Organismic-scale remote sensing of canopy foliar traits in lowland tropical forests

Remote Sensing

Volumn 8, Issue 2, 2016, Pages

  Dana Chadwick, K ^a   Asner, Gregory P ^b  

^a GEOPHYSICAL LABORATORY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Carnegie airborne observatory; Foliar chemistry; Functional diversity; Functional traits; Hyperspectral; Imaging spectroscopy; Rock derived nutrients

Indexed keywords

ECOLOGY; ECOSYSTEMS; NUTRIENTS; OBSERVATORIES; REMOTE SENSING; TROPICS;

CARNEGIE AIRBORNE OBSERVATORIES; FOLIAR CHEMISTRY; FUNCTIONAL DIVERSITY; FUNCTIONAL TRAITS; HYPERSPECTRAL; IMAGING SPECTROSCOPY;

FORESTRY;

EID: 84962620129     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8020087     Document Type: Article

References (46)

1. Violle,C.; Reich, P.B.; Pacala, S.W.; Enquist, B.J.; Kattge, J. The emergence and promise of functional biogeography. Proc. Natl. Acad. Sci. USA 2014, 111, 13690-13696.
2. Malhi, Y.; Grace, J. Tropical forests and atmospheric carbon dioxide. Trends Ecol. Evol. 2000, 15, 332-337.
3. 2 on the terrestrial carbon cycle. Proc. Natl. Acad. Sci. USA 2015, 112, 436-441.
4. Townsend, A.R.; Asner, G.P.; Cleveland, C.C. The biogeochemical heterogeneity of tropical forests. Trends Ecol. Evol. 2008, 23, 424-431.
5. Kokaly, R.F.; Asner, G.P.; Ollinger, S.V.; Martin, M.E.;Wessman, C.A. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sens. Environ. 2009, 113, S78-S91.
6. Ollinger, S.V. Sources of variability in canopy reflectance and the convergent properties of plants. New Phytol. 2011, 189, 375-394.
7. Asner, G.P.; Martin, R.E.; Knapp, D.E.; Tupayachi, R.; Anderson, C.; Carranza, L.; Martinez, P.; Houcheime, M.; Sinca, F.;Weiss, P. Spectroscopy of canopy chemicals in humid tropical forests. Remote Sens. Environ. 2011, 115, 3587-3598.
8. Asner, G.P.; Martin, R.E.; Tupayachi, R.; Emerson, R.; Martinez, P.; Sinca, F.; Powell, G.V.N.; Wright, S.J.; Lugo, A.E. Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests. Ecol. Appl. 2011, 21, 85-98.
9. Feilhauer, H.; Asner, G.P.; Martin, R.E.; Schmidtlein, S. Brightness-normalized Partial Least Squares Regression for hyperspectral data. J. Quant. Spectrosc. Radiat. Transf. 2010, 111, 1947-1957.
10. Feilhauer, H.; Asner, G.P.; Martin, R.E. Multi-method ensemble selection of spectral bands related to leaf biochemistry. Remote Sens. Environ. 2015, 164, 57-65.
11. Asner, G.P.; Martin, R.E.; Anderson, C.B.; Knapp, D.E. Quantifying forest canopy traits: Imaging spectroscopy versus field survey. Remote Sens. Environ. 2015, 158, 15-27.
12. Asner, G.P.; Anderson, C.B.;Martin, R.E.; Tupayachi, R.; Knapp, D.E.; Sinca, F. Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy. Nat. Geosci. 2015, 8, 567-573.
13. Reich, P.B.;Walters, M.B.; Ellsworth, D.S. Leaf life-span in relation to leaf, plant, and stand characteristics among diverse ecosystems. Ecol. Monogr. 1992, 62, 365-392.
14. Wright, I.J.; Reich, P.B.;Westoby, M.; Ackerly, D.D.; Baruch, Z.; Bongers, F.; Cavender-Bares, J.; Chapin, T.; Cornelissen, J.H.C.; Diemer, M.; et al. The worldwide leaf economics spectrum. Nature 2004, 428, 821-827.
15. Demarty,M.; Morvan, C.; Thellier,M. Calcium and the cell wall. Plant Cell Environ. 1984, 7, 441-448.
16. McLaughlin, S.B.;Wimmer, R. Calcium physiology and terrestrial ecosystem processes. New Phytol. 1999, 142, 373-417.
17. Vitousek, P.M. Litterfall, nutrient cycling, and nutrient limitation in tropical forests. Ecology 1984, 65, 285-298.
18. Cuevas, E.; Medina, E. Nutrient dynamics within Amazonian forests. Oecologia 1988, 76, 222-235.
19. Kaspari, M.; Garcia, M.; Harms, K. Multiple nutrients limit litterfall and decomposition in a tropical forest. Ecology 2008, 11, 35-43.
20. Townsend, A.R.; Cleveland, C.C.; Houlton, B.Z.; Alden, C.B.; White, J.W. Multi-element regulation of the tropical forest carbon cycle. Front. Ecol. Environ. 2011, 9, 9-17.
21. Wright, S.J.; Yavitt, J.B.;Wurzburger, N.; Turner, B.L.; Tanner, E.V.J.; Sayer, E.J.; Santiago, L.S.; Kaspari, M.; Hedin, L.O.; Harms, K.E.; et al. Potassium, phosphorus, or nitrogen limit root allocation, tree growth, or litter production in a lowland tropical forest. Ecology 2011, 92, 1616-1625.
