2016
DOI: 10.2989/10220119.2016.1271013
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Exploring the invasion of rangelands by Acacia mearnsii (black wattle): biophysical characteristics and management implications

Abstract: Australian Acacias have spread to many parts of the world. In South Africa, species such as A. mearnsii and A. dealbata are invasive. Consequently, more effort has focused on their clearing. In a context of increasing clearing costs, it is crucial to develop innovative ways of managing invasions. Our aim was to understand the biophysical properties of A. mearnsii in grasslands as they relate to grass production and to explore management implications. Aboveground biomass (AGB) of A. mearnsii was determined usin… Show more

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Cited by 27 publications
(25 citation statements)
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“…shade-tolerant species under A. dealbata. The reduced light availability also leads to lower grass productivity through the reduction of specific leaf area index (LAI) thresholds (Gwate et al 2016). However, A. dealbata did not reduce the light availability in broad-leaf native forests .…”
Section: Effects On Ecosystemsmentioning
confidence: 99%
“…shade-tolerant species under A. dealbata. The reduced light availability also leads to lower grass productivity through the reduction of specific leaf area index (LAI) thresholds (Gwate et al 2016). However, A. dealbata did not reduce the light availability in broad-leaf native forests .…”
Section: Effects On Ecosystemsmentioning
confidence: 99%
“…This LC map was classified from multi-temporal Landsat 7 Enhanced Thematic Mapper imagery using primarily conventional per-pixel classifiers based on 2000-2001 conditions [32] with a minimum mapping unit of 1-2 ha [60] and 45 classes [32]. The year 2000 also corresponds to the launch of the Moderate Resolution Imaging Spectroradiometer (MODIS) satellites (Terra and Aqua) providing science quality data with high temporal and spectral resolution and intermediate spatial resolution [61] used in other modelling and comparison studies in this project [38].…”
Section: Data Selectionmentioning
confidence: 99%
“…Classes were assigned from aerial photography (dated July 2000: Chief Directorate: National Geospatial Information (CD: NGI)) using the eight-class LC legend (Table 1). In addition, a new LC dataset was generated through image processing to represent the second time step (T2) for 2014, 15 years later [42], corresponding to the collection of field data [38].…”
Section: Data Selectionmentioning
confidence: 99%
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