also check the DSO Resources folder for other references.
An ecosystem is made up of plants, animals (biodiversity) and abiotic factors which work together to capture, store and
transfer energy, nutrients and water. For example plants “capture” energy via photosynthesis and energy is stored as carbohydrates in plants or fats and proteins in animals after they have eaten
the plants. Soil organisms break down plant and animal tissues and transfer the energy to themselves, while returning nutrients to the soil for uptake by plants. The many organisms in an
ecosystem carry out these ecosystem functions, and the more diverse an ecosystem is, the more stable and reliable are these functions. The soil provides a good, easily studied example of an
The Task Assessing
1.1Macrofauna accelerate the rate
of organic matter decomposition. They break organic material into smaller pieces, and mix organic matter with soil. However, the relative numbers of macrofauna to microfauna in the soil is
Collect a sample of the leaf litter (O Horizon) and topsoil (A Horizon – no deeper than about 3cm) from two different locations. Choose from lawn, native
vegetation, garden bed, under different species of tree etc. or other distinctive site. Place the sample in plastic bags, seal them and label them with your name and the collection location. At
each site, record the type of vegetation at the site (eg. forest, swamp, lawn etc.) and some of the site characteristics in the table below, then use this to compare the soil habitat of the two
sites. If you do not have the equipment necessary (eg. pH kit or soil penetrometer), skip that characteristic.
type of vegetation
level of shade
soil texture (sandy, heavy clay etc)
On return to the lab, mix the soil and leaf litter sample from the same location thoroughly. Put a known volume of one sample in the Tulgren funnel. Leave it
for about 2 days, then remove the preserving jar containing ethanol and screw on the lid. Place the sample from the second location in the Tulgren funnel, and remove after about 2 days, following
the same procedure. If you know the volume of soil you examined, you will be able to directly compare the macrofauna abundance between the two sites.
1.1From the bags, examine a
measured volume of the leaf litter (O Horizon) and the topsoil (A Horizon) using a microscope or hand lense. Remove any fauna found to a clean jar or petri dish for identification. Identify all
organisms to Order if possible, but at least put them into different groups (ie. group A no legs – worms; group B 8 legs – spiders and mites etc.). Count the number of individuals from each Order
or group. If you have large numbers you may need to estimate the number rather than try to count them all.
number @ location 1
soil volume = ____
number @ location 2 2
soil volume = ____
1.3Empty the contents of the
collecting jar into a petri dish, and identify as many organisms as possible to Order or group. Count the number of individuals from each Order or group (as far as possible).
(b) smaller macrofauna
number @ location 1
soil volume = ____
number @ location 2
soil volume = ____
1.4Use the results from both
counts (1.2 and 1.3) and calculate the number of Orders or groups per litre of soil and leaf litter, and the numbers of individuals from each Order or
group per litre of soil and leaf litter.
number of Orders or groups per litre of soil/litter
eg. no. individuals of group B per litre of soil/litter
no. individuals of per litre of soil/litter
no. individuals of per litre of soil/litter
Your Report -Explaining the role of the soil biota
Your report should have a title, a brief introduction explaining what the prac is about, and a brief discussion (about 600 words) of the following questions.
You must also include a summary table of your results. This report can be written as a “question and answer” style, but it must be correctly referenced
1. How did the diversity (number of groups and number of individuals) of macrofauna from the soils from the two locations differ ? Can you suggest why there
might be differences. What soil parameters could you have measured which may help explain the differences ?
2. Explain the role of macrofauna in the soil.
3. On the food web diagram provided, label the type of biota
(eg. fungi, nematode etc.). what they do (predator, leaf shredder etc) and describe which way the energy “flows” eg. where does it first get “captured” and where does it “finish” (ie. the top of
the food chain). What happens to the energy and nutrients when the organisms at the top of the food chain die? Include this diagram with your report
What groups of organisms make up the mesofauna ?
What groups make up the microfauna?
What are the main functions of these two main groups ?
Check the Assessment Details File for the date. This report is worth 10% of your
Ekosistem Tanah - Biota Tanah dan Jaringan Makanan
Sesuatu ekosistem terdiri daripada tumbuhan, haiwan (biodiversiti) dan faktor-faktor
yang bekerja bersama untuk menjana, menyimpan dan memindahkan tenaga ,
dan air. Sebagai contoh, tumbuhan menjana tenaga dari proses fotosintesis dan
disimpan dalam bentuk karbohidrat dalam tumbuhan atau lemak dan protin dalam
selepas haiwan memakan tumbuhan tersebut. Organisma-organisma tanah
tisu-tisu tumbuhan dan haiwan dan memindahkan tenaga kepada mereka manakala
balik ke tanah untuk diambil balik oleh tumbuhan. Kebanyakan organisma
ekosistem ini menghasilkan fungsi –fungsi ekosistem dan menyumbang kepada
kepelbagaian dan kestabilan kepada ekosistem itu sendiri. Tanah menyediakan satu
kajian ekosistem yang mudah.
Tugasan: Mengukur Makrofauna
Makrofauna mempercepatkan kadar pereputan bahan organik. Mereka memecahkan bahan organik menjadi lebih kecil
dan menggaulkan bahan organik dengan tanah. Walaupun begitu, bandingan bilangan makrofauna dengan mikrofauna dalam tanah adalah kecil.
Kumpul satu sampel tanah dibawah litupan daun luruh (O Horizon) dan tanah atas (A Horizon – tidak melebihi
kedalaman 3cm) daripada dua lokasi berbeza. Pilih dari laman, kawasan tumbuhan asli, aman,di bawah spesis pokok yang berbeza atau kawasan-kawasan lain. Masukkan sampel-sampel ke dalam bag
plastik, dimeterikan dan dilabelkan dengan nama anda dan lokasi kutipan. Pada setiap lokasi, rekodkan jenis tanaman pada lokasi (contoh, hutan, paya, laman dan lain-lain) dan ciri- ciri dalam
jadual di bawah, kemudian gunakan untuk membandingkan habitat tanah dari dua lokasi. Jika anda tidak mempunyai peralatan yang cukup (contoh: pH kit atau penetrometer), buang ciri tersebut.
