| Literature DB >> 25935861 |
D C Le Maitre1, M B Gush2, S Dzikiti2.
Abstract
There have been many studies of the diverse impacts of invasions by alien plants but few have assessed impacts on water resources. We reviewed the information on the impacts of invasions on surface runoff and groundwater resources at stand to catchment scales and covering a full annual cycle. Most of the research is South African so the emphasis is on South Africa's major invaders with data from commercial forest plantations where relevant. Catchment studies worldwide have shown that changes in vegetation structure and the physiology of the dominant plant species result in changes in surface runoff and groundwater discharge, whether they involve native or alien plant species. Where there is little change in vegetation structure [e.g. leaf area (index), height, rooting depth and seasonality] the effects of invasions generally are small or undetectable. In South Africa, the most important woody invaders typically are taller and deeper rooted than the native species. The impacts of changes in evaporation (and thus runoff) in dryland settings are constrained by water availability to the plants and, thus, by rainfall. Where the dryland invaders are evergreen and the native vegetation (grass) is seasonal, the increases can reach 300-400 mm/year. Where the native vegetation is evergreen (shrublands) the increases are ∼200-300 mm/year. Where water availability is greater (riparian settings or shallow water tables), invading tree water-use can reach 1.5-2.0 times that of the same species in a dryland setting. So, riparian invasions have a much greater impact per unit area invaded than dryland invasions. The available data are scattered and incomplete, and there are many gaps and issues that must be addressed before a thorough understanding of the impacts at the site scale can be gained and used in extrapolating to watershed scales, and in converting changes in flows to water supply system yields. Published by Oxford University Press on behalf of the Annals of Botany Company.Entities:
Keywords: Hydrological impacts; invasive alien plants; vegetation structure; water resources; water-use
Year: 2015 PMID: 25935861 PMCID: PMC4480063 DOI: 10.1093/aobpla/plv043
Source DB: PubMed Journal: AoB Plants Impact factor: 3.276
Figure 1.The Budyko curve for the relationship between the long-term dryness index and the evaporative index and the energy and water limits to long-term evaporation.
Figure 2.Generalized relationships between mean annual rainfall and mean annual evaporation (as a percentage) for catchments with two differing dominant vegetation types: grasslands, mainly seasonal pastures or trees (woodlands or forest). The evaporation data represent dryland settings as riparian zones comprise a small proportion of most catchments (1–5 % and up to 10 % in some cases) or had vegetation which did not change when the rest of the catchment was converted from tree to grass cover. Derived from data in Zhang , 2001).
A summary of information on key traits which are known to affect transpiration and interception rates of invading plant taxa including plantations of these species. Information on typical plant height was taken from Henderson (2001) or based on personal observations (#). Root depths from Canadell ) and Schenk and Jackson (2002, ) with deep roots reaching >2 m depth. Asterisk indicates LAI calculated from data in the source. Type of LAI estimate: C, individual canopy based; S, stand based.
| Taxon | Growth form | Height (m) | Evergreen | Deep roots (m where known) | LAI | Sources for LAI data and notes |
|---|---|---|---|---|---|---|
| Tree | >5 | Yes | >4 | 2.0–3.5; 3.5; 2.3 | S: | |
| Tree | <10 | Yes | Probably | Moderate | S: | |
| Scrambler | <4# | Yes | Unlikely | 2.5–5.6 | C: | |
| Tree | >8 | Yes | >10 | 3–4 at 4 years old, 1.7 at 10 years; 1.2–5.3 (4.25); 1.2–4.5; 2.6; 2.7 | S: | |
| Shrub | <6 | Yes | <4 | 3.81, 2.85; 4.51 | C: | |
| Scrambler | <3# | In some areas | No | 0.5, 1.5 | S: | |
| Tree | >8 | Yes | <8 | 8.8; 4.6–5.5; 2.57–2.66*; 2.9, 3.8 | S: | |
| Tree | >8 | No | <4 | 3.1; 4.0–7.0 (5.8); 1.8–2.8; 2.1–3.3; 2.74 | S: | |
| Tree | <5# | No | >10 | 1.2–1.4; 1.4–3.8 (mean 2.4) tree form; 1.15–1.42 (mean 1.28) shrub form | C: | |
| Tree | >5 | No | <4 | 3.28 | S: | |
| Shrub | <10 | Probably | No | Moderate | S: | |
| Tree | <6 | Probably | No | 0.9–3.5 (3.0); 1.2–4.2; 2.6–3.6; 2.58–4.05 (3.58) | S: |
A summary of data on evaporation from stands dominated by invading plant species, including selected information from commercial forest plantations of those species. Mean annual rainfall has been adjusted to the mean for the catchment rather than a particular rain gauge. Remote sensing-based estimates of annual evaporation from stands with a canopy cover of at least 35 % in KwaZulu-Natal and the Western Cape in South Africa were taken from Jarmain and Meijninger (2012) and Meijninger and Jarmain (2014). K, KZN, KwaZulu-Natal; W, Western Cape; T, transpiration plus shaded water evaporation.
