Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy

Biology Letters

Volumn 10, Issue 7, 2014, Pages

  Pottier, Julien ^a,b   Malenovský, Zbynêk ^c,d   Psomas, Achilleas ^e   Homolová, Lucie ^c   Schaepman, Michael E ^c   Choler, Philippe ^f,g   Thuiller, Wilfried ^f,g   Guisan, Antoine ^a   Zimmermann, Niklaus E ^e  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b French National Institute of Agricultural Research   (France)

^c UNIVERSITY OF ZURICH   (Switzerland)

^d UNIVERSITY OF WOLLONGONG   (Australia)

^e SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^f UNIV GRENOBLE ALPES   (France)

^g CNRS   (France)

Author keywords

Alpine grasslands; Hyperspectral data; Reflectance; Species distribution

Indexed keywords

AIRBORNE SENSING; ALPINE ENVIRONMENT; GEOGRAPHICAL DISTRIBUTION; GRASSLAND; LEAF AREA INDEX; PLANT COMMUNITY; REFLECTANCE;

ALPS; FRANCE; SWITZERLAND;

CHLOROPHYLL;

CHEMISTRY; ENVIRONMENT; FRANCE; GRASSLAND; PLANT; PLANT LEAF; PROCEDURES; REMOTE SENSING; SPECTROSCOPY; STATISTICAL MODEL; SWITZERLAND;

CHLOROPHYLL; ENVIRONMENT; FRANCE; GRASSLAND; MODELS, STATISTICAL; PLANT LEAVES; PLANTS; REMOTE SENSING TECHNOLOGY; SPECTRUM ANALYSIS; SWITZERLAND;

EID: 84906061903     PISSN: 17449561     EISSN: 1744957X     Source Type: Journal    
DOI: 10.1098/rsbl.2014.0347     Document Type: Article

References (18)

1. Guisan A, Thuiller W. 2005 Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 8, 993-1009. (doi:10.1111/j. 1461-0248.2005.00792.x)
2. Schaepman ME, Ustin SL, Plaza AJ, Painter TH, Verrelst J, Liang S. 2009 Earth system science related imaging spectroscopy: an assessment. Remote Sens. Environ. 113, S123-S137. (doi:10. 1016/j.rse.2009.03.001)
3. Ustin SL, Gamon JA. 2010 Remote sensing of plant functional types. New Phytol. 186, 795-816. (doi:10.1111/j.1469-8137.2010.03284.x)
4. Schmidtlein S. 2005 Imaging spectroscopy as a tool for mapping Ellenberg indicator values. J. Appl. Ecol. 42, 966-974. (doi:10.1111/j.1365-2664.2005. 01064.x)
5. Parviainen M, Luoto M, Heikkinen RK. 2010 NDVIbased productivity and heterogeneity as indicators of plant-species richness in boreal landscapes. Boreal Environ. Res. 15, 301-318.
6. Feilhauer H, He KS, Rocchini D. 2012 Modeling species distribution using niche-based proxies derived from composite bioclimatic variables and MODIS NDVI. Remote Sens. 4, 2057-2075. (doi:10.3390/rs4072057)
7. Schmidtlein S, Sassin J. 2004 Mapping of continuous floristic gradients in grasslands using hyperspectral imagery. Remote Sens. Environ. 92, 126-138. (doi:10.1016/j.rse.2004.05.004)
8. Lawrence RL, Wood SD, Sheley RL. 2006 Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (randomForest). Remote Sens. Environ. 100, 356-362. (doi:10.1016/j.rse.2005.10.014)
9. Rocchini D. 2007 Effects of spatial and spectral resolution in estimating ecosystem a-diversity by satellite imagery. Remote Sens. Environ. 111, 423-434. (doi:10.1016/j.rse.2007.03.018)
10. Malenovsky Z, Homolová L, Zurita-Milla R, Lukes? P, Kaplan V, Hanus? J, Gastellu-Etchegorry J-P, Schaepman ME. 2013 Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer. Remote Sens. Environ. 131, 85-102. (doi:10.1016/j.rse.2012. 12.015)
11. Haboudane D, Millera JR, Pattey E, Zarco-Tejada PJ, Strachan IB. 2004 Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sens. Environ. 90, 337-352. (doi:10.1016/j.rse.2003.12.013)
12. Cheng Y-B, Zarco-Tejada PJ, Riaño D, Rueda CA, Ustin SL. 2006 Estimating vegetation water content with hyperspectral data for different canopy scenarios: relationships between AVIRIS and MODIS indexes. Remote Sens. Environ. 105, 354-366. (doi:10.1016/j.rse.2006.07.005)
13. Strobl C, Boulesteix A-L, Kneib T, Augustin T, Zeileis A. 2008 Conditional variable importance for random forests. BMC Bioinformatics 9, 307. (doi:10.1186/1471-2105-9-307)
14. Homolová L, Malenovsky Z, Clevers JGPW, García-Santos G, Schaepman ME. 2013 Review of opticalbased remote sensing for plant trait mapping. Ecol. Complex. 15, 1-16. (doi:10.1016/j.ecocom.2013. 06.003)
15. Hardy OJ, Pavoine S. 2012 Assessing phylogenetic signal with measurement error: a comparison of Mantel tests, Blomberg et al.s K, and phylogenetic distograms. Evolution 66, 2614-2621. (doi:10. 1111/j.1558-5646.2012.01623.x)
16. Nagendra H, Rocchini D. 2008 High resolution satellite imagery for tropical biodiversity studies: the devil is in the detail. Biodivers. Conserv. 17, 3431-3442. (doi:10.1007/s10531-008-9479-0)
17. Ackerly DD. 2009 Conservatism and diversification of plant functional traits: evolutionary rates versus phylogenetic signal. Proc. Natl Acad. Sci. USA 106, 19 699-19 706. (doi:10.1073/pnas.0901635106)
18. Bradley BA, Olsson AD, Wang O, Dickson BG, Pelech L, Sesnie SE, Zachmann LJ. 2012 Species detection vs. habitat suitability: are we biasing habitat suitability models with remotely sensed data? Ecol. Model. 244, 57-64. (doi:10.1016/j.ecolmodel.2012. 06.019)