dc.contributor.author |
Harris, LR
|
|
dc.contributor.author |
Skowno, AL
|
|
dc.contributor.author |
Sink, KJ
|
|
dc.contributor.author |
Van Niekerk, Lara
|
|
dc.contributor.author |
Holness, SD
|
|
dc.contributor.author |
Monyeki, M
|
|
dc.contributor.author |
Majiedt, P
|
|
dc.date.accessioned |
2023-01-24T06:44:48Z |
|
dc.date.available |
2023-01-24T06:44:48Z |
|
dc.date.issued |
2022-10 |
|
dc.identifier.citation |
Harris, L., Skowno, A., Sink, K., Van Niekerk, L., Holness, S., Monyeki, M. & Majiedt, P. 2022. An indicator-based approach for cross-realm coastal biodiversity assessments. <i>African Journal of Marine Science, 44(3).</i> http://hdl.handle.net/10204/12586 |
en_ZA |
dc.identifier.issn |
1814-232X |
|
dc.identifier.issn |
1814-2338 |
|
dc.identifier.uri |
https://doi.org/10.2989/1814232X.2022.2104373
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12586
|
|
dc.description.abstract |
Ecosystem status assessments are generally separated into realm-specific analyses (terrestrial, freshwater, estuarine or marine), but without integrating these into a coherent assessment of coastal biodiversity across the land-sea interface. Trends in assessment indicators in coastal versus non-coastal areas have also rarely been considered. In this study we aimed to compile the first cross-realm national biodiversity assessment for the South African coast using three key indicators. The ecological condition, ecosystem threat status, and ecosystem protection level of coastal ecosystem types (n = 186) were determined and compared with those of non-coastal ecosystem types (n = 444). Nearly half (46.9%) of the South African coastal habitat has been degraded compared with 20% of non-coastal areas. Proportionately, there are three-times (60%) as many threatened coastal ecosystem types (or 55% by area) as there are threatened non-coastal ecosystem types (19%, 6% by area). Despite the impacted state of coastal biodiversity, protection levels are generally higher in the coastal zone (87% of ecosystem types have some protection) compared with non-coastal areas (75%), although fewer coastal ecosystem types have met their biodiversity targets (24%, vs 28% for non-coastal ecosystem types). These results illustrate the importance of using a cross-realm approach for status assessments, management and conservation of coastal biodiversity. The assessment methods described are flexible and widely applicable to other regions. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.tandfonline.com/doi/abs/10.2989/1814232X.2022.2104373 |
en_US |
dc.source |
African Journal of Marine Science, 44(3) |
en_US |
dc.subject |
Coastal management |
en_US |
dc.subject |
Ecological conditions |
en_US |
dc.subject |
Ecological indicators |
en_US |
dc.subject |
Ecosystem protection level |
en_US |
dc.subject |
Ecosystem threat status |
en_US |
dc.subject |
IUCN Red List of Ecosystems |
en_US |
dc.title |
An indicator-based approach for cross-realm coastal biodiversity assessments |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
239-253 |
en_US |
dc.description.note |
Copyright © NISC (Pty) Ltd |
en_US |
dc.description.cluster |
Smart Places |
en_US |
dc.description.impactarea |
Coastal Systems |
en_US |
dc.identifier.apacitation |
Harris, L., Skowno, A., Sink, K., Van Niekerk, L., Holness, S., Monyeki, M., & Majiedt, P. (2022). An indicator-based approach for cross-realm coastal biodiversity assessments. <i>African Journal of Marine Science, 44(3)</i>, http://hdl.handle.net/10204/12586 |
en_ZA |
dc.identifier.chicagocitation |
Harris, LR, AL Skowno, KJ Sink, Lara Van Niekerk, SD Holness, M Monyeki, and P Majiedt "An indicator-based approach for cross-realm coastal biodiversity assessments." <i>African Journal of Marine Science, 44(3)</i> (2022) http://hdl.handle.net/10204/12586 |
en_ZA |
dc.identifier.vancouvercitation |
Harris L, Skowno A, Sink K, Van Niekerk L, Holness S, Monyeki M, et al. An indicator-based approach for cross-realm coastal biodiversity assessments. African Journal of Marine Science, 44(3). 2022; http://hdl.handle.net/10204/12586. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Harris, LR
AU - Skowno, AL
AU - Sink, KJ
AU - Van Niekerk, Lara
AU - Holness, SD
AU - Monyeki, M
AU - Majiedt, P
AB - Ecosystem status assessments are generally separated into realm-specific analyses (terrestrial, freshwater, estuarine or marine), but without integrating these into a coherent assessment of coastal biodiversity across the land-sea interface. Trends in assessment indicators in coastal versus non-coastal areas have also rarely been considered. In this study we aimed to compile the first cross-realm national biodiversity assessment for the South African coast using three key indicators. The ecological condition, ecosystem threat status, and ecosystem protection level of coastal ecosystem types (n = 186) were determined and compared with those of non-coastal ecosystem types (n = 444). Nearly half (46.9%) of the South African coastal habitat has been degraded compared with 20% of non-coastal areas. Proportionately, there are three-times (60%) as many threatened coastal ecosystem types (or 55% by area) as there are threatened non-coastal ecosystem types (19%, 6% by area). Despite the impacted state of coastal biodiversity, protection levels are generally higher in the coastal zone (87% of ecosystem types have some protection) compared with non-coastal areas (75%), although fewer coastal ecosystem types have met their biodiversity targets (24%, vs 28% for non-coastal ecosystem types). These results illustrate the importance of using a cross-realm approach for status assessments, management and conservation of coastal biodiversity. The assessment methods described are flexible and widely applicable to other regions.
DA - 2022-10
DB - ResearchSpace
DP - CSIR
J1 - African Journal of Marine Science, 44(3)
KW - Coastal management
KW - Ecological conditions
KW - Ecological indicators
KW - Ecosystem protection level
KW - Ecosystem threat status
KW - IUCN Red List of Ecosystems
LK - https://researchspace.csir.co.za
PY - 2022
SM - 1814-232X
SM - 1814-2338
T1 - An indicator-based approach for cross-realm coastal biodiversity assessments
TI - An indicator-based approach for cross-realm coastal biodiversity assessments
UR - http://hdl.handle.net/10204/12586
ER -
|
en_ZA |
dc.identifier.worklist |
26190 |
en_US |