Abstract
Objectives
Observations from wetlands across the globe suggest a consistent pattern of woody encroachment into wetland grasslands, altering habitat structure and ecological function. The extent to which hydrological changes have contributed to woody invasion of wetland grasslands is unclear. Our objective was to compare rates of woody encroachment in Australian floodplain wetlands between wet and dry hydrological phases. We test the hypothesis that contraction of non-woody wetland vegetation (grasses and rushes) would be concentrated in dry phases, co-incident with recruitment of the River Red Gum Eucalyptus camaldulensis lower in the floodplain.
Methods
We conduct the first detailed mapping of habitat change in two of the largest forested wetlands in inland Australia, comparing wet and dry hydrological phases. Detailed photogrammetry, supported by extensive ground survey, allowed the interpretation of high resolution aerial photography to vegetation community level.
Results
We found a consistent pattern of decline in non-woody vegetation, particularly amongst grasses utilising the C4 photosynthetic pathway. The C4 grasses Pseudoraphis spinescens and Paspalum distichum showed steep declines in the Barmah Millewa and Macquarie Marshes respectively, being replaced by River Red Gum E. camaldulensis. C3 sedges proved more resilient in both systems.
Conclusions
Our results suggest that a pattern of tree expansion into non-woody wetland vegetation, characteristic of wetlands across the globe, is a major habitat structural change in the Australian floodplain wetlands studied. Projected hydrological impacts of climate change are likely to further restrict wetland grass foraging habitat in these semi-arid floodplain wetlands.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Tree cover across the globe has increased by 7.1% in the period 1982–2016 (Song et al. 2018) in spite of deforestation leading to local declines in the extent of forests. Global and continental-scale observations of woody vegetation thickening and expansion into grasslands align with those made at a regional scale, including woody encroachment into the savannas and prairies of North America (Van Auken 2009), semi-arid and tropical Australia (Fensham et al. 2005), Europe (Maestre et al. 2009), India (Misra 1983) and China (Peng et al. 2013). Less attention has been given to woody encroachment in wetlands, though there is a growing body of evidence to suggest that the recruitment of trees and shrubs into wetland grasslands is widespread and altering the character and function of wetland environments across the globe (Saintilan and Rogers 2015). Woody encroachment has been described replacing sedgeland in high latitude bogs and fens in Alaska (Berg et al. 2009), Canada (Favreau et al. 2019), the conterminous United States (Stine et al. 2011), Europe (Middleton et al. 2006), and Tasmania, Australia (Bowman et al. 2013). The expansion of mangrove into herbaceous coastal marshland has been documented across five continents near mangrove poleward limits (Saintilan et al. 2014). Several of the world’s largest seasonally and intermittently flooded wetlands have been sites of significant woody expansion and grassland decline including the Pantanal (Arieira et al. 2018), the Florida Everglades (Quintana-Ascencio et al. 2013), the Okavango (Hamandawana and Chanda 2010), and Kakadu, northern Australia (Bowman et al. 2008). However, an exploration of the causes and consequences of these changes has been lacking.
Several factors might be contributing to improved tree recruitment and survival in wetland grasslands. Indigenous fire regimes in the Pantanal, South America (Junk and da Cunha 2012) and Australia (Bowman 1998) historically excluded trees, and their modification following the introduction of grazing has, in common with many terrestrial grassland settings, reduced the frequency and intensity of fire. However, the restoration of historical fire and grazing regimes in several terrestrial settings has not always halted woody encroachment (Briggs et al. 2005). Hydrological changes may also be an important driver, given the importance of hydroperiod as a control over wetland vegetation structure. In some settings woody encroachment is associated with wetter conditions (mangrove encroachment in saltmarsh: Rogers et al. 2006; Vochysia divergens in the Pantanal grasslands: Nunes da Cunha and Junk 2004) and other places dryer conditions (peatland bogs: Pellerin et al. 2016), while some studies have documented encroachment across the range of hydrological conditions (Bart et al. 2016).
Australia’s second largest and most agriculturally important river basin, the Murray-Darling (1.06 million km2), supports several large intermittently flooded wetlands of diverse vegetation assemblage including a mix of woodland vegetation and grassland. The hydrology of Australian inland rivers is strongly influenced by phases in the El Niño-Southern Oscillation (Verdon et al. 2004) and the Indian Ocean Dipole (Ummenhofer et al. 2009). River flow and floodplain inundation patterns are highly variable in space and time (Puckridge et al. 1998) and droughts may last for several years, breaking suddenly. The 1950s and 1970s were characterised by frequent, large floods, and were followed by decades of water resource development and a drying climate trend across the basin. The Millennium Drought (1997–2010) consisted in the longest uninterrupted period of below-average annual rainfall in at least a century (van Dijk et al. 2013). The long continuous period of low inflows and rainfall, co-incident with the suspension of environmental watering arrangements in many catchments led to reductions in floodplain inundation that were historically unprecedented. This drought was broken in 2010 by near record inflows.
