Identifying the potential wintering sites of the globally threatened Aquatic Warbler Acrocephalus paludicola using remote sensing-Reference-Cited by-同舟云学术

Identifying the potential wintering sites of the globally threatened Aquatic Warbler Acrocephalus paludicola using remote sensing

Published:2011-08 Issue:2 Volume:82 Page:81-85
ISSN:0030-6525
Container-title:Ostrich
language:en
Short-container-title:Ostrich

Author:

Buchanan Graeme M¹,Lachmann Lars¹²,Tegetmeyer Cosima³,Oppel Steffen¹,Nelson Andrew⁴⁵,Flade Martin⁶

Affiliation:

1. a Royal Society for the Protection of Birds , The Lodge, Sandy, Bedfordshire, SG19 2DL, UK

2. b OTOP-BirdLife Poland, ul. Odrowąża 24, 05–270 Marki , Poland

3. c Universität Greifswald, Institut für Botanik und Landschaftsökologie , Grimmer Str. 88, 17487, Greifswald, Germany

4. d Institute for Environment and Sustainability, Joint Research Centre of the European Commission , TP 440, 1–2120, Ispra, Italy

5. f International Rice Research Institute , DAPO BOX 7777, Metro Manila, Philippines

6. e BirdLife International Aquatic Warbler Conservation Team, Brandenburg State Office for Environment , Tramper Chaussee 2, 16225, Eberswalde, Germany

Publisher

National Inquiry Services Center (NISC)

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.2989/00306525.2011.603461

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1. Migration routes and wintering sites of the Aquatic WarblersAcrocephalus paludicolabreeding in Lithuania and North Belarus;2023-10-13

2. Autumn Migration Strategy and Stop-Over Sites of the Globally Threatened Aquatic Warbler Acrocephalus paludicola on the Atlantic Flyway Migration Route;Acta Ornithologica;2020-10-19

3. Identifying migration routes and non-breeding staging sites of adult males of the globally threatened Aquatic WarblerAcrocephalus paludicola;Bird Conservation International;2018-12-06

4. Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook;Machine Learning for Ecology and Sustainable Natural Resource Management;2018

5. Improving Aquatic Warbler Population Assessments by Accounting for Imperfect Detection;PLoS ONE;2014-04-08