219
References
Anderson RP (2012) Harnessing the world’s biodiversity data: promise and peril in ecological niche modeling of species distributions. Ann N Y Acad Sci 1260(1):66–80. https://doi.
org/10.1111/j.1749-6632.2011.06440.x
Anderson RP (2013) A framework for using niche models to estimate impacts of climate change
on species distributions. Ann N Y Acad Sci 1297(1):8–28. https://doi.org/10.1111/nyas.12264
Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends Ecol Evol
22(1):42–47. https://doi.org/10.1016/j.tree.2006.09.010
Asner GP, Martin RE, Knapp DE et al (2017) Airborne laser-guided imaging spectroscopy to
map forest trait diversity and guide conservation. Science 355(6323):385–389. https://doi.
org/10.1126/science.aaj1987
Berry S, Mackey B, Brown T (2007) Potential applications of remotely sensed vegetation greenness to habitat analysis and the conservation of dispersive fauna. Pacific Cons Bio 13(2):120.
https://doi.org/10.1071/pc070120
Bivand R, Keitt T, Rowlingson B (2018) rgdal: bindings for the ‘geospatial’ data abstraction
library. R package version 1.3-4. https://CRAN.R-project.org/package=rgdal.
Booth TH, Nix HA, Busby JR et al (2013) Bioclim: the first species studies. Divers Distrib
20(1):1–9. https://doi.org/10.1111/ddi.12144
Cavender-Bares J, Gonzalez-Rodriguez A, Pahlich A et al (2011) Phylogeography and climatic
niche evolution in live oaks (Quercus series Virentes) from the tropics to the temperate zone.
J Biogeogr 38(5):962–981. https://doi.org/10.1111/j.1365-2699.2010.02451.x
Cavender-Bares J, Gonzalez-Rodriguez A, Eaton DA et al (2015) Phylogeny and biogeography
of the American live oaks (Quercus subsection Virentes): a genomic and population genetics
approach. Mol Ecol 24(14):3668–3687. https://doi.org/10.1111/mec.13269
Cavender-Bares J, Meireles JE, Couture J et al (2016) Associations of leaf spectra with genetic
and phylogenetic variation in oaks: prospects for remote detection of biodiversity. Remote Sens
8(3):221. https://doi.org/10.3390/rs8030221
Cavender-Bares J, Gamon JA, Hobbie SE et al (2017) Harnessing plant spectra to integrate the
biodiversity sciences across biological and spatial scales. Am J Bot 104(7):966–969. https://
doi.org/10.3732/ajb.1700061
Clifford P, Richardson S, Hemon D (1989) Assessing the significance of the correlation between
two spatial processes. Biometrics 45(1):123–134. https://doi.org/10.2307/2532039
Colwell RK, Rangel TF (2009) Hutchinson’s duality: the once and future niche. Proc Natl Acad
Sci U S A 106(Supplement_2):19651–19658. https://doi.org/10.1073/pnas.0901650106
Coops NC, Kearney SP, Bolton DK et al (2018) Remotely-sensed productivity clusters capture
global biodiversity patterns. Sci Rep 8(1):16261. https://doi.org/10.1038/s41598-018-34162-8
Cord AF, Meentemeyer RK, Leitão PJ et al (2013) Modelling species distributions with remote
sensing data: bridging disciplinary perspectives. J Biogeogr 40(12):2226–2227. https://doi.
org/10.1111/jbi.12199
Cord AF, Brauman KA, Chaplin-Kramer R et al (2017) Priorities to advance monitoring of
ecosystem services using earth observation. Trends Ecol Evol 32(6):416–428. https://doi.
org/10.1016/j.tree.2017.03.003
Coudun C, Gégout JC, Piedallu C et al (2006) Soil nutritional factors improve models of plant species distribution: an illustration with Acer campestre (L.) in France. J Biogeogr 33(10):1750–
1763. https://doi.org/10.1111/j.1365-2699.2005.01443.x
Diniz-Filho JAF, Bini L, Rangel TF et al (2009) Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change. Ecography 32(6):897–906. https://
doi.org/10.1111/j.1600-0587.2009.06196.x
Duarte A, Whitlock SL, Peterson JT (2019) Species distribution modeling. In: Encyclopedia of
Ecology, pp 189–198. https://doi.org/10.1016/b978-0-12-409548-9.10572-x
Elith J, Franklin J (2013) Species distribution modeling. In: Encyclopedia of biodiversity, pp 692–
705. https://doi.org/10.1016/b978-0-12-384719-5.00318-x
9 Using Remote Sensing for Modeling and Monitoring Species Distributions
References
Anderson RP (2012) Harnessing the world’s biodiversity data: promise and peril in ecological niche modeling of species distributions. Ann N Y Acad Sci 1260(1):66–80. https://doi.
