• Atkinson MD, Jervis AP, Sangha RS. 1997. Discrimination between Betula pendula, Betula pubescens, and their hybrids using near-infrared reflectance spectroscopy. Canadian Journal of Forest Research 27: 18961900.
  • Barnes RJ, Dhanoa MS, Lister SJ. 1989. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Applied Spectroscopy 43: 772777.
  • Bolster KL, Martin ME, Aber JD. 1996. Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectance: a comparison of statistical methods. Canadian Journal of Forest Research 26: 590600.
  • Card DH, Peterson DL, Matson PA, Aber JD. 1988. Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy. Remote Sensing of Environment 26: 123147.
  • Curran PJ. 1989. Remote sensing of foliar chemistry. Remote Sensing of Environment 30: 271278.
  • Foley WJ, McIlwee A, Lawler I, Aragones L, Woolnough AP, Berding N. 1998. 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. Oecologia 116: 293305.
  • Gamon JA, Qiu H. 1999. Ecological applications of remote sensing at multiple scales. In: PugnaireFI, ValladaresF, eds. Handbook of functional plant ecology. New York, USA: Marcel Dekker, 805846.
  • Gillon D, Houssard C, Joffre R. 1999a. Using near-infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material. Oecologia 118: 173182.
  • Gillon D, Joffre R, Ibrahima A. 1999b. Can litter decomposability be predicted by near infrared reflectance spectroscopy? Ecology 80: 175186.
  • Gong P, Pu R, Yu B. 1997. Conifer species recognition: An exploratory analysis of in situ hyperspectral data. Remote Sensing of Environment 62: 189200.
  • Grossman YL, Ustin SL, Jacquemoud S, Sanderson EW, Schmuck G, Verdebout J. 1996. Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data. Remote Sensing of Environment 56: 182193.
  • Hallett RA, Hornbeck JW, Martin ME. 1997. Predicting elements in white pine and red oak foliage with visible-near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy 5: 7782.
  • Kemsley EK, Ruault S, Wilson RH. 1995. Discrimination between Coffea arabica and Coffea canephora variant robusta beans using infrared spectroscopy. Food Chemistry 54: 321326.
  • Lacaze B, Joffre R. 1994. Extracting biochemical information from visible and near infrared reflectance spectroscopy of fresh and dried leaves. Journal of Plant Physiology 144: 277281.
  • Lister SJ, Dhanoa MS, Stewart JL, Gill M. 2000. Classification and comparison of Gliricidia provenances using near infrared reflectance spectroscopy. Animal Feed Science and Technology 86: 221238.
  • McGarigal K, Cushman S, Stafford S. 2000. Multivariate statistics for wildlife and ecology research. New York, USA: Springer.
  • Nilsson M, Elmqvist T, Carlsson U. 1994. Use of near-infrared reflectance spectrometry and multivariate data analysis to detect anther smut disease (Microbotryum violaceum) in Silene dioica. Phytopathology 84: 764770.
  • Reeves JB. 1995. Near-infrared analysis of animal feedstuffs: Practical and theoretical considerations. In: Editor A, ed. L’analyse Des Aliments Du Bétail. Drummondville, Quebec, Canada: Auberge Universel, 2042.
  • Reeves JB. 2001. Near-infrared diffuse reflectance spectroscopy for the analysis of poultry manures. Journal of Agricultural and Food Chemistry 49: 21932197.
  • Reeves JB, Van Kessel JS. 2000. Near-infrared spectroscopic determination of carbon, total nitrogen, and ammonium-N in dairy manures. Journal of Dairy Science 83: 18291836.
  • Richardson AD. In press. Foliar chemistry of balsam fir and red spruce in relation to elevation and the canopy light gradient in the mountains of the northeastern United States. Plant and Soil .
  • Richardson AD. 2003. Ecophysiological and morphological responses of balsam fir and red spruce to elevation and the canopy light gradient in the mountains of the northeastern United States. PhD thesis, School of Forestry & Environmental Studies, Yale University, New Haven, CT, USA.
  • Richardson AD, Duigan SP, Berlyn GP. 2002. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 153: 185194.
  • Wessman CA, Aber JD, Peterson DL, Melillo JM. 1988. Foliar analysis using near infrared reflectance spectroscopy. Canadian Journal of Forest Research 18: 611.
  • Williams BK. 1983. Some observations on the use of discriminant analysis in ecology. Ecology 64: 12831291.
  • Williams P, Norris K. 2001. Near-infrared technology in the agricultural and food industries, 2nd edn. St. Paul, MN, USA: American Association of Cereal Chemists, Inc.