Hydrological extremes may shape competitive interactions between trees and grasses on inland ephemeral floodplains. Long duration of inundation can lead to drowning of seedlings and adult trees (Colloff et al. 2014), while extreme inter-flood periods can lead to water stress (Doody et al. 2015) and tree mortality (Catelotti et al. 2015). Frequent spring–summer inundation is important to the growth of wetland grasses and their competitive success against tree seedlings (Colloff et al. 2014). On this basis, woodland-grassland interactions in floodplain wetlands might be conceptualised as occurring along a gradient of disturbance, tree expansion prevailing under low disturbance punctuated by dieback under extremes of wet (low floodplain dieback) and dry (high floodplain dieback) (Fig. 1). The combined impacts of drought, water abstraction and a drying climate trend have raised concerns over the long-term resilience of floodplain forests in rivers subject to water resource development and climate change (Mac Nally et al. 2011; Harris et al. 2018). In this study we apply detailed, visual aerial photographic interpretation in multi-decadal time-series for two of the three largest River Red Gum (Eucalyptus camaldulensis) forests in Australia’s Murray Darling Basin; the Barmah-Millewa Forest and the Macquarie Marshes (Fig. 2), testing whether tree recruitment and dieback are linked to phases of drought and inundation. Our hypothesis is that the imposition of drought will modulate a long-term trend of woody vegetation expansion by reducing tree extent on the outer floodplain while encouraging recruitment into low-lying wetland areas of reduced herbaceous coverage.
In both the Macquarie Marshes and the Barmah Millewa Forest, our mapping spans the period before, during and following the Millennium Drought, and in the Barmah Millewa Forest prior to the record floods of the 1950s and 1970s. Detailed photogrammetry, coupled with extensive on-ground survey, has allowed identification of trends in the extent of vegetation communities, including forests and woodlands dominated by the River Red Gum E. camaldulensis and a range of non-woody wetland vegetation types (sedges, rushes and grasslands). Our aim was to understand the differing vulnerability of vegetation structural/floristic types to anticipated increases in the frequency and intensity of drought in the Murray-Darling Basin (MDB), a projected outcome of climate change (Chiew et al. 2011). We hypothesised that contraction of non-woody wetland vegetation (grasses and rushes) would be concentrated in dry phases, co-incident with recruitment of E. camaldulensis lower in the floodplain, and dieback in the outer floodplain, as previously reported by ground survey (Horner et al. 2009). Conversely, we expected that wet phases would see the recovery of non-woody vegetation, the drowning of E. camaldulensis in the lower floodplain and the expansion of the species on the outer floodplain.
Methods
We conducted fine scale mapping of vegetation communities using historic aerial photography in two of the three largest forested wetlands in the MDB: the Barmah-Millewa Forest, and the Macquarie Marshes (Fig. 2). Both forests are listed as internationally important Wetlands under the Ramsar Convention and contain some of the largest remaining wetland grassland in the MDB. In both wetlands, E. camaldulensis forms extensive closed forest and open woodland communities. Non-woody wetland vegetation in the Barmah-Millewa Forest has been historically dominated by the Moira Grass Pseudoraphis spinescens (Colloff et al. 2014), with the rushes Juncus ingens and Typha domingensis forming dense patches. In the Macquarie Marshes, wetland grassland is dominated by the Water Couch Paspalum distichum, with Phragmites australis and Typha spp. locally important. Vegetation community boundaries are identifiable from high resolution aerial photography, and in each case our mapping represents the best available long-term (inter-decadal) mapping of E. camaldulensis forest and non-woody wetland vegetation community extent, supported by extensive on-ground verification. We explored the interactions between E. camaldulensis communities and non-woody (grassland and sedgeland) wetland vegetation, and their contrasting response to drought and re-flooding.
Vegetation mapping
Murray Valley National Park (Moira Precinct) is approximately 9200 ha and is shown in Fig. S3. Four sets of historical imagery were sourced for the Moira Compartment of the Barmah Millewa Forest: 1945 (1:34,000), 1970, 1991 and 2010 (1:50,000). Mapping was not attempted after this date due to the potential confounding effect of E. camadulensis thinning trials conducted by the NSW Government from 2011. Black and white film photography was scanned, given external orientation parameters and subsequently built into stereo models (one for each epoch) so that they could be viewed and interpreted in a digital 3D environment (Stereo Analyst for ArcGIS).
3D visual interpretation of aerial imagery was undertaken in ‘Stereo Analyst for ArcGIS’ using a similar method to Maguire et al. (2012). The attributed linework for Moira (Bowen et al. 2011) was used as a starting point. It was draped over the DEM, thus converting the 2D shapefile to a 3D shapefile able to be displayed and edited in 3D over the 1991 imagery. This new 1991 layer derived from Bowen et al. (2011) was then interpreted over the 1970 imagery to produce the 1970 layer, which was then interpreted over the 1945 imagery to produce the 1945 layer.
