Abstract
Australian species of the genus Acacia are amongst the most invasive trees. As nitrogen fixers, they are able to invade oligotrophic ecosystems and alter ecosystem functioning to their benefit. We aimed to answer three questions: How does early Acacia invasion influence nitrogen and light in a sandy savanna? How does early Acacia invasion impact biodiversity? Does early invasion alter ecosystem functioning towards the dominance of Acacia? We analyzed (using generalized linear mixed models and richness estimators) paired plots focused on plants of Acacia mangium (Fabaceae) and plants of Marcetia taxifolia (Melastomataceae) by taking hemispherical photos and sampling plants, leaves and soil for measurements of light, richness, leaf nitrogen, leaf δ15N, soil nitrogen and soil coarse sand. The results suggest that early Acacia invasion alters the control of soil and of leaf nitrogen and increases shading, enabling a much wider range of light variation. The δ15N results suggest that the nitrogen taken up by Acacia is transferred to neighboring plants and influences the light environment, suggesting facilitation. The enrichment of plant species observed during early Acacia invasion is consistent with the wider range of light variation, but the forecasted leaf nitrogen conditions during the established phase of Acacia invasion might cause loss of light-demanding species because of increased shading. If early Acacia invasion turns into an established phase with highly increased shading, Acacia seedlings might be favored and ecosystem functioning might change towards its dominance.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Tree species of the genus Acacia, subgenus Phyllodineae, native to Australia and Papua New-Guinea (hereafter just Acacia), are amongst the most invasive trees in the world (Richardson and Rejmánek 2011). As nitrogen fixers (Sprent 2009), Acacia species are able to invade oligotrophic ecosystems (Rascher et al. 2011b) and alter environmental factors, frequently to their benefit (Peperkorn et al. 2005). Many habitat alterations resulting from the biological invasion of Acacia have been reported, mainly nitrogen fixation, shading, seed bank creation, litter accumulation, allelopathy, and water uptake (Le Maitre et al. 2011). Despite the information accumulated from many recent studies, the early phase of plant invasions in general, and of Acacia in particular, remain poorly understood (Rouget et al. 2016), including environmental changes in nitrogen and light, the most important factors during the early phases of tree invasion (Siemann and Rogers 2003). As lag phase and early log phase are windows of opportunity for invasion control, so understanding mechanisms underlying early invasion are critical for management of invaded ecosystems (Crooks 2005; Geerts et al. 2013).
There is theoretical and observational evidence that plant invasions mostly impact biodiversity and ecosystem functioning. Comparisons revealed contrasting differences between Acacia-invaded plots and non-invaded plots in coastal dunes and in pine forests, with higher values of basal area and canopy cover of trees in invaded plots (Rascher et al. 2011a). Moreover, as Acacia uses P more efficiently for biomass production in sandy ecosystems than native flora, native plants in Acacia-invaded plots have increased leaf N, and depleted leaf P, altering their N/P balance (Ulm et al. 2017). How increased leaf N, depleted leaf P and changed N/P balance impact invaded ecosystems has remained largely unknown.
Although plant functional traits of invasive species are often related to highly efficient use of resources (Drenovsky et al. 2012), evidence is still lacking with regard to shifts in the environmental determinants of niche (e.g., Hutchinsonian niche dimensions of light and nitrogen) from the initial phase of invasion to environmental conditions realized during the established phase (Guisan et al. 2014). Alterations to the ecological processes of oligotrophic ecosystems caused by tree species invasions has the potential to outfit the native flora (Funk and Vitousek 2007), and is fundamental to understanding the ability of Acacia to establish and grow in many low-resource ecosystems around the world. For instance, the soil C:N ratio has been reported to be lower (i.e., higher nutritional status) in soils in invaded plots than in non-invaded plots, thus depicting high-resource ecosystems for plants, influencing the band composition of soil bacterial communities and, consequently, impacting soil functioning (Lazzaro et al. 2014). The soil of plots invaded by Acacia have high rates of nitrification and high nitrogen availability for plants (Marchante et al. 2008). Such increased nitrogen availability has the potential to impact negatively native biodiversity interacting with microclimatic variables (Porter et al. 2012). Therefore, soil nitrogen content, leaf nitrogen, and light are tightly associated in ecosystem processes that support aboveground biodiversity (Clark and Tilman 2008; Hautier et al. 2009; Dickson and Foster 2011).
