The University of Southampton
University of Southampton Institutional Repository

Forest regeneration on abandoned clearances in central Amazonia

Forest regeneration on abandoned clearances in central Amazonia
Forest regeneration on abandoned clearances in central Amazonia
A time-series of Landsat and SPOT sensor data was used to approximate the age of tropical forests regenerating on abandoned agricultural land north of Manaus, Brazil, and to estimate the period of active land use prior to abandonment. Based on field data, two distinct regeneration pathways, dominated by the pioneer genera Cecropia and Vismia, respectively, were described, with the former regenerating on the least intensively used sites. Forests of mixed species composition and lacking numerical dominance by pioneer species were also observed. Transformed Divergence Analysis of Landsat Thematic Mapper (TM) radiance data revealed that forests of varying age and following different regeneration pathways were best discriminated using mid infrared (1.55-1.74?m) wavelengths. As rates of carbon sequestration by forests vary with age and regeneration pathway, the potential exists for refining spatial estimates of the carbon balance of tropical forests regenerating on abandoned agricultural lands.
0143-1161
965-988
Lucas, R.M.
0cb45ac5-a445-47eb-9f43-1a7c743a5f5a
Honzák, M.
7c016227-fd47-4f75-a3b3-3328974d1ec6
do Amaral, I.
24b8b1e4-c5f7-46da-838d-f61bb25a6818
Curran, P.J.
3f5c1422-c154-4533-9c84-f2afb77df2de
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Lucas, R.M.
0cb45ac5-a445-47eb-9f43-1a7c743a5f5a
Honzák, M.
7c016227-fd47-4f75-a3b3-3328974d1ec6
do Amaral, I.
24b8b1e4-c5f7-46da-838d-f61bb25a6818
Curran, P.J.
3f5c1422-c154-4533-9c84-f2afb77df2de
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37

Lucas, R.M., Honzák, M., do Amaral, I., Curran, P.J. and Foody, G.M. (2002) Forest regeneration on abandoned clearances in central Amazonia. International Journal of Remote Sensing, 23 (5), 965-988. (doi:10.1080/01431160110069791).

Record type: Article

Abstract

A time-series of Landsat and SPOT sensor data was used to approximate the age of tropical forests regenerating on abandoned agricultural land north of Manaus, Brazil, and to estimate the period of active land use prior to abandonment. Based on field data, two distinct regeneration pathways, dominated by the pioneer genera Cecropia and Vismia, respectively, were described, with the former regenerating on the least intensively used sites. Forests of mixed species composition and lacking numerical dominance by pioneer species were also observed. Transformed Divergence Analysis of Landsat Thematic Mapper (TM) radiance data revealed that forests of varying age and following different regeneration pathways were best discriminated using mid infrared (1.55-1.74?m) wavelengths. As rates of carbon sequestration by forests vary with age and regeneration pathway, the potential exists for refining spatial estimates of the carbon balance of tropical forests regenerating on abandoned agricultural lands.

This record has no associated files available for download.

More information

Published date: 2002

Identifiers

Local EPrints ID: 15178
URI: http://eprints.soton.ac.uk/id/eprint/15178
ISSN: 0143-1161
PURE UUID: 5d639135-2198-4398-b787-43466e673fb8

Catalogue record

Date deposited: 11 Apr 2005
Last modified: 15 Mar 2024 05:35

Export record

Altmetrics

Contributors

Author: R.M. Lucas
Author: M. Honzák
Author: I. do Amaral
Author: P.J. Curran
Author: G.M. Foody

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×