Comprehensive mapping of vegetation community extent and condition in the Macquarie Marshes before, during and after the Millennium Drought used high-resolution aerial photography for 1991, 2008 and 2013, and extensive on-ground verification of 200,000 hectares of the lower Macquarie River floodplain, including the Ramsar-listed Macquarie Marshes Nature Reserve. A map of the vegetation communities of the Macquarie Marshes in 1991 was previously created by manual aerial photo interpretation (API) of 1:50,000 scale black and white aerial photographs and classification of vegetation communities calibrated by ground surveys (Wilson 1992). Vegetation communities in 1991 were determined by dominant species and structural characteristics such as growth form, and density (Johnson et al. 1992). The 1991 map was scanned and ortho-rectified to create a digital shapefile that was then interrogated for vegetation spatial area and type. The original mapping units of Wilson (1992) were renamed to reflect the then current classification of vegetation communities in NSW and then reassigned to the NSW Plant Community Types described in the NSW Vegetation Information System Classification. The 1991 map was substantially reworked and revised by manual API using digital versions of scanned and ortho-rectified black and white aerial photography first captured in January 1991, viewed on screen to a resolution of 1:1000. Co-incident georeferenced on ground survey data, stored in the NSW Vegetation Information System (VIS) Flora Module (Office of Environment and Heritage 2017), was analysed for vegetation type and condition.
The 2008 and 2013 spatial extent of vegetation communities was delineated by visual API of high-resolution digital colour aerial photographs, taken in July 2008 (30 cm resolution), September 2013 (50 cm resolution), and in six sections of the outer floodplain using 2018 aerial photography (50 cm resolution). Field surveys were completed in May, October and November 2008, and March 2014 to validate the mapping units and their extent and to quantitatively assess their condition (Bowen and Simpson 2008).
Hydrological time series and statistical analysis
Total annual runoff (Qi) series at the nearest long-term gauging stations were accessed from WaterNSW real-time data website (https://realtimedata.waternsw.com.au), and represented as a percentage deviation (ΔQ) from average annual runoff (Qavg) (Figs. S1, S2), and calculated using Eq. (1):
Marebone Break gauge station (No. 421088) on the Macquarie River and Yarrawonga gauge station (No. 409025) on the Murray River were selected for this study as they are stations that faithfully represent the conditions in the Macquarie Marshes and the Barmah-Millewa Forest respectively for the time periods of interest. Missing data was synthetically generated using correlations of cumulative runoff volume data recorded in nearby stations. Warren station (No. 421004) and Marebone Weir station (No. 421090) data were used to extrapolate and complete Marebone Break monthly data series which was then used to calculate total annual runoff. Annual runoff series from Yarrawonga station were extrapolated using data from Barham station (No. 409005) located downstream in the Murray River. Data illustrate the protracted Millennium Drought (1997–2010) in both systems; very large inflows into the Macquarie Marshes in 1990, and several years in the 1970s. The Barmah-Millewa Forest received particularly high inflows in the 1950s and 1970s. Regression analysis was performed on vegetation species extent trends through time for the Barmah-Millewa forest (Fig. 3).
Results
The River Murray forests
In the Barmah Millewa Forest (35° 50′S, 145° 00′E), E. camaldulensis has expanded since at least 1945 (Colloff et al. 2014), primarily into areas previously occupied by flood-dependent Moira Grass P. spinescens. Expansion of E. camaldulensis forest may have pre-dated 1945 (the earliest aerial photography available), given descriptions by European explorers, squatters and surveyors in the first half of the 19th Century of grassy wetland plains (Chesterfield 1986; Colloff et al. 2014). Our fine-scale mapping of vegetation communities showed an 11% increase in the extent of E. camaldulensis forest in the Moira compartment (the western half) of the Barmah-Millewa Forest and a 78% decline in P. spinescens in the period 1945–2010. Much of this expansion in E. camaldulensis occurred in decades characterised by extensive flooding, including the 1956 flood (the largest on record). While the Millennium Drought slowed the expansion, no net loss in forest extent was observed over the drought period (Fig. 3). Giant Rush J. ingens was largely resistant to E. camaldulensis encroachment (Fig. 3), as was T. domingensis. Moira Grass (P. spinescens) has declined consistently since 1930, but with no clear association with water availability. Some loss in area of P. spinescens has also been attributed to invasion by J. ingens (Mayence et al. 2010), a species more suited to long-duration summer flooding in low-lying areas (Vivian et al. 2014).
While the Millennium Drought halted the expansion of E. camaldulensis there is no evidence of mortality, in spite of a reduction in canopy cover and ‘vigour’ apparent from remote sensing of Normalised Difference Vegetation Index (NDVI) (Mac Nally et al. 2011). Canopy condition (relative defoliation) measured on-ground to calibrate Landsat7-derived NDVI estimated that 11–16% of Victorian E. camaldulensis forest was in the poor condition in 2009.