Tekstur Tanah (pasir, liat dll)
Kembali ke makmal, campurkan sampel tanah dengan tanah litupan daun dari lokasi yang sama. Masukkan satu
sampel yang diketahui ke dalam corong Tulgren. Biarkan selama 2 hari, kemudian tuangkan kedalam piring petri yang mengandungi alkohol. Masukkan sampel dari lokasi kedua ke dalam corong Tulgren
dan tuangkan selepas 2 hari, mengikut prosedur yang sama. Jika anda tahuisipadu tanah yang dikaji, anda akan boleh membandingkan kehadiran makrofauna antara dua lokasi.
Jenis-jenis corong Tulgren untuk mengekstrak fauna tanah
Daripada beg-beg sampel , periksa sampel tanah dari O Horizon dan A Horizon
dengan menggunakan microskope atau kanta tangan. Masukkan sebarang fauna
yang dijumpai ke dalam piring petri untuk dikenalpasti. Kenalpasti semua organisma
dan kelaskan kedalam kumpulan yang berlainan (contoh: Kumpulan A tiada kaki –
cacing; kumpulan B 8 kaki – laba-laba, hama dan lain-lain). Kira jumlah individu dalam
setiap kumpulan. Jika terlalu banyak, anggarkan jumlah yang sepatutnya.
a. Makrofauna Terbesar
Order atau Kumpulan Makrofauna
Bilangan @ lokasi 1
isipadu tanah = ____
Bilangan @ lokasi 2
isipadu tanah = ____
Kosongkan kandungan dalam jar pengumpul ke dalam piring petri, dan kenal pasti
dalam kumpulan. Kira jumlah individu dari setiap kumpulan.
b. Makrofauna terkecil
Order atau Kumpulan Makrofauna
Bilangan @ lokasi 1
isipadu tanah = ____
Bilangan @ lokasi 2
isipadu tanah = ____
Guna keputusan dari Jadual 2 dan 3 dan kira bilangan order atau kumpulan seliter
tanah dan litupan daun, dan bilangan individu dari setiap order atau kumpulan seliter
tanah dan litupan daun.
bilangan Order atau kumpulan seliter tanah/litupan
contoh: bil individu kum. B seliter tanah/litupan
bil. individu seliter tanah/litupan
bil. individu seliter tanah/litupan
Laporan Anda– Menerangkan peranan biota tanah
Laporan anda mestilah mengandungi tajuk, pendahuluan yang menerangkan tentang amali tersebut, dan satu
penerangan tentang perbincangan (lebih kurang 600 patah perkataan) berdasarkan soalan-soalan berikut. Anda juga mesti memasukkan satu jadual ringkasan bagi menunjukkan keputusan anda. Laporan ini
ditulis secara soalan dan jawapan tetapi rujukannya hendaklah tepat dan betul.
1. Bagaimanakah kepelbagaian makrofauna tanah dari dua lokasi berbeza?
Bolehkah anda cadangkan kenapa terjadinya perbezaan antara mereka.
Apakah parameter yang anda ukur yang boleh membantu anda untuk
menerangkan perbezaan- perbezaan tersebut?
2. Terangkan peranan makrofauna dalam tanah tersebut.
3. Pada rajah jaringan makanan yang disediakan, labelkan jenis-jenis biota
(contohnya,fungi, nematod dan lain-lain), apa yang mereka lakukan
(pemangsa, pemakan daun dll) dan huraikan bagaimana arah aliran tenaga
berlaku. Contoh, dimanakah bermulanya pembentukan tanaga dan dimanakah ianya
berakhir (puncak rantai makanan).
Apakah akan terjadi kepada tenaga dan nutrien apabila organisma pada
Interactions between plants and soil biota resist invasion by some nonnative plants and facilitate others. In this review, we organize research and ideas about the role of soil biota
as drivers of invasion by nonnative plants and how soil biota may fit into hypotheses proposed for invasive success. For example, some invasive species benefit from being introduced
into regions of the world where they encounter fewer soil-borne enemies than in their native ranges. Other invasives encounter novel but strong soil mutualists which enhance their
invasive success. Leaving below-ground natural enemies behind or encountering strong mutualists can enhance invasions, but indigenous enemies in soils or the absence of key soil
mutualists can help native communities resist invasions. Furthermore, inhibitory and beneficial effects of soil biota on plants can accelerate or decelerate over time depending on the
net effect of accumulating pathogenic and mutualistic soil organisms. These ‘feedback’ relationships may alter plant–soil biota interactions in ways that may facilitate invasion and
inhibit re-establishment by native species. Although soil biota affect nonnative plant invasions in many different ways, research on the topic is broadening our understanding of why
invasive plants can be so astoundingly successful and expanding our perspectives on the drivers of natural community organization.
Most naturalized nonnative species appear to behave ecologically more or less like resident species, and occur at low to mid frequencies (Huston, 1994; Williamson
& Fitter, 1996; Davis et al., 2000; Brown & Peet, 2003). However, a small proportion of introduced
nonnative species become locally dominant (Levine et al., 2003, and citations therein) and change
relatively diverse communities into near monocultures. These species are generally referred to as ‘invasive’ (Colautti & MacIsaac, 2004). This transformation of communities
indicates that very powerful, but poorly understood, ecological phenomena are at work. Interest in the causes and effects of invasions has prompted the development of a number of
nonmutually exclusive hypotheses to explain invasions including: enemy release, the evolution of novel traits, disturbance, novel biochemical weapons, and empty niches in invaded
communities (Mack et al., 2000; Hierro et al., 2005). Rapidly accumulating research has
connected soil organisms to these hypotheses and indicates that they may have powerful effects on invasions. Here, we have organized research and ideas about the role of soil biota as
drivers of invasion by nonnative plants and how the effects of soil biota on invasives may expand the general hypotheses that have been proposed for invasive success. In this context, we
have organized this review into three sections: II, Soil community effects; III, Soil-borne antagonists; and IV, Soil-borne mutualists. Section II, Soil community effects, treats soil
communities as a ‘black box’ while sections III, Soil-borne antagonists (i.e. nematodes and pathogens), and IV, Soil-borne mutualists (i.e. mycorrhizas and nitrogen fixers), attempt to
dissect some components of the ‘black box’ and partition biological interactions into two distinct functional groups. Our groupings of organisms by their biotic interactions are broad
generalizations used for organizational clarity (e.g. most mycorrhizas are classified as mutualists). However, it is important to clearly acknowledge that the effects of some individual
species are counter to our classification (e.g. mycorrhizas can act as parasites instead of mutualists).
