Title :
Arctic Tundra Vegetation Functional Types Based on Photosynthetic Physiology and Optical Properties
Author :
Huemmrich, K.F. ; Gamon, J.A. ; Tweedie, C.E. ; Campbell, P.K.E. ; Landis, David R. ; Middleton, M.
Author_Institution :
Goddard Space Flight Center, Univ. of Maryland Baltimore County, Greenbelt, MD, USA
Abstract :
Non-vascular plants (lichens and mosses) are significant components of tundra landscapes and may respond to climate change differently from vascular plants affecting ecosystem carbon balance. Remote sensing provides critical tools for monitoring plant cover types, as optical signals provide a way to scale from plot measurements to regional estimates of biophysical properties, for which spatial-temporal patterns may be analyzed. Gas exchange measurements were collected for pure patches of key vegetation functional types (lichens, mosses, and vascular plants) in sedge tundra at Barrow AK. These functional types were found to have three significantly different values of light use efficiency (LUE) with values of 0.013±0.001, 0.0018±0.0002, and 0.0012±0.0001 C mol-1 absorbed quanta for vascular plants, mosses and lichens, respectively. Discriminant analysis of the spectra reflectance of these patches identified five spectral bands that separated each of these vegetation functional types as well as nongreen material (bare soil, standing water, and dead leaves). These results were tested along a 100 m transect where midsummer spectral reflectance and vegetation coverage were measured at one meter intervals.
Keywords :
climatology; ecology; geochemistry; soil; spatiotemporal phenomena; vegetation; vegetation mapping; Alaska; Arctic tundra vegetation functional; Barrow; Earth Observing-1 Hyperion imaging spectrometer data; LUE spatial variability; area-averaged canopy LUE estimation; bare soil; biophysical properties; climate change; dead leaves; discriminant analysis; ecosystem carbon balance; functional type distributions; gas exchange measurements; hyperspectral remote sensing; in situ hyperspectral reflectance data; lichens; midsummer spectral reflectance; mosses; nongreen material; nonvascular plants; optical properties; patch-level statistical discriminant functions; photosynthetic LUE estimation; photosynthetic physiology; plant cover monitoring; regional estimation; remote sensing; spatial resolution; spatial-temporal patterns; spectral bands; spectral vegetation index; standing water; transect data; unmixing functions; vegetation chlorophyll content detection; vegetation functional distribution; Environmental factors; ecosystems; geoscience and remote sensing; hyperspectral imaging; remote sensing; vegetation mapping;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2013.2253446