{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T11:05:57Z","timestamp":1767092757002,"version":"build-2065373602"},"reference-count":74,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2012,7,9]],"date-time":"2012-07-09T00:00:00Z","timestamp":1341792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vegetation mapping based on niche theory has proven useful in understanding the rules governing species assembly at various spatial scales. Remote-sensing derived distribution maps depicting occurrences of target species are frequently based on biophysical and biochemical properties of species. However, environmental conditions, such as climatic variables, also affect spectral signals simultaneously. Further, climatic variables are the major drivers of species distribution at macroscales. Therefore, the objective of this study is to determine if species distribution can be modeled using an indirect link to climate and remote sensing data (MODIS NDVI time series). We used plant occurrence data in the US states of North Carolina and South Carolina and 19 climatic variables to generate floristic and climatic gradients using principal component analysis, then we further modeled the correlations between floristic gradients and NDVI using Partial Least Square regression. We found strong statistical relationship between species distribution and NDVI time series in a region where clear floristic and climatic gradients exist. If this precondition is given, the use of niche-based proxies may be suitable for predictive modeling of species distributions at regional scales. This indirect estimation of vegetation patterns may be a viable alternative to mapping approaches using biochemistry-driven spectral signature of species.<\/jats:p>","DOI":"10.3390\/rs4072057","type":"journal-article","created":{"date-parts":[[2012,7,9]],"date-time":"2012-07-09T11:01:02Z","timestamp":1341831662000},"page":"2057-2075","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS NDVI"],"prefix":"10.3390","volume":"4","author":[{"given":"Hannes","family":"Feilhauer","sequence":"first","affiliation":[{"name":"Department of Geography, University of Erlangen-Nuremberg, Kochstr. 4\/4, D-91054 Erlangen, Germany"}]},{"given":"Kate S.","family":"He","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, Murray State University, Murray, KY 42071, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0087-0594","authenticated-orcid":false,"given":"Duccio","family":"Rocchini","sequence":"additional","affiliation":[{"name":"GIS and Remote Sensing Unit, Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach, Research and Innovation Centre, Via E. Mach 1, I-38010 S. Michele all\u2019Adige, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2012,7,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1641\/0006-3568(2004)054[0523:UISTSE]2.0.CO;2","article-title":"Using imaging spectroscopy to study ecosystem processes and properties","volume":"53","author":"Ustin","year":"2004","journal-title":"BioScience"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"S78","DOI":"10.1016\/j.rse.2008.10.018","article-title":"Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies","volume":"113","author":"Kokaly","year":"2009","journal-title":"Remote Sens. Environ"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1111\/j.1472-4642.2011.00761.x","article-title":"Benefits of hyperspectral remote sensing for tracking plant invasions","volume":"17","author":"He","year":"2011","journal-title":"Divers. Distrib"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"517","DOI":"10.3732\/ajb.93.4.517","article-title":"Variability in leaf optical properties of mesoamerican trees and the potential for species classification","volume":"93","author":"Rivard","year":"2006","journal-title":"Am. J. Bot"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/0034-4257(94)90013-2","article-title":"How unique are spectral signatures?","volume":"49","author":"Price","year":"1994","journal-title":"Remote Sens. Environ"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2513","DOI":"10.1016\/j.rse.2011.05.011","article-title":"Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscape","volume":"115","author":"Feilhauer","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1890\/09-1999.1","article-title":"Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests","volume":"21","author":"Asner","year":"2011","journal-title":"Ecol. Appl"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"967","DOI":"10.2307\/2845830","article-title":"Modeling present and potential future ranges of some European higher plants using climate response surfaces","volume":"22","author":"Huntley","year":"1995","journal-title":"J. Biogeogr"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1111\/j.0906-7590.2004.03740.x","article-title":"Modelling species distributions in Britain: A hierarchical integration of climate and land-cover data","volume":"27","author":"Pearson","year":"2004","journal-title":"Ecography"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/BF00039976","article-title":"New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting procedures","volume":"55","author":"Austin","year":"1984","journal-title":"Vegetatio"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"473","DOI":"10.2307\/3235973","article-title":"Current