Large-scale climatic and geophysical controls on the leaf economics spectrum

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 28, 2016, Pages E4043-E4051

  Asner, Gregory P ^a   Knapp, David E ^a   Anderson, Christopher B ^a   Martin, Roberta E ^a   Vaughn, Nicholas ^a  

^a GEOPHYSICAL LABORATORY   (United States)

Author keywords

Amazon basin; Functional biogeography; Leaf traits; Plant traits; Tropical forests

Indexed keywords

NITROGEN; PHOSPHORUS;

ARTICLE; BIOGEOCHEMISTRY; BIOGEOGRAPHY; CLIMATE; ECOSYSTEM; FOREST; GEOLOGY; IMAGING; LEAF ECONOMICS SPECTRUM; PHOTOSYNTHESIS; PLANT ECOLOGY; PRIORITY JOURNAL; SPECTROSCOPY; THEORY; ALTITUDE; GEOGRAPHY; GROWTH, DEVELOPMENT AND AGING; METABOLISM; PERU; PLANT LEAF; REMOTE SENSING;

ALTITUDE; CLIMATE; FORESTS; GEOGRAPHY; PERU; PLANT LEAVES; REMOTE SENSING TECHNOLOGY;

EID: 84978062267     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1604863113     Document Type: Article

References (78)

