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Literature review: Impact of Chilean needle grass ... - Weeds Australia

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S = α log e (1+N/α)<br />

where S = the number <strong>of</strong> species in the sample and N = the number <strong>of</strong> individuals.<br />

However the logarithmic model is applicable only to a limited set <strong>of</strong> communities with few species. A larger number <strong>of</strong><br />

communities are better represented by a log normal distribution, which is the generally expected statistical distribution (Krebs<br />

1985). Determining the total number <strong>of</strong> species present in a community takes a large amount <strong>of</strong> sampling effort. But if such a<br />

distribution is assumed, it is possible to predict the total number <strong>of</strong> species present without having to sample intensively to detect<br />

the rare species.<br />

The Shannon-Wiener index is based on information theory and incorporates the concept <strong>of</strong> evenness in the population size <strong>of</strong> the<br />

species. The more even the numbers <strong>of</strong> the species the higher the diversity. Other indices include Simpson’s index and<br />

Margalef’s index (Krebs 1985).<br />

The usefulness <strong>of</strong> various indices is debatable (Adair and Groves 1998). They <strong>of</strong>ten rely on assumptions that remain untested and<br />

provide few benefits in terms <strong>of</strong> enabling ready interpretation <strong>of</strong> comparitive data. In practice the basic information on the<br />

number <strong>of</strong> species in a sample and abundance <strong>of</strong> each summarises most <strong>of</strong> the diversity information (Krebs 1985). Indices<br />

assume fixed relationships between numbers <strong>of</strong> individuals and numbers <strong>of</strong> species, but the number <strong>of</strong> insect individuals is so<br />

temporally and spatially variable that the indices may only become meaningful after prohibitively extended sampling efforts<br />

(Farrow 1999). The same arguments apply to plant sampling, where the number <strong>of</strong> individuals may be prohibitively large when<br />

the species is <strong>of</strong> small size, or the determination <strong>of</strong> what constitutes a single individual may <strong>of</strong>ten be difficult. Farrow (1999)<br />

therefore argued that simply enumerating the species present by extending sampling over a longer period was a superior<br />

approach for <strong>grass</strong>land invertebrate biodiversity assessment because <strong>of</strong> the major effort involved in counting what may <strong>of</strong>ten be<br />

superabundant organisms, and that simple presence/absence assessments are appropriate in some circumstances.<br />

Diversity indices also tend to perpetuate the emphasis on species richness, which they all require for their computation, and<br />

divert attention from the structural and functional attributes <strong>of</strong> biodiversity that may be more important and valuable, and from<br />

the compositional attributes at other heirarchical levels – genetic, association, community, etc.<br />

Diversity studies also require that important and unimportant species be identified, that exotic species are distinguished from<br />

natives (Greenslade 1994), pest from beneficials, etc., i.e. the identification and appropriate weighting <strong>of</strong> desirable and<br />

undesirable elements (Driscoll 1994). Proper contextualisation also requires precise identification <strong>of</strong> all taxa.<br />

Assessments <strong>of</strong> overall biodiversity <strong>of</strong> a diverse ecosystem or community is always difficult, and beset with temporal and spatial<br />

scaling problems. Simple species richness assessments based on very few higher taxa (e.g. mammals or vascular plants) are <strong>of</strong><br />

little value because no high level taxon appears to adequately indicate biodiversity in any other high level taxon (Melbourne<br />

1993). Furthermore, the biodiveristy significance <strong>of</strong> a particular area can only be adequately assessed in the context <strong>of</strong> other<br />

similar areas and overall regional biodiversity (Melbourne 1993).<br />

<strong>Impact</strong>s <strong>of</strong> weeds on biodiversity<br />

General considerations<br />

An impact is “a disruption to a particular set <strong>of</strong> ecosystem services or functions” (Mathison 2004), or more simply, any change in<br />

the diversity or abundance <strong>of</strong> one organism that is caused by another. <strong>Impact</strong>s <strong>of</strong> invasive species may be predicted by introvert<br />

and extrovert measures (Williamson 2001). Introvert assessments are made from study <strong>of</strong> the invasive organism, its range,<br />

abundance and ecology, to predict likely effects. Gardener and Sindel (1998) predicted impact on Button Wrinklewort Rutidosis<br />

leptorrynchoides F. Muell. and Kirkpatrick et al. (1995) on Sunshine Diuris Diuris fragrantissima D.L. Jones and M.A.<br />

Clements using this approach (Ens 2002a). Extrovert measures involve direct quantification <strong>of</strong> impact on affected organisms,<br />

processes or communities.<br />

In the trivial sense, any invasive species initially increases the biodiversity <strong>of</strong> the area it invades. Many invasive plants “integrate<br />

smoothly” (Woods 1997) into the invaded ecosystem and are recognised as having minimal impact (Kirkpatrick et al. 1995,<br />

Woods 1997, Grice 2006). Most <strong>Australia</strong>n temperate <strong>grass</strong>lands have large inventories <strong>of</strong> alien vascular plant species and all<br />

areas have at least some exotics (Kirkpatrick et al. 1995). Invasion by multiple weed species, together or sucessively, is usual,<br />

particularly in southern <strong>Australia</strong> (Adair 1995). A relatively small number <strong>of</strong> native plant species have largely disappeared, but<br />

on the broad scale the overall vascular plant species diversity is much higher than before European occupation. ’Xenodiversity’<br />

is the richness <strong>of</strong> a community in exotic species and <strong>of</strong> new communities dominated by, or assembled from alien species (Cox<br />

2004). Xenodiversity <strong>of</strong> plants in general increases total species biodiversity, and on a world basis, the rate <strong>of</strong> new aliens<br />

entering communities much exceeds the rate <strong>of</strong> extinction <strong>of</strong> native species. A central problem is that similar sets <strong>of</strong> alien species<br />

are entering all the world’s biogeographical regions, so the world flora is being homogenised (Cox 2004). Invasions are “blurring<br />

the regional distinctiveness <strong>of</strong> Earth’s biota” (Vitousek et al. 1997 p. 6) and <strong>grass</strong>lands everywhere are being invaded by similar<br />

sets <strong>of</strong> species.<br />

The minimum impact <strong>of</strong> an exotic plant that integrates smoothly into a native community might possibly be very small:<br />

conceivably it might use resources that would not otherwise be used by the native plants and space that they would not occupy.<br />

In general however resource must be used and displacement is usual. Larger impacts involve displacement <strong>of</strong> more species over<br />

wider areas. Major impact may involve preemption <strong>of</strong> the niche <strong>of</strong> a community dominant. The highest levels <strong>of</strong> impact involve<br />

alteration to the community properties – the invader is a so-called ‘transformer species’ (Henderson 2001). Typically these<br />

dominate by forming a high proportion <strong>of</strong> the biomass in the community or stratum or have disproportionate influences on<br />

ecosystem function (Grice 2006). In order to measure the impact <strong>of</strong> an invasive species on biodiversity it is necessary to examine<br />

the effects on native biota and ecosystem functioning, determine any threshold below which impact is minimal and determine the<br />

management factors that influence the degree <strong>of</strong> impact (Adair and Groves 1998). The interactions between the invader and the<br />

invaded system are complex, and <strong>of</strong> many types, and are <strong>of</strong>ten indirect (Groves 2002).<br />

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