| Taxon | Site | Method | Annual rainfall (mm) | Annual runoff (mm) | Estimated evaporation (mm/year) | Sources and notes |
|---|---|---|---|---|---|---|
| Working for Water sites | Remote sensing | 740 ± 145K, 925 ± 225W | ||||
| Seven Oaks, midlands, KZN, plantation | Bowen ratio | 616–1016 | 1048–1364 | |||
| Two Streams, midlands, KZN, plantation | Catchment gauging | 659–1170 (MAP 853) | 7–46 | 701–1121 | ||
| Scintillometry | 689–819 | 1156–1171 | ||||
| Working for Water sites | Remote sensing | 600 ± 195W | ||||
| Working for Water sites | Remote sensing | 1020 ± 215K | ||||
| Tzaneen, Limpopo, plantation | Catchment gauging | 1368 | 209 | 1159 | ||
| Sabie, Mpumalanga, plantation | Catchment gauging | 1155 | 15 | 1140 | ||
| Sabie, Mpumalanga | Sap flow | 1459 | 1347T | |||
| Seven Oaks, midlands, KZN, plantation | Bowen ratio | 616–1016 | 1246–1618 | |||
| Working for Water sites | Remote sensing | 575 ± 195K, 945 ± 230W (largely riparian) | ||||
| Two sites, central California | Soil moisture decrease | 491 and 744 | 105–120 more than annual grasses | |||
| Shasta valley, northern California | Soil moisture declines | 460 | 158 perennial grass 118 annual grass 99 | |||
| Working for Water sites | Remote sensing | 830 ± 240W | ||||
| Working for Water sites | Remote sensing | 965 ± 140K | ||||
| Viti Levu, Fiji | Micro-meteorological model | 1707 | 1926—6 years old, 1717—15 years old | |||
| Cathedral Peak, Little Berg, KZN, plantation | Catchment gauging | 1531–1616 | 466–473 | 1065–1143 | ||
| Sabie, Mpumalanga, plantation | Catchment gauging | 1149 | 13 | 1136 | ||
| Usutu, Swaziland | Heat-pulse velocity | 1124 | 944 | |||
| Jonkershoek, Western Cape, plantation | Catchment gauging | 1346–1416 | 280–408 | 990–1136 | ||
| Mt Gambier, South Australia, plantation | Sap flow, ground water levels | 630 | 540–975 no groundwater access; 1074–1344 with groundwater access | |||
| Working for Water sites | Remote sensing | 915 ± 265W | ||||
| Greytown, highlands KZN | Sap flow | ±900 | 818 | |||
| Rugseer, Kenhardt, Northern Cape | Sap flow | 150 | ±0 | 25–35 | ||
| New South Wales, Australia | Sap flow, water balance | 400 | Active river channels 1755–2410; 563 for river bank trees | |||
| Working for Water sites | Remote sensing | 945 ± 125 |
Observed and modelled evaporation and impacts on streamflow for native and invaded riparian settings, including afforested riparian zones in plantations. MAP, mean annual precipitation; Et, evaporation. aCalculated using the results of the break point modelling in the report.