Plant–soil biota feedback experiments utilize a multistep process. In the first stage host-specific, or at least host-favoring, microbial communities are generated by growing a plant
species in a common and nonsterile soil for several months or longer allowing the plant to interact with and alter the soil community. Next, the original plant is removed and a second
plant is grown in the soil that was ‘trained’ or ‘preconditioned’ by the first plant (or soil aliquots). The purpose of the second step is to compare the effects of host-specific soil
biota to nonhost-specific biota. If the second plant grows larger in conspecific-conditioned soil (soil preconditioned by same species) than in heterospecific-conditioned soil
(preconditioned by other species), the feedback is positive. If the second plant grows larger in heterospecific-conditioned soil than in conspecific-conditioned soil, the feedback is
negative. However, feedbacks can be caused by factors other than soil biota. Plants can reduce nutrients or release allelopathic chemicals that cause negative feedbacks. Therefore,
some studies have conducted parallel feedback experiments in nonsterile and sterilized soil to help distinguish the role of biota vs. nutrient availability or designed experiments to
control for differences in nutrient availability. Another approach is to use soil solutions that have been filtered to contain specific portions of the microbial community (Klironomos, 2002).
Unlike the negative feedbacks generally described for native plants, invasives often demonstrate positive feedbacks with soil biota in their new ranges. For example, when grown in
native European soils in the absence of competitors, the soil biota that developed in association with Centaurea maculosa had increasingly negative effects on the plant's
growth (Callaway et al., 2004a). But in soils from North America (nonnative range), the soil biota that developed in association with C. maculosa had
increasingly positive effects on itself, perhaps contributing to the development of near monocultures for which the species is famous in the northern Rocky Mountains. Furthermore,
these plant–soil biota interactions translated into competitive effects, at least in pot experiments, which have not been reported before for invasive species (Figs 1 and 2). Competing with
a French species (Festuca ovina) in European soils, C. maculosa grew much better in soils that had been previously conditioned by F. ovina than soils that
had been conditioned by conspecifics (Fig. 1), indicating negative plant–soil biota feedbacks. By contrast, C. maculosa competing with an American species (Festuca
idahoensis) in American soils tended to grow better in soils that had been conditioned by conspecifics than soils conditioned by F. idahoensis, indicating positive
plant–soil biota feedbacks. Sterilization of the soil eliminated the feedback relationships in both cases. In summary, feedback effects on C. maculosa in competition were
very similar to feedback effects of C. maculosa growing alone. Interestingly, these feedback-competition patterns were observed in the effects of C. maculosa on
F. idahoensis (Fig. 2). In both North American and European soils, both Festuca species grown alone performed better in soils conditioned by C. maculosa than in soils
conditioned by Festuca, indicating negative plant–soil biota feedback effects. However, in competition plant–soil biota feedback effects changed. When grown with a C.
maculosa competitor, F. ovina performed better in European soils conditioned by C. maculosa than soils conditioned by conspecifics, probably because of negative
feedback effects on C. maculosa. By contrast, F. idahoensis performed much better in soils conditioned by conspecifics than in soils conditioned by C.
maculosa, perhaps because of the strong positive plant–soil biota feedbacks experienced by C. maculosa in American soil (but see Bais et al.,
2003 regarding the potential confounding effects of allelopathic root exudates).
Figure 1. Total biomass of Centaurea maculosa plants grown in competition in European soil (Central Massif population) and North American
soil (Missoula population) that had been preconditioned by either C. maculosa or a Festuca species native to the place of soil origin. Plants were grown in soils
either sterilized or not sterilized after preconditioning. In a three-way anova (origin, species used for preconditioning and sterilization as main
effects): Forigin = 44.9, df = 1,172, P < 0.001; Fculture × species = 0.77,
df = 2,172, P = 0.288; Forigin × culture × species = 6.88, df = 2,172,
P = 0.011; Forigin × sterilization = 10.05, df = 2,172, P < 0.001;
Fculture × species × sterilization = 4.11, df = 2,179, P = 0.020. P-values shown above
paired bars indicate a significant difference in preconditioning effects for those treatments. Reprinted from Callaway et al. (2004a).
Figure 2. Total biomass of Festuca species grown alone and in competition with Centaurea maculosa in soils from native and
invaded regions that had been ‘preconditioned’ by either the Festuca species or C. maculosa. Error bars show 1 SE. The overall effect of C. maculosa on
Festuca was competitive (FCentaurea = 11.33, df = 1,170, P < 0.001), but C. maculosa had
stronger competitive effects on F. idahoensis in North American soil (FCentaurea × region= 8.83, df = 2,170,
P < 0.001) but Festuca species and soil region are confounded. More importantly, while sterilization of European soil slightly enhanced Festuca
ovina biomass (P = 0.037), there was no significant preconditioning effect on F. ovina. Sterilization of North American soil strongly enhanced the
biomass of Festuca idahoensis (P < 0.001), and preconditioning nonsterile North American soil with C. maculosa gave F. idahoensis
a strong competitive disadvantage against C. maculosa competitors (in nonsterilized soil, Fpre-culturing effect = 3.77, df = 1,82,
P = 0.036).
