Open Access
The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking Animal Tracks with Environmental Data
Gil Bohrer,Somayeh Dodge,Rolf Weinzierl,Sarah C. Davidson,Roland Kays,David C. Douglas,David Brandes,Keith L. Bildstein,Martin Wikelski +8 more
- Vol. 2013
TLDR
The new Env-DATA system enhances Movebank, an open portal of animal tracking data, by automating access to environmental variables from global remote sensing, weather, and ecosystem products from open web resources.Abstract:
BackgroundThe movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental data are heterogeneous in source and format, and are usually obtained at different spatiotemporal scales than movement data. Indeed, there remain scientific and technical challenges in developing linkages between the growing collections of animal movement data and the large repositories of heterogeneous remote sensing observations, as well as in the developments of new statistical and computational methods for the analysis of movement in its environmental context. These challenges include retrieval, indexing, efficient storage, data integration, and analytical techniques.ResultsThis paper contributes to movement ecology research by presenting a new publicly available system, Environmental-Data Automated Track Annotation (Env-DATA), that automates annotation of movement trajectories with ambient atmospheric observations and underlying landscape information. Env-DATA provides a free and easy-to-use platform that eliminates technical difficulties of the annotation processes and relieves end users of a ton of tedious and time-consuming tasks associated with annotation, including data acquisition, data transformation and integration, resampling, and interpolation. The system is illustrated with a case study of Galapagos Albatross (Phoebastria irrorata) tracks and their relationship to wind, ocean productivity and chlorophyll concentration. Our case study illustrates why adult albatrosses make long-range trips to preferred, productive areas and how wind assistance facilitates their return flights while their outbound flights are hampered by head winds.ConclusionsThe new Env-DATA system enhances Movebank, an open portal of animal tracking data, by automating access to environmental variables from global remote sensing, weather, and ecosystem products from open web resources. The system provides several interpolation methods from the native grid resolution and structure to a global regular grid linked with the movement tracks in space and time. The aim is to facilitate new understanding and predictive capabilities of spatiotemporal patterns of animal movement in response to dynamic and changing environments from local to global scales.read more
Citations
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Journal ArticleDOI
Terrestrial animal tracking as an eye on life and planet
Roland Kays,Roland Kays,Roland Kays,Margaret C. Crofoot,Margaret C. Crofoot,Margaret C. Crofoot,Walter Jetz,Walter Jetz,Martin Wikelski,Martin Wikelski,Martin Wikelski +10 more
TL;DR: It is suggested that a golden age of animal tracking science has begun and that the upcoming years will be a time of unprecedented exciting discoveries.
Journal ArticleDOI
Moving in the Anthropocene : global reductions in terrestrial mammalian movements
Marlee A. Tucker,Katrin Böhning-Gaese,William F. Fagan,John M. Fryxell,Bram Van Moorter,Susan C. Alberts,Abdullahi H. Ali,Andrew M. Allen,Andrew M. Allen,Nina Attias,Tal Avgar,Hattie L. A. Bartlam-Brooks,Buuveibaatar Bayarbaatar,Jerrold L. Belant,Alessandra Bertassoni,Dean E. Beyer,Laura R. Bidner,Floris M. van Beest,Stephen Blake,Stephen Blake,Niels Blaum,Chloe Bracis,Danielle D. Brown,P J Nico de Bruyn,Francesca Cagnacci,Francesca Cagnacci,Justin M. Calabrese,Justin M. Calabrese,Constança Camilo-Alves,Simon Chamaillé-Jammes,André Chiaradia,André Chiaradia,Sarah C. Davidson,Sarah C. Davidson,Todd E. Dennis,Stephen DeStefano,Duane R. Diefenbach,Iain Douglas-Hamilton,Iain Douglas-Hamilton,Julian Fennessy,Claudia Fichtel,Wolfgang Fiedler,Christina Fischer,Ilya R. Fischhoff,Christen H. Fleming,Christen H. Fleming,Adam T. Ford,Susanne A. Fritz,Benedikt Gehr,Jacob R. Goheen,Eliezer Gurarie,Eliezer Gurarie,Mark Hebblewhite,Marco Heurich,Marco Heurich,A. J. Mark Hewison,Christian Hof,Edward Hurme,Lynne A. Isbell,René Janssen,Florian Jeltsch,Petra Kaczensky,Adam Kane,Peter M. Kappeler,Matthew J. Kauffman,Roland Kays,Roland Kays,Duncan M. Kimuyu,Flávia Koch,Flávia Koch,Bart Kranstauber,Scott D. LaPoint,Scott D. LaPoint,Peter Leimgruber,John