← Back to cohort
Biological Earth observation with animal sensors
Walter Jetz, Grigori Tertitski, Roland Kays, U. Mueller, Martin Wikelski, Susanne Åkesson, Yury Anisimov, Aleksey Antonov, Walter Arnold, Franz Bairlein, Oriol Baltà, Diane Baum, Mario Beck, Olga Belonovich, Mikhail Belyaev, Matthias Berger, Peter Berthold, Steffen Bittner, Stephen Blake, Barbara A. Block, Daniel A. F. Bloche, Katrin Boehning‐Gaese, Gil Bohrer, Julia Bojarinova, G. Bommas, O. V. Bourski, Albert Bragin, Alexandr Bragin, Rachel Bristol, Vojtěch Brlík, Victor N. Bulyuk, Francesca Cagnacci, Taylor K. Chapple, Kalkidan F. Chefira, Yachang Cheng, Nikita Chernetsov, Grzegorz Cierlik, Simon S. Christiansen, Oriol Clarabuch, William D. Cochran, Jamie M. Cornelius, Iain D. Couzin, Margret C. Crofoot, Sebastián Cruz, Alexander A. Davydov, Sarah C. Davidson, Stefan Dech, Dina K. N. Dechmann, E. Yu. Demidova, Jan Dettmann, Sven Dittmar, Dmitry Dorofeev, Detlev Drenckhahn, V. M. Dubyanskiy, Н. В. Егоров, Sophie Ehnbom, Diego Ellis‐Soto, R. Ewald, C. J. Feare, Igor Fefelov, Péter Fehérvári, Wolfgang Fiedler, Andrea Flack, Magnus Froböse, Ivan Fufachev, Pavel A. Futoran, Vyachaslav Gabyshev, Anna Gagliardo, Stefan Garthe, Sergey I. Gashkov, Luke Gibson, Wolfgang Goymann, Gerd Gruppe, Chris Guglielmo, Phil Hartl, Anders Hedenström, Arne Hegemann, Georg Heine, Mäggi Hieber Ruiz, Heribert Hofer, Felix Huber, Edward Hurme, Fabiola Iannarilli, Marc Illa, Arkadiy Isaev, Bent K. Jakobsen, Lukas Jenni, Brett R. Jesmer, Frédéric Jiguet, Tatiana Karimova, N. Jeremy Kasdin, Fedor Kazansky, Ruslan Kirillin, Thomas Klinner, Andreas Knopp, Andrea Kölzsch, Alexander Kondratyev, Marco Krondorf, Pavel Ktitorov, Olga V. Kulikova, Rahul Kumar, Claudia Künzer, Anatoliy Larionov, C. Larose, Félix Liechti, Nils Linek, Ashley Lohr, А. А. Лущекина, Kate Mansfield, Maria Matantseva, Mikhail Markovets, Peter P. Marra, Juan F. Masello, Jörg Melzheimer, Myles H. M. Menz, Stephen Menzie, Swetlana Meshcheryagina, Dale G. Miquelle, Vladimir A. Morozov, Andrey Mukhin, Inge Müller, Thomas Mueller, Juan G. Navedo, Ran Nathan, L.S. Nelson, Zoltán Németh, Scott Newman, Ryan W. Norris, Olivier Nsengimana, И. М. Охлопков, Wioleta Oleś, Ruth Y. Oliver, Teague M. O'Mara, Péter Palatitz, Jesko Partecke, Ryan Pavlick, Anastasia Pedenko, Alys Perry, Julie Pham, Daniel Piechowski, Allison Pierce, Theunis Piersma, Wolfgang Pitz, Dirk Plettemeier, Irina D. Pokrovskaya, Liya Pokrovskaya, Ivan Pokrovsky, Morrison T. Pot, Petr Procházka, Petra Quillfeldt, Eldar Rakhimberdiev, Marilyn Ramenofsky, Ajay Ranipeta, Jan Rapczyński, Magdalena Remisiewicz, В. В. Рожнов, Froukje Rienks, Christian Rutz, В. В. Сахвон, Nir Sapir, Kamran Safi, Friedrich Schäuffelhut, David Schimel, Andreas Schmidt, Judy Shamoun‐Baranes, Alexander Sharikov, Laura Shearer, Evgeny Shemyakin, Sherub Sherub, Yanina V. Sica, Thomas B. Smith, Sergey Simonov, Katherine R. S. Snell, Aleksandr Sokolov, Vasiliy Sokolov, Olga N Solomina, Mikhail Soloviev, Fernando Spina, Kamiel Spoelstra, Martin Storhas, Т. А. Свиридова, George W. Swenson, Phil Taylor, Kasper Thorup, Arseny Tsvey, Marlee A. Tucker, Sophie Tuppen, Woody