Over the last few years, the meaning of δ15N values as tracers of ecological processes and of different sources of N for plants in natural ecosystems has been increasingly better understood (Craine et al. 2015). NO3− and NH4+ uptake have different amplitudes of δ15N (Russell et al. 1998; Houlton and Bai 2009), if nitrogen cycling is conservative or not, and depending on the interactions involved in N uptake, such as with nitrogen fixing bacteria and mycorrhizal associations, which are strongly distinguished by δ15N (Hobbie and Hobbie 2008; Craine et al. 2015). Therefore, δ15N not only allows determine the source of nitrogen used by plants to be determined, but also allows determine if plants have similar nitrogen niches and which ecological processes are involved in nitrogen uptake.
The present work aimed to study plant biodiversity (richness) and soil and leaf variables in order to understand the effects of the early phases of Acacia invasion in a sandy oligotrophic ecosystem, and answer the following questions: 1—How does early Acacia invasion alter processes and regimes related to soil, nitrogen, and light? 2—How does early Acacia invasion impact biodiversity? 3—Do the changes caused by early invasion alter the ecosystem functioning towards the dominance of the invasive Acacia?
Materials and methods
Study site
The studied invaded ecosystem is the Brazilian Mussununga, a white-sand vegetation that varies from grassland to woodland. It has soils derived from Tertiary sandstones and a patchy physiognomic form (Meira-Neto et al. 2005; Saporetti et al. 2012). The sampled vegetation is a mosaic of sandy savannas amid a matrix of Eucalyptus plantations regenerating after different types of disturbances such as clear-cutting, grazing and fire (Meira-Neto et al. 2005). The climate is tropical, without drought and with a mean annual rainfall of 1400 mm; Af-type according to the Köppen’s system.
Sampling design
For comparisons between invaded sites and non-invaded sites, we used Acacia-focused plots and native-plant-focused plots (Ulm et al. 2017) in order to determine any differences in vegetation structure as well as in the leaf nitrogen, leaf δ15N and leaf carbon. Fifteen circular invaded plots (3-m radius) focused on Acacia mangium Willd. (Fabaceae) plants were plotted and paired (centers 12-m distant) with non-invaded plots (3-m radius) focused on Marcetia taxifolia (A. St.-Hil.) DC. (Melastomataceae) plants in the same Mussununga physiognomy, the open savanna, of three different patches (5 pairs per patch) where the invasion was initiating. Marcetia taxifolia was chosen as focal native plants because it is a dominant woody species in those comunities. We established 15 pairs of plots distributed among three Mussununga patches, each pair placed at least 30 m distant from any other pair.
Species richness estimation
All of the plants in each plot were sampled and identified to species level. Species richness was computed using EstimateS 9.1.0 and tested by means of sample based rarefaction (Colwell et al. 2012; Colwell 2013).
Soil sampling
Composite soil samples from 0 to 20 cm of depth were taken from each plot for routine chemical analyses of soil, organic matter content and proportions of fine sand, coarse sand, clay and silt (EMBRAPA 1997). We used the Kjeldahl method for measuring total soil nitrogen (Raveh and Avnimelech 1979).
Light
We took digital hemispherical photos during completely overcast days with a Nikon Coolpix 5700 camera with a Nikon Fisheye FC-E9 lens. The photos were taken from the center of the plots at 1.3 m above the ground using a tripod. The camera was pointed to the zenith and oriented to magnetic north, with geographic coordinates and elevation recorded according to the procedures for analysis using GLA software (Frazer et al. 1999). We used total light percentage (the sum of direct and diffuse transmitted light) of each plot as a variable.
Leaf nitrogen, leaf δ15N and leaf carbon
Every plant inside plots with at least three adult leaves was sampled (three leaves each) for measuring carbon, nitrogen and δ15N.