Agrawal et al. (2005) tested the effect of soil microbial feedbacks of 10 congeneric pairs of native and nonnative herbaceous plant species in Ontario,
Canada. Soil microbial feedbacks were twice as negative for native than nonnative species. These results differ from two other studies comparing the pathogens and pathogenic activity
associated with congeneric pairs of native and nonnative species (Blaney & Kotanen, 2001; I. M. Parker & G. S. Gilbert,
unpublished; see section III.2. Pathogens).
Klironomos (2002) found that the relative abundance of 61 grassland species was highly correlated with the strength and direction of soil feedbacks (rare species
experienced strong negative feedbacks and common species experienced positive feedbacks), suggesting that community composition was strongly affected by plant–soil biota feedbacks.
Although the effects of soil chemistry were not controlled in this large experiment, Klironomos later determined that the feedback effect of a subset of 10 species was driven by the
varying effects of pathogenic/saprophytic fungi. Furthermore, this subset was divided into five rare native species and five dominant nonnative species. He found that four of five
nonnative species experienced significant positive feedbacks while five of five rare native species experienced negative feedbacks. The negative feedbacks experienced by rare natives
were driven by host-specific soil-borne pathogens, whereas the invasive nonnative species were not affected by soil-borne pathogens. In contrast to these results for five rare native
and five highly abundant nonnative species, the relationship between soil feedback and species abundance for native (26 species) vs nonnative species (35 species) spanning a range of
abundances was virtually identical (K. O. Reinhart & J. N. Klironomos, unpublished). In other words, abundant native and nonnative species experienced more neutral to positive
feedbacks, whereas less abundant native and nonnative species experienced more negative feedbacks. However, this comparison did not separate invasives from the total pool of nonnative
2. Net effect of soil biota
Of the five experiments conducted on five species (Table 1) four show more negative effects of soil biota in the native ranges than in the nonnative ranges. Although the number of current studies
is meager, they suggest that invasive success may be influenced by escape from the inhibitory effects of below-ground organisms.
Table 1. Summary of biogeographical comparisons of plant–soil biota interactions associated with invasive nonnative
plant species in their native and nonnative ranges
Ammophila arenaria, a dune grass from Europe, has invaded coastal dunes in the western USA, South Africa, New Zealand, and Tasmania. Knowledge about Ammophila in its
native and nonnative ranges is probably more detailed than for any other species; however, the results vary. Soil nematodes and pathogens inhibit the growth of Ammophila in
its native European range (van der Putten et al., 1988, 1990, 1993; De Rooij-van der Goes, 1995). Beckstead & Parker
(2003) compared the effects of soil biota on A. arenaria in its introduced range (California) with those in its native range (The Netherlands). While not directly
comparing European and North American soils in the same experiment, they found that North American soils also dramatically inhibited the growth of Ammophila. Seed germination
was reduced by 12–16%, seedling survival was reduced by 7–13%, and root and shoot biomass decreased up to 80% in the nonsterilized soil treatments relative to the sterilized
treatments. These strong inhibitory effects from soil biota in the invaded region were as strong as, or stronger than, those found in the native region (Fig. 3). Ideally, comparative
experiments would be performed in the same place and at the same time, but these results suggest that invasive Ammophila does not seem to have escaped the inhibitory effects
of soil biota. In a separate experiment, Knevel et al. (2004) compared the effects of the
soil biota from native (the Netherlands) vs nonnative ranges (South Africa) to one another and to a control (sterilization treatment). They report that in three of five sites in the
native range, Ammophila produced less than half of the amount of biomass produced in sterilized soils. By contrast, a similar growth reduction was observed in only one of
seven sites in the portion of the experiment using soil from the nonnative range, contrasting with Beckstead & Parker (2003), suggesting that Ammophila
has escaped the suppressive effects of the soil biota in its homeland. However, five of seven sites in the nonnative range showed a lower growth response relative to the sterilization
control indicating that Ammophila experienced negative effects of soil biota even in its nonnative range.
Figure 3. Comparison of the percentage of reduction of total biomass for plants grown in soil from the European native range in the Netherlands and
introduced range in California for two growth periods (van der Putten & Peters, 1997). Soil in California was either
nonsterilized stored (NSS) or nonsterilized fresh (NSF); soil from The Netherlands was nonsterilized. Bars show bootstrapped means ± 1 SD;
iterations = 1000. Redrawn from Beckstead & Parker (2003) with permission from the
authors and from The Ecological Society of America.
Plant–soil biota interactions have been found to differ in the native and nonnative ranges of three tree species. One of these tree species, Prunus serotina, is negatively
affected by soil pathogens (Pythium spp.) in its native range (Packer & Clay, 2000; Reinhart et al.,
2005). Interestingly, P. serotina is an invasive in woodlands of north-western Europe (Starfinger et al., 2003, and citations therein)
where it reaches much higher local densities than in North America (Reinhart et al., 2003; K. O. Reinhart,
unpublished). Reinhart et al. (2003) found that soil sterilization increased the survival and growth of P. serotina seedlings in soil in its native range;
however, sterilization had no effect on seedling survival and a negative effect on seedling growth in the nonnative range. The contrasting results for seedling survival in the native
and nonnative ranges suggest that P. serotina experience greater soil-borne disease in their native than nonnative ranges (suggestive support of enemy release hypothesis,
while the biomass data suggest that P. serotina may have escaped its below-ground enemies and/or acquired better below-ground mutualists in its nonnative ranges than its
native ranges (suggestive support of enhanced mutualisms hypothesis, Fig. 4c). In another study, sterilization of soil from native
ranges had a positive effect on the growth of Acer platanoides and Acer negundo. However, soil effects in invaded nonnative ranges were more complex. In the
nonnative ranges, sterilization of soil collected near resident native species had a negative effect on the biomass of A. platanoides in one part of its nonnative range, and
had a negative effect on the change in relative height of A. negundo and A. platanoides in their nonnative ranges (Reinhart & Callaway,
2004). These negative effects of soil sterilization in the nonnative vs native ranges of two Acer species and P. serotina provide support for both the enemy
release and enhanced mutualisms hypotheses (Fig. 4).