Turner, Innocent Twizeyimana, Henk P. van der Jeugd, Louis van Schalkwyk, Mariëlle L. van Toor, Pauli Viljoen, Marcel E. Visser, Tamara Volkmer, А А Волков, С. В. Волков, O. N. Volkov, Jan A. C. von Rönn, Bernd Vorneweg, Bettina Wachter, Jonas Waldenström, Natalie Weber, Martin Wegmann, Aloysius Wehr, Rolf Weinzierl, Johannes Weppler, David S. Wilcove, Timm A. Wild, Hannah J. Williams, John H. Wilshire, John C. Wingfield, Michael B. Wunder, A. A. Yachmennikova, Scott W. Yanco, Elisabeth Yohannes, Amelie Zeller, Christian Ziegler, Anna Zięcik, Cheryl Zook
Bibliographic record
VenueTrends in Ecology & Evolution · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsAcadia UniversityUniversity of GuelphWestern University
FundersCenter for Makroøkologi, Evolution og KlimaRussian Academy of SciencesLeibniz-GemeinschaftCalifornia Department of Fish and WildlifeUniversity of Illinois at Urbana-ChampaignPrinceton UniversitySorbonne UniversitéUniversität KonstanzSouthern University of Science and TechnologyDirectorate for Biological SciencesUniversidad Austral de ChileSenckenberg Biodiversität und Klima ForschungszentrumUniversität StuttgartFar East Branch, Russian Academy of SciencesDebreceni EgyetemJulius-Maximilians-Universität WürzburgKoninklijke Nederlandse Akademie van WetenschappenRadboud UniversiteitLomonosov Moscow State UniversityTomsk State UniversityNational Aeronautics and Space AdministrationGeorgetown UniversityWildlife Conservation SocietyMuséum National d'Histoire NaturelleUniversità di PisaJustus Liebig Universität GießenLeibniz-Institut für Zoo- und WildtierforschungUral Branch, Russian Academy of SciencesDeutsches Zentrum für Luft- und RaumfahrtCentre National de la Recherche ScientifiqueUniversity of Central FloridaTechnische Universität DresdenHebrew University of JerusalemLunds UniversitetNederlands Instituut voor EcologieYale UniversityChristian-Albrechts-Universität zu KielUniversity of PretoriaSmithsonian Tropical Research InstituteNederlandse Organisatie voor Wetenschappelijk OnderzoekNASA HeadquartersIrkutsk State UniversityEuropean Space AgencyRijksuniversiteit GroningenNorth Carolina Museum of Natural SciencesAcadia UniversityJet Propulsion LaboratoryLinnéuniversitetetCalifornia Institute of TechnologyUniversity of California, DavisSmithsonian Institution
KeywordsScale (ratio)Earth observationHuman animalRemote sensingEnvironmental scienceBiological motionTracking (education)Animal behaviorAnimal healthEnvironmental resource managementComputer scienceGeographyEcologyEngineeringCartographyArtificial intelligenceBiologyAerospace engineeringSatellite
Abstract
Space-based tracking technology using low-cost miniature tags is now delivering data on fine-scale animal movement at near-global scale. Linked with remotely sensed environmental data, this offers a biological lens on habitat integrity and connectivity for conservation and human health; a global network of animal sentinels of environmental change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.041
GPT teacher head0.251
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations131
Published2022
Admission routes2
Has abstractyes