Biological pollution (bioinvasion impacts or biopollution) is a term that defines adverse effects of invasive alien species (IAS) on quality of aquatic and terrestrial environment.
Biopollution may cause adverse effects at several levels of biological organization:
- an individual organism (internal biological pollution by parasites or pathogens),
- a population (by genetic change, i.e. hybridization of IAS with a native species),
- a community or biocoenosis (by structural shifts, i.e. dominance of IAS, replacement or elimination of native species),
- a habitat (by modification of physical-chemical conditions),
- an ecosystem (by alteration of energy and organic material flow).
Biopollution may also cause decline in naturalness of nature conservation areas, adverse economic consequences and impacts on human health. The notion of "biological pollution" and "biological pollutants" described by Elliott (2003) is generally accepted in invasion biology; it was used to develop the concept of biopollution level assessment (Olenin et al., 2007) and criteria for a Good Ecological Status descriptor in the European Marine Strategy Framework Directive (Olenin et al., 2010)
The magnitude of the bioinvasion impact or biopollution level (Olenin et al., 2007) may be quantified using a free online service BINPAS.
"Biopollution Level (BPL)" is a quantitative measure of the magnitude of the biological invasion impact, ranging from "no impact" (BPL=0) through "weak" (BPL=1), "moderate" (BPL=2), "strong" (BPL=3) and "massive" (BPL=4) impact.
Initially the method of calculation involves assessing the abundance and distribution range of a non-indigenous species (NIS) for a specific area (this can be, for example, an entire regional sea, bay, inlet, lagoon, pond, lake, marina, a sand bank, an aquaculture site etc.). Abundance of a NIS may be ranked as "low", "moderate" or "high"; and the distribution may be scored as "one locality" (when a NIS was found only at one locality within the assessment area), "several localities", "many localities" or "all localities" (found at all localities). Combination of the abundance and distribution scores gives five classes of the abundance and distribution range. Once obtained this value aids in calculating an impact on 1) native communities, 2) habitats and, 3) ecosystem functioning. The calculation is based on ecological concepts, e.g. "key species", "type specific communities", "habitat alteration, fragmentation and loss", "functional groups", "food web shift", etc. Calculations are for a stated time period to enable assessment of temporal changes.
The method can be used for a single species or for several species for a specific (assessment) area. The method was designed for species in aquatic ecosystems (Olenin et al., 2007) but is currently being tested for terrestrial environments and there is a free on-line service BINPAS.
The biopollution level enables quantification of an impact in a robust manner in a standard and repeatable way. It makes it possible for comparison between different regions and taxonomic groups at different time intervals. The most impacting biota can be readily distinguished for a given region. It does not evaluate whether an impact effect is either good or bad, it states the change in an ecosystem due to an alien species invasion and measures the magnitude of this change. However, the method requires adequate information in order to obtain the magnitude of the impact, assessed at three levels of confidence (low, medium and high) according to the quality of the data available.
The method is simple to undertake and provide a means of quantifying impacts within any world region. Some assessments have been published (Olenina et al., 2010).
Biological Invasion Impact / Biopollution Assessment System (BINPAS)
This is a free online system that calculates the magnitude of the biological invasion impact or biopollution level (Narščius et al., 2012).
BINPAS translates the existing data on miscellaneous invasive alien species impacts on population, community, habitat or ecosystem into uniform biopollution measurement units. The service is free of charge and available at for anyone interested in biological invasions. Experts willing to perform the assessment for their studied regions are welcome to register and compile the information as contributors.
- Elliott, M. (2003) Biological pollutants and biological pollution - an increasing cause for concern. Marine Pollution Bulletin 46, 275-280
- Olenin S, Minchin D, Daunys D (2007). Assessment of biopollution in aquatic ecosystems. Marine Pollution Bulletin, 55 (7-9), 2007, 379-394
- Olenin S., Alemany F., A. Cardoso C., Gollasch S., Goulletquer P., Lehtiniemi M., McCollin T., Minchin D., Miossec L., Occhipinti Ambrogi A., Ojaveer H., Jensen K.R., Stankiewicz M., Wallentinus I. & Aleksandrov B. (2010). Marine Strategy Framework Directive - Task Group 2 Report. Non-indigenous species. EUR 24342 EN. DOI 10.2788/87092. Luxembourg: Office for Official Publications of the European Communities. 44 pp.
- Olenina, I., Wasmund, N., Hajdu, S., Jurgensone, I., Gromisz, S., Kownacka, J., Toming, K., Vaiciute, D., Olenin, S. 2010. Assessing impacts of invasive phytoplankton: The Baltic Sea case. Marine Pollution Bulletin, 60 (2010) 1691–1700
- Narščius A., S. Olenin, A. Zaiko, D. Minchin. 2012. Biological invasion impact assessment system: From idea to implementation. Ecological Informatics 7, 46–51