Figure 4. Invasive plants often experience more negative net soil biota effects in their native ranges than in their nonnative ranges (a), refer to
This variation in interaction strength and/or direction can be explained by the varying impact of either antagonists (b) or mutualists (c). The enemy release hypothesis (b)
predicts more negative impacts of antagonists (pathogens) in native than nonnative ranges and similar impacts of mutualists (mycorrhizas) between ranges. By contrast, the enhanced
mutualisms hypothesis (c) predicts more positive effects of mutualists in nonnative than native ranges and similar impacts of antagonists between ranges. The y-axes
represent hypothetical relative response indexes. Positive numbers indicate either a positive net soil biota (a) or a positive effect of mycorrhizas (i) or pathogens (ii), and
negative numbers indicate negative interactions. The specific values depicted in (a) are hypothetical but consistent with biogeographical trends in Table 1. To highlight the differences
between these two competing hypotheses, we have drawn (b) and (c) as if the effects of mycorrhizas and pathogens are additive and mutually exclusive; however, some combination of
these hypotheses is most likely to exist and determine outcomes of invasions. Other groups of mutualists and antagonists can be substituted. The data in these are hypothetical but
could be derived from glasshouse/field experiments including plantings in experimental soil treatments, pathogenicity trials, biocide experiments, etc. (e.g. net soil biota
effect = (nonsterile soil − sterilized soil) × nonsterile soil−1).
Similar to the previous studies, soil microbes from the European home range of C. maculosa have stronger inhibitory effects on its growth than soil microbes from soils in
North America (also see section II.1 Plant–soil biota feedbacks). Callaway et al. (2004a) found that sterilization of
soils collected from four populations of C. maculosa in its native range (Europe) caused an average 166% increase in the total biomass. By contrast, sterilization of soils
collected from six populations of C. maculosa in its nonnative range (north-western USA) only increased its growth by an average of 24% (Fig. 5). These studies have been
repeated under different conditions and with different sources of soil, and like those for Ammophila recent results have not been consistent. For example, experiments with
Romanian soil biota have not shown evidence suggestive of enemy release (R. M. Callaway, unpublished). We do not know why the results of sterilization experiments have varied so much
but there are many possible causes. First, the variation between the studies may represent natural ecological variation in plant–soil biota interactions over space and time (Blaney
& Kotanen, 2001; O’Hanlon-Manners & Kotanen, 2004). Thus, species with large ranges are likely to have varying plant–soil biota interactions throughout their
range. This suggests that past sampling has not been conducted at large enough biogeographical scales. Replication of populations is important and should be representative of the
entire range or targeted if justified by ecologically significant information (i.e. knowledge of the location of the founding population). Second, sterilization can cause nutrient
flushes (Troelstra et al., 2001); however, in the C. maculosa experiments pots were well fertilized. Third, sterilization only sets initial conditions,
and soils certainly do not remain sterile for the course of the experiment. In fact, total microbial biomass can be higher after a several-month experiment in initially sterilized
soils than in nonsterilized soils (W. H. Holben and R. M. Callaway, unpublished). It is difficult to know if re-colonizing bacteria (or other microbes) are beneficial, neutral, or
inhibitory and if microbial immigrants have different effects in non-sterile vs sterilized soils, or if different sterilization events or sterilization of different soils can drive
recolonization in different directions. Clearly, sterilization experiments have the potential to yield insight, but this insight needs to be corroborated by other types of
measurements and experiments.
Figure 5. Total biomass of Centaurea maculosa plants grown in nonsterilized and sterilized soil collected from European and North American
populations. Soils were collected from the rhizospheres of grasses near C. maculosa individuals. In a four-way analysis of variance (anova)
(region of origin, rhizosphere and sterilization as main effects, and population nested within region of origin): Forigin = 40.18,
df = 1,297, P < 0.001; Fpop = 21.81, df = 5,297, P < 0.001;
Frhizosphere = 21.12, df = 1,297, P < 0.001; Fsterilization = 110.87,
df = 1,297, P < 0.001; Forigin × sterilization = 29.35, df = 1,297,
P < 0.001; Forigin × pop × rhizosphere = 16.2, df = 2,314, P < 0.001.
Redrawn from Callaway et al. (2004a).
Other types of measurements and experiments include the identification of microbial taxa in sterilization experiments, addition of selective biocides (but see Hood
et al., 2004), experimental addition of particular microbial taxa to sterilized soils or plant–soil biota feedback experiments. However, soil taxa can be very
difficult to identify, and choosing which taxa (or amount) to add or the particular conditions in which to test the effects of particular taxa is likely to be arbitrary since the
choice may not be directly related to the highly diverse and variable interactions and conditions found in natural systems. Plant–microbe interactions also vary substantially in
different abiotic environments. Biotic complexity may also muddy the results of experiments with soil microbes. Plant–soil biota feedback experiments are an ideal method of describing
plant–soil biota interactions (see section II.1 Plant–soil biota feedbacks and Bever, 1994, 2002, 2003). However, it may prove
difficult to expand these experimental designs beyond a single community and to include two or more plant communities, and to sufficiently describe interactions among multiple
populations (i.e. adequate spatial sampling) interacting with a focal species in its native and nonnative ranges.
