Iterative species distribution modelling and ground validation in endemism research: an Alpine jumping bristletail example

作者：Rinnhofer Lukas J^*; Roura Pascual Nuria; Arthofer Wolfgang; Dejaco Thomas; Thaler Knoflach Barbara; Wachter Gregor A; Christian Erhard; Steiner Florian M; Schlick Steiner Birgit C

来源：Biodiversity and Conservation, 2012, 21(11): 2845-2863.

DOI：10.1007/s10531-012-0341-z

• Bristletails
• Endemism
• ENMTools
• Maxent
• Machilis pallida
• Species distribution modelling

Endemic species play an important role in conservation ecology. However, knowledge of the real distribution and ecology is still scarce for many endemics. The aims of this study were to predict the distribution of the short-range endemic Alpine jumping bristletail Machilis pallida; to evaluate the actual level of endemism via ground validation using an iterative approach for testing the models in field trips and increasing the quality of the prediction step by step; and to test the potential of species distribution modelling for increasing the knowledge about the ecological niche. Based on seven known locations of M. pallida, we used species distribution modelling via Maxent. After a set of seven field trips a new model was built if new locations were found. Three such iterations were performed to increase model quality. We discovered four new locations of M. pallida, increasing the area of known distribution from 470 to 4,890 km(2). The distribution of M. pallida is thus wider than formerly known, but our results support Eastern Alpine endemism of the species. The knowledge about the ecological niche could be increased due to the newly found locations. Our study showcases the potential of the iterative approach of modelling and ground validation to evaluate the actual level of endemism and the ecological niche in Alpine species and beyond.

• 出版日期2012-10