TY  - JOUR
A1  - Tucker, Marlee A.
A1  - Boehning-Gaese, Katrin
A1  - Fagan, William F.
A1  - Fryxell, John M.
A1  - Van Moorter, Bram
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Allen, Andrew M.
A1  - Attias, Nina
A1  - Avgar, Tal
A1  - Bartlam-Brooks, Hattie
A1  - Bayarbaatar, Buuveibaatar
A1  - Belant, Jerrold L.
A1  - Bertassoni, Alessandra
A1  - Beyer, Dean
A1  - Bidner, Laura
A1  - van Beest, Floris M.
A1  - Blake, Stephen
A1  - Blaum, Niels
A1  - Bracis, Chloe
A1  - Brown, Danielle
A1  - de Bruyn, P. J. Nico
A1  - Cagnacci, Francesca
A1  - Calabrese, Justin M.
A1  - Camilo-Alves, Constanca
A1  - Chamaille-Jammes, Simon
A1  - Chiaradia, Andre
A1  - Davidson, Sarah C.
A1  - Dennis, Todd
A1  - DeStefano, Stephen
A1  - Diefenbach, Duane
A1  - Douglas-Hamilton, Iain
A1  - Fennessy, Julian
A1  - Fichtel, Claudia
A1  - Fiedler, Wolfgang
A1  - Fischer, Christina
A1  - Fischhoff, Ilya
A1  - Fleming, Christen H.
A1  - Ford, Adam T.
A1  - Fritz, Susanne A.
A1  - Gehr, Benedikt
A1  - Goheen, Jacob R.
A1  - Gurarie, Eliezer
A1  - Hebblewhite, Mark
A1  - Heurich, Marco
A1  - Hewison, A. J. Mark
A1  - Hof, Christian
A1  - Hurme, Edward
A1  - Isbell, Lynne A.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kaczensky, Petra
A1  - Kane, Adam
A1  - Kappeler, Peter M.
A1  - Kauffman, Matthew
A1  - Kays, Roland
A1  - Kimuyu, Duncan
A1  - Koch, Flavia
A1  - Kranstauber, Bart
A1  - LaPoint, Scott
A1  - Leimgruber, Peter
A1  - Linnell, John D. C.
A1  - Lopez-Lopez, Pascual
A1  - Markham, A. Catherine
A1  - Mattisson, Jenny
A1  - Medici, Emilia Patricia
A1  - Mellone, Ugo
A1  - Merrill, Evelyn
A1  - Mourao, Guilherme de Miranda
A1  - Morato, Ronaldo G.
A1  - Morellet, Nicolas
A1  - Morrison, Thomas A.
A1  - Diaz-Munoz, Samuel L.
A1  - Mysterud, Atle
A1  - Nandintsetseg, Dejid
A1  - Nathan, Ran
A1  - Niamir, Aidin
A1  - Odden, John
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - de Paula, Rogerio Cunha
A1  - Pedrotti, Luca
A1  - Reineking, Bjorn
A1  - Rimmler, Martin
A1  - Rogers, Tracey L.
A1  - Rolandsen, Christer Moe
A1  - Rosenberry, Christopher S.
A1  - Rubenstein, Daniel I.
A1  - Safi, Kamran
A1  - Said, Sonia
A1  - Sapir, Nir
A1  - Sawyer, Hall
A1  - Schmidt, Niels Martin
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - Shiilegdamba, Enkhtuvshin
A1  - Silva, Joao Paulo
A1  - Singh, Navinder
A1  - Solberg, Erling J.
A1  - Spiegel, Orr
A1  - Strand, Olav
A1  - Sundaresan, Siva
A1  - Ullmann, Wiebke
A1  - Voigt, Ulrich
A1  - Wall, Jake
A1  - Wattles, David
A1  - Wikelski, Martin
A1  - Wilmers, Christopher C.
A1  - Wilson, John W.
A1  - Wittemyer, George
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Mueller, Thomas
T1  - Moving in the Anthropocene
BT  - global reductions in terrestrial mammalian movements
JF  - Science
N2  - Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we 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 areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
Y1  - 2018
U6  - https://doi.org/10.1126/science.aam9712
SN  - 0036-8075
SN  - 1095-9203
VL  - 359
IS  - 6374
SP  - 466
EP  - 469
PB  - American Assoc. for the Advancement of Science
CY  - Washington
ER  - 
TY  - JOUR
A1  - Noonan, Michael J.
