Skip to main content

Towards quantifying tropical tree species richness in tropical forests

Buy Article:

$60.90 plus tax (Refund Policy)

Abstract:

This letter reports tests of whether the normalized difference vegetation index (NDVI) from Landsat Enhanced Thematic Mapper Plus (ETM+) and radar backscatter (C-, L- and P-bands) from Airborne Synthetic Aperture Radar (AIRSAR) imagery can be used to estimate tree species richness from 25 1-ha plots within continuous lowland forest types (dry, moist, wet) in the Panama Canal Zone Watershed. Species richness for trees ranged from 49 to 98 species per ha. There was no evidence that density, basal area, above-ground biomass or P-backscatter was correlated with tree species richness. Mean and standard deviations (SDs) of the NDVI could explain 39% and 37% of the variance in tree species richness, respectively (41% when combined), while mean radar backscatter in the shorter wavelength C- and L-bands could explain 44% and 33% of the variance in tree species richness, respectively (50% when combined).

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160802524552

Affiliations: 1: Department of Geography, University of California Los Angeles, Los Angeles, CA 90095-1524, USA 2: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA 3: Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA

Publication date: 2009-01-01

More about this publication?
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more