Using automated point dendrometers to analyze tropical treeline stem growth at Nevado de Colima, Mexico

Sensors (Basel). 2010;10(6):5827-44. doi: 10.3390/s100605827. Epub 2010 Jun 9.

Abstract

The relationship between wood growth and environmental variability at the tropical treeline of North America was investigated using automated, solar-powered sensors (a meteorological station and two dendrometer clusters) installed on Nevado de Colima, Mexico (19° 35' N, 103° 37' W, 3,760 m a.s.l.). Pure stands of Pinus hartwegii Lindl. (Mexican mountain pine) were targeted because of their suitability for tree-ring analysis in low-latitude, high-elevation, North American Monsoon environments. Stem size and hydroclimatic variables recorded at half-hour intervals were summarized on a daily timescale. Power outages, insect outbreaks, and sensor failures limited the analysis to non-consecutive months during 2001-2003 at one dendrometer site, and during 2002-2005 at the other. Combined data from the two sites showed that maximum radial growth rates occur in late spring (May), as soil temperature increases, and incoming short-wave radiation reaches its highest values. Early season (April-May) radial increment correlated directly with temperature, especially of the soil, and with solar radiation. Stem expansion at the start of the summer monsoon (June-July) was mostly influenced by moisture, and revealed a drought signal, while late season relationships were more varied.

Keywords: Mexican mountain pine; Pinus hartwegii Lindl.; Volcán de Fuego; dendroecology; high elevation ecosystems; point dendrometers; radial growth; tree rings.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Agriculture / instrumentation
  • Agriculture / methods
  • Automation
  • Droughts
  • Electronics / instrumentation
  • Electronics / methods
  • Environmental Monitoring / instrumentation*
  • Environmental Monitoring / methods
  • Meteorology / instrumentation
  • Meteorology / methods
  • Mexico
  • Models, Theoretical
  • Plant Stems / growth & development*
  • Remote Sensing Technology / instrumentation*
  • Remote Sensing Technology / methods
  • Seasons
  • Trees / growth & development*
  • Tropical Climate*