dc.contributor.author |
Fairbanks, DHK
|
en_US |
dc.contributor.author |
Benn, GA
|
en_US |
dc.date.accessioned |
2007-01-20T12:49:27Z |
en_US |
dc.date.accessioned |
2007-06-07T10:04:11Z |
|
dc.date.available |
2007-01-20T12:49:27Z |
en_US |
dc.date.available |
2007-06-07T10:04:11Z |
|
dc.date.issued |
2000-08-30 |
en_US |
dc.identifier.citation |
Fairbanks, DHK and Benn, GA. 2000. Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa. Landscape and Urban Planning, vol. 50(4), pp 237-257 |
en_US |
dc.identifier.issn |
0169-2046 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/1435
|
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/1435
|
|
dc.description.abstract |
The application of landscape ecology in conservation biology has rarely occurred in the context of defined landscapes. Conservation planning has focussed on representation of species diversity patterns and assumed that ecosystems, landscapes and their associated processes will be equally protected. The long-term persistence of biodiversity in the face of land transformations and global change requires the representation and retention of all elements of biodiversity. This biodiversity includes landscapes, and the landscape structure and processes that maintain patterns of biodiversity. The authors have developed a method of classifying landscapes for the KwaZulu-Natal province of South Africa. The process entailed the use of 1 km grid data from climate and terrain databases. Principal components analysis coupled with a cluster classification method and spatial overlay techniques were used to identify two hierarchical levels of landscapes. Validation analysis showed that landscapes are identifiable with a classification accuracy of 86.8%. The derived landscapes can be combined separately with data on vegetation and soil to describe landscape ecosystems that potentially differ in species composition, successional dynamics, and potential productivity. The surrogate use of the landscapes in conjunction with other strategic data, for the identification of priority conservation areas, is demonstrated. |
en_US |
dc.format.extent |
1309193 bytes |
en_US |
dc.format.mimetype |
application/pdf |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier Science BV |
en_US |
dc.rights |
Copyright: 2000 Elsevier Science BV |
en_US |
dc.subject |
Landscapes |
en_US |
dc.subject |
Biodiversity |
en_US |
dc.subject |
Landscape structures |
en_US |
dc.subject |
Vegetation types |
en_US |
dc.subject |
Priority conservation areas |
en_US |
dc.subject |
Landscape ecology |
en_US |
dc.subject |
Environmental studies |
en_US |
dc.subject |
Geography |
en_US |
dc.title |
Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Fairbanks, D., & Benn, G. (2000). Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa. http://hdl.handle.net/10204/1435 |
en_ZA |
dc.identifier.chicagocitation |
Fairbanks, DHK, and GA Benn "Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa." (2000) http://hdl.handle.net/10204/1435 |
en_ZA |
dc.identifier.vancouvercitation |
Fairbanks D, Benn G. Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa. 2000; http://hdl.handle.net/10204/1435. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Fairbanks, DHK
AU - Benn, GA
AB - The application of landscape ecology in conservation biology has rarely occurred in the context of defined landscapes. Conservation planning has focussed on representation of species diversity patterns and assumed that ecosystems, landscapes and their associated processes will be equally protected. The long-term persistence of biodiversity in the face of land transformations and global change requires the representation and retention of all elements of biodiversity. This biodiversity includes landscapes, and the landscape structure and processes that maintain patterns of biodiversity. The authors have developed a method of classifying landscapes for the KwaZulu-Natal province of South Africa. The process entailed the use of 1 km grid data from climate and terrain databases. Principal components analysis coupled with a cluster classification method and spatial overlay techniques were used to identify two hierarchical levels of landscapes. Validation analysis showed that landscapes are identifiable with a classification accuracy of 86.8%. The derived landscapes can be combined separately with data on vegetation and soil to describe landscape ecosystems that potentially differ in species composition, successional dynamics, and potential productivity. The surrogate use of the landscapes in conjunction with other strategic data, for the identification of priority conservation areas, is demonstrated.
DA - 2000-08-30
DB - ResearchSpace
DP - CSIR
KW - Landscapes
KW - Biodiversity
KW - Landscape structures
KW - Vegetation types
KW - Priority conservation areas
KW - Landscape ecology
KW - Environmental studies
KW - Geography
LK - https://researchspace.csir.co.za
PY - 2000
SM - 0169-2046
T1 - Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa
TI - Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa
UR - http://hdl.handle.net/10204/1435
ER -
|
en_ZA |