FoleyW.McLlweeA.LawlerI.AragonesL.WoolnoughA. and BerdlngN., “Ecological applications of near infrared reflectance spectroscopy – a tool for rapid, cost-effective prediction of the composition of plant and animal tissues and aspects of animal performance”, Oecologia116, 293–305 (1998). doi: https://dx-doi-org.web.bisu.edu.cn/10.1007/s004420050591
MartinM. and AberJ., “High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes”, Ecol. Appl.7, 431–443 (1997). doi: https://dx-doi-org.web.bisu.edu.cn/10.2307/2269510
4.
MooreB.LawlerI.WallisI.BealeC. and FoleyW., “Palatability mapping: A koala's eye view of spatial variation in habitat quality”, Ecology91, 3165–3176 (2010). doi: https://dx-doi-org.web.bisu.edu.cn/10.1890/09-1714.1
BendoulaR.BelliniS. and RogerJ.M., “Simulation method design to link the spectral properties of dense microalgal culture to cell physiology”, 17th International Conference, Foz Do Iguassu, Brazil.OP14 (2015).
7.
CasaleM.GiordaniP.MalaspinaP.SimonettiR. and BagnascoL., “Discrimination between lichens according to their exposure to pollutants by NIR spectroscopy”, 17th International Conference, Foz Do Iguassu, Brazil.P005 (2015).
8.
GreylingM.D., “Sex and age related distinctions in the feeding ecology of the African elephant, Loxodonta africana”, PhD Dissertation. Center for African Ecology, University of Witwatersrand, Johannesburg, South Africa.
WindleyH.WallisI.DeGabrielJ.MooreB.JohnsonC. and FoleyW., “A faecal index of diet quality that predicts reproductive success in a marsupial folivore”, Oecologia173, 203–212 (2013). doi: https://dx-doi-org.web.bisu.edu.cn/10.1007/s00442-013-2616-9
LawlerI.AragonesL.BerdingN.MarshH. and FoleyW., “Near-infrared reflectance spectroscopy is a rapid, cost-effective pre-dictor of seagrass nutrients”, J. Chem. Ecol.32, 1353–1365 (2006). doi: https://dx-doi-org.web.bisu.edu.cn/10.1007/s10886-006-9088-x
WilliamsC.MeirJ. and PonganisP.“What triggers the aerobic dive limit? Patterns for muscle oxygen depletion during dives of emperor penguins”, J. Exp. Biol.214, 18021812 (2011). doi: https://dx-doi-org.web.bisu.edu.cn/10.1242/jeb.052233
15.
RojasH. and Rodriguez-FernandezJ., “Near infrared spectroscopy in hairs: A rapid and non-invasive identification of species and sex in primates”, 17th International Conference, Foz Do Iguassu, Brazil.P035 (2015).
16.
VanceC.KoubaA. and WillardS., “Near infrared spectroscopy applications in amphibian ecology and conservation: Gender and species identification”, NIR news25(4), 8–11 (2014). doi: https://dx-doi-org.web.bisu.edu.cn/10.1255/nirn.1444
17.
ArayaJ.CastilloR.DolibainaD. and FernandezRodriguez J., “Classification of cryptic Lepidoptera species through near and middle infrared spectroscopy and multivariate analysis techniques”, 17th International Conference, Foz Do Iguassu, Brazil.OP12 (2015).
18.
IversonS.ArnouldJ. and BoydI., “Milk fatty acid signatures indicate both major and minor shifts in the diet of lactating Antarctic fur seals”, Can. J. Zoology75, 188–197 (1997). doi: https://dx-doi-org.web.bisu.edu.cn/10.1139/z97-026
JinendraB.TamakiK.KurokiS.Vassi-LevaM.YoshidaS. and TsenkovaR., “Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnostics of virus infected soybean”, Biochem. Biophys. Res. Commun.397, 685 (2010). doi: https://dx-doi-org.web.bisu.edu.cn/10.1016/j.bbrc.2010.06.007
21.
KinoshitaK.MiyazakiM.MoritaH.Vas-SilevaM.TangC.LiD.IshikawaO.Kusu-NokiH. and TsenkovaR., “Spectral pattern of urinary water as a biomarker of estrus in the giant panda”, Sci. Reports2, 856 (2012). doi: https://dx-doi-org.web.bisu.edu.cn/10.1038/srep00856
22.
KinoshitaK.KuzeN.KobayashiT.MiyakawaE.NaritaH.Inoue-MurayamaM.IdaniG. and TsenkovaR., “Detection of urinary estrogen conjugates and creatinine using near infrared spectroscopy in Bornean orangutans (Pongo pygmaeus)”, Primates57, 51–59 (2016). doi: https://dx-doi-org.web.bisu.edu.cn/10.1007/s10329-015-0501-3
23.
SikuluM.MasabhoP.HenryM.LysenkoN.MaiaR.A.M.DowellF. and DevineG., “The use of near-infrared spectroscopy as a surveillance tool for mosquito control programs”, 17th International Conference, Foz Do Iguassu, Brazil.P038 (2015).
24.
Mello-SilvaC.ThiengoS.FernandezM.VidalC. and PasquiniC., “NIR and hyperspectral imaging in the diagnostic of the snails intermediate hosts of Schistosomiasis in Brazil”, 17th International Conference, Foz Do Iguassu, Brazil.P014 (2015).
25.
KrepelkaP. and DrexlerP., “NIR Spectroscopy for bacterial identification”, 17th International Conference, Foz Do Iguassu, Brazil.P077 (2015).
26.
ZangeriéA., “Identification of earthworm burrow origins by near infrared spectroscopy: Combining results from field sites and laboratory microcosms”, 17th International Conference, Foz Do Iguassu, Brazil.P041 (2015).
27.
Camacho-TamayoJ.Forero-CabreraN.Ramírez-LópezL. and Rubiano-SanabriaY., “Near-infrared spectroscopic assessment of soil texture in an oxisol of the eastern plains of Colombia”, 17th International Conference, Foz Do Iguassu, Brazil.P160 (2015).
28.
BimontP.HassenA.TesfamariamE.TillardE.NabenezaS.DardenneP. and SalgadoP., “The use of portable NIRS instrument for in situ soil analysis and fertility diagnosis”, 17th International Conference, Foz Do Iguassu, Brazil.P102 (2015).
29.
AltinpinarS.SorakD. and SieslerH.W., “Near infrared spectroscopic analysis of hydrocarbon contaminants in soil with a handheld spectrometer”, J. Near Infrared Spectrosc.21, 511–521 (2013). doi: https://dx-doi-org.web.bisu.edu.cn/10.1255/jnirs.1079
30.
KaboréT.W.PansuM.A.HienE.BrunetD.BarthésB.G.HouotS.CoulibalyA.ZombréP.ThuriésL. and MasseD., “Near infrared reflectance spectroscopy applied to model the transformation of added organic materials in soil”, J. Near Infrared Spectrosc.20, 339–351 (2012). doi: https://dx-doi-org.web.bisu.edu.cn/10.1255/jnirs.1000
31.
FoleyW., “Near infrared reflectance spectroscopy in ecological studies of plant–animal interactions”, Spectroscopy Europe21(5), 6–9 (2009). http://bit.ly/1nnyDjB