text: 54,2,1280287147157860353,988920586750619649,"Dr. Rocío Joo, PhD","Hey #movementecology community, check our new paper <LINK> reviewing the last decade in the field, based on text analysis in #RStats of &gt; 8000 papers. Some highlights of our paper in this thread. *OK 1/2 of the paper in this thread (1/n) <LINK> History. The study of #movement is pretty old (check timeline below), but the term #movementecology was not popular before a special feature on movement ecology in which @ran_nathan and colleagues defined the movement ecology framework (MEF). (2/n) <LINK> The MEF consisted of: external factors (environmental conditions that affect #movement), internal state (intrinsic factors affecting motivation and readiness to move), navigation (traits enabling the individual to orient), and motion (traits enabling the individual to move) (3/n) <LINK> The outcome of the interactions between these components would be the observed path. We found that, in the last decade, most studies tackled movement in relation to external factors, while a minority of them studied the processes behind #movement, like motion or navigation. (4/n) <LINK> Technology. While the MEF has not seemed to have radically changed the field, #biologging and #software use have changed. E.g. GPS, accelerometer and video are more popular. #Rstats has become the undisputed preference in the field among #software tools. (5/n) <LINK> #Stats. Our analyses revealed that movement, spatial or time-series statistical tools are not the most popular choices in #movementecology studies, but rather generic tools like GLM (that could eventually have a term accounting for time or space in some way). (6/n) <LINK> #technology vs. concepts. Overall, the results seem to indicate that technology has played a bigger role in #movementecology than #movement concepts. Is the field more data-driven than ideas-driven? Where do we as #movement researchers stand in this trade-off? (7/n) <LINK> The methods for #TextAnalysis (including quality control) and #rstats codes are described in detail here: <LINK> (8/n) <LINK> Did you participate in our #movementecology survey like a year ago? If you did, thank you so much! Here are the results <LINK> End of the thread. I'd love to get your thoughts on the paper :) (9/n)",https://arxiv.org/abs/2006.00110,"Movement is fundamental to life, shaping population dynamics, biodiversity patterns, and ecosystem structure. Recent advances in tracking technology have enabled fundamental questions about movement to be tackled, leading to the development of the movement ecology framework (MEF), considered a milestone in the field [1]. The MEF introduced an integrative theory of organismal movement, linking internal state, motion capacity and navigation capacity to external factors. Here, a decade later, we investigated the current state of research in the field. Using a text mining approach on >8000 peer-reviewed papers in movement ecology, we explored the main research topics, evaluated the impact of the MEF, and assessed changes in the use of technological devices, software and statistical methods. The number of publications has increased considerably and there have been major technological changes in the past decade (i.e.~increased use of GPS devices, accelerometers and video cameras, and a convergence towards R), yet we found that research focuses on the same questions, specifically, on the effect of environmental factors on movement and behavior. In practice, it appears that movement ecology research does not reflect the MEF. We call on researchers to transform the field from technology-driven to embrace interdisciplinary collaboration, in order to reveal key processes underlying movement (e.g.~navigation), as well as evolutionary, physiological and life-history consequences of particular strategies. ",A decade of movement ecology,9,"['Hey #movementecology community, check our new paper <LINK> reviewing the last decade in the field, based on text analysis in #RStats of &gt; 8000 papers. Some highlights of our paper in this thread. *OK 1/2 of the paper in this thread (1/n) <LINK>', 'History. The study of #movement is pretty old (check timeline below), but the term #movementecology was not popular before a special feature on movement ecology in which @ran_nathan and colleagues defined the movement ecology framework (MEF). (2/n) https://t.co/rTvlFVmJrZ', 'The MEF consisted of: external factors (environmental conditions that affect #movement), internal state (intrinsic factors affecting motivation and readiness to move), navigation (traits enabling the individual to orient), and motion (traits enabling the individual to move) (3/n) https://t.co/7rhNCOPaCa', 'The outcome of the interactions between these components would be the observed path. We found that, in the last decade, most studies tackled\nmovement in relation to external factors, while a minority of them studied the processes behind #movement, like motion or navigation. (4/n) https://t.co/77bIJu7rmm', 'Technology. While the MEF has not seemed to have radically changed the field, #biologging and #software use have changed. E.g. GPS, accelerometer and video are more popular. #Rstats has become the undisputed preference in the field among #software tools. (5/n) https://t.co/UGAudH3ODH', '#Stats. Our analyses revealed that movement, spatial or time-series statistical tools are not the most popular choices in #movementecology studies, but rather generic tools like GLM (that could eventually have a term accounting for time or space in some way). (6/n) https://t.co/g1pHBXM8o6', '#technology vs. concepts. Overall, the results seem to indicate that technology has played a bigger role in #movementecology than #movement concepts. Is the field more data-driven than ideas-driven? Where do we as #movement researchers stand in this trade-off? (7/n) https://t.co/DZV8akWnTm', 'The methods for #TextAnalysis (including quality control) and #rstats codes are described in detail here: https://t.co/q7alkm2dQ5 (8/n) https://t.co/32b553RAxv', ""Did you participate in our #movementecology survey like a year ago? If you did, thank you so much! Here are the results https://t.co/D3SKl9j575 End of the thread. I'd love to get your thoughts on the paper :) (9/n)""]",20,06,2218