Prediction of lichen diversity in an UNESCO biosphere reserve – correlation of high resolution remote sensing data with field samples |
| |
Authors: | Lars T Waser Meinrad Kuechler Markus Schwarz Eva Ivits Silvia Stofer Christoph Scheidegger |
| |
Institution: | (1) Department of Landscape Inventories, Swiss Federal Research Institute WSL, Zuercherstrasse 111, CH-8903 Birmensdorf, Switzerland;(2) Department of Remote Sensing and LIS, Freiburg University, Tennenbacherstr. 4, 70106 Freiburg, Germany |
| |
Abstract: | The present study focuses on developing models to predict lichen species richness in a UNESCO Biosphere Reserve of the Swiss
Pre-Alps following a gradient of land-use intensity combining remote sensing data and regression models. The predictive power
of the models and the obtained r ranging from 0.5 for lichens on soil to 0.8 for lichens on trees can be regarded as satisfactory to good, respectively. The
study revealed that a combination of airborne and spaceborne remote sensing data produced a variety of ecological meaningful
variables. |
| |
Keywords: | biodiversity biosphere reserve hotspot lichens linear regression models CIR orthoimages remote sensing |
本文献已被 SpringerLink 等数据库收录! |