The University of Southampton
University of Southampton Institutional Repository

Remote sensing of vegetation cover dynamics and resilience across southern Africa

Remote sensing of vegetation cover dynamics and resilience across southern Africa
Remote sensing of vegetation cover dynamics and resilience across southern Africa
Southern Africa supports a significant portion of the world's floral biodiversity but predicted changes in climate are likely to cause adverse impacts on the region's ecosystems and biodiversity. Knowledge regarding the resilience of vegetation cover is important for understanding the potential impact of anthropic or climatic change. The length of time vegetation cover takes to recover from disturbances can provide an indication of ecosystem resilience. We investigated spatial and temporal patterns in the persistence of vegetation cover across southern Africa (1982–2006) and used persistence probability plots to estimate decay times of NDVI trends as a means to characterise the potential resilience of key southern African biomes. Patterns of positive and negative NDVI trend persistence were spatially coherent, indicating collective dynamic behaviour of vegetation cover. Persistence probability plots indicated differences in resilience between biomes. Mean recovery times from negative NDVI trends were shorter than for positive trends in the Savanna and Nama Karoo, whereas the Succulent Karoo exhibited the shortest mean lifetime for positive NDVI trends and one of the longest mean lifetimes for negative trend survival, implying potentially slow recovery from environmental disturbance. The results show the potential of satellite-time series data for monitoring vegetation cover resilience in semi-arid regions.
0303-2434
131-139
Harris, A.
13bbc5ce-730a-4918-b751-296ea3d60bb3
Carr, A.
85c8478c-1212-4d8b-986f-d3c212298807
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Harris, A.
13bbc5ce-730a-4918-b751-296ea3d60bb3
Carr, A.
85c8478c-1212-4d8b-986f-d3c212298807
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8

Harris, A., Carr, A. and Dash, J. (2014) Remote sensing of vegetation cover dynamics and resilience across southern Africa. International Journal of Applied Earth Observation and Geoinformation, 28, 131-139. (doi:10.1016/j.jag.2013.11.014).

Record type: Article

Abstract

Southern Africa supports a significant portion of the world's floral biodiversity but predicted changes in climate are likely to cause adverse impacts on the region's ecosystems and biodiversity. Knowledge regarding the resilience of vegetation cover is important for understanding the potential impact of anthropic or climatic change. The length of time vegetation cover takes to recover from disturbances can provide an indication of ecosystem resilience. We investigated spatial and temporal patterns in the persistence of vegetation cover across southern Africa (1982–2006) and used persistence probability plots to estimate decay times of NDVI trends as a means to characterise the potential resilience of key southern African biomes. Patterns of positive and negative NDVI trend persistence were spatially coherent, indicating collective dynamic behaviour of vegetation cover. Persistence probability plots indicated differences in resilience between biomes. Mean recovery times from negative NDVI trends were shorter than for positive trends in the Savanna and Nama Karoo, whereas the Succulent Karoo exhibited the shortest mean lifetime for positive NDVI trends and one of the longest mean lifetimes for negative trend survival, implying potentially slow recovery from environmental disturbance. The results show the potential of satellite-time series data for monitoring vegetation cover resilience in semi-arid regions.

This record has no associated files available for download.

More information

Published date: May 2014
Organisations: Global Env Change & Earth Observation

Identifiers

Local EPrints ID: 361299
URI: http://eprints.soton.ac.uk/id/eprint/361299
ISSN: 0303-2434
PURE UUID: 87e153e7-b499-4ff4-96bb-8c7e334878f1
ORCID for J. Dash: ORCID iD orcid.org/0000-0002-5444-2109

Catalogue record

Date deposited: 22 Jan 2014 10:54
Last modified: 15 Mar 2024 03:17

Export record

Altmetrics

Contributors

Author: A. Harris
Author: A. Carr
Author: J. Dash ORCID iD

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.

×