1. Wright IJ, et al. (2004) The worldwide leaf economics spectrum. Nature 428(6985):821-827.
2. Finegan B, et al. (2015) Does functional trait diversity predict above-ground biomass and productivity of tropical forests? Testing three alternative hypotheses. J Ecol 103(1):191-201.
3. Santiago LS, Wright SJ (2007) Leaf functional traits of tropical forest plants in relation to growth form. Funct Ecol 21(1):19-27-.
4. Poorter H, Niinemets U, Poorter L, Wright IJ, Villar R (2009) Causes and consequences of variation in leaf mass per area (LMA): A meta-analysis. New Phytol 182(3):565-588.
5. Vitousek PM (1984) Litterfall, nutrient cycling, and nutrient limitation in tropical forests. Ecology 65(1):285-298.
6. Sakschewski B, et al. (2015) Leaf and stem economics spectra drive functional diversity in a dynamic global vegetation model. Glob Change Biol 21(7):2711-2725.
7. Moles AT, et al. (2014) Which is a better predictor of plant traits: temperature or precipitation? J Veg Sci 25(5):1167-1180.
8. Wright IJ, et al. (2005) Assessing the generality of global leaf trait relationships. New Phytol 166(2):485-496.
9. Schimel D, et al. (2015) Observing terrestrial ecosystems and the carbon cycle from space. Glob Change Biol 21(5):1762-1776.
10. Reich PB, Oleksyn J (2004) Global patterns of plant leaf N and P in relation to temperature and latitude. Proc Natl Acad Sci USA 101(30):11001-11006.
11. Kattge J, et al. (2011) TRY - A global database of plant traits. Glob Change Biol 17(9):2905-2935.
12. Townsend AR, Asner GP, Cleveland CC (2008) The biogeochemical heterogeneity of tropical forests. Trends Ecol Evol 23(8):424-431.
13. Kokaly RF, Asner GP, Ollinger SV, Martin ME, Wessman CA (2009) Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sens Environ 113:S78-S91.
14. Ustin SL, et al. (2009) Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens Environ 113:S67-S77.
15. Goetz AFH, Vane G, Solomon JE, Rock BN (1985) Imaging spectrometry for Earth remote sensing. Science 228(4704):1147-1153.
16. Asner GP, Martin RE, Anderson CB, Knapp DE (2015) Quantifying forest canopy traits: Imaging spectroscopy versus field survey. Remote Sens Environ 158:15-27.
17. Asner GP, et al. (2015) Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy. Nat Geosci 8(7):567-573.
18. Hoorn C, et al. (2010) Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity. Science 330(6006):927-931.
19. de Carvalho AL, et al. (2013) Bamboo-dominated forests of the southwest Amazon: Detection, spatial extent, life cycle length and flowering waves. PLoS One 8(1):e54852.
20. Asner GP, Martin RE (2011) Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest. New Phytol 189(4):999-1012.
21. Asner GP, et al. (2014) Amazonian functional diversity from forest canopy chemical assembly. Proc Natl Acad Sci USA 111(15):5604-5609.
22. Higgins MA, et al. (2011) Geological control of floristic composition in Amazonian forests. J Biogeogr 38(11):2136-2149.
23. Räsänen ME, Salo JS, Jungnert H, Pittman LR (1990) Evolution of the Western Amazon lowland relief: Impact of Andean foreland dynamics. Terra Nova 2(4):320-332.
24. Tanner EVJ, Vitousek PM, Cuevas E (1998) Experimental investigation of nutrient limitation of forest growth on wet tropical mountains. Ecology 79(1):10-23.
25. Adamek M, Corre MD, Hölscher D (2009) Early effect of elevated nitrogen input on above-ground net primary production of a lower montane rain forest, Panama. J Trop Ecol 25(6):637-647.
26. Fisher JB, et al. (2013) Nutrient limitation in rainforests and cloud forests along a 3,000-m elevation gradient in the Peruvian Andes. Oecologia 172(3):889-902.
27. Weintraub SR, et al. (2014) Topographic controls on soil nitrogen availability in a lowland tropical forest. Ecology 96(6):1561-1574.
28. Goodman RC, et al. (2013) Amazon palm biomass and allometry. For Ecol Manage 310:994-1004.
29. Körner C, Farquhar GD, Wong SC (1991) Carbon isotope discrimination by plants follows latitudinal and altitudinal trends. Oecologia 88(1):30-40.
30. Asner GP, et al. (2010) High-resolution forest carbon stocks and emissions in the Amazon. Proc Natl Acad Sci USA 107(38):16738-16742.
31. Metcalfe DB, et al. (2014) Herbivory makes major contributions to ecosystem carbon and nutrient cycling in tropical forests. Ecol Lett 17(3):324-332.
32. Halladay K, Malhi Y, New M (2012) Cloud frequency climatology at the Andes/Amazon transition: 1. Seasonal and diurnal cycles. J Geophys Res, D, Atmospheres 117(D23).
33. Lähteenoja O, et al. (2012) The large Amazonian peatland carbon sink in the subsiding Pastaza-Marañón foreland basin, Peru. Glob Change Biol 18(1):164-178.
34. Fyllas N, et al. (2009) Basin-wide variations in foliar properties of Amazonian forest: Phylogeny, soils and climate. Biogeosciences 6(11):2677-2708.
35. Quesada C, et al. (2009) Regional and large-scale patterns in Amazon forest structure and function are mediated by variations in soil physical and chemical properties. Biogeosciences 6(2):3993-4057.
36. Houlton BZ, Wang Y-P, Vitousek PM, Field CB (2008) A unifying framework for dinitrogen fixation in the terrestrial biosphere. Nature 454(7202):327-330.
37. Vitousek PM, Porder S, Houlton BZ, Chadwick OA (2010) Terrestrial phosphorus limitation: Mechanisms, implications, and nitrogen-phosphorus interactions. Ecol Appl 20(1):5-15.
38. Aranda I, Pardo F, Gil L, Pardos J (2004) Anatomical basis of the change in leaf mass per area and nitrogen investment with relative irradiance within the canopy of eight temperate tree species. Acta Oecol 25(3):187-195.
39. Ellsworth DS, Reich PB (1993) Canopy structure and vertical patterns of photosynthesis and related leaf traits in a deciduous forest. Oecologia 96(2):169-178.
40. Cordell S, Goldstein G, Meinzer FC, Handley LL (1999) Allocation of nitrogen and carbon in leaves of Metrosideros polymorpha regulates carboxylation capacity and delta 13C along an altitudinal gradient. Funct Ecol 13(6):811-818.