A1  - Tucker, Marlee A.
A1  - Fleming, Christen H.
A1  - Akre, Thomas S.
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Altmann, Jeanne
A1  - Antunes, Pamela Castro
A1  - Belant, Jerrold L.
A1  - Beyer, Dean
A1  - Blaum, Niels
A1  - Boehning-Gaese, Katrin
A1  - Cullen Jr, Laury
A1  - de Paula, Rogerio Cunha
A1  - Dekker, Jasja
A1  - Drescher-Lehman, Jonathan
A1  - Farwig, Nina
A1  - Fichtel, Claudia
A1  - Fischer, Christina
A1  - Ford, Adam T.
A1  - Goheen, Jacob R.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kauffman, Matthew
A1  - Kappeler, Peter M.
A1  - Koch, Flavia
A1  - LaPoint, Scott
A1  - Markham, A. Catherine
A1  - Medici, Emilia Patricia
A1  - Morato, Ronaldo G.
A1  - Nathan, Ran
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - Paviolo, Agustin
A1  - Ramalho, Emiliano Estero
A1  - Rosner, Sascha
A1  - Schabo, Dana G.
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - da Silva, Marina Xavier
A1  - Spiegel, Orr
A1  - Thompson, Peter
A1  - Ullmann, Wiebke
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Fagan, William F.
A1  - Mueller, Thomas
A1  - Calabrese, Justin M.
T1  - A comprehensive analysis of autocorrelation and bias in home range estimation
JF  - Ecological monographs : a publication of the Ecological Society of America.
N2  - Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated‐Gaussian reference function [AKDE], Silverman's rule of thumb, and least squares cross‐validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half‐sample cross‐validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area
) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID‐based estimates by a mean factor of 2. The median number of cross‐validated locations included in the hold‐out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area. To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animal's movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area. While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area, AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.
KW  - animal movement
KW  - kernel density estimation
KW  - local convex hull
KW  - minimum convex polygon
KW  - range distribution
KW  - space use
KW  - telemetry
KW  - tracking data
Y1  - 2018
U6  - https://doi.org/10.1002/ecm.1344
SN  - 0012-9615
SN  - 1557-7015
VL  - 89
IS  - 2
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Olson, R.
A1  - An, Soon-Il
A1  - Fan, Y.
A1  - Evans, J. P.
A1  - Caesar, Levke
T1  - North Atlantic observations sharpen meridional overturning projections
JF  - Climate dynamics : observational, theoretical and computational research on the climate system
N2  - Atlantic Meridional Overturning Circulation (AMOC) projections are uncertain due to both model errors, as well as internal climate variability. An AMOC slowdown projected by many climate models is likely to have considerable effects on many aspects of global and North Atlantic climate. Previous studies to make probabilistic AMOC projections have broken new ground. However, they do not drift-correct or cross-validate the projections, and do not fully account for internal variability. Furthermore, they consider a limited subset of models, and ignore the skill of models at representing the temporal North Atlantic dynamics. We improve on previous work by applying Bayesian Model Averaging to weight 13 Coupled Model Intercomparison Project phase 5 models by their skill at modeling the AMOC strength, and its temporal dynamics, as approximated by the northern North-Atlantic temperature-based AMOC Index. We make drift-corrected projections accounting for structural model errors, and for the internal variability. Cross-validation experiments give approximately correct empirical coverage probabilities, which validates our method. Our results present more evidence that AMOC likely already started slowing down. While weighting considerably moderates and sharpens our projections, our results are at low end of previously published estimates. We project mean AMOC changes between periods 1960-1999 and 2060-2099 of -4.0 Sv and -6.8 Sv for RCP4.5 and RCP8.5 emissions scenarios respectively. The corresponding average 90% credible intervals for our weighted experiments are [-7.2, -1.2] and [-10.5, -3.7] Sv respectively for the two scenarios.
