The spatial distribution of the woodland communities and their associated environmental drivers in the Golden Gate Highlands National Park, South Africa

Koedoe - African Protected Area Conservation and Science

 
 
Field Value
 
Title The spatial distribution of the woodland communities and their associated environmental drivers in the Golden Gate Highlands National Park, South Africa
 
Creator Daemane, Mahlomola E. Ramoelo, Abel Adelabu, Samuel
 
Subject Biodiversity Conservation; Environmental management Afromontane; generalized linear model; environmental parameters; conservation; biodiversity
Description The extreme variability in the topography, altitude and climatic conditions in the temperate Grassland Mountains of Southern Africa is associated with the complex mosaic of grassland communities with pockets of woodland patches. Understanding the relationships between plant communities and environmental parameters is essential in biodiversity conservation, especially for current and future climate change predictions. This article focused on the spatial distribution of woodland communities and their associated environmental drivers in the Golden Gate Highlands (GGHNP) National Park in South Africa. A generalized linear model (GLM) assuming a binomial distribution, was used to determine the optimal environmental variables influencing the spatial distribution of the woodland communities. The Coefficient of Variation (CV) was relatively higher for the topographic ruggedness index (68.78%), topographic roughness index (68.03), aspect (60.04%), coarse fragments (37.46%) and the topographic wetness index (31.33) whereas soil pH, bulk density, sandy and clay contents had relatively less variation (2.39%, 3.23%, 7.56% and 8.46% respectively). In determining the optimal number of environmental variables influencing the spatial distribution of woodland communities, roughness index, topographic wetness index, soil coarse fragments, soil organic carbon, soil cation exchange capacity and remote-sensing based vegetation condition index were significant (p 0.05) and positively correlated with the woodland communities. Soil nitrogen, clay content, soil pH, fire and elevation were also significant but negatively correlated with the woodland communities. The area under the curve (AUC) of the receiver operating characteristics (ROC) was 0.81. This was indicative of a Parsimonious Model with explanatory predictive power for determination of optimal environmental variables in vegetation ecology.Conservation implications: The isolated woodland communities are sources of floristic diversity and important biogeographical links between larger forest areas in the wider Drakensberg region. They provide suitable habitats for a larger number of forest species and harbour some of the endemic tree species of South Africa. They also provide watershed protection and other important ecosystem services. Understanding the drivers influencing the spatial distribution and persistence of these woodland communities is therefore key to conservation planning in the area.
 
Publisher AOSIS Publishing
 
Contributor South African National Parks University of Free State
Date 2021-09-23
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Correlative, Survey, Polygons, Remote sensing
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/koedoe.v63i1.1672
 
Source Koedoe; Vol 63, No 1 (2021); 9 pages 2071-0771 0075-6458
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://koedoe.co.za/index.php/koedoe/article/view/1672/2879 https://koedoe.co.za/index.php/koedoe/article/view/1672/2880 https://koedoe.co.za/index.php/koedoe/article/view/1672/2881 https://koedoe.co.za/index.php/koedoe/article/view/1672/2882
 
Coverage Protected areas; Afromontane — spatial distribution
Rights Copyright (c) 2021 Mahlomola E. Daemane, Abel Ramoelo, Samuel Adelabu https://creativecommons.org/licenses/by/4.0
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