Using Automated Point Dendrometers to Analyze Tropical Treeline Stem Growth at Nevado de Colima, Mexico

Loading...
Thumbnail Image

Authors

Biondi, Franco
Hartsough, Peter C.

Issue Date

2010

Type

Article

Language

Keywords

point dendrometers , radial growth , tree rings , dendroecology , high elevation ecosystems , Mexican mountain pine , Pinus hartwegii Lindl , Volcan de Fuego

Research Projects

Organizational Units

Journal Issue

Alternative Title

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.

Description

Citation

Biondi, F., and P. Hartsough. Using automated point dendrometers to analyze tropical treeline stem growth at Nevado de Colima, Mexico. Sensors 10: 5827-5844

Publisher

License

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

Journal

Volume

Issue

PubMed ID

ISSN

1424-8220

EISSN

Collections