KW  - Atlantic Meridional Overturning Circulation
KW  - Climate modeling
KW  - Bayesian Model Averaging
KW  - Model structural error
KW  - Probabilistic projections
Y1  - 2017
U6  - https://doi.org/10.1007/s00382-017-3867-7
SN  - 0930-7575
SN  - 1432-0894
VL  - 50
IS  - 11-12
SP  - 4171
EP  - 4188
PB  - Springer
CY  - New York
ER  - 
TY  - RPRT
A1  - Brodeur, Abel
A1  - Mikola, Derek
A1  - Cook, Nikolai
A1  - Brailey, Thomas
A1  - Briggs, Ryan
A1  - Gendre, Alexandra de
A1  - Dupraz, Yannick
A1  - Fiala, Lenka
A1  - Gabani, Jacopo
A1  - Gauriot, Romain
A1  - Haddad, Joanne
A1  - Lima, Goncalo
A1  - Ankel-Peters, Jörg
A1  - Dreber, Anna
A1  - Campbell, Douglas
A1  - Kattan, Lamis
A1  - Fages, Diego Marino
A1  - Mierisch, Fabian
A1  - Sun, Pu
A1  - Wright, Taylor
A1  - Connolly, Marie
A1  - Hoces de la Guardia, Fernando
A1  - Johannesson, Magnus
A1  - Miguel, Edward
A1  - Vilhuber, Lars
A1  - Abarca, Alejandro
A1  - Acharya, Mahesh
A1  - Adjisse, Sossou Simplice
A1  - Akhtar, Ahwaz
A1  - Lizardi, Eduardo Alberto Ramirez
A1  - Albrecht, Sabina
A1  - Andersen, Synve Nygaard
A1  - Andlib, Zubaria
A1  - Arrora, Falak
A1  - Ash, Thomas
A1  - Bacher, Etienne
A1  - Bachler, Sebastian
A1  - Bacon, Félix
A1  - Bagues, Manuel
A1  - Balogh, Timea
A1  - Batmanov, Alisher
A1  - Barschkett, Mara
A1  - Basdil, B. Kaan
A1  - Dower, Jaromneda
A1  - Castek, Ondrej
A1  - Caviglia-Harris, Jill
A1  - Strand, Gabriella Chauca
A1  - Chen, Shi
A1  - Chzhen, Asya
A1  - Chung, Jong
A1  - Collins, Jason
A1  - Coppock, Alexander
A1  - Cordeau, Hugo
A1  - Couillard, Ben
A1  - Crechet, Jonathan
A1  - Crippa, Lorenzo
A1  - Cui, Jeanne
A1  - Czymara, Christian
A1  - Daarstad, Haley
A1  - Dao, Danh Chi
A1  - Dao, Dong
A1  - Schmandt, Marco David
A1  - Linde, Astrid de
A1  - Melo, Lucas De
A1  - Deer, Lachlan
A1  - Vera, Micole De
A1  - Dimitrova, Velichka
A1  - Dollbaum, Jan Fabian
A1  - Dollbaum, Jan Matti
A1  - Donnelly, Michael
A1  - Huynh, Luu Duc Toan
A1  - Dumbalska, Tsvetomira
A1  - Duncan, Jamie
A1  - Duong, Kiet Tuan
A1  - Duprey, Thibaut
A1  - Dworschak, Christoph
A1  - Ellingsrud, Sigmund
A1  - Elminejad, Ali
A1  - Eissa, Yasmine
A1  - Erhart, Andrea
A1  - Etingin-Frati, Giulian
A1  - Fatemi-Pour, Elaheh
A1  - Federice, Alexa
A1  - Feld, Jan
A1  - Fenig, Guidon
A1  - Firouzjaeiangalougah, Mojtaba
A1  - Fleisje, Erlend
A1  - Fortier-Chouinard, Alexandre
A1  - Engel, Julia Francesca
A1  - Fries, Tilman
A1  - Fortier, Reid
A1  - Fréchet, Nadjim
A1  - Galipeau, Thomas
A1  - Gallegos, Sebastián
A1  - Gangji, Areez
A1  - Gao, Xiaoying
A1  - Garnache, Cloé
A1  - Gáspár, Attila
A1  - Gavrilova, Evelina
A1  - Ghosh, Arijit
A1  - Gibney, Garreth
A1  - Gibson, Grant
A1  - Godager, Geir
A1  - Goff, Leonard
A1  - Gong, Da
A1  - González, Javier
A1  - Gretton, Jeremy
A1  - Griffa, Cristina
A1  - Grigoryeva, Idaliya
A1  - Grtting, Maja
A1  - Guntermann, Eric
A1  - Guo, Jiaqi
A1  - Gugushvili, Alexi
A1  - Habibnia, Hooman
A1  - Häffner, Sonja
A1  - Hall, Jonathan D.