To determine δ15N, the sampled leaves were dried at 65 °C to constant weight and ground to a powder using a ball mill (Retsch, Haan, Germany). Nitrogen and carbon concentration and δ15N were analyzed using an elemental analyzer (HEKAtech, Weinberg, Germany) with a continuous-flow stable isotope ratio mass spectrometer (ISOPRIME, GV, Manchester, UK), and measured against an ammonium sulphate standard (IAEA.N2). N isotope ratios are presented in δ notation:
where Rstandard is the 15N/14N ratio of atmospheric N2 and Rsample is the 15N/14N ratio of the sampled leaves. The repeated measurement precision was 0.2o/oo.
Statistical analyses
To test the relationships between vegetation, soil properties, leaf properties and light, we performed generalized linear mixed models (Glmm) using the lmer function of the lme4 package (Bates et al. 2014) testing differences of leaf δ15N, leaf nitrogen content, and light between invaded plots and non-invaded plots.
A global model of Glmm was tested with the following formula: light ~ coarse sand * focal species + leaf nitrogen * focal species. That model was chosen among others as explained below, and depicts light as response variable of interacting coarse sand, focal species of plots (i.e., Acacia and Marcetia), and leaf nitrogen.
Patches were the random effects for Glmms. For global model selection we used an information theoretical approach based on the Akaike Information Criterion of the Second Order (AICc). We used the dredge function from the MuMIn package to test all combinations of variables included in the models. The lowest AICc value indicated the best model, if delta < 2 (Burnham et al. 2010). We performed analyses using R version 2.15.1 (R Development Core Team 2012).
Bidimensional environmental forecast
Based on known values of leaf nitrogen in established phases of Acacia invasion in sandy ecosystems (Rascher et al. 2012), we used the leaf N × light equation found by the global model of Glmm to predict the bidimensional environment of leaf N and light in the future established phase of Acacia invasion in Mussununga.
Results
Among 15 focal Marcetia plants of non-invaded plots, five exhibited values of δ15N between 0 and − 5, two exhibited δ15N higher than 0, and eight exhibited δ15N lower than − 5. In contrast, of the 15 focal Acacia plants of the invaded plots, 14 exhibited values of δ15N between 0 and − 5, and only one with δ15N lower than − 5 (data not shown). Therefore, the invaded plots had more plants within the δ15N class of values of 0 to − 5 than the non-invaded plots, whereas there were no significant differences in the number of plants within the δ15N classes of lower than − 5 or higher than 0 (Fig. 1, Table 1). Figure 1 suggests that Acacia-focused plots have more plants within the δ15N class of values of 0 to − 5 because Acacia focal plants have their δ15N in this class and transfer nitrogen to neighbor plants.
Leaf nitrogen content did not differ between invaded and non-invaded plots. However, invaded plots had a lower light percentage than non-invaded plots (Fig. 2, Table 1).
The selected global Glmm ‘light ~ coarse sand * focal species + leaf nitrogen * focal species’ had delta = 0 (i.e., significant, Table 1), with light as a response variable of coarse sand and leaf nitrogen in invaded and in non-invaded plots. The selected global model suggests that light responds widely to variation in coarse sand and leaf nitrogen in invaded plots, whereas in non-invaded plots its response to variation in these variables is negligible (Fig. 3). In invaded plots, light increases as coarse sand (%) increases (Fig. 3a), whereas light decreases as leaf nitrogen increases (Fig. 3b). Therefore, the results suggest that Acacia invasion relates the light environment with coarse sand and leaf nitrogen.
The relationship between leaf nitrogen content and light percentage delimits different environmental conditions in invaded plots versus non-invaded plots because of the non-overlapping range of variation in light. As a result, there was greater bidimensional environment in invaded plots than in non-invaded plots (Figs. 3, 4). Congruently, invaded plots had higher species richness than non-invaded plots (Fig. 5), suggesting niche diversification.
Discussion
Acacia invasion enables the ecosystem to respond with a significantly wider range of shading due to soil variation (i.e., drought stress amelioration caused by the decreasing percentage coarse sand, Saporetti et al. 2012), and to increasing leaf nitrogen. This represents quite a different functioning of the invaded ecosystems, considering that the non-invaded ecosystems do not respond with shading to decreasing proportion of coarse sand and increasing leaf nitrogen content, even within the same range of variation. This change in functioning potentially threatens light-demanding species of the native flora due to increased shading.