Soil biota can suppress the growth, fecundity, and survival of plants in natural communities (Augspurger & Kelly, 1984; van der Putten
et al., 1993; Mills & Bever, 1998; Klironomos, 2002; Hood et al.,
2004; Reinhart et al., 2005; Thorpe & Callaway, 2006), and it is logical to assume that escape
from harmful soil biota would allow many species to increase in abundance. The enemy release hypothesis predicts that invasive nonnative species escape frequency dependent control by
host-specific natural enemies (e.g. herbivores and pathogens, Fig. 4b), resulting in a rapid increase in their abundance and
distribution (Keane & Crawley, 2002). As much as native herbivores can inhibit nonnative invasives, the presence of strong indigenous below-ground antagonists may resist invasion
by nonnative species. For example, attempts to grow several species of agricultural (e.g. apple, pear, cherry) and forestry significance (Douglas fir and pines) in new regions of the
world have been hindered by the direct negative effect of indigenous pathogens (Scheffer, 2003). Unfortunately, little is known about the causes of
Biocontrol practitioners have long recognized that pathogens from an invasive plant's homeland, including pathogens in the soil, might suppress the invasives in their new habitats
(Caesar, 2000; Charudattan & Dinoor, 2000). To our knowledge, the most thorough case study of biocontrol by a pathogen is that of the foliar rust, Puccinia
chondrillina on Chondrilla juncea, a perennial weed of cereal crops native in Europe and introduced to Australia and North America (Burdon et al.,
1981; Panetta & Dodd, 1995). Bioherbicides have also been developed that utilize soil-borne pathogens (e.g. Phytophthora palmivora) (Charudattan & Dinoor,
As noted above, soil nematodes (and pathogens) inhibit the growth of A. arenaria in its native European range (van der Putten
et al., 1988, 1990, 1993; De Rooij-van der Goes, 1995). Van der Putten
et al. (2005) compared the total number of taxa of root feeding nematodes and of specialist root feeding nematodes associated with A. arenaria in its native
(Europe) and nonnative ranges (Pacific coast of USA, South Africa, New Zealand, and Tasmania). The average number of plant-feeding nematodes did not differ between the native and many
of the nonnative ranges (i.e. USA, South Africa and Tasmania), and New Zealand was the only region where A. arenaria encountered fewer nematode species relative to in its
native range. However, there were fewer taxa of root feeding specialist nematodes in three of the four surveyed nonnative ranges (South Africa, New Zealand and Tasmania) relative to
observations in the native range. This decrease in specialist nematodes is similar to patterns recorded for above-ground herbivores of other invasive species (Jobin
et al., 1996; Wolfe, 2002; Wolfe et al., 2004), but comparisons of the impact
of nematodes in native and nonnative ranges are necessary to provide a complete picture of enemy release.
The enemy release hypothesis has been tested at the community-level by testing the prediction that native species will support more enemies than phylogenetically similar nonnative
species. Blaney & Kotanen (2001) tested the effects of soil fungal pathogens on buried seeds of 15 congeneric pairs of native and nonnative herbaceous plant species in
Ontario, Canada. Soil pathogens did not have a greater affect on native than nonnative species. Similarly, in a comparison of 18 native and nonnative clovers, no difference was found
in pathogen diversity, infection, leaf damage, or fitness effects of foliar and damping-off fungi between native and nonnative species (I. M. Parker & G. S. Gilbert, unpublished).
These studies do not support the enemy release hypothesis (but see Agrawal et al., 2005). However, these studies have
not separated invasives from the total pool of nonnative species and have not explored invasives that are phylogenetically distinct from natives. The probability of host shifts by
pathogens from natives to nonnatives is expected to be greater if the nonnative plant species are phylogenetically similar to native species (Mack, 1996; Parker
& Gilbert, 2004; but see Duncan & Williams, 2002), and comparisons of invasives to unrelated dominant native species may yield different results.
Evidence for enemy release requires comparative experiments using soil biota from the native region and the invaded region to determine whether the plant experiences less pathogenic
activity in the nonnative than native ranges. Ideally, these effects must characterize interactions occurring in the field, incorporate variation within native and nonnative regions,
and include appropriate replication in both the native and nonnative ranges. Plant pathologists have described the importance of the abiotic environment in driving the expression of
disease symptoms and consider environment as one of the three components in the ‘disease triangle’ (i.e. pathogen, host, and environment) (Park, 1963; Agrios,
1997). Because of variability in environments and ecotypes, experiments across a range of environments and with multiple populations should be compared so that variation among
populations within a region (native vs invaded) can be compared with variation among regions. Biogeographic comparisons of other traits of invasives illustrate the importance of using
multiple populations (Maron et al., 2004). However, experiments with soil biota have practical limitations. For example, the importation of foreign
microbes, especially pathogens, is constrained by ethical considerations, trade regulations, and quarantine policies because of the largely unknown environmental threat that nonnative
microbes pose. To our knowledge, no study of plant invasions and soil biota have met the criteria that we outline above, except possibly the body of research on A. arenaria
(Beckstead & Parker, 2003; Knevel et al., 2004; van der Putten
et al., 2005). However, these criteria are very difficult to meet for even above-ground enemies (but see DeWalt et al.,
Mutualistic effects of soil biota clearly facilitate some invasions, and some invasives alter soil-borne mutualists in ways that alter recipient plant communities (Richardson
et al., 2000). Two of the strongest soil mutualisms involve mycorrhizal fungi and nitrogen-fixers, both of which improve the nutrient status of their host-plants.
Therefore, interactions between these mutualists and invasives have the potential to alter soil chemistry, which in turn can affect native plant communities (Miki & Kondoh, 2002;
Hawkes et al., 2005). Recent progress with molecular techniques linking microbial identity and diversity to function should dramatically improve our understanding
of invasive-driven changes in microbial communities and affects on nutrient cycling (Schadt et al., 2005; Torsvik & Øvreås, 2004).
