| Literature DB >> 31575090 |
Pfananani Ramulifho1, Esther Ndou2, Reuben Thifhulufhelwi3, Tatenda Dalu4.
Abstract
Rivers are now facing increasing pressure and demand to provide water directly for drinking, farming and supporting industries as a result of rapidly growing global human population. Globally, the most common practice for catchment managers is to limit water abstraction and changes to stream flow by setting environmental flow standards that guard and maintain the natural ecosystem characteristics. Since the development of the environmental flow concept and methods in South Africa, very few studies have assessed the institutional constraints towards environmental flow implementation. This study determined stream flow trends over time by fitting simple linear regression model to mean daily stream flow data at three selected stations in the Luvuvhu River Catchment (LRC). We also conducted a literature search to review, firstly the response of aquatic organisms (fish and macroinvertebrate) to changes in habitat conditions and secondly on local challenges affecting the sustainable implementation of environmental flow regime and related water resources management strategies. All the three stream flow stations show decreasing stream flow volume of 1 and 2 orders of magnitude faster in some stations with the possibility that flow will cease in the near future. Qualitative analyses from both local and international literature search found that the main challenges facing the implementation of sustainable flow strategies and management are absence of catchment management agency, lack of understanding of environmental flow benefits, limited financial budget, lack of capacity and conflict of interest. Rivers with changing stream flows tend to lose sensitive species. The development of scientifically credible catchment-wide environmental flow and abstraction thresholds for rivers within the LRC would make a major contribution in minimizing the declining stream flow volumes. Monitoring and reporting should be prioritized to give regular accounts of the state of our rivers.Entities:
Keywords: Luvuvhu Rivers; catchment management; environmental flows; stream flow; water allocation; water use
Year: 2019 PMID: 31575090 PMCID: PMC6801372 DOI: 10.3390/ijerph16193694
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Map of the Luvuvhu River catchment highlighting the major dams, gauging stations and quaternary catchments.
Description of stream flow stations used in the study.
| Flow Station | Location | River | Lat (°S) | Long (°E) | Upstream Dam | Period | Period (Years) | Data Completeness (%) | Catchment Area (km²) |
|---|---|---|---|---|---|---|---|---|---|
| A9H012 | Mhinga | Luvuvhu | −22.86 | 30.88 | Nandoni | 1987–2019 | 32 | 95.4 | 1758 |
| A9H013 | Kruger | Mutale | −22.43 | 31.07 | None | 1988–2019 | 31 | 75.7 | 1776 |
| A9H025 | Matsika | Mutshundudi | −22.85 | 30.68 | Thathe | 1996–2017 | 23 | 78.0 | 387 |
Figure 2Fitted regressions of time series of streamflow at (a) Mhinga, (b) Kruger and (c) Matsika in the Luvuvhu catchment. Grey ribbons represent 95% confidence intervals for streamflow.
Statistical results for flow trends analyses from the three selected stations flow. Trend significance level is indicated by * p < 0.05; ** p < 0.01.
| Station | Y (Intercept) | Slope | Standard Errors | |
|---|---|---|---|---|
| Mhinga | 6.33 | −1.413 × 10−5 | 4.476 × 10−5 | 0.750 |
| Kruger | 3.59 | −6.185×10−5 | 2.556 × 10−5 | 0.016 * |
| Matsika | 7.25 | −3.281×10−4 | 2.945 × 10−5 | <0.001 ** |
Summary of the main changes in ecological responses of fish and macroinvertebrate organisms in relation to the changes in the elements of streamflow regimes.
| Changes in Flow Regime | Fishes | Macroinvertebrate |
|---|---|---|
| Magnitude |
Alteration of flow results in loss of sensitive species [ Fish migratory changes both upstream and downstream due to too little water that impedes fish movement [ The magnitude of flood peaks can determine the degree of scouring mortality of fish egg [ |
Alteration of flow results in loss of sensitive species [ Greater magnitude of extremes causes life cycle disruption [ Desiccation of macroinvertebrates [ |
| Frequency |
High frequency of flow, non-native species of fish may fail to establish [ Decreased reproduction and abundance of the native fishes [ Influences the reproduction and mortality events of various species [ Decreased richness of endemic and sensitive species [ Fish migratory changes such as increased upstream migration [ |
Increasing frequency of high flow disturbances, macroinvertebrate communities shift toward species adapted to high mortality rates, such as those having short life cycles and high mobility [ Increased variation results in life cycle disruption [ |
| Duration |
Reducing the duration of low flows would not be expected to have a large effect on native fish [ Increase in abundance of non-native species [ Increasing the duration of low flows could dewater habitat and damage native species [ |
Decreased duration of floodplain inundation causes loss of floodplain specialists in mollusc assemblage [ Increasing the duration of low flows would limit habitat available for invertebrate assemblages [ |
| Timing |
The natural timing can prevent the establishment of non-native fish [ Loss of seasonal flow peaks disrupts cues for fish: spawning [ |
Reduced survivorship of larval atyid shrimps following early summer spates [ Human-induced changes in timing may cause productive failure, stress and mortality [ |
| Rate of Change |
The loss of seasonal flooding can promote success of non-native fish species [ Fish stranding and drifting [ |
Accelerated flood recession results in failure of seedling establishment [ Macroinvertebrate drift [ |