problems of environmental gradients and species response curves in relation to continuum theory","volume":"5","author":"Austin","year":"1994","journal-title":"J. Veg. Sci"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/S0304-3800(00)00354-9","article-title":"Predictive habitat distribution models in ecology","volume":"135","author":"Guisan","year":"2000","journal-title":"Ecol. Model"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1111\/j.1461-0248.2005.00792.x","article-title":"Predicting species distributions: Offering more than simple habitat models","volume":"8","author":"Guisan","year":"2005","journal-title":"Ecol. Lett"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1101\/SQB.1957.022.01.039","article-title":"Concluding remarks","volume":"22","author":"Hutchinson","year":"1957","journal-title":"Cold Spring Harbor Symposium on Quantitative Biology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1023\/A:1009841519580","article-title":"GLM versus CCA spatial modeling of plant species distribution","volume":"143","author":"Guisan","year":"1999","journal-title":"Plant Ecol"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.ecolmodel.2006.04.004","article-title":"Very high resolution digital elevation models: Do they improve models of plant species distribution?","volume":"198","author":"Lassueur","year":"2006","journal-title":"Ecol. Model"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1111\/j.1466-8238.2002.00304.x","article-title":"Modelling potential impacts of climate change on the bioclimatic envelope of species in Britain and Ireland","volume":"11","author":"Berry","year":"2002","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1046\/j.1466-822X.2003.00042.x","article-title":"Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?","volume":"12","author":"Pearson","year":"2003","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1177\/0309133306071957","article-title":"Methods and uncertainties in bioclimatic envelope modelling under climate change","volume":"30","author":"Heikkinen","year":"2006","journal-title":"Progr. Phys. Geogr"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1111\/j.1466-822X.2004.00092.x","article-title":"Patterns of floristic richness in vegetation communities of California: Regional scale analysis with multi-temporal NDVI","volume":"13","author":"Fairbanks","year":"2004","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.actao.2008.07.006","article-title":"Linking variability in species composition and MODIS NDVI based on beta diversity measurements","volume":"35","author":"He","year":"2009","journal-title":"Acta Oecol"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1890\/1540-9295(2006)004[0012:ATHSMF]2.0.CO;2","article-title":"A tamarisk habitat suitability map for the continental United States","volume":"4","author":"Morisette","year":"2006","journal-title":"Front. Ecol. Environ"},{"key":"ref_23","first-page":"135","article-title":"Effects of species\u2019 ecology on the accuracy of distribution models","volume":"30","author":"McPherson","year":"2007","journal-title":"Ecography"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1111\/j.1365-2664.2007.01348.x","article-title":"Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah","volume":"44","author":"Zimmermann","year":"2007","journal-title":"J. Appl. Ecol"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1111\/j.1365-2699.2007.01858.x","article-title":"Predicting species distributions across the Amazonian and Andean regions using remote sensing data","volume":"35","author":"Buermann","year":"2008","journal-title":"J. Biogeogr"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"393","DOI":"10.3390\/rs1030393","article-title":"Potential species distribution of Balsam Fir based on the integration of biophysical variables derived with remote sensing and process-based methods","volume":"1","author":"Hassan","year":"2009","journal-title":"Remote Sens"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1111\/j.1466-8238.2007.00347.x","article-title":"Environmental data sets matter in ecological niche modelling: An example with Solenopsis invicta and Solenopsis richteri","volume":"17","author":"Peterson","year":"2008","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.ecolmodel.2007.09.024","article-title":"Predicting geographical distribution models of high-value timber trees in the Amazon Basin using remotely sensed data","volume":"211","author":"Saatchi","year":"2008","journal-title":"Ecol. Model"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1111\/j.1472-4642.2011.00855.x","article-title":"Satellite surface reflectance improves habitat distribution mapping: A case study on heath and shrub formations in the Cantabrian Mountains (NW Spain)","volume":"18","author":"Elith","year":"2012","journal-title":"Divers. Distrib"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1002\/joc.1276","article-title":"Very high resolution interpolated climate surfaces for global land areas","volume":"25","author":"Hijmans","year":"2005","journal-title":"Int. J. Climatol"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1080\/01431168608948944","article-title":"Satellite