Predicting and mapping Plethodontid salamander abundance using LiDAR-derived terrain and vegetation characteristics
Aim of the study: Use LiDAR-derived vegetation and terrain characteristics to develop abundance and occupancy predictions for two terrestrial salamander species, Plethodon glutinosus and P. kentucki, and map abundance to identify vegetation and terrain characteristics affecting their distribution....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
2020-11-01
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| Series: | Forest Systems |
| Online Access: | https://revistas.inia.es/index.php/fs/article/view/16074 |