The δ15N values of almost all Acacia plants were in the class of − 5 to 0. Furthermore, there were more plants with leaf δ15N values in this class in invaded plots than in non-invaded plots, suggesting that the nitrogen from Acacia plants spread to other plants in invaded plots, just as has been observed in other invasions of Acacia in sandy oligotrophic ecosystems (Rascher et al. 2012). Therefore, the more Acacia plants in the sandy savanna, the more nitrogen taken up by Acacia, the more N transference to other plants, and the more shading in that ecosystem. Thus, the δ15N results suggest positive interactions between Acacia and other plants in invaded plots; in short, it suggests plant–plant facilitation.
The light attenuation, increased leaf nitrogen, and increased richness caused by the Acacia trees reinforce the suggestion of facilitation. Moreover, light attenuation with higher leaf nitrogen content in invaded plots may cause positive feedback between nitrogen and shade (Siemann and Rogers 2003) as well as plant growth and shade (Egerton et al. 2000). These positive feedbacks are similar to results found in patchy savanna of Mussununga vegetation (Meira-Neto et al. 2017 unpublished). Therefore, Acacia invaders may have nursing plants of other species in the highly illuminated sandy savanna.
Since early invasion enables the ecosystem to respond to variation in soil and leaf nitrogen with more shading, the δ15N results suggest the hypotheses that the increased leaf nitrogen in plants of invaded plots is an effect of nitrogen uptake mediated by interactions such as Acacia roots with nitrogen fixing bacteria (Sprent 2009), as is seen with plant roots with mycorrhiza (Rodríguez-Echeverría et al. 2013), or soil microorganisms (Lorenzo et al. 2010). The results also suggest that soil nitrogen does not influence canopy openness and aboveground biomass in neither the early-invaded plots nor the non-invaded plots. Since soil C:N ratio has been reported to be lower (i.e., higher nutritional status) in soils of invaded plots than in non-invaded plots (Lazzaro et al. 2014), the early Acacia invasion may not have yet changed the C:N ratio of the soil, although there is already change in soil functioning, at least at the level of interactions between plants.
The leaf nitrogen that influences the light environment seems not to be related to soil nitrogen content during early Acacia invasion. Thus, these results suggest that most of the nitrogen taken up by plants in invaded plots is not from the soil stock, but from the atmosphere and precipitation, mediated by interactions with nitrogen fixing bacteria, mycorrhiza and other plants, including non-leguminous plants (Sprent 2007; Santi et al. 2013); this may be the main cause of the negative δ15N in most of the plants, since nitrogen uptake via mycorrhizal associations might deplete 15N. One possible cause is that fungi have quite selective enzymes acting on organic nitrogen that largely prefer 14N, thereby decreasing 15N in plants (Zabinski et al. 2002; Wilson et al. 2006; Hobbie and Hobbie 2008). Additionally, negative δ15N values are expected in ecosystems with open N cycling, especially in ecosystems with low nutrient stock, and in unpolluted regions (Garten 1992; Austin and Vitousek 1998).
The relationship between leaf nitrogen and light in the invaded plots of this oligotrophic ecosystem allows the prediction of environmental shifting of niche determinants if the current invasion trend is maintained up to the established phase. The shifting indicated by the blue arrow of Fig. 4, obtained from leaf nitrogen values of established phases of Acacia invasions in other sandy ecosystems, might cause an increase in leaf nitrogen as well as increased shading, narrowing the environmental condition determined by light and leaf nitrogen, with a possible impoverishment of niche diversity (i.e., decreased species richness). In this case, leaf nitrogen content might be around 2.5% with low variation in light and leaf nitrogen in the invaded plots (blue ellipsis), which is a common leaf nitrogen level in environments in the late phases of Acacia invasion (Rascher et al. 2011b).
The shading caused by canopies in invaded plots seems to be mediated by abiotic factors, and by positive biotic interactions between Acacia and, at least, other plants of the invaded ecosystem. Therefore, these results suggest that ecological interactions (Soberón 2007) have been added to the abiotic variables of niches (Winemiller et al. 2015) as assembly rules of Acacia-invaded ecosystems, resulting in a mix of Hutchinsonian and Eltonian niches.
