516
other dimensions of biodiversity, and the upcoming years will be the critical time
for ecologists to address these challenges.
Acknowledgments PT received support from NSF Dimensions of Biodiversity grant 1342778,
NSF Macrosystems Biology and Early Neon Science grant 1638720, NASA/JPL contracts
1579654 and 1590148, and USDA McIntire-Stennis/Hatch awards WIS01809 and WIS01874.
This research, carried out at the Jet Propulsion Laboratory, California Institute of Technology, was
under a contract with the National Aeronautics and Space Administration, copyright 2019
California Institute of Technology. We also thank the NIMBioS working group on remote sensing
of biodiversity.
References
Asner GP, Knapp DE, Boardman J, Green RO, Kennedy-Bowdoin T, Eastwood M, Martin RE,
Anderson C, Field CB (2012/9) Carnegie airborne observatory-2: increasing science data
dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465
Asner GP, Martin RE, Suhaili AB (2012) Sources of canopy chemical and spectral diversity in
lowland Bornean Forest. Ecosystems 15(3):504–517
Asner GP, Martin RE, Knapp DE, Tupayachi R, Anderson CB, Sinca F, Vaughn NR, Llactayo
W (2017) Airborne laser-guided imaging spectroscopy to map forest trait diversity and guide
conservation. Science 355(6323):385–389
Barnett DT, Adler PB, Chemel BR, Duffy PA, Enquist BJ, Grace JB, Harrison S, Peet RK, Schimel
DS, Stohlgren TJ, Vellend M (2019) The plant diversity sampling design for the National
Ecological Observatory Network. Ecosphere 10(2):e02603. https://doi.org/10.1002/ecs2.2603
Bonan GB (2016) Ecological climatology: concepts and applications. 3rd edition. Cambridge
University Press, Cambridge, p 692
Butler EE, Datta A, Flores-Moreno H, Chen M, Wythers KR, Fazayeli F, Banerjee A, Atkin
OK, Kattge J, Amiaud B, Blonder B, Boenisch G, Bond-Lamberty B, Brown KA, Byun C,
Campetella G, Cerabolini BEL, Cornelissen JHC, Craine JM, Craven D, de Vries FT, Díaz
S, Domingues TF, Forey E, González-Melo A, Gross N, Han W, Hattingh WN, Hickler T,
Jansen S, Kramer K, Kraft NJB, Kurokawa H, Laughlin DC, Meir P, Minden V, Niinemets
Ü, Onoda Y, Peñuelas J, Read Q, Sack L, Schamp B, Soudzilovskaia NA, Spasojevic MJ,
Sosinski E, Thornton PE, Valladares F, van Bodegom PM, Williams M, Wirth C, Reich PB
(2017) Mapping local and global variability in plant trait distributions. Proc Natl Acad Sci U S
A 114(51):E10937–E10946
Cavender-Bares J, Meireles J, Couture J, Kaproth M, Kingdon C, Singh A, Serbin S, Center A,
Zuniga E, Pilz G, Townsend P (2016) Associations of leaf spectra with genetic and phylogenetic variation in oaks: prospects for remote detection of biodiversity. Remote Sens 8(3):221
Chapin FS 3rd (2003) Effects of plant traits on ecosystem and regional processes: a conceptual
framework for predicting the consequences of global change. Ann Bot 91(4):455–463
Díaz S, Kattge J, Cornelissen JHC, Wright IJ, Lavorel S, Dray S, Reu B, Kleyer M, Wirth C,
Prentice IC, Garnier E, Bönisch G, Westoby M, Poorter H, Reich PB, Moles AT, Dickie J,
Gillison AN, Zanne AE, Chave J, Wright SJ, Sheremet’ev SN, Jactel H, Baraloto C, Cerabolini
B, Pierce S, Shipley B, Kirkup D, Casanoves F, Joswig JS, Günther A, Falczuk V, Rüger N,
Mahecha MD, Gorné LD (2016) The global spectrum of plant form and function. Nature
529(7585):167–171
Féret J-B, Asner GP (2014) Mapping tropical forest canopy diversity using high-fidelity imaging
spectroscopy. Ecol Appl 24(6):1289–1296
Gholizadeh H, Gamon JA, Townsend PA, Zygielbaum AI, Helzer CJ, Hmimina GY, Yu R, Moore
RM, Schweiger AK, Cavender-Bares J (2019) Detecting prairie biodiversity with airborne
remote sensing. Remote Sens Environ 221:38–49
D. Schimel et al.
other dimensions of biodiversity, and the upcoming years will be the critical time
for ecologists to address these challenges.