The Macquarie Marshes
River Red Gum has undergone similar expansion in the largest wetland forest in the northern Murray-Darling Basin: the Macquarie Marshes (30° 43′S; 147° 32′E), which support extensive E. camaldulensis forest and woodland in a vegetation mosaic that includes wetland grasses and reedbeds. In spite of the apparent mortality of trees assessed in a tagging study (Catelotti et al. 2015), the extent of E. camaldulensis forest was largely unaffected by the drought: there was a 4% increase between 1991 and 2013 (Fig. 4). A decline in E. camaldulensis grassy woodland was offset by an increase in E. camaldulensis woodland (Fig. 4a), particularly in the eastern portion of the marshes, implying woody thickening and the loss of the grassy understory.
We chose six segments of the outer floodplain for detailed time-series analysis where a previous modelling study (Catelotti et al. 2015) suggested E. camaldulensis would have less then 63% chance of surviving the drought (Fig. 5). In all cases the extent of woodland increased between 1991 and 2018. The expansion of River Red Gum since 2010 suggests either the recovery of trees assumed dead or strong recruitment following the breaking of the Millennium Drought in September 2010. This expansion has occurred in spite of reductions in inundation frequency between 1991 and 2008 (Bino et al. 2015), and the longest drought on record.
Non-woody wetland vegetation is adapted to more frequent inundation than floodplain trees and shrubs (Sandi et al. 2019). The spatial extent of dominant Water Couch (P. distichum) aquatic grassland, beds of Common Reed (P. australis), Cumbungi (Typha spp.) and sedges, showed strong decline towards the end of the Millennium Drought in 2008 (Fig. 4). Above-ground biomass was reduced or lost, associated with reduced inundation (Whitaker et al. 2015), and chenopod shrubs increased in extent from 4 ha in 1991 to 14,847 ha in 2013. Following the breaking of the Millennium Drought in 2010 and two successive years of heavy rainfall and inflows, invasive terrestrial chenopod dominated shrublands all but disappeared (313 ha in 2013), while P. australis reedbeds, and sedgelands were restored to within 80–95% of their pre-drought extent. Cumbungi increased to 1533 ha, three times the extent in 1991. An exception to this strong pattern of recovery is the Water Couch P. distichum. In 1991 Water Couch aquatic grassland was the most extensive non-woody plant community at the Macquarie Marshes, with over 12,000 ha. By 2013 P. distichum had recovered only 40% of its previous extent, with large areas replaced by woody vegetation (E. camaldulensis and Acacia stenophylla), non woody wetland vegetation (Cumbungi, sedgeland) and terrestrial vegetation (tussock grass).
Discussion
Global trends in wetland grassland decline and possible drivers
Widespread deterioration in canopy condition of River Red Gum E. camaldulensis forests during the Millennium Drought was reported from remote sensing and field surveys (Mac Nally et al. 2011; Harris et al. 2018), including apparent mortality of up to 44% in the Macquarie Marshes (Catelotti et al. 2015). However, in spite of several studies applying satellite remote sensing to canopy condition in the MDB, detailed time-series mapping of vegetation communities in MDB wetlands has been lacking, preventing an assessment of change in the extent of woody and non-woody wetland vegetation communities. Contrary to expectation we found an expansion and thickening of the River Red Gum into the grassy wetlands of the MDB through a range of hydrological extremes.
The expansion of tree cover is a trend consistent with observations in other intermittently flooded wetlands. Within the Pantanal, in the Upper Paraguay basin of South America, grasslands are being replaced by invasive trees, most notably the native V. divergens (Cambará) (Arieira et al. 2018). When canopy cover exceeds 30%, grassland plants are displaced (Barbosa da Silva et al. 2016), as are anurans (Dorado-Rodrigues et al. 2015). On the North American continent, the Florida Everglades, the once renowned as the “River of Grass” has been extensively colonised by willow and the introduced Melaleuca quinquenervia (Martin et al. 2009). Historical aerial photography of the Okavango delta, Africa, documents a 22.5% decrease in open grassland and a corresponding 27% increase in mixed woodland (Hamandawana and Chanda 2010) between 1967 and 2001. On the South Alligator River floodplain in Kakadu National Park in tropical Australia, woody cover increased from 21 to 31% between 1984 and 2004, the mechanism unknown (Bowman et al. 2008).
