A Geostatistical Approach to Estimate High Resolution Nocturnal Bird Migration Densities from a Weather Radar Network
Quantifying nocturnal bird migration at high resolution is essential for (1) understanding the phenology of migration and its drivers, (2) identifying critical spatio-temporal protection zones for migratory birds, and (3) assessing the risk of collision with artificial structures. We propose a tailo...
Main Authors: | Raphaël Nussbaumer, Lionel Benoit, Grégoire Mariethoz, Felix Liechti, Silke Bauer, Baptiste Schmid |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/19/2233 |
Similar Items
-
High-Resolution Spatial Distribution of Bird Movements Estimated from a Weather Radar Network
by: Bart Kranstauber, et al.
Published: (2020-02-01) -
Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed
by: Keh-Han Wang, et al.
Published: (2020-05-01) -
Seasonal Trends in Movement Patterns of Birds and Insects Aloft Simultaneously Recorded by Radar
by: Xu Shi, et al.
Published: (2021-05-01) -
Broad-Scale Weather Patterns Encountered during Flight Influence Landbird Stopover Distributions
by: Hannah L. Clipp, et al.
Published: (2020-02-01) -
Coupling Atmospheric and Biological Remote Sensing to Investigate Boundary-Layer Evolution and Animal Flight Behavior as Affected by the 2017 North American Solar Eclipse
by: Phillip M. Stepanian, et al.
Published: (2020-02-01)