remote sensing for primary production","volume":"7","author":"Tucker","year":"1986","journal-title":"Int. J. Remote Sens"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.ecoinf.2009.01.003","article-title":"Testing the correlation between species diversity and productivity among global ecoregions, biomes, and biogeographical realms","volume":"4","author":"He","year":"2009","journal-title":"Ecol. Inform"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/0034-4257(83)90053-6","article-title":"Satellite remote sensing of total dry matter production in the Senegalese Sahel","volume":"13","author":"Tucker","year":"1983","journal-title":"Remote Sens. Environ"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7","DOI":"10.2307\/2479933","article-title":"The individualistic concept of the plant association","volume":"53","author":"Gleason","year":"1926","journal-title":"Bull. Torrey Bot. Club"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"253","DOI":"10.2307\/2484142","article-title":"\u201cIndividualistic Ecologist\u201d 1882\u20131975: His contributions to ecological theory","volume":"102","author":"McIntosh","year":"1975","journal-title":"Bull. Torrey Bot. Club"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0169-7439(01)00155-1","article-title":"PLS-regression: A basic tool of chemometrics","volume":"58","author":"Wold","year":"2001","journal-title":"Chemom. Intel. Lab. Syst"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3958","DOI":"10.1016\/j.rse.2008.07.003","article-title":"Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels","volume":"112","author":"Asner","year":"2008","journal-title":"Remote Sen. Environ"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TGRS.2003.813135","article-title":"Prediction of Eucalypt foliage nitrogen content from satellite-derived hyperspectral data","volume":"41","author":"Coops","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/S0034-4257(03)00131-7","article-title":"Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and Partial Least Squares regression","volume":"86","author":"Hansen","year":"2003","journal-title":"Remote Sens. Environ"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/S0269-7491(03)00266-5","article-title":"Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains","volume":"127","author":"Kooistra","year":"2004","journal-title":"Environ. Poll"},{"key":"ref_42","first-page":"339","article-title":"Regional variation in foliar chemistry and N cycling among forests of diverse history and composition","volume":"83","author":"Ollinger","year":"2002","journal-title":"Ecology"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1111\/j.1654-1103.2011.01370.x","article-title":"Mapping plant strategy types using remote sensing","volume":"23","author":"Schmidtlein","year":"2012","journal-title":"J. Veg. Sci"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0950-3293(99)00039-7","article-title":"Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)","volume":"11","author":"Martens","year":"2000","journal-title":"Food Qual. Pref"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/BF00033449","article-title":"North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer","volume":"64","author":"Goward","year":"1985","journal-title":"Vegetatio"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1111\/j.1529-8817.2003.00784.x","article-title":"Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data","volume":"10","author":"Zhang","year":"2004","journal-title":"Glob. Change Biol"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1080\/01431160210154812","article-title":"Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA","volume":"24","author":"Wang","year":"2003","journal-title":"Int. J. Remote Sens"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"L24406","DOI":"10.1029\/2007GL031485","article-title":"Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America","volume":"34","author":"Sun","year":"2007","journal-title":"Geophys. Res. Lett"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2737","DOI":"10.1890\/03-5304","article-title":"Predicting woody-plant species richness in tropical dry forests: A case study from South Florida, USA","volume":"15","author":"Gillespie","year":"2005","journal-title":"Ecol. Appl"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0140-1963(18)30825-5","article-title":"A study of rainfall and vegetation dynamics in the African Sahel using normalized difference vegetation index","volume":"19","author":"Malo","year":"1990","journal-title":"J. Arid Environ"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/0034-4257(94)90039-6","article-title":"The influences of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. II. NDVI response to soil moisture","volume":"50","author":"Farrar","year":"1994","journal-title":"Remote Sens. Environ"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.1080\/014311697217819","article-title":"An assessment of AVHRR\/NDVI\u2013ecoclimatological relations in Nebraska, USA","volume":"18","author":"Yang","year":"1997","journal-title":"Int. J. Remote Sens"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/0273-1177(93)90559-T","article-title":"Global correlation of temperature, NDVI and precipitation","volume":"13","author":"Schultz","year":"1993","journal-title":"Adv. Space Res"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1429","DOI":"10.1175\/1520-0442(1996)009<1429:OTDAUO>2.0.CO;2","article-title":"On the development and use of homogenized climate datasets","volume":"9","author":"Easterling","year":"1997","journal-title":"J. Clim"},{"key":"ref_55","unstructured":"Landsberg, H.E. (1981). The Urban Climate, Academic Press. International Geophysical Series."