In the Barmah-Millewa Forest, the invasion of Moira Grass plains by E. camaldulensis has been attributed to a reduction in frequency, extent and duration of flood events. Similar observations have been recorded in the nearby Mid-Murrumbidgee wetlands (Wassens et al. 2017) where E. camaldulensis recruited heavily in lagoons during the Millennium Drought and P. spinescens failed to recover. In both settings, E. camaldulensis is recruiting down the inundation gradient into areas previously too frequently and deeply inundated. While we do not have annual data on extent, high rates of expansion were observed in historically wet decades. It is possible that comparatively wet decades (1950s 1970s Fig. S1) and individual high flood years (1956, 1974) may not have been sufficient to counter alterations to the timing and frequency of flooding introduced by the operation of the Hume Dam (completed in 1936). Further, aquatic, soil and atmospheric CO2 fertilisation may play a role in accelerating growth rate between floods (Saintilan and Rogers 2015), promoting recruitment down the inundation gradient (Fig. 6).
Perhaps more surprising is the continued expansion of E. camadulensis on the outer floodplain of the Macquarie Marshes during the Millennium Drought. E. camaldulensis regulates stomatal conductance during drought, trading off decreased water loss for lower carbon assimilation, at the same time reducing sapwood volume to compensate (Doody et al. 2015). Elevated atmospheric CO2 allows photosynthesis in C3 plants to be maintained with lower rates of water loss (Polley et al. 1997); an advantage particularly when C3 and C4 plants compete in semi-arid and arid environments (Idso 1992). Further, decreased evapotranspiration resulting from reduced leaf conductance leads to higher soil water content where woody thickening is occurring (Eamus and Palmer 2008; Carol Adair et al. 2011), facilitating deep percolation and a competitive advantage for deeper rooting plants over grasses. Elevated CO2 is likely therefore to improve drought resistance of semi-arid floodplain plants that use the C3 photosynthetic pathway. C3 reedbeds (J. ingens at Barmah-Millewa Forest; P. australis, Typha spp. and sedgeland at Macquarie Marshes), appear resilient to invasion by E. camaldulensis.
The susceptibility of C4 grasslands to woody encroachment has also been noted in coastal wetlands, where grasslands of Sporobolus virginicus (Australia), and Spartina alterniflora (United States) have been colonised by mangroves of the genus Avicennia. In the Pantanal the C4 grass associations capim-vermelho (being Andropogon hypogynus and Axanopus lepostachyus) and capim mimosa (Axonopus purusii and Reimarochloa brasiliensis) have been particularly prone to invasion by V. divergens. In the Macquarie Marshes, the Mid-Murrumbidgee wetlands and Barmah-Millewa Forest, the expansion of woody wetland vegetation has also been primarily at the expense of grasses using the C4 photosynthetic pathway. We document the substantial decline of Moira Grass P. spinescens in the Barmah-Millewa Forest, also noted in the mid Murrumbidgee wetlands (Wassens et al. 2017), as well as Water Couch P. distichum at Macquarie Marshes. Little difference has been found in hydrological characteristics of areas lost to P. distichum and areas retained (Sandi et al. 2019) whereas the C3 non-woody vegetation declined preferentially in areas of lower hydroperiod. This would suggest that P. distichum is unlikely to be retained under current hydrological and climatic conditions.
Changes in circulation patterns and rainfall are a probable outcome of climate warming over inland Australia of 1–1.2 °C by 2030 and 1.8–3.4 °C by 2070 (Watterson and Whetton 2011). The best estimates of 2030 climate suggest a decrease of 2–5% in rainfall over central areas of the Murray-Darling Basin, translating into a projected decrease of 12% in available surface water (CSIRO 2008). Projected changes in flood volume and inter-flood period under 2030 climate suggest a latitudinal gradient of climate change impact in the basin. In the Macquarie River, average flood volume per event is projected to decrease by 25%, and inter-flood period increase by nearly 20% (CSIRO 2008). In the River Murray, best estimate model projections suggest a 45% decrease in average flood volume per event, and an increase in inter-flood period of 13%. On the basis of the evidence presented these changes are likely to further reduce the extent of wetland grasslands in the basin but are unlikely to threaten the viability of E. camaldulensis forest.
Conclusions
Floodplain wetlands are a fundamental component of terrestrial landscapes, providing habitat and resources for waterbirds and woodland birds, fishes, invertebrates, reptiles and amphibians (Bino et al. 2015). It is likely that changes in vegetation structure, composition and condition will have flow-on effects to other components of the ecosystem (Bino et al. 2015). The loss of wetland grasslands is of particular concern, given the historical use of Water Couch (P. distichum) and Moira Grass (P. spinescens) by herbivorous waterfowl (Braithwaite and Frith 1969; Colloff et al. 2014) and kangaroos which preferentially feed on Water Couch in the lower Murrumbidgee wetlands (Iles et al. 2010).
Wetland managers in the Macquarie Marshes raised concerns more than a decade ago about the homogenisation of wetland plant communities: the conversion of a complex vegetation mosaic into monospecific stands of E. camaldulensis forest (Fazey et al. 2006). Ranchers in the Pantanal have expressed similar concerns, recalling much larger areas of grassland in former decades. They assert their right to clear woody species as a means of maintaining pasture grass, as well as maintaining biological diversity (Junk and da Cunha 2012). It is imperative that monitoring incorporate vegetation community extent mapping despite the difficulties associated with data collection and validation.