Concerning the questions raised at the beginning of this study, the results revealed that early Acacia invasion alters the control of soil and of leaf nitrogen, enabling variation in the light environment and enhancing remarkably shading. As a result, the changed control of the light environment in invaded ecosystems causes much more shading than in the non-invaded ecosystems. The δ15N results suggest nitrogen transference by Acacia to neighboring plants, and that the altered controls of the light environment became enabled, at least partially, by ecological interactions during early Acacia invasion, including facilitation. The enrichment of plant species observed during early Acacia invasion reinforces the suggestion of facilitation, which is consistent with the wider range of the light environment, and suggests niche diversification. However, the leaf nitrogen conditions forecasted by the models found for the established phase of Acacia invasion might cause loss of light-demanding native species because of increased shading. Additionally, studies indicate that Acacia seedlings may be favored by shading in the established phase (Rascher et al. 2011a, b). Monitoring should be done to see if changes to the ecosystem during early invasion alter ecosystem functioning towards the dominance of the invasive Acacia during the established phase, and whether this leads to loss of native species, and destruction of the Mussununga ecosystem. Future studies are needed to confirm the results found here, and raise additional hypotheses for Acacia-invaded ecosystems, especially sandy ecosystems.
References
Austin AT, Vitousek PM (1998) Nutrient dynamics on a precipitation gradient in Hawai’i. Oecologia 113:519–529. https://doi.org/10.1007/s004420050405
Bates D, Maechler M, Bolker B et al (2014) lme4: linear mixed-effects models using Eigen and S4, p 117
Burnham KP, Anderson DR, Huyvaert KP (2010) AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behav Ecol Sociobiol 65:23–35. https://doi.org/10.1007/s00265-010-1029-6
Clark CM, Tilman D (2008) Loss of plant species after chronic low-level nitrogen deposition to prairie grasslands. Nature 451:712–715. https://doi.org/10.1038/nature06503
Colwell RK (2013) EstimateS: biodiversity estimation of species richness and shared species from samples. http://viceroy.eeb.uconn.edu/estimates/EstimateSPages/EstSUsersGuide/EstimateSUsersGuide.htm. Accessed 18 May 2016
Colwell RK, Chao A, Gotelli NJ et al (2012) Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages. J Plant Ecol 5:3–21. https://doi.org/10.1093/jpe/rtr044
Craine JM, Brookshire ENJ, Cramer MD et al (2015) Ecological interpretations of nitrogen isotope ratios of terrestrial plants and soils. Plant Soil 396:1–26. https://doi.org/10.1007/s11104-015-2542-1
Crooks JA (2005) Lag times and exotic species: the ecology and management of biological invasions in slow-motion. Ecoscience 12:316–329. https://doi.org/10.2980/i1195-6860-12-3-316.1
Dickson TL, Foster BL (2011) Fertilization decreases plant biodiversity even when light is not limiting. Ecol Lett 14:380–388. https://doi.org/10.1111/j.1461-0248.2011.01599.x
Drenovsky RE, Grewell BJ, D’Antonio CM et al (2012) A functional trait perspective on plant invasion. Ann Bot. https://doi.org/10.1093/aob/mcs100
Egerton JJG, Banks JCG, Gibson A et al (2000) Facilitation of seedling establishment: reduction in irradiance enhances winter growth of Eucalyptus pauciflora. Ecology 81:1437–1449. https://doi.org/10.1890/0012-9658(2000)081[1437:FOSERI]2.0.CO;2
EMBRAPA (1997) Manual de métodos de análise de solo. Centro Nacional de Pesquisa de Solo, Rio de Janeiro
