82
Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin
T, Cornelissen JHC, Diemer M, et al. (2004) The worldwide leaf economics spectrum. Nature
428(6985):821–827
Wu J, Albert LP, Lopes AP, Restrepo-Coupe N, Hayek M, Wiedemann KT, Guan K, Stark SC,
Christoffersen B, Prohaska N, Tavares JV, Marostica S, Kobayashi H, Ferreira ML, Campos
KS, da Silva R, Brando PM, Dye DG, Huxman TE, Huete AR, Nelson BW, Saleska SR (2016)
Leaf development and demography explain photosynthetic seasonality in Amazon evergreen
forests. Science 351:972–976
Wu J, Chavana-Bryant C, Prohaska N, Serbin SP, Guan K, Albert LP, Yang X, Leeuwen WJD,
Garnello AJ, Martins G, Malhi Y, Gerard F, Oliviera RC, Saleska SR (2017) Convergence in
relationships between leaf traits, spectra and age across diverse canopy environments and two
contrasting tropical forests. New Phytol 214:1033–1048
Wullschleger SD, Epstein HE, Box EO, Euskirchen ES, Goswami S, Iversen CM, Kattge J, Norby
RJ, van Bodegom PM, Xu X (2014) Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude
ecosystems. Ann Bot 114:1–16
Yang X, Shi H, Stovall A, Guan K, Miao G, Zhang Y, Zhang Y, Xiao X, Ryu Y, Lee J-E (2018)
FluoSpec 2-an automated field spectroscopy system to monitor canopy solar-induced fluorescence. Sensors (Basel) 18:2063
Yang X, Tang J, Mustard JF, Wu J, Zhao K, Serbin S, Lee J-E (2016) Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. Remote Sens
Environ 179:1–12
Yilmaz MT, Hunt ER, Jackson TJ (2008) Remote sensing of vegetation water content from equivalent water thickness using satellite imagery. Remote Sens Environ 112:2514–2522
Zarco-Tejada, Pablo J (2000a) Hyperspectral remote sensing of closed forest canopies: estimation of chlorophyll fluorescence and pigment content. Ph.D. Thesis, York University, Toronto
Ontario, Canada
Zarco-Tejada PJ, Miller JR, Mohammed GH, Noland TL, Sampson PH (2000b) Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level
measurements with hyperspectral Data. Remote Sens Environ 74(3):596–608
Zarco-Tejada PJ, Miller JR, Mohammed GH, Noland TL, Sampson PH (2000c) Optical indices
as bioindicators of forest condition from hyperspectral CASI data. Remote Sensing in the 21st
Century: Economic and Environmental Applications, 517–522
Zhang Y, Chen JM, Miller JR, Noland TL (2008) Leaf chlorophyll content retrieval from airborne
hyperspectral remote sensing imagery. Remote Sens Environ 112(7):3234–3247
Zhou LM, Tucker CJ, Kaufmann RK, Slayback D, Shabanov NV, Myneni RB (2001) Variations
in northern vegetation activity inferred from satellite data of vegetation index during 1981 to
1999. J Geophys Res-Atmos 106:20069–20083
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter's Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
S. P. Serbin and P. A. Townsend
Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin
T, Cornelissen JHC, Diemer M, et al. (2004) The worldwide leaf economics spectrum. Nature
428(6985):821–827
Wu J, Albert LP, Lopes AP, Restrepo-Coupe N, Hayek M, Wiedemann KT, Guan K, Stark SC,
Christoffersen B, Prohaska N, Tavares JV, Marostica S, Kobayashi H, Ferreira ML, Campos
KS, da Silva R, Brando PM, Dye DG, Huxman TE, Huete AR, Nelson BW, Saleska SR (2016)
Leaf development and demography explain photosynthetic seasonality in Amazon evergreen
forests. Science 351:972–976
Wu J, Chavana-Bryant C, Prohaska N, Serbin SP, Guan K, Albert LP, Yang X, Leeuwen WJD,
Garnello AJ, Martins G, Malhi Y, Gerard F, Oliviera RC, Saleska SR (2017) Convergence in
relationships between leaf traits, spectra and age across diverse canopy environments and two
contrasting tropical forests. New Phytol 214:1033–1048
Wullschleger SD, Epstein HE, Box EO, Euskirchen ES, Goswami S, Iversen CM, Kattge J, Norby
RJ, van Bodegom PM, Xu X (2014) Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude
ecosystems. Ann Bot 114:1–16
Yang X, Shi H, Stovall A, Guan K, Miao G, Zhang Y, Zhang Y, Xiao X, Ryu Y, Lee J-E (2018)
FluoSpec 2-an automated field spectroscopy system to monitor canopy solar-induced fluorescence. Sensors (Basel) 18:2063
Yang X, Tang J, Mustard JF, Wu J, Zhao K, Serbin S, Lee J-E (2016) Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. Remote Sens
Environ 179:1–12
Yilmaz MT, Hunt ER, Jackson TJ (2008) Remote sensing of vegetation water content from equivalent water thickness using satellite imagery. Remote Sens Environ 112:2514–2522
Zarco-Tejada, Pablo J (2000a) Hyperspectral remote sensing of closed forest canopies: estimation of chlorophyll fluorescence and pigment content. Ph.D. Thesis, York University, Toronto
Ontario, Canada
Zarco-Tejada PJ, Miller JR, Mohammed GH, Noland TL, Sampson PH (2000b) Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level
measurements with hyperspectral Data. Remote Sens Environ 74(3):596–608
Zarco-Tejada PJ, Miller JR, Mohammed GH, Noland TL, Sampson PH (2000c) Optical indices
as bioindicators of forest condition from hyperspectral CASI data. Remote Sensing in the 21st
Century: Economic and Environmental Applications, 517–522
Zhang Y, Chen JM, Miller JR, Noland TL (2008) Leaf chlorophyll content retrieval from airborne
hyperspectral remote sensing imagery. Remote Sens Environ 112(7):3234–3247
Zhou LM, Tucker CJ, Kaufmann RK, Slayback D, Shabanov NV, Myneni RB (2001) Variations
in northern vegetation activity inferred from satellite data of vegetation index during 1981 to
1999. J Geophys Res-Atmos 106:20069–20083
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter's Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
S. P. Serbin and P. A. Townsend