caa a22 4500 475751078 CHVBK 20180406123523.0 cr unu---uuuuu 170329e20000801xx s 000 0 eng 10.1023/A:1026531400356 doi (NATIONALLICENCE)springer-10.1023/A:1026531400356 Luoto Miska GIS and Remote Sensing Unit, Finnish Environment Institute, Box 140, FIN-00251, Helsinki, Finland aut Modelling of rare plant species richness by landscape variables in an agriculture area in Finland [Elektronische Daten] [Miska Luoto] A multivariate linear regression model is proposed for predicting and mapping rare vascular plant species richness in Finnish agricultural landscapes according to landscape variables. The data used in developing the model were derived from a floristic inventory from 105 0.5km × 0.5km grid squares. Using a stepwise multiple regression technique, four landscape variables were found to explain 71.8% of the variability in the number of rare plant species. The results suggest that the local 'shotspots' of rare plants (squares with ≥5 rare taxa) are mainly found in heterogeneous river valleys, where extensive semi-natural grasslands and herb-rich forests occur on the steep slopes. According to other similar studies, intermediate human disturbance increases the number of rare species in agricultural landscapes. It appears that empirical models based on landscape variables derived from digital maps can provide relatively accurate surrogates for extensive field surveys and fine-scale observations on the distributions of rare taxa in agricultural landscapes. Potential reasons for the performance of the model and the ecology and habitats of the species concerned are discussed. Kluwer Academic Publishers, 2000 GIS nationallicence Habitat nationallicence Hotspot nationallicence Semi-natural grassland nationallicence Spatial modelling nationallicence Surrogacy method nationallicence Plant Ecology Kluwer Academic Publishers 149/2(2000-08-01), 157-168 1385-0237 149:2<157 2000 149 11258 https://doi.org/10.1023/A:1026531400356 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1026531400356 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Luoto Miska GIS and Remote Sensing Unit, Finnish Environment Institute, Box 140, FIN-00251, Helsinki, Finland aut NATIONALLICENCE 773 0- Plant Ecology Kluwer Academic Publishers 149/2(2000-08-01), 157-168 1385-0237 149:2<157 2000 149 11258 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer