220
Elton C (1927) Animal Ecology. Sedgwick and Jackson, London
Enquist BJ, Condit R, Peet RK et al (2016) Cyberinfrastructure for an integrated botanical information network to investigate the ecological impacts of global climate change on plant biodiversity. PeerJ Preprints 4:e2615v2. https://doi.org/10.7287/peerj.preprints.2615v2
Ferrier S, Guisan A (2006) Spatial modelling of biodiversity at the community level. J Appl Ecol
43(3):393–404. https://doi.org/10.1111/j.1365-2664.2006.01149.x
Franklin J (2010) Mapping species distribution: spatial inference and prediction. Cambridge
University Press, Cambridge
Funk C, Peterson P, Landsfeld M et al (2015) The climate hazards infrared precipitation with
stations—a new environmental record for monitoring extremes. Sci Data 2:150066. https://doi.
org/10.1038/sdata.2015.66
Gaston KJ (2009) Geographic range limits: achieving synthesis. Proc R Soc Lond B Biol Sci
276(1661):1395–1406. https://doi.org/10.1098/rspb.2008.1480
Gillespie TW, Foody GM, Rocchini D et al (2008) Measuring and modelling biodiversity from
space. Prog Phys Geogr 32(2):203–221. https://doi.org/10.1177/0309133308093606
Greenberg JA, Mattiuzzi M (2018) gdalUtils: wrappers for the geospatial data abstraction library
(GDAL) utilities. R package version 2.0.1.14. https://CRAN.R-project.org/package=gdalUtils.
Grinnell J (1904) The Origin and Distribution of the Chest-Nut-Backed Chickadee. The Auk,
21(3), 364–382. https://doi.org/10.2307/4070199
Grinnell J (1917) The Niche-Relationships of the California Thrasher. The Auk, 34(4), 427–433.
https://doi.org/10.2307/4072271
Guillera-Arroita G, Lahoz-Monfort JJ, Elith J et al (2015) Is my species distribution model fit
for purpose? Matching data and models to applications. Glob Ecol Biogeogr 24(3):276–292.
https://doi.org/10.1111/geb.12268
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat
models. Ecol Lett 8(9):993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
Guisan A, Graham CH, Elith J et al (2007) Sensitivity of predictive species distribution models to change in grain size. Divers Distrib 13(3):332–340. https://doi.
org/10.1111/j.1472-4642.2007.00342.x
Guisan A, Rahbek C (2011) SESAM - a new framework integrating macroecological and species
distribution models for predicting spatio-temporal patterns of species assemblages. Journal of
Biogeography, 38(8), 1433–1444. https://doi.org/10.1111/j.1365-2699.2011.02550.x
Guisan A, Thuiller W, Zimmermann NE (2017) Habitat suitability and distribution models.
Cambridge University Press, Cambridge. https://doi.org/10.1017/9781139028271
Hijmans RJ, Phillips S, Leathwick J et al (2017) dismo: species distribution modeling. R package
version 1.1-4. https://CRAN.R-project.org/package=dismo.
Hijmans RJ (2018) raster: Geographic Data Analysis and Modeling. R package version 3.0-7.
https://CRAN.R-project.org/package=raster
Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces
for global land areas. Int J Climatol 25(15):1965–1978. https://doi.org/10.1002/joc.1276
Hipp AL, Manos PS, González-Rodríguez A et al (2017) Sympatric parallel diversification of
major oak clades in the Americas and the origins of Mexican species diversity. New Phytol
217(1):439–452. https://doi.org/10.1111/nph.14773
Hobi ML, Dubinin M, Graham CH et al (2017) A comparison of dynamic habitat indices derived
from different MODIS products as predictors of avian species richness. Remote Sens Environ
195:142–152. https://doi.org/10.1016/j.rse.2017.04.018
Holdridge LR (1947) Determination of world plant formations from simple climatic data. Science
105(2727):367–368. https://doi.org/10.1126/science.105.2727.367
Hutchinson GE (1957) Concluding Remarks. Cold Spring Harbor Symposia on Quantitative
Biology, 22(0), 415–427. https://doi.org/10.1101/sqb.1957.022.01.03
Jetz W, Cavender-Bares J, Pavlick R et al (2016) Monitoring plant functional diversity from space.
