Rare species habitat suitability assessment and reliability evaluation of an expert-based model: A case study of the insectivorous plant Pinguicula crystallina Sibth. et Smith subsp. hirtiflora (Ten.) Strid (Lentibulariaceae). (3rd July 2016)

• Record Type: Journal Article
• Authors: Sbragia, P.; Sibilio, G.; Innangi, M.; Di Febbraro, M.; Trifuoggi, M.; Guida, M.; De Castro, O.
• Is Part Of: Plant biosystems. Volume 150:Number 4(2016)
• Page Start: 730
• Page End: 740
• Publication Date: 2016-07-03
• Subjects: Boyce index -- habitat suitability models -- Italy -- model evaluation -- Pinguicula crystallina subsp. hirtiflora -- water chemistry; Botany -- Periodicals; Biological systems -- Periodicals; Plants -- Periodicals; 581
• DOI: 10.1080/11263504.2014.990940
• Languages: English
• ISSNs: 1126-3504

Abstract

Abstract : The development of habitat suitability models requires a large amount of data which are rarely available. In this case, researchers need to get information on the ecological features of the studied species, based on the opinion of experts or on the literature, to construct a qualitative model. However, such models cannot be rigorously evaluated, as in most cases absence points are not available. In this paper, we assess the habitat suitability for a vulnerable insectivorous plant, Pinguicula crystallina Sibth. et Smith subsp. hirtiflora (Ten.) Strid (Lentibulariaceae) in the Campania region. Our aim was to develop an expert-based, presence-only model in support of possible conservation actions. Topographic and geological features of this species suggested by the literature were used in our model. Both the Boyce index and field surveys were chosen to evaluate the model's reliability. During field surveys, 31 absence sites and 1 new presence site were identified, and differences between sites with regard to water chemistry and quality were investigated, water being an element in the species habitat. Factors that affect reliability of the model, such as the lack of a large amount of information on the species and the limited spatial resolution of geographical information system data, are discussed.