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  • 1
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Long-distance dispersal (LDD) is central to species expansion following climate change, re-colonization of disturbed areas and control of pests. The current paradigm is that the frequency and spatial extent of LDD events are extremely difficult to predict. Here we show that mechanistic models ...
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2015-12-09
    Description: Aim: We examined three potential enhancements of the stable isotope tech- nique for elucidating migratory connectivity in birds inhabiting poorly studied areas, illustrated for Eurasian cranes (Grus grus) that overwinter in and migrate through Israel. First, we examined the use of oxygen stable isotopes (d18O), sel- dom applied for this purpose. Second, we examined the relationship between ambient water d18O and hydrogen stable isotope (d2H) values derived from various models, to determine the geographical origins of migrants. Third, we introduced the use of probabilistic distribution modelling to refine the assign- ment to origin of migrants lacking detailed distribution maps. Location: Feather samples were collected in the Hula Valley (northern Israel) and across the species breeding range in north Eurasia. Methods: We analysed d18O and d2H in primary and secondary flight feathers using standard mass spectrometry. The maximum entropy (MAXENT) model was used to map the probability surface of potential breeding areas, as a Bayesian prior for assigning Hula Valley cranes to potential breeding grounds. Results: We found that d18O was suitable and informative. The soil water iso- scape performed better for d18O while precipitation isoscape was preferable for d2H. The MAXENT-based probability surface largely refined assignments. Overall, most (〉85%) cranes were assigned to the area west of the Ural Mountains, but for two individuals, most of the assigned area (〉90%) was farther east, suggest- ing, for the first time, that Eurasian cranes may undertake the North Asia–Mid- dle East (and perhaps Africa) migration flyway. Main conclusions: Our results call for broader use of d18O in migratory con- nectivity studies and for application of probabilistic distribution modelling. We also encourage investigation of factors determining d18O and d2H integration into animal tissues. The proposed framework may help improve our under- standing of migratory connectivity of species inhabiting previously unexplored areas and thus contribute to the development of efficient conservation plans.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
    Publication Date: 2024-02-07
    Description: One of the most important tasks of ecology is to understand how animals use space and time. Recent advances in the development of automated telemetry systems have enabled tremendous progress in understanding animal ecology, distribution, and behavior in both terrestrial and aquatic environments [1,2,3]. The field of biotelemetry has shifted rapidly from data-poor to data-rich field, when new technologies started to provide huge amounts of data about tracked animals, with unprecedented temporal and spatial resolution [3]. However, these new tracking tools also bring many challenges that can be effectively mitigated only through international and interdisciplinary collaborative efforts. Such initiatives represent indispensable platforms for sharing data, ideas, and technical capacity, establishment of common protocols and standards, efforts to address research questions at broader scales, implementation of international and transdisciplinary research projects, and facilitated uptake of obtained knowledge and information to inform governance and policy [4, 5]. Data sharing is one of the major goals of collaborative research networks, because sharing provides a unique opportunity to upscale data to landscape or ecosystem scales, which is simply intractable for individual research groups to accomplish independently, given the costs and logistics of instrumenting multiple areas for replicated research. Archiving data according to FAIR principles [6] and allowing connections to be forged across research groups is essential for ecologists to leverage the power of acoustic tracking against the high direct and indirect costs of project implementation. There is a growing number of international networks for collecting and sharing telemetry data that operate around the world, including the Ocean Tracking Network (OTN), Integrated Marine Observing System (IMOS), European Tracking Network (ETN), Great Lakes Acoustic Observation System (GLATOS), Acoustic Tracking Array Platform (ATAP), and Lake Fish Telemetry Group (LFTG) [7,8,9,10,11]. The LFTG was established to advance topics in aquatic ecology using shared data sets, data systems, and ecosystem thinking. We present here a brief overview of the LFTG, as an example of an international and interdisciplinary network, with its positive features, challenges, and lessons learned. We further provide an overview of the thematic series ‘Advancing Movement Ecology Through Freshwater Fish Tracking’, which has been initiated through this network, and discuss key future challenges regarding data sharing within and among such networks.
    Type: Article , PeerReviewed
    Format: text
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