fownes, J. H. Age-related decline in forest productivity. Adv. Ecol. Res. 27, 213–262 (1997).
    Article Google Scholar
57. Zaehle, S. et al. The importance of age-related decline in forest NPP for modeling regional carbon balances. Ecol. Appl. 16, 1555–1574 (2006).
    Article Google Scholar
58. Saikku, L., Mattila, T., Akujärvi, A. & Liski, J. Human appropriation of net primary production in Finland during 1990–2010. Biomass Bioenergy 83, 559–567 (2015).
    Article Google Scholar
59. Larocque, G. R. Ecological Forest Management Handbook (CRC, 2016).
    Book Google Scholar
60. Olson, J. S., Watts, J. A. & Allison, L. J. Carbon in Live Vegetation of Major World Ecosystems (Oak Ridge National Laboratory, 1983).
    Google Scholar
61. Cannell, M. G. R. World Forest Biomass and Primary Production Data 67 (Academic, 1982).
    Google Scholar
62. Ajtay, G. L., Ketner, P. & Duvigneaud, P. The Global Carbon Cycle. SCOPE 13 129–182 (Wiley, 1979).
    Google Scholar
63. Ruesch, A. & Gibbs, H. K. New IPCC Tier-1 Global Biomass Carbon Map for the Year 2000 (Oak Ridge National Laboratory, accessed 15 January 2015); http://cdiac.ornl.gov/epubs/ndp/global_carbon/carbon_documentation.html
64. Amthor, J. S. et al. Boreal forest CO2 exchange and evapotranspiration predicted by nine ecosystem process models: intermodel comparisons and relationships to field measurements. J. Geophys. Res. 106, 33623–33648 (2001).
    Article Google Scholar
65. Gower, S. T. et al. Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada. J. Geophys. Res. 102, 29029–29041 (1997).
    Article Google Scholar
66. Jarvis, P. G., Saugier, B. & Schulze, E.-D. in Terrestrial Global Productivity (eds Roy, J., Saugier, B. & Mooney, H. A.) 211–244 (Academic, 2001).
    Book Google Scholar
67. Pan, Y. et al. A large and persistent carbon sink in the World’s forests. Science 333, 988–993 (2011).
    Article Google Scholar
68. Kauppi, P. E. New, low estimate for carbon stock in global forest vegetation based on inventory data. Silva Fenn. 37, 451–457 (2003).
    Article Google Scholar
69. MacDicken, K. G. Global Forest Resources Assessment 2015: What, why and how? Forest Ecol. Manag. 352, 3–8 (2015).
    Article Google Scholar
70. Clark, D. B. & Kellner, J. R. Tropical forest biomass estimation and the fallacy of misplaced concreteness. J. Veg. Sci. 23, 1191–1196 (2012).
    Article Google Scholar
71. Houghton, R. A., Lawrence, K. T., Hackler, J. L. & Brown, S. The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates. Glob. Change Biol. 7, 731–746 (2001).
    Article Google Scholar
72. Simard, M., Pinto, N., Fisher, J. B. & Baccini, A. Mapping forest canopy height globally with spaceborne lidar. J. Geophys. Res. 116, G04021 (2011).
    Article Google Scholar
73. Nogueira, E. M., Fearnside, P. M., Nelson, B. W., Barbosa, R. I. & Keizer, E. W. H. Estimates of forest biomass in the Brazilian Amazon: new allometric equations and adjustments to biomass from wood-volume inventories. Forest Ecol. Manag. 256, 1853–1867 (2008).
    Article Google Scholar
74. Feldpausch, T. R. et al. Tree height integrated into pantropical forest biomass estimates. Biogeosciences 9, 3381–3403 (2012).
    Article Google Scholar
75. Chave, J. et al. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Change Biol. 20, 3177–3190 (2014).
    Article Google Scholar
76. Lefsky, M. A. et al. Lidar remote sensing of above-ground biomass in three biomes. Global Ecol. Biogeogr. 11, 393–399 (2002).
    Article Google Scholar
77. Drake, J. B. et al. Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sens. Environ. 79, 305–319 (2002).
    Article Google Scholar
78. Asner, G. P. High-resolution forest carbon stocks and emissions in the Amazon. Proc. Natl Acad. Sci. USA 107, 16738–16742 (2010).
    Article Google Scholar
79. Mitchard, E. T. et al. Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps. Carbon Balance Manag. 8, 10 (2013).
    Article Google Scholar
80. Mitchard, E. T. A. et al. Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites. Glob. Ecol. Biogeogr. 23, 935–946 (2014).
    Article Google Scholar
81. Saatchi, S. et al. Seeing the forest beyond the trees. Glob. Ecol. Biogeogr. 24, 606–610 (2015).
    Article Google Scholar
82. Kindermann, G. E., McCallum, I., Fritz, S. & Obersteiner, M. A global forest growing stock, biomass and carbon map based on FAO statistics. Silva Fenn. 42, 387–396 (2008).
    Article Google Scholar
83. Bolin, B. in The Greenhouse Effect, Climatic Change, and Ecosystems. SCOPE 29 (eds Bolin, B., Döös, B. R., Jäger, J. & Warrick, R. A.) 93–155 (Wiley, 1986).
    Google Scholar
84. Pan, Y., Birdsey, R. A., Phillips, O. L. & Jackson, R. B. The structure, distribution, and biomass of the World’s forests. Annu. Rev. Ecol. Evol. Syst. 44, 593–622 (2013).
    Article Google Scholar
85. Baccini, A. et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Clim. Change 2, 182–185 (2012).
    Article Google Scholar
86. Saatchi, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl Acad. Sci. USA 108, 9899–9904 (2011).
    Article Google Scholar
87. Zhao, M., Heinsch, F. A., Nemani, R. R. & Running, S. W. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens. Environ. 95, 164–176 (2005).
    Article Google Scholar
88. West, P. C. et al. Trading carbon for food: global comparison of carbon stocks versus crop yields on agricultural land. Proc. Natl Acad. Sci. USA 107, 19645–19648 (2010).
    Article Google Scholar
89. Ang, B. W. The LMDI approach to decomposition analysis: a practical guide. Energy Policy 33, 867–871 (2005).
    Article Google Scholar

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