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Title: | Network analysis of sea turtle movements and connectivity: A tool for conservation prioritization | Authors: | Kot C.Y. Åkesson S. Alfaro-Shigueto J. Amorocho Llanos D.F. Antonopoulou M. Balazs G.H. Baverstock W.R. Blumenthal, Janice M. Broderick, Annette C. Bruno, Ignacio Canbolat, Ali Fuat Casale, Paolo Cejudo, Daniel Coyne, Michael S. Curtice, Corrie DeLand, Sarah DiMatteo, Andrew Dodge, Kara Dunn, Daniel C. Esteban, Nicole Formia, Angela Fuentes, Mariana M. P. B. Fujioka, Ei Garnier, Julie Godfrey, Matthew H. Godley, Brendan J. Carman, Victoria Gonzalez Harrison, Autumn-Lynn Hart, Catherine E. Hawkes, Lucy A. Hays, Graeme C. Hill, Nicholas Hochscheid, Sandra Kaska, Yakup Levy, Yaniv Ley-Quinonez, Cesar P. Lockhart, Gwen G. Lopez-Mendilaharsu, Milagros Luschi, Paolo Mangel, Jeffrey C. Margaritoulis, Dimitris Maxwell, Sara M McClellan, Catherine M. Metcalfe, Kristian Mingozzi, Antonio Moncada, Felix G. Nichols, Wallace J. Parker, Denise M. Patel, Samir H. Pilcher, Nicolas J. Poulin, Sarah Read, Andrew J. Rees, ALan F. Robinson, David P. Robinson, Nathan J. Sandoval-Lugo, Alejandra G. Schofield, Gail Seminoff, Jeffrey A. Seney, Erin E. Snape, Robin T. E. Sözbilen, Doğan Tomás, Jesús Varo-Cruz, Nuria Wallace, Bryan P. Wildermann, Natalie E. Witt, Matthew J. Zavala-Norzagaray, Alan A. Halpin, Patrick N. |
Keywords: | betweenness centrality closeness graph theory marine turtle migratory satellite telemetry tracking connectivity ecology prioritization sampling satellite telemetry turtle vulnerability Atlantic Ocean Atlantic Ocean (South) |
Publisher: | John Wiley and Sons Inc | Abstract: | Aim: Understanding the spatial ecology of animal movements is a critical element in conserving long-lived, highly mobile marine species. Analyzing networks developed from movements of six sea turtle species reveals marine connectivity and can help prioritize conservation efforts. Location: Global. Methods: We collated telemetry data from 1235 individuals and reviewed the literature to determine our dataset's representativeness. We used the telemetry data to develop spatial networks at different scales to examine areas, connections, and their geographic arrangement. We used graph theory metrics to compare networks across regions and species and to identify the role of important areas and connections. Results: Relevant literature and citations for data used in this study had very little overlap. Network analysis showed that sampling effort influenced network structure, and the arrangement of areas and connections for most networks was complex. However, important areas and connections identified by graph theory metrics can be different than areas of high data density. For the global network, marine regions in the Mediterranean had high closeness, while links with high betweenness among marine regions in the South Atlantic were critical for maintaining connectivity. Comparisons among species-specific networks showed that functional connectivity was related to movement ecology, resulting in networks composed of different areas and links. Main conclusions: Network analysis identified the structure and functional connectivity of the sea turtles in our sample at multiple scales. These network characteristics could help guide the coordination of management strategies for wide-ranging animals throughout their geographic extent. Most networks had complex structures that can contribute to greater robustness but may be more difficult to manage changes when compared to simpler forms. Area-based conservation measures would benefit sea turtle populations when directed toward areas with high closeness dominating network function. Promoting seascape connectivity of links with high betweenness would decrease network vulnerability. © 2022 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. | URI: | https://doi.org/10.1111/ddi.13485 https://hdl.handle.net/11499/47605 |
ISSN: | 1366-9516 |
Appears in Collections: | Acıpayam Meslek Yüksekokulu Koleksiyonu Fen-Edebiyat Fakültesi Koleksiyonu WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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