dc.contributor.author |
Raw, JL
|
|
dc.contributor.author |
Godbold, JA
|
|
dc.contributor.author |
Van Niekerk, Lara
|
|
dc.contributor.author |
Adams, JB
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|
dc.date.accessioned |
2019-12-18T09:53:58Z |
|
dc.date.available |
2019-12-18T09:53:58Z |
|
dc.date.issued |
2019-10 |
|
dc.identifier.citation |
Raw, J.L., Godbold, J.A., Van Niekerk, L. & Adams, J.B. 2019. Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit. Estuarine, Coastal and Shelf Science, 226, pp. 1-8 |
en_US |
dc.identifier.issn |
0272-7714 |
|
dc.identifier.issn |
1096-0015 |
|
dc.identifier.uri |
https://doi.org/10.1016/j.ecss.2019.106296
|
|
dc.identifier.uri |
https://www.sciencedirect.com/science/article/pii/S0272771419300502
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11269
|
|
dc.description |
Copyright: 2019 Elsevier. Due to copyright restrictions, the attached PDF file contains the abstract version of the full-text item. For access to the full-text item, please consult the publisher's website. The definitive version of the work is published in Estuarine, Coastal and Shelf Science, 226, pp. 1-8 |
en_US |
dc.description.abstract |
Mangrove distribution patterns at regional scales are influenced by additional factors besides temperature and rainfall regimes. This study identified abiotic drivers of mangrove area cover along the high-energy, wave-dominated coastline of South Africa. This is one of the southernmost locations globally for mangroves. A structural equation model (SEM) was used to delineate relationships between multiple variables that represented climatic and geomorphological drivers of current mangrove distribution patterns. Floodplain area, inlet stability, and the flow regime of the estuary were identified as significant predictors of mangrove area. The results of this study confirm that for this region mangrove distribution is controlled by coastal topographical features and estuarine dynamics rather than temperature minima. This is similar to other high-energy, wave-dominated coasts of Australia, Brazil, and New Zealand. Future research should, therefore, incorporate regional-scale factors that restrict current distributions as they could inform on potential limitations to expansion, particularly for southern hemisphere range limits. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.relation.ispartofseries |
Workflow;22923 |
|
dc.subject |
Biogeographic patterns |
en_US |
dc.subject |
Climatic drivers |
en_US |
dc.subject |
Geomorphological drivers |
en_US |
dc.subject |
Structural equation modelling |
en_US |
dc.title |
Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Raw, J., Godbold, J., Van Niekerk, L., & Adams, J. (2019). Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit. http://hdl.handle.net/10204/11269 |
en_ZA |
dc.identifier.chicagocitation |
Raw, JL, JA Godbold, Lara Van Niekerk, and JB Adams "Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit." (2019) http://hdl.handle.net/10204/11269 |
en_ZA |
dc.identifier.vancouvercitation |
Raw J, Godbold J, Van Niekerk L, Adams J. Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit. 2019; http://hdl.handle.net/10204/11269. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Raw, JL
AU - Godbold, JA
AU - Van Niekerk, Lara
AU - Adams, JB
AB - Mangrove distribution patterns at regional scales are influenced by additional factors besides temperature and rainfall regimes. This study identified abiotic drivers of mangrove area cover along the high-energy, wave-dominated coastline of South Africa. This is one of the southernmost locations globally for mangroves. A structural equation model (SEM) was used to delineate relationships between multiple variables that represented climatic and geomorphological drivers of current mangrove distribution patterns. Floodplain area, inlet stability, and the flow regime of the estuary were identified as significant predictors of mangrove area. The results of this study confirm that for this region mangrove distribution is controlled by coastal topographical features and estuarine dynamics rather than temperature minima. This is similar to other high-energy, wave-dominated coasts of Australia, Brazil, and New Zealand. Future research should, therefore, incorporate regional-scale factors that restrict current distributions as they could inform on potential limitations to expansion, particularly for southern hemisphere range limits.
DA - 2019-10
DB - ResearchSpace
DP - CSIR
KW - Biogeographic patterns
KW - Climatic drivers
KW - Geomorphological drivers
KW - Structural equation modelling
LK - https://researchspace.csir.co.za
PY - 2019
SM - 0272-7714
SM - 1096-0015
T1 - Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit
TI - Drivers of mangrove distribution at the high-energy, wave-dominated, southern African range limit
UR - http://hdl.handle.net/10204/11269
ER -
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en_ZA |