Recent trends in movement ecology of animals and human mobility.

Mov Ecol

Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, University of Florida, Fort Lauderdale, FL, USA.

Published: May 2022

AI Article Synopsis

  • * A surge in research and technological advancements since the introduction of MEF has provided vast amounts of tracking data for animals and humans, although the focus remains mainly on environmental factors affecting movement, with less attention given to navigation and motion processes.
  • * An analysis of research trends from 2009 to 2018 shows an increase in publication rates and methodologies, particularly the use of GPS and R software, highlighting the need for a more interdisciplinary approach to explore the broader impacts of movement on

Article Abstract

Movement is fundamental to life, shaping population dynamics, biodiversity patterns, and ecosystem structure. In 2008, the movement ecology framework (MEF Nathan et al. in PNAS 105(49):19052-19059, 2008) introduced an integrative theory of organismal movement-linking internal state, motion capacity, and navigation capacity to external factors-which has been recognized as a milestone in the field. Since then, the study of movement experienced a technological boom, which provided massive quantities of tracking data of both animal and human movement globally and at ever finer spatio-temporal resolutions. In this work, we provide a quantitative assessment of the state of research within the MEF, focusing on animal movement, including humans and invertebrates, and excluding movement of plants and microorganisms. Using a text mining approach, we digitally scanned the contents of [Formula: see text] papers from 2009 to 2018 available online, identified tools and methods used, and assessed linkages between all components of the MEF. Over the past decade, the publication rate has increased considerably, along with major technological changes, such as an increased use of GPS devices and accelerometers and a majority of studies now using the R software environment for statistical computing. However, animal movement research still largely focuses on the effect of environmental factors on movement, with motion and navigation continuing to receive little attention. A search of topics based on words featured in abstracts revealed a clustering of papers among marine and terrestrial realms, as well as applications and methods across taxa. We discuss the potential for technological and methodological advances in the field to lead to more integrated and interdisciplinary research and an increased exploration of key movement processes such as navigation, as well as the evolutionary, physiological, and life-history consequences of movement.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134608PMC
http://dx.doi.org/10.1186/s40462-022-00322-9DOI Listing

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