41. Körner C, Bannister P, Mark AF (1986) Altitudinal variation in stomatal conductance, nitrogen content and leaf anatomy in different plant life forms in New Zealand. Oecologia 69(4):577-588.
42. Gentry AH (1988) Changes in plant community diversity and floristic composition on environmental and geographical gradients. Ann Mo Bot Gard 75(1):1-34.
43. Vitousek PM, Denslow JS (1986) Nitrogen and phosphorus availability in treefall gaps of a lowland tropical rainforest. J Ecol 74:1167-1178.
44. McGroddy ME, Daufresne T, Hedin LO (2004) Scaling of C:N:P stoichiometry in forests worldwide: Implications of terrestrial Redfield-type ratios. Ecology 85(9):2390-2401.
45. Reich PB, Schoettle AW (1988) Role of phosphorus and nitrogen in photosynthetic and whole plant carbon gain and nutrient use efficiency in eastern white pine. Oecologia 77(1):25-33.
46. Niinemets U, Kull K (2003) Leaf structure vs. nutrient relationships vary with soil conditions in temperate shrubs and trees. Acta Oecol 24(4):209-219.
47. Townsend AR, Cleveland CC, Asner GP, Bustamante MMC (2007) Controls over foliar N:P ratios in tropical rain forests. Ecology 88(1):107-118.
48. Chadwick KD, Asner GP (2016) Tropical soil nutrient distributions determined by biotic and hillslope processes. Biogeochemistry 127(2):1-17.
49. Wright SJ, et al. (2011) Potassium, phosphorus, or nitrogen limit root allocation, tree growth, or litter production in a lowland tropical forest. Ecology 92(8):1616-1625.
50. Townsend AR, Cleveland CC, Houlton BZ, Alden CB, White JW (2011) Multi-element regulation of the tropical forest carbon cycle. Front Ecol Environ 9(1):9-17.
51. Reich PB, Oleksyn J, Wright IJ (2009) Leaf phosphorus influences the photosynthesis-nitrogen relation: A cross-biome analysis of 314 species. Oecologia 160(2):207-212.
52. Doughty C, Asner G, Martin R (2011) Predicting tropical plant physiology from leaf and canopy spectroscopy. Oecologia 165(2):289-299.
53. 3 plants. Oecologia 78(1):9-19.
54. Field C, Mooney HA (1986) The photosynthesis-nitrogen relationship in wild plants. On the Economy of Plant Form and Function, ed Givnish TJ (Cambridge Univ Press, Cambridge, UK), pp 25-55.
55. Violle C, Reich PB, Pacala SW, Enquist BJ, Kattge J (2014) The emergence and promise of functional biogeography. Proc Natl Acad Sci USA 111(38):13690-13696.
56. Baldeck C, Tupayachi R, Sinca F, Jaramillo N, Asner G (2015) Environmental drivers of tree community turnover in western Amazonian forests. Ecography.
57. Hubbell SP (2001) The Unified Neutral Theory of Biodiversity and Biogeography (Princeton Univ Press, Princeton).
58. Read QD, Moorhead LC, Swenson NG, Bailey JK, Sanders NJ (2014) Convergent effects of elevation on functional leaf traits within and among species. Funct Ecol 28(1):37-45.
59. Cleveland CC, et al. (2011) Relationships among net primary productivity, nutrients and climate in tropical rain forest: A pan-tropical analysis. Ecol Lett 14(9):939-947.
60. Schimel DS, Asner GP, Moorcroft PR (2013) Observing changing ecological diversity in the Anthropocene. Front Ecol Environ 11(3):129-137.
61. Moorcroft PR (2006) How close are we to a predictive science of the biosphere? Trends Ecol Evol 21(7):400-407.
62. Asner GP, et al. (2012) Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124(0):454-465.
63. INGEMMET (2000) Mapa Geologico del Peru (Instituto Geologico Minero y Metalurgico, Lima).
64. Asner GP, et al. (2014) Targeted carbon conservation at national scales with high-resolution monitoring. Proc Natl Acad Sci USA 111(47):E5016-E5022.
65. Asner GP, et al. (2007) Carnegie Airborne Observatory: In-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems. J Appl Remote Sens 1:013536.
66. Colgan MS, Baldeck CA, Féret J-B, Asner GP (2012) Mapping savanna tree species at ecosystem scales using support vector machine classification and BRDF correction on airborne hyperspectral and LiDAR data. Remote Sens 4(11):3462-3480.
67. Feilhauer H, Asner GP, Martin RE, Schmidtlein S (2010) Brightness-normalized partial least squares regression for hyperspectral data. J Quant Spectrosc Radiat Transf 111:1947-1957.
68. Asner GP, et al. (2011) Spectroscopy of canopy chemicals in humid tropical forests. Remote Sens Environ 115(12):3587-3598.
69. Haaland DM, Thomas EV (1988) Partial least-squares methods for spectral Analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Anal Chem 60(11):1193-1202.
70. Boulesteix A-L, Strimmer K (2007) Partial least squares: A versatile tool for the analysis of high-dimensional genomic data. Brief Bioinform 8(1):32-44.
71. Martens H (2001) Reliable and relevant modelling of real world data: A personal account of the development of PLS Regression. Chemom Intell Lab Syst 58(2):85-95.
72. Breiman L (2001) Random forests. Mach Learn 45(1):5-32.
73. Evans JS, Murphy MA, Holden ZA, Cushman SA (2011) Modeling species distribution and change using random forest. Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications, eds Drew CA, Wiersma YF, Huettmann F (Springer Science, New York), pp 139-159.
74. Baccini A, et al. (2012) Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat Clam Change 2(3):182-185.
75. Mascaro J, et al. (2014) A tale of two "forests": Random forest machine learning AIDS tropical forest carbon mapping. PLoS One 9(1):e85993.
76. NASA Land Processes Distributed Active Archive CenterDAAC (2011) MOD09A1. (USGS Earth Resources Observation and Science, Sioux Falls, SD).
77. Cimmery V (2010) User Guide for SAGA (version 2.0.5). Available at www.saga-gis.org. Accessed June 22, 2016.
78. Asner GP, Knapp DE, Balaji A, Paez-Acosta G (2009) Automated mapping of tropical deforestation and forest degradation: CLASlite. J Appl Remote Sens 3:033543.