| Location | Climate | Vegetation, treatment | Results | Source |
|---|---|---|---|---|
| Groenberg, Wellington and Drakenstein, Paarl, Western Cape | Winter rainfall MAP1 ±1050 mm, ±906 mm respectively | Et2 1503 mm/year | ||
| Jonkershoek, Stellenbosch, Western Cape | Winter rainfall MAP 1324 mm | Restioid (evergreen reed) floodplain wetland | Et 1332 mm/year | |
| Winter rainfall MAP 1200–2600 mm | Dryland, tall fynbos | Et 600–900 mm/year | ||
| Gilboa, midlands, KwaZulu-Natal | Summer rainfall MAP 867 mm | Et 1260 mm/year | ||
| Riparian grassland | Et 836 mm/year | |||
| Midlands and Drakensberg, KwaZulu-Natal | Summer rainfall MAP 700–1500 mm | Grasslands | Et 600–860 mm/year | |
| Biesievlei, Stellenbosch, Western Cape | Winter rainfall MAP 1400 mm | Et 1057 mm/year from water balance | ||
| Clearing riparian pines | Streamflow increase 11 503 m3/ha/year | |||
| Clearing dryland pines | Streamflow increase 3 430 m3/ha/year | |||
| Simonsberg, Stellenbosch, Western Cape | Winter rainfall MAP ±812 mm | Riparian 980, 1417 mm/year | ||
| Non-riparian 753, 1190 mm/year | ||||
| Witklip, Sabie, Mpumalanga | Summer rainfall MAP 996 mm | Grassland, 34 % pine plantation with unplanted riparian zone | Et 632 mm/year | |
| Clearing riparian scrub lightly invaded by pines and eucalypts | Streamflow increase 7966 m3/ha/year | |||
| Clearing dryland pines | 4044 m3/ha/year | |||
| Seven Oaks, midlands, KwaZulu-Natal | Summer rainfall MAP ±840 mm | Et 1048–1364 mm/year | ||
| Two Streams, midlands, KwaZulu-Natal | Summer rainfall MAP 853 mm 689–819 for 2007 and 2008 | Et 1156–1171 mm for 2007 and 2008 MAR 2000–2008—48 mm | ||
| Clearing of riparian | Streamflow increase of 6.47 m3/ha/yeara | |||
| Clearing of dryland | Streamflow increase of 5.62 m3/ha/yeara | |||
| South-western USA | Summer rainfall, arid climate (<250 mm/year) | 220–1500 mm/year, mean 765; 851–874 mm/year; mean 950 mm/year | ||
| 1000–1200 mm/year; 484–968 mm/year | ||||
| New South Wales, Australia | Summer rainfall (400 mm/year | 1755–2410 mm/year active river channels; 563 mm/year river banks | ||
| 1216–1340 mm/year | ||||
| 550–1320 mm/year | ||||
| Rugseer River, near Kenhardt, Northern Cape, South Africa | Summer rainfall, arid climate (<250 mm/year) | 25 mm/year, groundwater fluctuation before and after clearing | ||
| 35 mm/year, sap flow, energy balance, groundwater levels |
Figure 3.Effects of combinations of major plant traits that have been found to influence the impacts of plant invasions on water resources relative to natural vegetation (after Calder 1991, 2005; Le Maitre 2004). Plant traits are inter-related but can be grouped into those related to size and those related to physiology. High impacts on water resources will occur where there are marked contrasts in these traits (e.g. evergreen versus deciduous, deep versus shallow roots), and the more contrasting these are, the greater the difference is likely to be. In some cases contrasts may compensate for each other (e.g. evergreen trees with low stomatal conductances versus deciduous trees with high conductances) (Doody ). In South Africa the most marked contrasts are where short, fairly shallow-rooted, winter-deciduous grasslands are replaced by tall, deep-rooted, evergreen trees (Everson ). In contrast, invasions by tamarisks in North America have had little impact because they are similar to poplars in their growth form, rooting depth and leaf seasonality (Doody ; Hultine and Bush 2011).