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Aliens Newsletter - ISSG

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“Beaufort Scale” for bioinvasion impacts<br />

Sergej Olenin & Aleksas Narsˇčius<br />

Why a standardized bioinvasion impact assessment<br />

system?<br />

More than two hundred years ago Sir Francis Beaufort,<br />

a British admiral and hydrographer, introduced<br />

a scale of sea state to oblige his naval officers reporting<br />

weather observations in a standardized way.<br />

It seems that bioinvasion science and management<br />

needs something similar in order to reduce subjectivism<br />

in assessment and reporting the impacts<br />

caused by Invasive Alien Species (IAS). So far such<br />

assessments have been based on expert judgment.<br />

Even in the listings of worst invaders their impacts<br />

often are being reported without indication on how<br />

severe the impact is.<br />

On another side, a standardized description and<br />

evaluation of impacts is needed for many applications,<br />

e.g. for compilation of “black” lists of target<br />

IAS and comparative account of their harmful effects;<br />

prioritization of management options, which<br />

involve species that can be practically managed in<br />

some way; for compassion of the same IAS in different<br />

ecosystems; and even for overall environmental<br />

status assessments taking into account the<br />

bioinvasion effects in particular territories or water<br />

bodies.<br />

Theory: a biopollution level index<br />

The approach to estimate the magnitude of bioinvasion<br />

impacts or “Biopollution level” (BPL) index<br />

was developed by a team of researchers within two<br />

recent EU funded projects, ALARM and DAISIE<br />

(Olenin et al., 2007). Biological pollution is defined<br />

as the impact of alien species on ecological quality<br />

and includes (but is not confined to) the genetic<br />

alteration within populations, the deterioration or<br />

modification of habitats, the spreading of pathogens<br />

and parasites, competition with and replacement of<br />

native species, etc.<br />

The BPL method takes into account the abundance<br />

and distribution range (ADR) of alien species in relation<br />

to native biota and aggregates data on the<br />

magnitude of the impacts in three categories: 1) impacts<br />

on native communities, 2) habitats and, 3)<br />

ecosystem functioning. ADR varies within five<br />

classes, ranking an alien species from low abundance<br />

in a few localities (A) to occurrence in high<br />

numbers in all localities (E). After ADR is established,<br />

three categories of impacts are considered,<br />

whose magnitude is ranked on five levels ranging<br />

from no impact (0) to massive impact (4) based on<br />

qualitative changes in an invaded ecosystem. The<br />

theoretical justification uses several well established<br />

ecological concepts, e.g. “key species”, “type specific<br />

communities”, “habitat alteration, fragmentation<br />

and loss”, “functional groups”, “food web<br />

shift”, etc. BPL aggregates the results of the assessment<br />

into five categories: “No bioinvasion impact”,<br />

“Weak”, “Moderate”, “Strong” and “Massive”.<br />

The assessment should be performed in a defined<br />

assessment unit (a coastal lagoon, a lake, an island,<br />

etc) and for a defined assessment period. Primarily<br />

the method was designed for aquatic environment,<br />

but now it is being adapted for terrestrial<br />

species and ecosystems as well.<br />

Implementation<br />

The theoretical background was used to develop a<br />

system aimed at translation of existing data on miscellaneous<br />

invasive species impacts into uniform<br />

biopollution measurement units: BINPAS (Biological<br />

Invasion Impact / Biopollution Assessment System).<br />

The experimental version of BINPAS was<br />

published in early 2008. The application and database<br />

is hosted by the server of the Coastal Research<br />

and Planning Institute, Klaipeda University, Lithuania.<br />

Since then BINPAS is being developed using<br />

open source web technologies (Apache, PHP5) and<br />

MySQL relational database management system.<br />

The system is freely accessible by internet at<br />

http://corpi.ku.lt/databases/binpas/.<br />

Registration to BINPAS is open for all willing to<br />

contribute with their data. On login to BINPAS a<br />

registered user can create a new assessment unit ac-<br />

52 29/2010

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