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      Environmental drivers of spatiotemporal foraging intensity in fruit bats and implications for Hendra virus ecology

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          Abstract

          In the Australian subtropics, flying-foxes (family Pteropididae) play a fundamental ecological role as forest pollinators. Flying-foxes are also reservoirs of the fatal zoonosis, Hendra virus. Understanding flying fox foraging ecology, particularly in agricultural areas during winter, is critical to determine their role in transmitting Hendra virus to horses and humans. We developed a spatiotemporal model of flying-fox foraging intensity based on foraging patterns of 37 grey-headed flying-foxes ( Pteropus poliocephalus) using GPS tracking devices and boosted regression trees. We validated the model with independent population counts and summarized temporal patterns in terms of spatial resource concentration. We found that spatial resource concentration was highest in late-summer and lowest in winter, with lowest values in winter 2011, the same year an unprecedented cluster of spillover events occurred in Queensland and New South Wales. Spatial resource concentration was positively correlated with El Niño Southern Oscillation at 3–8 month time lags. Based on shared foraging traits with the primary reservoir of Hendra virus ( Pteropus alecto), we used our results to develop hypotheses on how regional climatic history, eucalypt phenology, and foraging behaviour may contribute to the predominance of winter spillovers, and how these phenomena connote foraging habitat conservation as a public health intervention.

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          BOOSTED TREES FOR ECOLOGICAL MODELING AND PREDICTION

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            Increased El Niño frequency in a climate model forced by future greenhouse warming

              • Record: found
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              • Article: not found

              Estimating space-use and habitat preference from wildlife telemetry data

                Author and article information

                Contributors
                gilesjohnr@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                22 June 2018
                22 June 2018
                2018
                : 8
                : 9555
                Affiliations
                [1 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, ; Baltimore, MD USA
                [2 ]ISNI 0000 0004 0437 5432, GRID grid.1022.1, Environmental Futures Research Institute, , Griffith University, ; Brisbane, QLD Australia
                [3 ]ISNI 0000 0004 4902 0432, GRID grid.1005.4, School of Biological, Earth, and Environmental Sciences, , University of New South Wales, ; Sydney, NSW Australia
                [4 ]CSIRO Health and Biosecurity, Brisbane, Queensland 4001 Australia
                [5 ]ISNI 0000 0001 2156 6108, GRID grid.41891.35, Department of Microbiology and Immunology, , Montana State University, ; Bozeman, MT USA
                [6 ]CSIRO Land and Water, Atherton, Queensland 4883 Australia
                Author information
                http://orcid.org/0000-0002-0954-4093
                http://orcid.org/0000-0003-3538-3550
                Article
                27859
                10.1038/s41598-018-27859-3
                6015053
                29934514
                9bbb36ec-be4d-4a69-bab3-368d43ac5186
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 November 2017
                : 23 May 2018
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