Related to microbial effects, the effects of nonnative plant species on soil chemistry and ecosystem function have been described in detail by Ehrenfeld (2004) and Wolfe and
One of the most ubiquitous mutualisms on earth is that between mycorrhizal fungi and plants. As mentioned earlier, the affect of individual mycorrhizal species can range from
parasitic to mutualistic. Thus, the potential exists for new combinations of nonnative species and resident mycorrhizas to yield either strong parasitic or strong mutualistic
interactions. Invasives might possibly encounter soil biota that facilitate establishment, but the potential for stronger facilitation by soil microbes in new habitats (nonnative)
than in old habitats (native) does not fit into any of the current hypotheses for invasion. Here we refer to this concept as the enhanced mutualisms hypothesis (see Fig. 4c). Relative to
the enemy release hypothesis (see III. Soil-borne antagonists), we know much less about how enhanced mutualisms affect invasions (Fig. 4b vs c). Furthermore, the evolutionary and ecological
processes by which invading species might encounter novel yet stronger mutualists than those in the invasive's home community are not yet clear. It is not surprising for a nonnative
plant to find a new mutualist partner that allows its existence in new regions of the world (Richardson et al., 2000); however, for a nonnative
species to find a new mutualistic partner that drives the transformation of a species from low to super abundance does not have a clear theoretical underpinning. For haphazard
encounters with mutualists from the nonnative range to drive far more beneficial relationships than mutualisms in the invasive's native range, mutualisms must be general, weakly
specialized, or tend to evolve away from intense interaction strengths. Alternatively, it is important to consider that interactions between plants and mycorrhizas are not always
simple two-way mutualisms where both partners benefit. For example, nonnative plants may exploit mycorrhizal associations because individual mycorrhizas form symbioses with multiple
plants at one time forming a mycelial network. The nonnative species may be able to exploit the benefits of the symbiosis while escaping the mutual cost of maintaining the network.
This sort of parasitism may be unstable but may help the invasive species establish and displace native species as the system reaches a new stable equilibrium (Schlaepfer et al., 2005). So far, we know little about mutualisms and invasives and to our knowledge there is no evidence for nonnative plants establishing
new mutualisms that specifically lead to dominance and competitive exclusion of native species. However, there is a great deal of evidence that mutualistic interactions among soil
biota and plants contribute to plant invasions.
Ectomycorrhizal fungal species tend to be more host-specific than arbuscular mycorrhizal fungi (Borowicz & Juliano, 1991), and the absence of ectomycorrhizas
initially limited the introduction of many Pinus species to new regions of the world (Brisco, 1959; Poynton, 1979). However,
this barrier has been overcome and appropriate ectomycorrhizas for Pinus species have been transported around the world and are now common throughout the southern and
northern hemispheres (Richardson et al., 1994). There is also evidence that the invasive success of some plant species has been enhanced by the presence of
native ericoid mycorrhizas (Wardle, 1991; Lazarides et al., 1997). Unlike ectomycorrhizas and
ericoid mycorrhizas, arbuscular mycorrhizal (AM) fungi have been thought to neither limit nor facilitate invasion because of their cosmopolitan distribution and general lack of
host-specificity (Richardson et al., 2000). Therefore, the presence of appropriate AM fungal mutualists may only allow invasion.
Mycorrhizal plants associate with large numbers of species of AM fungi (Borowicz & Juliano, 1991; Molina et al.,
1992; Eom et al., 2000; Streitwolf-Engel et al., 2001). Therefore, we might
not expect powerful new alliances among invasives and AM fungi that cause invasive dominance. Conversely, different partner pairings can result in highly variable ecological effects
(Johnson et al., 1997; van der Heijden et al., 1998; Klironomos, 2003), creating the potential for unusual relationships and pairings in plant invasions. In the only direct experimental test of potential biogeographic effects
of AM fungi, Klironomos (2002) found that the AM fungal fraction of a North American soil had only slightly more beneficial effects on rare native North American (four of five
species) than invasive nonnative species (two of five species). Furthermore, these positive effects were only realized when the negative effects of soil-borne pathogens were excluded.
Despite the general lack of host-specificity in AM fungi associations, specificity in the growth responses of infected plants exist. The extreme variability in the growth responses of
plants to different species of AM fungi can be a major determinant of local plant species diversity in natural systems (Johnson et al., 1997; Bever, 2002;
van der Heijden et al., 2003). Klironomos (2003) tested the effect of multiple AM fungi isolates
from native and nonnative sources on the mycorrhizal plant-growth responses for a number of grassland species. He found that plant growth associated with AM fungi that naturally
co-occurred with a species (native AM fungi treatment) ranged from highly parasitic to highly mutualistic, depending on the combination of plant and fungal species (Johnson
et al., 1997; Klironomos, 2003). Although the magnitude of responses was greater when using combinations of local plants and fungi, plant–mycorrhizal
interactions varied from parasitic to mutualistic regardless of whether the source of AM fungi was native or nonnative (Klironomos, 2003). However, the nonnative AM fungi used were
not necessarily associated with the tested invasive plants in their nonnative ranges. Incorporating AM fungi that are actually associated with species that either fail to establish in
nonnative ranges or become problematic invasives may reveal important trends that correspond with invasive success. For example, AM fungi which have highly parasitic associations with
nonnative species may repel invasives while highly mutualistic associations may facilitate invasion.
Arbuscular mycorrhizas are important mediators of competitive interactions between nonnative and native plants. Several studies have found that competitive effects of the invasive
C. maculosa on the native grass F. idahoensis are mediated by AM fungi (Marler et al., 1999; Zabinski
et al., 2002; Callaway et al., 2004b; Carey et al., 2004). When competing with C.
maculosa, F. idahoensis plants were 171% larger when grown in field soil that was sterilized and provided with a microbial wash than when grown in field soil that was
not sterilized (Marler et al., 1999). By contrast, C. maculosa grown with larger F. idahoensis were 66% larger in untreated field
soil than field soil drenched with a fungicide that reduced AM fungi colonization (Marler et al., 1999). Other studies have reported
similar interactions between this invasive and native grasses (Zabinski et al., 2002; Callaway
et al., 2004b; Carey et al., 2004), suggesting that mycorrhizal networks mediate this interaction either through carbon transfer from
Festuca to Centaurea via a shared mycorrhizal network (Carey et al., 2004) or increased phosphorus uptake
(Zabinski et al., 2002). Similar general effects of soil fungi have also been shown for the annual invasive, C. melitensis (Callaway
et al., 2001, 2003).