Nat Plants 2(3):16024. https://doi.org/10.1038/nplants.2016.24
Karatzoglou A, Smola A, Hornik K et al (2004) Kernlab – an S4 package for Kernel methods in
R. J Stat Softw 11(9):1–20. http://www.jstatsoft.org/v11/i09/.
J. N. Pinto-Ledezma and J. Cavender-Bares
Elton C (1927) Animal Ecology. Sedgwick and Jackson, London
Enquist BJ, Condit R, Peet RK et al (2016) Cyberinfrastructure for an integrated botanical information network to investigate the ecological impacts of global climate change on plant biodiversity. PeerJ Preprints 4:e2615v2. https://doi.org/10.7287/peerj.preprints.2615v2
Ferrier S, Guisan A (2006) Spatial modelling of biodiversity at the community level. J Appl Ecol
43(3):393–404. https://doi.org/10.1111/j.1365-2664.2006.01149.x
Franklin J (2010) Mapping species distribution: spatial inference and prediction. Cambridge
University Press, Cambridge
Funk C, Peterson P, Landsfeld M et al (2015) The climate hazards infrared precipitation with
stations—a new environmental record for monitoring extremes. Sci Data 2:150066. https://doi.
org/10.1038/sdata.2015.66
Gaston KJ (2009) Geographic range limits: achieving synthesis. Proc R Soc Lond B Biol Sci
276(1661):1395–1406. https://doi.org/10.1098/rspb.2008.1480
Gillespie TW, Foody GM, Rocchini D et al (2008) Measuring and modelling biodiversity from
space. Prog Phys Geogr 32(2):203–221. https://doi.org/10.1177/0309133308093606
Greenberg JA, Mattiuzzi M (2018) gdalUtils: wrappers for the geospatial data abstraction library
(GDAL) utilities. R package version 2.0.1.14. https://CRAN.R-project.org/package=gdalUtils.
Grinnell J (1904) The Origin and Distribution of the Chest-Nut-Backed Chickadee. The Auk,
21(3), 364–382. https://doi.org/10.2307/4070199
Grinnell J (1917) The Niche-Relationships of the California Thrasher. The Auk, 34(4), 427–433.
https://doi.org/10.2307/4072271
Guillera-Arroita G, Lahoz-Monfort JJ, Elith J et al (2015) Is my species distribution model fit
for purpose? Matching data and models to applications. Glob Ecol Biogeogr 24(3):276–292.
https://doi.org/10.1111/geb.12268
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat
models. Ecol Lett 8(9):993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
Guisan A, Graham CH, Elith J et al (2007) Sensitivity of predictive species distribution models to change in grain size. Divers Distrib 13(3):332–340. https://doi.
org/10.1111/j.1472-4642.2007.00342.x
Guisan A, Rahbek C (2011) SESAM - a new framework integrating macroecological and species
distribution models for predicting spatio-temporal patterns of species assemblages. Journal of
Biogeography, 38(8), 1433–1444. https://doi.org/10.1111/j.1365-2699.2011.02550.x
Guisan A, Thuiller W, Zimmermann NE (2017) Habitat suitability and distribution models.
Cambridge University Press, Cambridge. https://doi.org/10.1017/9781139028271
Hijmans RJ, Phillips S, Leathwick J et al (2017) dismo: species distribution modeling. R package
version 1.1-4. https://CRAN.R-project.org/package=dismo.
Hijmans RJ (2018) raster: Geographic Data Analysis and Modeling. R package version 3.0-7.
https://CRAN.R-project.org/package=raster
Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces
for global land areas. Int J Climatol 25(15):1965–1978. https://doi.org/10.1002/joc.1276
Hipp AL, Manos PS, González-Rodríguez A et al (2017) Sympatric parallel diversification of
major oak clades in the Americas and the origins of Mexican species diversity. New Phytol
217(1):439–452. https://doi.org/10.1111/nph.14773
Hobi ML, Dubinin M, Graham CH et al (2017) A comparison of dynamic habitat indices derived
from different MODIS products as predictors of avian species richness. Remote Sens Environ
195:142–152. https://doi.org/10.1016/j.rse.2017.04.018
Holdridge LR (1947) Determination of world plant formations from simple climatic data. Science
105(2727):367–368. https://doi.org/10.1126/science.105.2727.367
Hutchinson GE (1957) Concluding Remarks. Cold Spring Harbor Symposia on Quantitative
Biology, 22(0), 415–427. https://doi.org/10.1101/sqb.1957.022.01.03
Jetz W, Cavender-Bares J, Pavlick R et al (2016) Monitoring plant functional diversity from space.
Nat Plants 2(3):16024. https://doi.org/10.1038/nplants.2016.24
Karatzoglou A, Smola A, Hornik K et al (2004) Kernlab – an S4 package for Kernel methods in
R. J Stat Softw 11(9):1–20. http://www.jstatsoft.org/v11/i09/.
J. N. Pinto-Ledezma and J. Cavender-Bares