22. Koerselman, W.; Meuleman, A.F.M. The Vegetation N:P Ratio: A New Tool to Detect the Nature of Nutrient Limitation. J. Appl. Ecol. 1996, 33, 1441-1450.
23. Güsewell, S. N:P Ratios in Terrestrial Plants: Variation and Functional Significance. New Phytol. 2004, 164, 243-266.
24. Rigsby, C.A.; Hemric, E.M.E.; Baker, P.A. Late Quaternary Paleohydrology of the Madre de Dios River, southwestern Amazon Basin, Peru. Geomorphology 2009, 113, 158-172.
25. Osher, L.J.; Buol, S.W. Relationship of soil properties to parent material and landscape position in eastern Madre de Dios, Peru. Geoderma 1998, 83, 143-166.
26. Asner, G.P.; Martin, R.E. Airborne spectranomics: Mapping canopy chemical and taxonomic diversity in tropical forests. Front. Ecol. Environ. 2009, 7, 269-276.
27. Asner, G.P.; Martin, R.E. Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest. New Phytol. 2011, 189, 999-1012.
28. Asner, G.P.; Martin, R.E.; Tupayachi, R.; Anderson, C.B.; Sinca, F.; Carranza-Jimenez, L.; Martinez, P.; Carranza-Jiménez, L.; Martinez, P. Amazonian functional diversity from forest canopy chemical assembly. Proc. Natl. Acad. Sci. USA 2014, 111, 5604-5609.
29. Carnegie Spectranomics. Available online: http://spectranomics.ciw.edu (accessed on 19 January 2016).
30. Stanford Environmental Measurements Facility. Available online: http://em1.stanford.edu (accessed on 19 January 2016).
31. Asner, G.P.; Knapp, D.E.; Boardman, J.; Green, R.O.; Kennedy-Bowdoin, T.; Eastwood, M.; Martin, R.E.; Anderson, C.; Field, C.B. Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sens. Environ. 2012, 124, 454-465.
32. Asner, G.; Martin, R. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels. Remote Sens. Environ. 2008, 112, 3958-3970.
33. Asner, G.P.; Knapp, D.E.; Kennedy-Bowdoin, T.; Jones, M.O.; Martin, R.E.; Boardman, J.; Field, C.B. 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. 2007, 1.
34. Wold, S.; Sjöström, M.; Eriksson, L. PLS-regression: A basic tool of chemometrics. Chemom. Intell. Lab. Syst. 2001, 58, 109-130.
35. RDC Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing:Vienna, Austria, 2012.
36. Schmidtlein, S.; Feilhauer, H.; Bruelheide, H. Mapping plant strategy types using remote sensing. J. Veg. Sci. 2012, 23, 395-405.
37. Piñeiro, G.; Perelman, S.; Guerschman, J.P.; Paruelo, J.M. How to evaluate models: Observed vs. predicted or predicted vs. observed? Ecol. Model. 2008, 216, 316-322.
38. Salo, J.S.; Kalliola, R.; Häkkinen, I.; Mäkinen, Y.; Niemelä, P.; Puhakka, M.; Coley, P.D. River dynamics and the diversity of Amazon lowland forest. Nature 1986, 322, 254-258.
39. Puhakka, M.; Kalliola, R.; Rajasilta, M.; Salo, J. River Types, Site Evolution and Successional Vegetation Patterns in Peruvian Amazonia. J. Biogeogr. 1992, 19, 651-665.
40. Pitman, N.C.A. An Overview of the Los Amigos Watershed, Madre de Dios, Southeastern Peru; Draft Report; Amazon Conservation Association: Washington, DC, USA, 2010.
41. Chadwick, K.D.; Asner, G.P. Tropical soil nutrient distributions determined by biotic and hillslope processes. Biogeochemistry 2016.
42. Fyllas, N.M.; Patiño, S.; Baker, T.R.; Nardoto, G.B.; Martinelli, L.A.; Quesada, C.A.; Paiva, R.; Schwarz, M.; Horna, V.; Mercado, L.M.; et al. Basin-wide variations in foliar properties of Amazonian forest: Phylogeny, soils and climate. Biogeosciences 2009, 6, 2677-2708.
43. Townsend, P.A.; Serbin, S.P.; Kruger, E.L.; Gamon, J.A. Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data. Proc. Natl. Acad. Sci. USA 2013, 110.
44. Knyazikhin, Y.; Schull, M.A.; Stenberg, P.; Mõttus, M.; Rautiainen, M.; Yang, Y.; Marshak, A.; Latorre Carmona, P.; Kaufmann, R.K.; Lewis, P.; et al. Hyperspectral remote sensing of foliar nitrogen content. Proc. Natl. Acad. Sci. USA 2013, 110.
45. Phillips, O.L.; Vargas, P.N.; Lorenzo, A.; Cruz, A.P.; Chuspe, M.; Sánchez,W.G.; Yli-halla, M.; Rose, S.A.M. Habitat association among Amazonian tree species: A landscape-scale approach. J. Ecol. 2003, 91, 757-775.
46. Asner, G.P. Organismic Remote Sensing for Tropical Forest Ecology and Conservation. Ann. Mo. Bot. Gard. 2015, 100, 127-140.