Frazer GW, Canham CD, Lertzman KP (1999) Gap Light Analyzer (GLA): imaging software to extract canopy structure and gap light transmission indices from true-colour fisheye photographs. Users Manual and Program Documentation, Version 2.0. Simon Fraser University and Institute of Ecosystem Studies, Burnaby, British Columbia
Funk JL, Vitousek PM (2007) Resource-use efficiency and plant invasion in low-resource systems. Nature 446:1079–1081. https://doi.org/10.1038/nature05719
Garten CT (1992) Nitrogen isotope composition of ammonium and nitrate in bulk precipitation and forest throughfall. Int J Environ Anal Chem 47:33–45. https://doi.org/10.1080/03067319208027017
Geerts S, Moodley D, Gaertner M et al (2013) The absence of fire can cause a lag phase: the invasion dynamics of Banksia ericifolia (Proteaceae). Austral Ecol 38:931–941. https://doi.org/10.1111/aec.12035
Guisan A, Petitpierre B, Broennimann O et al (2014) Unifying niche shift studies: insights from biological invasions. Trends Ecol Evol 29:260–269. https://doi.org/10.1016/j.tree.2014.02.009
Hautier Y, Niklaus PA, Hector A (2009) Competition for light causes plant biodiversity loss after eutrophication. Science 324:636–638. https://doi.org/10.1126/science.1169640
Hobbie EA, Hobbie JE (2008) Natural abundance of 15N in nitrogen-limited forests and tundra can estimate nitrogen cycling through mycorrhizal fungi: a review. Ecosystems 11:815–830. https://doi.org/10.1007/s10021-008-9159-7
Houlton BZ, Bai E (2009) Imprint of denitrifying bacteria on the global terrestrial biosphere. Proc Natl Acad Sci 106:21713–21716. https://doi.org/10.1073/pnas.0912111106
Lazzaro L, Giuliani C, Fabiani A et al (2014) Soil and plant changing after invasion: the case of Acacia dealbata in a Mediterranean ecosystem. Sci Total Environ 497–498:491–498. https://doi.org/10.1016/j.scitotenv.2014.08.014
Le Maitre DC, Gaertner M, Marchante E et al (2011) Impacts of invasive Australian acacias: implications for management and restoration. Divers Distrib 17:1015–1029. https://doi.org/10.1111/j.1472-4642.2011.00816.x
Lorenzo P, Rodríguez-Echeverría S, González L, Freitas H (2010) Effect of invasive Acacia dealbata link on soil microorganisms as determined by PCR-DGGE. Appl Soil Ecol 44:245–251. https://doi.org/10.1016/j.apsoil.2010.01.001
Marchante E, Kjøller A, Struwe S, Freitas H (2008) Short- and long-term impacts of Acacia longifolia invasion on the belowground processes of a Mediterranean coastal dune ecosystem. Appl Soil Ecol 40:210–217. https://doi.org/10.1016/j.apsoil.2008.04.004
Meira-Neto JAA, de Souza AL, de Lana JM, Valente GE (2005) Composição florística, espectro biológico e fitofisionomia da vegetação de muçununga nos municípios de Caravelas e Mucuri, Bahia. Rev Árvore 29:139–150. https://doi.org/10.1590/S0100-67622005000100015
Meira-Neto JAA, Tolentino GS, da Silva MCNA et al (2017) Functional antagonism between nitrogen-fixing leguminous trees and calcicole-drought-tolerant trees in the Cerrado. Acta Bot Bras 31:11–18. https://doi.org/10.1590/0102-33062016abb0380
Peperkorn R, Werner C, Beyschlag W (2005) Phenotypic plasticity of an invasive acacia versus two native Mediterranean species. Funct Plant Biol 32:933–944
Porter EM, Bowman WD, Clark CM et al (2012) Interactive effects of anthropogenic nitrogen enrichment and climate change on terrestrial and aquatic biodiversity. Biogeochemistry 114:93–120. https://doi.org/10.1007/s10533-012-9803-3
R Development Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
Rascher KG, Große-Stoltenberg A, Máguas C et al (2011a) Acacia longifolia invasion impacts vegetation structure and regeneration dynamics in open dunes and pine forests. Biol Invasions 13:1099–1113. https://doi.org/10.1007/s10530-011-9949-2
