Effects of <Emphasis Type="Italic">Morella faya</Emphasis> tree invasion on aboveground carbon storage in Hawaii |
| |
Authors: | Gregory P Asner Roberta E Martin David E Knapp Ty Kennedy-Bowdoin |
| |
Institution: | (1) Department of Global Ecology, Carnegie Institution, 260 Panama Street, Stanford, CA 94305, USA |
| |
Abstract: | The negative effects of biological invasion are often the focus of ecological studies, but few have considered potential positive
impacts, such as increased carbon storage, resulting from invasion. We combined airborne imaging spectrometer and LiDAR (light
detection and ranging) observations with field measurements to assess if the highly invasive nitrogen-fixing tree Morella faya alters canopy 3-D structure and aboveground biomass (AGB) along a 1,500 mm precipitation gradient in Hawaii. Airborne analysis
of canopy water content, leaf nitrogen concentration, fractional canopy cover, and vegetation height facilitated mapping of
native- and Morella-dominated canopies in rainforest, woodland–savanna and shrubland ecosystems, with Morella detection errors ranging from 0 to 13.4%. Allometric equations were developed to relate the combined LiDAR and spectral data
to field-based AGB estimates (r
2 = 0.97, P < 0.01), and to produce a map of biomass stocks throughout native and invaded ecosystems. The structure of the invasive Morella canopies varied by ecosystem type, and the invader shaded out native understory plants in rainforest zones. Despite a 350%
increase in AGB going from shrubland to rainforest, Morella did not increase average AGB in any ecosystem it invaded. Furthermore, spatial distributions of biomass indicated that Morella decreased maximum AGB in the woodland–savanna ecosystems. We conclude that Morella tree invasion does not enhance aboveground carbon stocks in any ecosystem it invades in Hawaii, thereby minimizing its contribution
to this potentially important ecosystem service. We also found that the fusion of spectral and LiDAR remote sensing provided
canopy chemical and structural data facilitating a landscape assessment of how biological invasion alters on carbon stocks
and other ecosystem properties. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|