Publication Details

Category Text Publication
Reference Category Journals
Title (Primary) Modele siedliskowe i analiza zywostnosci populacji / Habitat models and population viability analysis
Author Franz, K.W.; Romanowski, J.; Grimm, V.
Journal Wiadomosci ekologiczne
Year 2011
Department OESA
Volume 57
Issue 3
Page From 97
Page To 108
Language polnisch

Habitat models and populations viability analyses (PVA) are commonly used in conservation biology. Available programs differ in the amount of required species specific data, number of incorporated environmental factors, and assumptions about demography and population dynamics (Table I). These differences pose a potential problem for conservationists who want to apply PVA. Therefore, for successful conservation management it is important that enough effort is invested in learning the benefits and limitations of different programs.Habitat models assume unchanged habitat characteristics and ignore dynamic processes. Complex habitat models have relatively low applicability due to data unavailability. In contrast, simple models are easy to adapt to new study areas and different scales, and obtaining necessary empirical data is less costly. Programs use in population viability analysis are base on general population or metapopulation models and allow assessing the risk of extinction. Similar to the habitat models, different underlying approaches of PVA force users to choose between simplicity and realism.Model choice can be difficult especially for inexpereinced users. Consequently, conservation mamangers planning to use habitat or PVA models to support their decisions should plan for sufficient time and resources for obtaining training. Finally, it is important to remember that modeling results can be improved by combining the elements of habitat and PVA models and by including ranking of management scenarios.

Persistent UFZ Identifier
Franz, K.W., Romanowski, J., Grimm, V. (2011):
Modele siedliskowe i analiza zywostnosci populacji / Habitat models and population viability analysis
Wiad. Ekol. 57 (3), 97 - 108