"Migratory species carry a special ecological role in that they connect biodiversity and ecosystem function
across distant regions of our planet. Understanding and monitoring movement patterns and requirements
of migratory species is of particular importance to fulfill monitoring and conservation obligations under
international conventions and initiatives such as the UN Convention on the Conservation of Migratory
Species of Wild Animals.
Within the EO-MOVE project, we model small-scale resource usage of Greater white-fronted geese (Anser
albifrons) at stop-over sites during their spring migration from central Europe to northern Russia. Habitat
use of the greater white-fronted geese is known to be sensitive to land-use intensity, phenology and and
landscape configuration, which calls for the exploitation of remote sensing technologies.
To this end, we collected locational data on several adult geese by means of neckband GPS transmitters and
identified stop-over sites based on their movement behavior.
Subsequently, the stop-over sites were characterized regarding their land-use characteristics and landscape
context by means of optical and SAR time series data from the Sentinel 1 and 2 satellite missions.
Here we present the first results on modeling animal-environment relationships and discuss the potential
for site selection prediction, an important prerequisite for spatially or temporally targeted conservation
Schemes"
%0 Generic
%1 dlr115501
%A Leutner, Benjamin
%A Kölzsch, Andrea
%A Wegmann, Martin
%A Safi, Kamran
%A Wikelski, Martin
%A Dech, Stefan
%B 37th International Symposium on Remote Sensing of Environment
%D 2017
%K conference oral talk Wegmann Leutner Dech LSFE
%T Habitat use of migratory birds: movement ecology meets remote sensing
%U http://elib.dlr.de/115501/
%X "Migratory species carry a special ecological role in that they connect biodiversity and ecosystem function
across distant regions of our planet. Understanding and monitoring movement patterns and requirements
of migratory species is of particular importance to fulfill monitoring and conservation obligations under
international conventions and initiatives such as the UN Convention on the Conservation of Migratory
Species of Wild Animals.
Within the EO-MOVE project, we model small-scale resource usage of Greater white-fronted geese (Anser
albifrons) at stop-over sites during their spring migration from central Europe to northern Russia. Habitat
use of the greater white-fronted geese is known to be sensitive to land-use intensity, phenology and and
landscape configuration, which calls for the exploitation of remote sensing technologies.
To this end, we collected locational data on several adult geese by means of neckband GPS transmitters and
identified stop-over sites based on their movement behavior.
Subsequently, the stop-over sites were characterized regarding their land-use characteristics and landscape
context by means of optical and SAR time series data from the Sentinel 1 and 2 satellite missions.
Here we present the first results on modeling animal-environment relationships and discuss the potential
for site selection prediction, an important prerequisite for spatially or temporally targeted conservation
Schemes"
@presentation{dlr115501,
abstract = {"Migratory species carry a special ecological role in that they connect biodiversity and ecosystem function
across distant regions of our planet. Understanding and monitoring movement patterns and requirements
of migratory species is of particular importance to fulfill monitoring and conservation obligations under
international conventions and initiatives such as the UN Convention on the Conservation of Migratory
Species of Wild Animals.
Within the EO-MOVE project, we model small-scale resource usage of Greater white-fronted geese (Anser
albifrons) at stop-over sites during their spring migration from central Europe to northern Russia. Habitat
use of the greater white-fronted geese is known to be sensitive to land-use intensity, phenology and and
landscape configuration, which calls for the exploitation of remote sensing technologies.
To this end, we collected locational data on several adult geese by means of neckband GPS transmitters and
identified stop-over sites based on their movement behavior.
Subsequently, the stop-over sites were characterized regarding their land-use characteristics and landscape
context by means of optical and SAR time series data from the Sentinel 1 and 2 satellite missions.
Here we present the first results on modeling animal-environment relationships and discuss the potential
for site selection prediction, an important prerequisite for spatially or temporally targeted conservation
Schemes"},
added-at = {2020-09-11T12:04:50.000+0200},
author = {Leutner, Benjamin and K{\"o}lzsch, Andrea and Wegmann, Martin and Safi, Kamran and Wikelski, Martin and Dech, Stefan},
biburl = {https://www.bibsonomy.org/bibtex/29de228976cb8d29dd659c378a88a69dc/earthobs_uniwue},
booktitle = {37th International Symposium on Remote Sensing of Environment},
interhash = {cd664113601b3af1c4ea17ffa26be07c},
intrahash = {9de228976cb8d29dd659c378a88a69dc},
keywords = {conference oral talk Wegmann Leutner Dech LSFE},
timestamp = {2020-11-18T22:08:33.000+0100},
title = {Habitat use of migratory birds: movement ecology meets remote sensing},
url = {http://elib.dlr.de/115501/},
year = 2017
}