D. C. Linnell,Pascual López-López,A. Catherine Markham,Jenny Mattisson,Emília Patrícia Medici,Ugo Mellone,Evelyn H. Merrill,Guilherme Miranda de Mourão,Ronaldo Gonçalves Morato,Nicolas Morellet,Thomas A. Morrison,Samuel L. Díaz-Muñoz,Samuel L. Díaz-Muñoz,Atle Mysterud,Dejid Nandintsetseg,Ran Nathan,Aidin Niamir,John Odden,Robert B. O'Hara,Luiz Gustavo R. Oliveira-Santos,Kirk A. Olson,Bruce D. Patterson,Rogério Cunha de Paula,Luca Pedrotti,Björn Reineking,Björn Reineking,Martin Rimmler,Tracey L. Rogers,Christer Moe Rolandsen,Christopher S. Rosenberry,Daniel I. Rubenstein,Kamran Safi,Kamran Safi,Sonia Saïd,Nir Sapir,Hall Sawyer,Niels Martin Schmidt,Nuria Selva,Agnieszka Sergiel,Enkhtuvshin Shiilegdamba,João P. Silva,João P. Silva,João P. Silva,Navinder J. Singh,Erling Johan Solberg,Orr Spiegel,Olav Strand,Siva R. Sundaresan,Wiebke Ullmann,Ulrich Voigt,Jake Wall,David W. Wattles,Martin Wikelski,Martin Wikelski,Christopher C. Wilmers,John W. Wilson,George Wittemyer,George Wittemyer,Filip Zięba,Tomasz Zwijacz-Kozica,Thomas Mueller,Thomas Mueller +135 more
TL;DR: Using a unique GPS-tracking database of 803 individuals across 57 species, it is found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in area with a low human footprint.
Journal ArticleDOI
Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl.
Xin Wang,Lei Cao,Anthony David Fox,Richard A. Fuller,Larry Griffin,Carl Mitchell,Yunlin Zhao,Oun-Kyong Moon,David Cabot,Zhenggang Xu,Nyambayar Batbayar,Andrea Kölzsch,Henk P. van der Jeugd,Jesper Madsen,Liding Chen,Ran Nathan +15 more
TL;DR: It is suggested that ecological barriers and particularly human disturbance likely constrain the capacity of herbivorous waterfowl to track the green wave in some regions, highlighting key challenges in conserving migratory birds.
Journal ArticleDOI
A moving target—incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations
Steven J. Cooke,Eduardo G. Martins,Eduardo G. Martins,Daniel P. Struthers,Lee F.G. Gutowsky,Michael Power,Susan E. Doka,John M. Dettmers,David A. Crook,Martyn C. Lucas,Christopher M. Holbrook,Charles C. Krueger +11 more
TL;DR: Biological assessment, when informed by knowledge of spatial ecology, can provide managers with the ability to understand how and when fish and their habitats may be exposed to different threats.
Journal ArticleDOI
Resource tracking within and across continents in long-distance bird migrants
Kasper Thorup,Anders P. Tøttrup,Mikkel Willemoes,Raymond H. G. Klaassen,Roine Strandberg,Marta Lomas Vega,Hari Prasad Dasari,Miguel B. Araújo,Martin Wikelski,Carsten Rahbek +9 more
TL;DR: It is shown that three Palearctic-African species track vegetation greenness throughout their annual cycle, adjusting the timing and direction of migratory movements with seasonal changes in resource availability over Europe and Africa.
References
More filters
Journal ArticleDOI
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more
TL;DR: ERA-Interim as discussed by the authors is the latest global atmospheric reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which will extend back to the early part of the twentieth century.
Journal ArticleDOI
Maximum entropy modeling of species geographic distributions
TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
Journal ArticleDOI
NCEP–DOE AMIP-II Reanalysis (R-2)
Masao Kanamitsu,Wesley Ebisuzaki,John S. Woollen,Shi-Keng Yang,J. J. Hnilo,M. Fiorino,Gerald L. Potter +6 more
TL;DR: The NCEP-DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis is a follow-on project to the "50-year" (1948-present) N CEP-NCAR Reanalysis Project.
Journal ArticleDOI
North american regional reanalysis
Fedor Mesinger,Geoff DiMego,Eugenia Kalnay,Kenneth E. Mitchell,Perry Shafran,Wesley Ebisuzaki,Dusan Jovic,John S. Woollen,Eric Rogers,Ernesto Hugo Berbery,Michael Ek,Yun Fan,Robert Grumbine,Wayne Higgins,Hong Li,Ying Lin,Geoff Manikin,David F. Parrish,Wei Shi +18 more
TL;DR: The North American Regional Reanalysis (NARR) project as mentioned in this paper uses the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output) to capture regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability.
Journal ArticleDOI
The Tropical Rainfall Measuring Mission (TRMM) Sensor Package
TL;DR: In this article, the authors present a reference guide to users wishing to make use of the Tropical Rainfall Measuring Mission data, which covers each of the three primary rainfall instruments: the passive microwave radiometer, the precipitation radar, and the Visible and Infrared Radiometer System on board the spacecraft.