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Stability characterization of the response of white storks foraging behavior to vegetation dynamics retrieved from Landsat time series

Standfuß, Ines and Geiß, Christian and Nathan, Ran and Rotics, Shay and Dech, Stefan and Taubenböck, Hannes (2021) Stability characterization of the response of white storks foraging behavior to vegetation dynamics retrieved from Landsat time series. IEEE International Geoscience and Remote Sensing Symposium, 26. Sep. - 02. Okt. 2020, Hawaii, USA.

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Official URL: https://ieeexplore.ieee.org/document/9324051

Abstract

Agricultural activities cause rapid changes in vegetation development at local and regional scales. Those modifications affect the small-scale behavior of animals, like the foraging ground usage of breeding white storks. Only recently, a novel approach, that enables to quantify the relationship between mowing and harvesting activities and a prolonged foraging time of storks by combining remote sensing time series with GPS telemetry, has been proposed. This study examines the stability of this approach. We investigate two potential influencing factors: different vegetation indices and time lags over which vegetation dynamics were retrieved. Mostly independent from the vegetation index and time lag, we observed that storks spent large proportions of foraging time in areas characterized by a recent drop in vegetation indices, indicative for a preferred usage after harvesting and mowing events. This suggest that the proposed approach is relatively stable and hence, provides a reasonable basis to investigate the effects of anthropogenic vegetation alterations on animal behavior at small spatiotemporal scales.

Item URL in elib:https://elib.dlr.de/140477/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Article not yet published online
Title:Stability characterization of the response of white storks foraging behavior to vegetation dynamics retrieved from Landsat time series
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Standfuß, InesInes.Standfuss (at) dlr.deUNSPECIFIED
Geiß, ChristianChristian.Geiss (at) dlr.deUNSPECIFIED
Nathan, RanHebrew University of JerusalemUNSPECIFIED
Rotics, ShayHebrew University of JerusalemUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Taubenböck, HannesHannes.Taubenboeck (at) dlr.deUNSPECIFIED
Date:February 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 4799-4802
Status:Published
Keywords:remote sensing, telemetry data, vegetation dynamics, Anthropocene, habitat usage
Event Title:IEEE International Geoscience and Remote Sensing Symposium
Event Location:Hawaii, USA
Event Type:international Conference
Event Dates:26. Sep. - 02. Okt. 2020
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Standfuß, Ines
Deposited On:18 Feb 2021 14:43
Last Modified:25 Feb 2021 10:38

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