While satellite-derived canopy condition metrics (NDVI) have become a standard means of assessing floodplain wetland condition (Cunningham et al. 2011), such responses are largely ephemeral (Wen and Saintilan 2015). On the basis of the ecophysiological responses of E. camaldulensis during the Millennium Drought at Yanga National Park in the Lower Murrumbidgee Wetlands, many trees can survive a drought of 15 years duration, depending on soil water availability (Mayence et al. 2010). Trees that appeared dead after nine years without flooding at Yanga National Park recovered markedly after two months of flooding in 2010 (Wen and Saintilan 2015). Our time-series mapping suggests that the decline of C4 grasslands in the Murray-Darling Basin is, by contrast, a trend sustained through the phases of wet and dry characteristic of these rivers and is likely to be exacerbated under climate change projections for the region.
References
Arieira J, Padovani CR, Schuchmann KL, Landeiro VL, Santos SA (2018) Modeling climatic and hydrological suitability for an encroaching tree species in a Neotropical flooded savanna. For Ecol Manag 429:244–255
Barbosa da Silva FH, Arieira J, Parolin P, Nunes da Cunha C, Junk WJ (2016) Shrub encroachment influences herbaceous communities in flooded grasslands of a neotropical savanna wetland. Appl Veg Sci 19:391–400
Bart D, Davenport T, Yantes A (2016) Environmental predictors of woody plant encroachment in calcareous fens are modified by biotic and abiotic land-use legacies. J Appl Ecol 53:541–549
Berg EE, Hillman KM, Dial R, DeRuwe A (2009) Recent woody invasion of wetlands on the Kenai Peninsula Lowlands, south-central Alaska: a major regime shift after 18,000 years of wet Sphagnum–sedge peat recruitment. Can J Forest Res 39:2033–2046
Bino G, Sisson SA, Kingsford RT, Thomas RF, Bowen S (2015) Developing state and transition models of floodplain vegetation dynamics as a tool for conservation decision-making: a case study of the Macquarie Marshes Ramsar wetland. J Appl Ecol 52:654–664
Bowen S, Powell M, Cox SJ, Simpson SL, Childs P (2011) Riverina red gum reserves mapping program: stage 1. NSW Office of Environment and Heritage, Canberra
Bowen S, Simpson SL (2008) Changes in extent and condition of the vegetation communities of the Macquarie Marshes floodplain 1991–2008. Report for the NSW Wetland Recovery Program. NSW Department of Environment and Climate Change, Sydney
Bowman DMJS (1998) The impact of Aboriginal landscape burning on the Australian biota. New Phytol 140:385–410
Bowman DMJS, Riley JE, Boggs GS, Lehmann CER, Prior LD (2008) Do feral buffalo (Bubalus bubalis) explain the increase of woody cover in savannas of Kakadu National Park, Australia? J Biogeogr 35:1976–1988
Bowman DMJS, Wood SW, Neyland D, Sanders GJ, Prior LD (2013) Contracting Tasmanian montane grasslands within a forest matrix is consistent with cessation of aboriginal fire management. Aust Ecol 38:627–638
Braithwaite LW, Frith HJ (1969) Waterfowl in an inland swamp in New South Wales. 1. Habitat. CSIRO Wildlife Res 14:1–16
Briggs JM, Knapp AK, Blair JM, Heisler JL, Hoch GA, Lett MS, Mccarron JK (2005) An ecosystem in transition: causes and consequences of the conversion of mesic grassland to shrubland. BioSciences 55:243–254
Carol Adair E, Reich PB, Trost JJ, Hobbie SE (2011) Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than by enhancing soil moisture. Global Change Biol 17:3546–3563
Catelotti K, Kingsford RT, Bino G, Bacon P (2015) Inundation requirements for persistence and recovery of river red gums (Eucalyptus camaldulensis) in semi-arid Australia. Biol Cons 184:346–356
Chiew FHS, Young WJ, Cai W, Teng J (2011) Current drought and future hydroclimate projections in southeast Australia and implications for water resources management. Stoch Environ Res Risk A 25:601–612
Chesterfield EA (1986) Changes in the vegetation of the river red gum forest at Barmah, Victoria. Aust For 49(1):4–15
Colloff MJ, Ward KA, Roberts J (2014) Ecology and conservation of grassy wetlands dominated by spiny mud grass Pseudoraphis spinescens in the southern Murray-Darling Basin, Australia. Aquat Conserv 24:238–255
CSIRO (2008) Water availability in the Murray-Darling Basin. A report to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project. CSIRO, Canberra, p 67
