dc.contributor.author |
Nel, Ryan
|
|
dc.contributor.author |
Mearns, Kevin F.
|
|
dc.contributor.author |
Jordaan, Maarten
|
|
dc.date.accessioned |
2018-06-25T14:09:24Z |
|
dc.date.available |
2018-06-25T14:09:24Z |
|
dc.date.issued |
2017 |
|
dc.identifier.citation |
Nel, R., Mearns, K. F., & Jordaan, M. (2017). Modelling informal Sand Forest harvesting using a Disturbance Index from Landsat, in Maputaland (South Africa). Ecological Informatics, 39, 1-9. doi: 10.1016/j.ecoinf.2017.02.005 |
en |
dc.identifier.issn |
1574-9541 |
|
dc.identifier.uri |
https://doi.org/10.1016/j.ecoinf.2017.02.005 |
|
dc.identifier.uri |
http://hdl.handle.net/10500/24416 |
|
dc.description.abstract |
Indigenous forests and savannah provide numerous benefits for rural communities and are
utilised as a source of firewood, building material and for woodcraft production. Currently, there
is insufficient information on the magnitude of human pressure affecting one such important
forest community, namely Sand Forest, particularly in communal areas. The temporal monitoring
of the spatial structures of forest areas, such as Sand Forest, within landscapes has been
recommended in order to detect and model deteriorating trends in the forest structures and
functioning. Remote sensing is critical in the generation of data that enables the identification
and quantification of degraded and deforested areas.
The constrained distribution and fragmented patches associated with Sand Forest, and
the effects of a declining canopy closure, resulting from selective wood harvesting, requires the
use of remote sensing techniques and procedures that could potentially account for these
characteristics. A spectral index that has been widely successful in monitoring disturbances in
forests is the Disturbance Index. The success of the Disturbance Index in detecting changes
could be attributed to the components that comprise the Disturbance Index, in that it takes into
account the relationship that exists between soil; vegetation; and canopy & soil moisture. The
suitability of determining changes could also be attributed to the approach taken by the
Disturbance Index i.e. monitoring disturbance versus a component of vegetation, such as the
Normalised Difference Vegetation Index (biomass). The rates of change derived for the study
period (1998 to 2014) provided quantified information on the magnitude of human pressure affecting Sand Forest throughout Maputaland. The rates of change showed that the accumulated
total loss in the extent of Sand Forest, across the South African section of Maputaland, was
15.53 km2 over a period of 16 years. |
en |
dc.language.iso |
en |
en |
dc.publisher |
Elsevier |
en |
dc.rights |
© All rights reserved |
|
dc.subject |
Sand Forest |
en |
dc.subject |
informal wood harvesting |
en |
dc.subject |
remote sensing |
en |
dc.subject |
Disturbance Index |
en |
dc.subject |
socioecological system |
en |
dc.subject |
Maputaland. |
en |
dc.title |
Modelling informal Sand Forest harvesting using a Disturbance Index from Landsat, in Maputaland (South Africa) |
en |
dc.type |
Article |
en |
dc.description.department |
Environmental Sciences |
en |