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1175\/1520-0450(1986)025<1265:UW>2.0.CO;2","article-title":"Urban warming","volume":"25","author":"Kukla","year":"1986","journal-title":"J. Climate Appl. Meteor"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1175\/1520-0477(1993)074<1007:ANPORG>2.0.CO;2","article-title":"A new perspective on recent global warming","volume":"74","author":"Karl","year":"1993","journal-title":"Bull. Am. Meteorol. Soc"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1175\/1520-0442(1996)009<2941:TIOLUC>2.0.CO;2","article-title":"The influence of land use land cover on climatological values of the diurnal temperature range","volume":"9","author":"Gallo","year":"1996","journal-title":"J. Clim"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/s00704-002-0715-3","article-title":"Empirical estimation of the monthly-mean daily temperature range","volume":"74","author":"Geerts","year":"2003","journal-title":"Theor. Appl. Climatol"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"L05705","DOI":"10.1029\/2005GL024780","article-title":"Diurnal temperature range over the United States: A satellite view","volume":"33","author":"Sun","year":"2006","journal-title":"Geophys. Res. Lett"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"3369","DOI":"10.1080\/01431160310001654464","article-title":"Identification of the spectral characteristics of British semi-natural upland vegetation using direct ordination: A case study from Dartmoor, UK","volume":"25","author":"Armitage","year":"2004","journal-title":"Int. J. Remote Sens"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1111\/j.1654-1103.2007.tb02523.x","article-title":"Mapping the floristic continuum: Ordination space position estimated from imaging spectroscopy","volume":"18","author":"Schmidtlein","year":"2007","journal-title":"J. Veg. Sci"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1016\/j.rse.2010.02.006","article-title":"Quantifying empirical relations between planted species mixtures and canopy reflectance with PROTEST","volume":"114","author":"Feilhauer","year":"2010","journal-title":"Remote Sens. Environ"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1111\/j.1365-2664.2006.01164.x","article-title":"Making better biogeographic predictions of species distribution","volume":"43","author":"Guisan","year":"2006","journal-title":"J. Appl. Ecol"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1111\/j.1466-8238.2007.00334.x","article-title":"Spatial autocorrelation and the selection of simultaneous autoregressive models","volume":"17","author":"Kissling","year":"2008","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.2307\/1939924","article-title":"Spatial autocorrelation: Trouble or new paradigm?","volume":"74","author":"Legendre","year":"1993","journal-title":"Ecology"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1046\/j.1466-822X.2003.00322.x","article-title":"Spatial autocorrelation and red herrings in geographical ecology","volume":"12","author":"Bini","year":"2003","journal-title":"Glob. Ecol. Biogeogr"},{"key":"ref_68","first-page":"129","article-title":"Effects of incorporating spatial autocorrelation into the analysis of species distribution data","volume":"16","author":"Dormann","year":"2007","journal-title":"Ecography"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"305","DOI":"10.3112\/erdkunde.2007.04.01","article-title":"Geographic patterns of vascular plant diversity at continental to global scales","volume":"61","author":"Barthlott","year":"2007","journal-title":"Erdkunde"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1111\/j.1365-2699.2005.01272.x","article-title":"Global patterns of plant diversity and floristic knowledge","volume":"32","author":"Kier","year":"2005","journal-title":"J. Biogeogr"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1046\/j.1461-0248.2000.00143.x","article-title":"On the relationship between niche and distribution","volume":"3","author":"Pulliam","year":"2000","journal-title":"Ecol. Lett"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"4301","DOI":"10.1016\/j.rse.2008.07.016","article-title":"The role of environmental context in mapping invasive plants with hyperspectral image data","volume":"112","author":"Andrew","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/S0034-4257(03)00096-8","article-title":"Mapping non-native plants using hyperspectral imagery","volume":"86","author":"Underwood","year":"2003","journal-title":"Remote Sens. Environ"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1677","DOI":"10.1111\/j.1365-2699.2006.01584.x","article-title":"Five (or so) challenges for species distribution modelling","volume":"33","author":"Guisan","year":"2006","journal-title":"J. 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