Predicting resilience of migratory birds to environmental change

Author:

Lisovski Simeon1ORCID,Hoye Bethany J.2ORCID,Conklin Jesse R.3ORCID,Battley Phil F.4ORCID,Fuller Richard A.5ORCID,Gosbell Ken B.6ORCID,Klaassen Marcel67ORCID,Benjamin Lee Chengfa89ORCID,Murray Nicholas J.10ORCID,Bauer Silke11121314ORCID

Affiliation:

1. Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Section Polar Terrestrial Environmental Systems, Potsdam 14473, Germany

2. School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia

3. Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9700, The Netherlands

4. Zoology and Ecology Group, Massey University, Palmerston North 4442, New Zealand

5. School of the Environment, The University of Queensland, Brisbane, QLD 4072, Australia

6. Victorian Wader Study Group, Blackburn, VIC 3130, Australia

7. Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, VIC 3217, Australia

8. German Aerospace Center, The Remote Sensing Technology Institute, Berlin 12489, Germany

9. Department of Remote Sensing, EAGLE M. Sc. Program, University of Würzburg, Würzburg 97074, Germany

10. College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia

11. Federal Research Institute WSL, Birmensdorf 8903, Switzerland

12. Department of Bird Migration, Swiss Ornithological Institute, Sempach 6204, Switzerland

13. Institute of Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam 1090 GE, The Netherlands

14. Department of Environmental Systems Science, ETH Zürich, Zürich 8902, Switzerland

Abstract

The pace and scale of environmental change represent major challenges to many organisms. Animals that move long distances, such as migratory birds, are especially vulnerable to change since they need chains of intact habitat along their migratory routes. Estimating the resilience of such species to environmental changes assists in targeting conservation efforts. We developed a migration modeling framework to predict past (1960s), present (2010s), and future (2060s) optimal migration strategies across five shorebird species (Scolopacidae) within the East Asian-Australasian Flyway, which has seen major habitat deterioration and loss over the last century, and compared these predictions to empirical tracks from the present. Our model captured the migration strategies of the five species and identified the changes in migrations needed to respond to habitat deterioration and climate change. Notably, the larger species, with single or few major stopover sites, need to establish new migration routes and strategies, while smaller species can buffer habitat loss by redistributing their stopover areas to novel or less-used sites. Comparing model predictions with empirical tracks also indicates that larger species with the stronger need for adaptations continue to migrate closer to the optimal routes of the past, before habitat deterioration accelerated. Our study not only quantifies the vulnerability of species in the face of global change but also explicitly reveals the extent of adaptations required to sustain their migrations. This modeling framework provides a tool for conservation planning that can accommodate the future needs of migratory species.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Belgian Federal Science Policy Office

Netherlands Organisation for Scientific Research

Research Council of Finland

National Science Foundation

Swiss State Secretariat for Education, Research and Innovation

Publisher

Proceedings of the National Academy of Sciences

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stopover strategies drive potential adaptability under changing environments;Proceedings of the National Academy of Sciences;2024-05-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3