446
Schweiger AK et al (2018) Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function. Nat Ecol Evol 2:976–982. https://doi.
org/10.1038/s41559-018-0551-1
Simpson EH (1949) Measurement of diversity. Nature 163:688–688. https://doi.
org/10.1038/163688a0
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25:2180–2197. https://doi.org/10.1890/14-2098.1.sm
Somers B, Asner GP, Martin RE, Anderson CB, Knapp DE, Wright SJ, Van De Kerchove R (2015)
Mesoscale assessment of changes in tropical tree species richness across a bioclimatic gradient
in Panama using airborne imaging spectroscopy. Remote Sens Environ 167:111–120. https://
doi.org/10.1016/j.rse.2015.04.016
Tilman D, Reich PB, Isbell F (2012) Biodiversity impacts ecosystem productivity as much as
resources, disturbance, or herbivory. Proc Natl Acad Sci U S A 109:10394–10397. https://doi.
org/10.1073/pnas.1208240109
Townsend PA, Serbin SP, Kruger EL, Gamon JA (2013) Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data. Proc Natl
Acad Sci U S A 110:E1074. https://doi.org/10.1073/pnas.1300952110
Tuanmu MN, Jetz W (2015) A global, remote sensing-based characterization of terrestrial habitat
heterogeneity for biodiversity and ecosystem modelling. Glob Ecol Biogeogr 24:1329–1339.
https://doi.org/10.1111/geb.12365
Turner W (2014) Sensing biodiversity. Science 346:301–302. https://doi.org/10.1126/
science.1256014
Turner MG, Dale VH, Gardner RH (1989) Predicting across scales: theory development and testing. Landsc Ecol 3:245–252. https://doi.org/10.1007/bf00131542
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816.
https://doi.org/10.1111/j.1469-8137.2010.03284.x
van Holde KE (1989) Chromatin. Springer, New York
Verrelst J et al (2019) Quantifying vegetation biophysical variables from imaging spectroscopy
data: a review on retrieval methods. Surv Geophys 40:589–629. https://doi.org/10.1007/
s10712-018-9478-y
Vihervaara P et al (2017) How Essential Biodiversity Variables and remote sensing can help
national biodiversity monitoring. Glob Ecol Conserv 10:43–59. https://doi.org/10.1016/j.
gecco.2017.01.007
Wallace L, Lucieer A, Malenovsky Z, Turner D, Vopenka P (2016) Assessment of forest structure
using two UAV techniques: a comparison of airborne laser scanning and structure from motion
(SfM) point clouds. Forests 7. https://doi.org/10.3390/f7030062
Wang R, Gamon JA (2019) Remote sensing of biodiversity. Remote Sens Environ 231:111218
https://doi.org/10.1016/j.rse.2019.111218
Wang L, Sousa WP, Gong P, Biging GS (2004) Comparison of IKONOS and QuickBird images for
mapping mangrove species on the Caribbean coast of Panama. Remote Sens Environ 91:432–
440. https://doi.org/10.1016/j.rse.2004.04.005
Wang R, Gamon JA, Emmerton CE, Hitao L, Nestola E, Pastorello G, Menzer O (2016) Integrated
analysis of productivity and biodiversity in a Southern Alberta prairie. Remote Sens 8:214.
https://doi.org/10.3390/rs8030214
Wang R, Gamon JA, Cavender-Bares J, Townsend PA, Zygielbaum AI (2018a) The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland. Ecol Appl 28:541–556. https://doi.org/10.1002/eap.1669
Wang R, Gamon JA, Schweiger AK, Cavender-Bares J, Townsend PA, Zygielbaum AI, Kothari S
(2018b) Influence of species richness, evenness, and composition on optical diversity: a simulation study. Remote Sens Environ 211:218–228. https://doi.org/10.1016/j.rse.2018.04.010
J. Gamon et al.
Schweiger AK et al (2018) Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function. Nat Ecol Evol 2:976–982. https://doi.
org/10.1038/s41559-018-0551-1
Simpson EH (1949) Measurement of diversity. Nature 163:688–688. https://doi.
org/10.1038/163688a0
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25:2180–2197. https://doi.org/10.1890/14-2098.1.sm
Somers B, Asner GP, Martin RE, Anderson CB, Knapp DE, Wright SJ, Van De Kerchove R (2015)
Mesoscale assessment of changes in tropical tree species richness across a bioclimatic gradient
in Panama using airborne imaging spectroscopy. Remote Sens Environ 167:111–120. https://
doi.org/10.1016/j.rse.2015.04.016
Tilman D, Reich PB, Isbell F (2012) Biodiversity impacts ecosystem productivity as much as
resources, disturbance, or herbivory. Proc Natl Acad Sci U S A 109:10394–10397. https://doi.
org/10.1073/pnas.1208240109
Townsend PA, Serbin SP, Kruger EL, Gamon JA (2013) Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data. Proc Natl
Acad Sci U S A 110:E1074. https://doi.org/10.1073/pnas.1300952110
Tuanmu MN, Jetz W (2015) A global, remote sensing-based characterization of terrestrial habitat
heterogeneity for biodiversity and ecosystem modelling. Glob Ecol Biogeogr 24:1329–1339.
https://doi.org/10.1111/geb.12365
Turner W (2014) Sensing biodiversity. Science 346:301–302. https://doi.org/10.1126/
science.1256014
Turner MG, Dale VH, Gardner RH (1989) Predicting across scales: theory development and testing. Landsc Ecol 3:245–252. https://doi.org/10.1007/bf00131542
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816.
https://doi.org/10.1111/j.1469-8137.2010.03284.x
van Holde KE (1989) Chromatin. Springer, New York
Verrelst J et al (2019) Quantifying vegetation biophysical variables from imaging spectroscopy
data: a review on retrieval methods. Surv Geophys 40:589–629. https://doi.org/10.1007/
s10712-018-9478-y
Vihervaara P et al (2017) How Essential Biodiversity Variables and remote sensing can help
national biodiversity monitoring. Glob Ecol Conserv 10:43–59. https://doi.org/10.1016/j.
gecco.2017.01.007
Wallace L, Lucieer A, Malenovsky Z, Turner D, Vopenka P (2016) Assessment of forest structure
using two UAV techniques: a comparison of airborne laser scanning and structure from motion
(SfM) point clouds. Forests 7. https://doi.org/10.3390/f7030062
Wang R, Gamon JA (2019) Remote sensing of biodiversity. Remote Sens Environ 231:111218
https://doi.org/10.1016/j.rse.2019.111218
Wang L, Sousa WP, Gong P, Biging GS (2004) Comparison of IKONOS and QuickBird images for
mapping mangrove species on the Caribbean coast of Panama. Remote Sens Environ 91:432–
440. https://doi.org/10.1016/j.rse.2004.04.005
Wang R, Gamon JA, Emmerton CE, Hitao L, Nestola E, Pastorello G, Menzer O (2016) Integrated
analysis of productivity and biodiversity in a Southern Alberta prairie. Remote Sens 8:214.
https://doi.org/10.3390/rs8030214
Wang R, Gamon JA, Cavender-Bares J, Townsend PA, Zygielbaum AI (2018a) The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland. Ecol Appl 28:541–556. https://doi.org/10.1002/eap.1669
Wang R, Gamon JA, Schweiger AK, Cavender-Bares J, Townsend PA, Zygielbaum AI, Kothari S
(2018b) Influence of species richness, evenness, and composition on optical diversity: a simulation study. Remote Sens Environ 211:218–228. https://doi.org/10.1016/j.rse.2018.04.010
J. Gamon et al.