org/10.1111/j.1749-6632.2011.06440.x
Anderson RP (2013) A framework for using niche models to estimate impacts of climate change
on species distributions. Ann N Y Acad Sci 1297(1):8–28. https://doi.org/10.1111/nyas.12264
Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends Ecol Evol
22(1):42–47. https://doi.org/10.1016/j.tree.2006.09.010
Asner GP, Martin RE, Knapp DE et al (2017) Airborne laser-guided imaging spectroscopy to
map forest trait diversity and guide conservation. Science 355(6323):385–389. https://doi.
org/10.1126/science.aaj1987
Berry S, Mackey B, Brown T (2007) Potential applications of remotely sensed vegetation greenness to habitat analysis and the conservation of dispersive fauna. Pacific Cons Bio 13(2):120.
https://doi.org/10.1071/pc070120
Bivand R, Keitt T, Rowlingson B (2018) rgdal: bindings for the ‘geospatial’ data abstraction
library. R package version 1.3-4. https://CRAN.R-project.org/package=rgdal.
Booth TH, Nix HA, Busby JR et al (2013) Bioclim: the first species studies. Divers Distrib
20(1):1–9. https://doi.org/10.1111/ddi.12144
Cavender-Bares J, Gonzalez-Rodriguez A, Pahlich A et al (2011) Phylogeography and climatic
niche evolution in live oaks (Quercus series Virentes) from the tropics to the temperate zone.
J Biogeogr 38(5):962–981. https://doi.org/10.1111/j.1365-2699.2010.02451.x
Cavender-Bares J, Gonzalez-Rodriguez A, Eaton DA et al (2015) Phylogeny and biogeography
of the American live oaks (Quercus subsection Virentes): a genomic and population genetics
approach. Mol Ecol 24(14):3668–3687. https://doi.org/10.1111/mec.13269
Cavender-Bares J, Meireles JE, Couture J et al (2016) Associations of leaf spectra with genetic
and phylogenetic variation in oaks: prospects for remote detection of biodiversity. Remote Sens
8(3):221. https://doi.org/10.3390/rs8030221
Cavender-Bares J, Gamon JA, Hobbie SE et al (2017) Harnessing plant spectra to integrate the
biodiversity sciences across biological and spatial scales. Am J Bot 104(7):966–969. https://
doi.org/10.3732/ajb.1700061
Clifford P, Richardson S, Hemon D (1989) Assessing the significance of the correlation between
two spatial processes. Biometrics 45(1):123–134. https://doi.org/10.2307/2532039
Colwell RK, Rangel TF (2009) Hutchinson’s duality: the once and future niche. Proc Natl Acad
Sci U S A 106(Supplement_2):19651–19658. https://doi.org/10.1073/pnas.0901650106
Coops NC, Kearney SP, Bolton DK et al (2018) Remotely-sensed productivity clusters capture
global biodiversity patterns. Sci Rep 8(1):16261. https://doi.org/10.1038/s41598-018-34162-8
Cord AF, Meentemeyer RK, Leitão PJ et al (2013) Modelling species distributions with remote
sensing data: bridging disciplinary perspectives. J Biogeogr 40(12):2226–2227. https://doi.
org/10.1111/jbi.12199
Cord AF, Brauman KA, Chaplin-Kramer R et al (2017) Priorities to advance monitoring of
ecosystem services using earth observation. Trends Ecol Evol 32(6):416–428. https://doi.
org/10.1016/j.tree.2017.03.003
Coudun C, Gégout JC, Piedallu C et al (2006) Soil nutritional factors improve models of plant species distribution: an illustration with Acer campestre (L.) in France. J Biogeogr 33(10):1750–
1763. https://doi.org/10.1111/j.1365-2699.2005.01443.x
Diniz-Filho JAF, Bini L, Rangel TF et al (2009) Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change. Ecography 32(6):897–906. https://
doi.org/10.1111/j.1600-0587.2009.06196.x
Duarte A, Whitlock SL, Peterson JT (2019) Species distribution modeling. In: Encyclopedia of
Ecology, pp 189–198. https://doi.org/10.1016/b978-0-12-409548-9.10572-x
Elith J, Franklin J (2013) Species distribution modeling. In: Encyclopedia of biodiversity, pp 692–
705. https://doi.org/10.1016/b978-0-12-384719-5.00318-x
9 Using Remote Sensing for Modeling and Monitoring Species Distributions