Acknowledgments PT received support from NSF Dimensions of Biodiversity grant 1342778,
NSF Macrosystems Biology and Early Neon Science grant 1638720, NASA/JPL contracts
1579654 and 1590148, and USDA McIntire-Stennis/Hatch awards WIS01809 and WIS01874.
This research, carried out at the Jet Propulsion Laboratory, California Institute of Technology, was
under a contract with the National Aeronautics and Space Administration, copyright 2019
California Institute of Technology. We also thank the NIMBioS working group on remote sensing
of biodiversity.
References
Asner GP, Knapp DE, Boardman J, Green RO, Kennedy-Bowdoin T, Eastwood M, Martin RE,
Anderson C, Field CB (2012/9) Carnegie airborne observatory-2: increasing science data
dimensionality via high-fidelity multi-sensor fusion. Remote Sens Environ 124:454–465
Asner GP, Martin RE, Suhaili AB (2012) Sources of canopy chemical and spectral diversity in
lowland Bornean Forest. Ecosystems 15(3):504–517
Asner GP, Martin RE, Knapp DE, Tupayachi R, Anderson CB, Sinca F, Vaughn NR, Llactayo
W (2017) Airborne laser-guided imaging spectroscopy to map forest trait diversity and guide
conservation. Science 355(6323):385–389
Barnett DT, Adler PB, Chemel BR, Duffy PA, Enquist BJ, Grace JB, Harrison S, Peet RK, Schimel
DS, Stohlgren TJ, Vellend M (2019) The plant diversity sampling design for the National
Ecological Observatory Network. Ecosphere 10(2):e02603. https://doi.org/10.1002/ecs2.2603
Bonan GB (2016) Ecological climatology: concepts and applications. 3rd edition. Cambridge
University Press, Cambridge, p 692
Butler EE, Datta A, Flores-Moreno H, Chen M, Wythers KR, Fazayeli F, Banerjee A, Atkin
OK, Kattge J, Amiaud B, Blonder B, Boenisch G, Bond-Lamberty B, Brown KA, Byun C,
Campetella G, Cerabolini BEL, Cornelissen JHC, Craine JM, Craven D, de Vries FT, Díaz
S, Domingues TF, Forey E, González-Melo A, Gross N, Han W, Hattingh WN, Hickler T,
Jansen S, Kramer K, Kraft NJB, Kurokawa H, Laughlin DC, Meir P, Minden V, Niinemets
Ü, Onoda Y, Peñuelas J, Read Q, Sack L, Schamp B, Soudzilovskaia NA, Spasojevic MJ,
Sosinski E, Thornton PE, Valladares F, van Bodegom PM, Williams M, Wirth C, Reich PB
(2017) Mapping local and global variability in plant trait distributions. Proc Natl Acad Sci U S
A 114(51):E10937–E10946
Cavender-Bares J, Meireles J, Couture J, Kaproth M, Kingdon C, Singh A, Serbin S, Center A,
Zuniga E, Pilz G, Townsend P (2016) Associations of leaf spectra with genetic and phylogenetic variation in oaks: prospects for remote detection of biodiversity. Remote Sens 8(3):221
Chapin FS 3rd (2003) Effects of plant traits on ecosystem and regional processes: a conceptual
framework for predicting the consequences of global change. Ann Bot 91(4):455–463
Díaz S, Kattge J, Cornelissen JHC, Wright IJ, Lavorel S, Dray S, Reu B, Kleyer M, Wirth C,
Prentice IC, Garnier E, Bönisch G, Westoby M, Poorter H, Reich PB, Moles AT, Dickie J,
Gillison AN, Zanne AE, Chave J, Wright SJ, Sheremet’ev SN, Jactel H, Baraloto C, Cerabolini
B, Pierce S, Shipley B, Kirkup D, Casanoves F, Joswig JS, Günther A, Falczuk V, Rüger N,
Mahecha MD, Gorné LD (2016) The global spectrum of plant form and function. Nature
529(7585):167–171
Féret J-B, Asner GP (2014) Mapping tropical forest canopy diversity using high-fidelity imaging
spectroscopy. Ecol Appl 24(6):1289–1296
Gholizadeh H, Gamon JA, Townsend PA, Zygielbaum AI, Helzer CJ, Hmimina GY, Yu R, Moore
RM, Schweiger AK, Cavender-Bares J (2019) Detecting prairie biodiversity with airborne
remote sensing. Remote Sens Environ 221:38–49
D. Schimel et al.