Cunningham SC, Thomson JR, Mac Nally R, Read J, Baker PJ (2011) Groundwater change forecasts widespread forest dieback across an extensive floodplain system. Freshw Biol 56(8):1494–1508
Doody TM, Colloff MJ, Davies M, Koul V, Benyon RG, Nagler PL (2015) Quantifying water requirements of riparian river red gum (Eucalyptus camaldulensis) in the Murray-Darling Basin, Australia: implications for environmental water allocations. Ecohydrology 8:1471–1487
Dorado-Rodrigues TF, Layme VMG, Silva FHB, Nunes da Cunha C, Strüssmann C (2015) Effects of shrub encroachment on the anuran community in periodically flooded grasslands of the largest Neotropical wetland. Aust Ecol 40:547–557
Eamus D, Palmer AR (2008) Is climate change a possible explanation for woody thickening in arid and semi-arid regions? Int J Ecol. https://doi.org/10.1155/2007/37364
Favreau M, Pellerin S, Poulin M (2019) Tree encroachment induces biotic differentiation in Sphagnum-dominated bogs. Wetlands 39:841–852
Fazey I, Proust K, Newell B, Johnson B, Fazey JA (2006) Eliciting the implicit knowledge and perceptions of on-ground conservation managers of the Macquarie Marshes. Ecol Soc 11:25
Fensham RJ, Fairfax RJ, Archer SR (2005) Rainfall, land use and woody vegetation cover change in semi-arid Australian savanna. J Ecol 93:596–606
Hamandawana H, Chanda R (2010) Natural and human dimensions of environmental change in the proximal reaches of Botswana’s Okavango Delta. Geog J 176:58–76
Harris RMB, Beaumont LJ, Vance TR, Tozer CR, Remenyi TA, Perkins-Kirkpatrick SE, Mitchell PJ, Nicotra AB, McGregor S, Andrew NR, Letnic M (2018) Biological responses to the press and pulse of climate trends and extreme events. Nat Clim Change 8:579
Horner GJ, Baker PJ, Mac Nally R, Cunningham SC, Thomson JR, Hamilton F (2009) Mortality of developing floodplain forests subjected to a drying climate and water extraction. Global Change Biol 15:2176–2186
Idso S (1992) Shrubland expansion in the American Southwest. Clim Change 22:85–86
Iles J, Kelleway J, Kobayashi T, Mazumder D, Knowles L, Priddel D, Saintilan N (2010) Grazing kangaroos act as local recyclers of energy on semiarid floodplains. Aust J Zool 58:145–149
Johnson W, Wilson B, Robb J (1992) Vegetation survey of the Macquarie marshes. NSW National Parks and Wildlife Service, Coonabarabran
Junk WJ, Da Cunha CN (2012) Pasture clearing from invasive woody plants in the Pantanal: a tool for sustainable management or environmental destruction? Wetl Ecol Manag 20:111–122
Mac Nally R, Cunningham SC, Baker PJ, Horner GJ, Thomson JR (2011) Dynamics of Murray-darling floodplain forests under multiple stressors: the past, present, and future of an Australian icon. Water Resour Res. https://doi.org/10.1029/2011WR010383
Maestre FT, Bowker MA, Puche MD, Belén Hinojosa M, Martínez I, García-Palacios P, Castillo AP, Soliveres S, Luzuriaga AL, Sánchez AM, Carreira JA (2009) Shrub encroachment can reverse desertification in semi-arid Mediterranean grasslands. Ecol Lett 12:930–941
Maguire O, Armstrong RC, Benson JS, Streeter R, Paterson C, McDonald P, Salter N, East M, Webster M, Sheahan M, Young D (2012) Using high resolution digital aerial imagery interpreted in a 3-D digital GIS environment to map predefined plant communities in central-southern New South Wales. Cunninghamia 12(4):247–266
Martin MR, Tipping PW, Sickman JO (2009) Invasion by an exotic tree alters above and belowground ecosystem components. Biol Invas 11:1883–1894
Mayence CE, Marshall DJ, Godfree RC (2010) Hydrologic and mechanical control for an invasive wetland plant, Juncus ingens, and implications for rehabilitating and managing Murray River floodplain wetlands, Australia. Wetl Ecol Manag 18:717–730
Middleton BA, Holsten B, van Diggelen R (2006) Biodiversity management of fens and fen meadows by grazing, cutting and burning. Appl Veg Sci 9:307–316
Misra R (1983) Indian savannas. In: Bourliere F (ed) Ecosystems of the world. Elsevier, New York, pp 151–166
Nunes da Cunha C, Junk WJ (2004) Year-to-year changes in water level drive the invasion of Vochysia divergens in Pantanal grasslands. Appl Veg Sci 7:103–110
Office of Environment and Heritage (2017) Vegetation information system: classification. http://www.environment.nsw.gov.au/research/Visclassification.htm. Accessed 15 Oct 2017
Pellerin S, Lavoie M, Boucheny A, Larocque M, Garneau M (2016) Recent vegetation dynamics and hydrological changes in bogs located in an agricultural landsc. Wetlands 36:159–168