Invasive plants also affect AM fungal communities in ways that may create a plant–soil biota feedback facilitating invasion and altering native communities. In California grasslands,
native species are more dependent on AM fungi than nonnative species (Vogelsang et al., 2005). The average growth
response to a commercially available AM fungi species was c. 82% greater in seven native species than 10 nonnative species. This corresponded with a greater proportion of
nonnative species than native species in this system occurring in families described as nonmycorrhizal. In three different experiments, they found that invaded grasslands vs
neighboring areas without invasion were associated with 33%, c. 43%, and c. 83% reductions in per cent root colonization by AM fungi (Vogelsang et al.,
2005) and similar findings have been reported for areas invaded by garlic mustard (Alliaria petiolata) (Roberts & Anderson, 2001; Stinson
et al., 2006). In summary, it appears that invasion by nonmycorrhizal species can reduce the abundance of AM fungi, which negatively affects native plant species
with strong dependencies on AM fungi. These altered soil microbial communities then facilitate additional invasion by nonmycorrhizal nonnative species, thus maintaining nonnative
plant dominance and inhibiting the re-establishment of native species (‘the degraded mutualisms hypothesis’; Vogelsang et al., 2005). Others have reported that
nonnative species are often less dependent on arbuscular mycorrhizal fungi (Reeves et al., 1979; Allen & Allen,
1980; Pendleton & Smith, 1983; but see Marler et al., 1999; Richardson
et al., 2000; Callaway et al., 2004b). It is not clear whether the invasives inhibit mycorrhizas or preferentially invade areas inherently
depauperate of mycorrhizas.
2. Nitrogen fixers
Invasive plants commonly increase levels of soil nitrogen, perhaps because many successful invasives take advantage of mutualisms with native nitrogen-fixing bacteria
(Rhizobium spp. and Frankia spp.) (Allen & Allen, 1981; De Faria et al.,
1989; Clawson et al., 1997; Ehrenfeld, 2003). Alternatively, invasive nonnative species may
bring their symbionts with them, rather than enter into new associations with resident Rhizobium spp. (Weir et al., 2004; Chen et al.,
2005). Regardless, symbioses between invasives and nitrogen-fixers are common even in areas without native flora that form these associations (Richardson
et al., 2000; Weir et al., 2004). By contrast, the absence of Rhizobium inoculum or low inoculum densities can limit the invasive
success of nonnative species (Parker, 2001). Parker (2001) reported that a threshold density of
nitrogen-fixing bacteria is often necessary for nodule development on invading legumes. Indigenous legumes may provide necessary threshold densities (M. A. Parker, pers. comm.).
Similar inoculum limitations may exist for species forming symbioses with Frankia spp. (Simonet et al., 1999).
The absence of appropriate nitrogen-fixing bacteria may limit some invasions, but Myrica faya invasion in Hawaii appears to have been highly successful because of a symbiosis
with the nitrogen-fixing actinomycete Frankia (Vitousek et al., 1987; Burleigh & Dawson,
1994). We do not know if Myrica arrived with its own Frankia or if Frankia was already present in the system. Regardless, this mutualism has
dramatically altered nitrogen cycling in Hawaiian ecosystems and contributed to highly altered native plant communities (Vitousek
et al., 1987). Invasion by nonnative plants with nitrogen-fixing symbionts may also enhance secondary invasions by nitrophilous weedy species (Yelenik
et al., 2004).
Non-nitrogen fixing invasives may take advantage of the soil legacies left by native plants and their nitrogen-fixing mutualists. Maron & Connors
(1996) found that seedlings of the nonnative grass Bromus diandrus accumulated 48% more root biomass and 93% more shoot biomass when grown in soil collected under
experimentally killed native nitrogen-fixing shrubs (i.e. lupines), compared with B. diandrus seedlings grown in soil collected at least 1 m away from lupines. Invasive
nonnative plant species may also negatively affect the nodulation of resident plants and have direct negative effects on resident nitrogen-fixing microbes (and nitrifying bacteria)
(Rice, 1964). Thus, interactions between plants and nitrogen-fixing symbionts may affect the establishment of nonnative species and their impact on resident native species.
Other microbes in the nitrogen cycle can be affected by invasives (Rice, 1964; Hawkes et al.,
2005). For example, Hawkes et al. (2005) determined that invasive nonnative grasses doubled gross nitrification rates, in part by increasing the abundance
and altering the composition of ammonia-oxidizing bacteria in the soil. These plant-driven changes in soil microbial communities are likely to disrupt ecosystem function and leave an
invisible legacy of invasion.
There are many direct and indirect mechanisms by which plant–soil biota interactions can affect the invasion of nonnative plant species. Although some ideas presented in this paper have
more empirical and theoretical support than others, even the best understood processes are supported by no more than a handful of studies. Additional research with other species in other
systems, and preferably with an explicit biogeographical context (Hierro et al., 2005); will be crucial for developing
reliable generalizations about the role of soil biota in promoting or repelling invasives. Focusing on specific soil-borne taxa and their direct effects may be necessary to test
rigorously the enemy release hypothesis and enhanced mutualisms hypothesis (Fig. 4). However, elucidating the effects of single species of
soil biota outside of the context of the entire soil community may not accurately describe interactions occurring in nature. For example, the powerful effects of a particular nitrifying
bacterial species may be irrelevant in the absence of nematodes (Horiuchi et al., 2005). However, a distinct advantage
to studying soil communities is that the net effect of the entire community can be described relatively easily via plant–soil biota feedback or net soil biota effect experiments. The
development of hypotheses that focus on the synergistic effects of the entire below-ground community may be particularly useful in determining the effects of soil biota on plants in their
native and nonnative ranges. Importantly, attention to the effects of native soil biota on nonnative plants that do not successfully invade (Simberloff & Gibbons,
2004; Clay et al., 2006) will be crucial if we are to assess the relative importance of soil biota in invasions.
We thank three anonymous reviewers for their helpful comments. This paper was prepared with financial assistance provided in part by funding from the USDA to K.O.R. (NRI, 2003-02047) and
funding from the Aldo Leopold Wilderness Center, the USDA, DoD SERDP, the National Science Foundation and the Civilian Research and Development Foundation to R.M.C.
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