Rascher KG, Große-Stoltenberg A, Máguas C, Werner C (2011b) Understory invasion by Acacia longifolia Alters the water balance and carbon gain of a Mediterranean pine forest. Ecosystems 14:904–919. https://doi.org/10.1007/s10021-011-9453-7
Rascher KG, Hellmann C, Máguas C, Werner C (2012) Community scale 15N isoscapes: tracing the spatial impact of an exotic N2-fixing invader. Ecol Lett 15:484–491. https://doi.org/10.1111/j.1461-0248.2012.01761.x
Raveh A, Avnimelech Y (1979) Total nitrogen analysis in water, soil and plant material with persulphate oxidation. Water Res 13:911–912. https://doi.org/10.1016/0043-1354(79)90227-6
Richardson DM, Rejmánek M (2011) Trees and shrubs as invasive alien species—a global review. Divers Distrib 17:788–809. https://doi.org/10.1111/j.1472-4642.2011.00782.x
Rodríguez-Echeverría S, Afonso C, Correia M et al (2013) The effect of soil legacy on competition and invasion by Acacia dealbata link. Plant Ecol 214:1139–1146. https://doi.org/10.1007/s11258-013-0238-2
Rouget M, Robertson MP, Wilson JRU et al (2016) Invasion debt—quantifying future biological invasions. Divers Distrib 22:445–456. https://doi.org/10.1111/ddi.12408
Russell KM, Galloway JN, Macko SA et al (1998) Sources of nitrogen in wet deposition to the Chesapeake Bay region. Atmos Environ 32:2453–2465. https://doi.org/10.1016/S1352-2310(98)00044-2
Santi C, Bogusz D, Franche C (2013) Biological nitrogen fixation in non-legume plants. Ann Bot. https://doi.org/10.1093/aob/mct048
Saporetti AW, Schaefer CEGR, de Souza AL et al (2012) Influence of soil physical properties on plants of the Mussununga ecosystem, Brazil. Folia Geobot 47:29–39. https://doi.org/10.2307/23264900
Siemann E, Rogers WE (2003) Changes in light and nitrogen availability under pioneer trees may indirectly facilitate tree invasions of grasslands. J Ecol 91:923–931. https://doi.org/10.1046/j.1365-2745.2003.00822.x
Soberón J (2007) Grinnellian and Eltonian niches and geographic distributions of species. Ecol Lett 10:1115–1123. https://doi.org/10.1111/j.1461-0248.2007.01107.x
Sprent JI (2007) Evolving ideas of legume evolution and diversity: a taxonomic perspective on the occurrence of nodulation. New Phytol 174:11–25
Sprent JI (2009) Legume nodulation: a global perspective. Wiley, London
Ulm F, Hellmann C, Cruz C, Máguas C (2017) N/P imbalance as a key driver for the invasion of oligotrophic dune systems by a woody legume. Oikos. https://doi.org/10.1111/oik.03810
Wilson GWT, Hartnett DC, Rice CW (2006) Mycorrhizal-mediated phosphorus transfer between tallgrass prairie plants Sorghastrum nutans and Artemisia ludoviciana. Funct Ecol 20:427–435. https://doi.org/10.1111/j.1365-2435.2006.01134.x
Winemiller KO, Fitzgerald DB, Bower LM, Pianka ER (2015) Functional traits, convergent evolution, and periodic tables of niches. Ecol Lett 18:737–751. https://doi.org/10.1111/ele.12462
Zabinski CA, Quinn L, Callaway RM (2002) Phosphorus uptake, not carbon transfer, explains arbuscular mycorrhizal enhancement of Centaurea maculosa in the presence of native grassland species. Funct Ecol 16:758–765. https://doi.org/10.1046/j.1365-2435.2002.00676.x
Acknowledgements
The authors thank FAPEMIG, CAPES, CNPq, and PIRSES (PIRSES-GA-2010-269206) for providing grants and scholarships for the INSPECTED.NET project. The authors also thank Rodrigo Nascimento Maia for helping in the stable isotope analyses; JAAMN holds a CNPq productivity fellowship (307591/2016-6).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Meira-Neto, J.A.A., da Silva, M.C.N.A., Tolentino, G.S. et al. Early Acacia invasion in a sandy ecosystem enables shading mediated by soil, leaf nitrogen and facilitation. Biol Invasions 20, 1567–1575 (2018). https://doi.org/10.1007/s10530-017-1647-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10530-017-1647-2