Peng HY, Li XY, Li GY, Zhang ZH, Zhang SY, Li L, Chao GQ, Jiang ZY, Ma YJ (2013) Shrub encroachment with increasing anthropogenic disturbance in the semiarid Inner Mongolian grasslands of China. CATENA 109:39–48
Polley HW, Mayeux HS, Johnson HB, Tischler CR (1997) Viewpoint: atmospheric CO2, soil water, and shrub/grass ratios on rangelands. J Range Manag 50:278–284
Puckridge JT, Sheldon F, Walker KF, Boulton AJ (1998) Flow variability and the ecology of large rivers. Mar Freshw Res 49:55–72
Quintana-Ascencio PF, Fauth JE, Castro Morales LM, Ponzio KJ, Hall D, Snyder K (2013) Taming the beast: managing hydrology to control Carolina Willow (Salix caroliniana) seedlings and cuttings. Rest Ecol 21:639–647
Rogers K, Wilton KM, Saintilan N (2006) Vegetation change and surface elevation dynamics in estuarine wetlands of southeast Australia. Estuar Coast Shelf Sci 66:559–569
Saintilan N, Rogers K (2015) Woody plant encroachment of grasslands: a comparison of terrestrial and wetland settings. New Phytol 205:1062–1070
Saintilan N, Wilson NC, Rogers K, Rajkaran A, Krauss KW (2014) Mangrove expansion and salt marsh decline at mangrove poleward limits. Global Change Biol 20:147–157
Sandi SG, Saco PM, Saintilan N, Wen L, Riccardi G, Kuczera G, Rodríguez JF (2019) Detecting inundation thresholds for dryland wetland vulnerability. Adv Water Resour 128:168–182
Song XP, Hansen MC, Stehman SV, Potapov PV, Tyukavina A, Vermote EF, Townshend JR (2018) Global land change from 1982 to 2016. Nature 560:639
Stine MB, Resler LM, Campbell JB (2011) Ecotone characteristics of a southern Appalachian Mountain wetland. CATENA 86:57–65
Ummenhofer CC, England MH, McIntosh PC, Meyers GA, Pook MJ, Risbey JS, Gupta AS, Taschetto AS (2009) What causes southeast Australia’s worst droughts? Geophys Res Lett. https://doi.org/10.1029/2008GL036801
Van Auken OW (2009) Causes and consequences of woody plant encroachment into western North American grasslands. J Environ Manag 90:2931–2942
van Dijk AI, Beck HE, Crosbie RS, de Jeu RA, Liu YY, Podger GM, Timbal B, Viney NR (2013) The millennium drought in southeast Australia (2001–2009): natural and human causes and implications for water resources, ecosystems, economy, and society. Water Resour Res 49:1040–1057
Verdon DC, Wyatt AM, Kiem AS, Franks SW (2004) Multidecadal variability of rainfall and streamflow: eastern Australia. Water Resour Res 40:1–8
Vivian LM, Godfree RC, Colloff MJ, Mayence CE, Marshall DJ (2014) Wetland plant growth under contrasting water regimes associated with river regulation and drought: implications for environmental water management. Plant Ecol 215:997–1011
Wassens S, Ning N, Hardwick L, Bino G, Maguire J (2017) Long-term changes in freshwater aquatic plant communities following extreme drought. Hydrobiologia 799:233–247
Watterson IG, Whetton PH (2011) Distributions of decadal means of temperature and precipitation change under global warming. J Geophys Res. https://doi.org/10.1029/2010jd014502
Wen L, Saintilan N (2015) Climate phase drives canopy condition in a large semi-arid floodplain forest. J Environ Manag 159:279–287
Whitaker K, Rogers K, Saintilan N, Mazumder D, Wen L, Morrison RJ (2015) Vegetation persistence and carbon storage: implications for environmental water management for Phragmites australis. Wat Resour Res 51:5284–5300
Wilson R (1992) Vegetation map of the Macquarie Marshes. Department of Environment and Climate Change NSW, Sydney
Acknowledgements
Sara Karimi was supported by a Macquarie University research training fellowship. Mapping was funded by the NSW Wetland Recovery Plan and the NSW Rivers Environmental Restoration Program. Shannon Simpson contributed to aerial photograph interpretation for the Macquarie Marshes. Figure 1 was developed with the aid of the IAN Image and Video Library made available through the University of Maryland.
Funding
The funding was supported by Department of the Environment, Australian Government.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Saintilan, N., Bowen, S., Maguire, O. et al. Resilience of trees and the vulnerability of grasslands to climate change in temperate Australian wetlands. Landscape Ecol 36, 803–814 (2021). https://doi.org/10.1007/s10980-020-01176-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10980-020-01176-5