A1  - Hammar, Olle
A1  - Kordt, Amund Hanson
A1  - Hashimoto, Barry
A1  - Hartley, Jonathan S.
A1  - Hausladen, Carina I.
A1  - Havránek, Tomáš
A1  - Hazen, Jacob
A1  - He, Harry
A1  - Hepplewhite, Matthew
A1  - Herrera-Rodriguez, Mario
A1  - Heuer, Felix
A1  - Heyes, Anthony
A1  - Ho, Anson T. Y.
A1  - Holmes, Jonathan
A1  - Holzknecht, Armando
A1  - Hsu, Yu-Hsiang Dexter
A1  - Hu, Shiang-Hung
A1  - Huang, Yu-Shiuan
A1  - Huebener, Mathias
A1  - Huber, Christoph
A1  - Huynh, Kim P.
A1  - Irsova, Zuzana
A1  - Isler, Ozan
A1  - Jakobsson, Niklas
A1  - Frith, Michael James
A1  - Jananji, Raphaël
A1  - Jayalath, Tharaka A.
A1  - Jetter, Michael
A1  - John, Jenny
A1  - Forshaw, Rachel Joy
A1  - Juan, Felipe
A1  - Kadriu, Valon
A1  - Karim, Sunny
A1  - Kelly, Edmund
A1  - Dang, Duy Khanh Hoang
A1  - Khushboo, Tazia
A1  - Kim, Jin
A1  - Kjellsson, Gustav
A1  - Kjelsrud, Anders
A1  - Kotsadam, Andreas
A1  - Korpershoek, Jori
A1  - Krashinsky, Lewis
A1  - Kundu, Suranjana
A1  - Kustov, Alexander
A1  - Lalayev, Nurlan
A1  - Langlois, Audrée
A1  - Laufer, Jill
A1  - Lee-Whiting, Blake
A1  - Leibing, Andreas
A1  - Lenz, Gabriel
A1  - Levin, Joel
A1  - Li, Peng
A1  - Li, Tongzhe
A1  - Lin, Yuchen
A1  - Listo, Ariel
A1  - Liu, Dan
A1  - Lu, Xuewen
A1  - Lukmanova, Elvina
A1  - Luscombe, Alex
A1  - Lusher, Lester R.
A1  - Lyu, Ke
A1  - Ma, Hai
A1  - Mäder, Nicolas
A1  - Makate, Clifton
A1  - Malmberg, Alice
A1  - Maitra, Adit
A1  - Mandas, Marco
A1  - Marcus, Jan
A1  - Margaryan, Shushanik
A1  - Márk, Lili
A1  - Martignano, Andres
A1  - Marsh, Abigail
A1  - Masetto, Isabella
A1  - McCanny, Anthony
A1  - McManus, Emma
A1  - McWay, Ryan
A1  - Metson, Lennard
A1  - Kinge, Jonas Minet
A1  - Mishra, Sumit
A1  - Mohnen, Myra
A1  - Möller, Jakob
A1  - Montambeault, Rosalie
A1  - Montpetit, Sébastien
A1  - Morin, Louis-Philippe
A1  - Morris, Todd
A1  - Moser, Scott
A1  - Motoki, Fabio
A1  - Muehlenbachs, Lucija
A1  - Musulan, Andreea
A1  - Musumeci, Marco
A1  - Nabin, Munirul
A1  - Nchare, Karim
A1  - Neubauer, Florian
A1  - Nguyen, Quan M. P.
A1  - Nguyen, Tuan
A1  - Nguyen-Tien, Viet
A1  - Niazi, Ali
A1  - Nikolaishvili, Giorgi
A1  - Nordstrom, Ardyn
A1  - Nü, Patrick
A1  - Odermatt, Angela
A1  - Olson, Matt
A1  - ien, Henning
A1  - Ölkers, Tim
A1  - Vert, Miquel Oliver i.
A1  - Oral, Emre
A1  - Oswald, Christian
A1  - Ousman, Ali
A1  - Özak, Ömer
A1  - Pandey, Shubham
A1  - Pavlov, Alexandre
A1  - Pelli, Martino
A1  - Penheiro, Romeo
A1  - Park, RyuGyung
A1  - Martel, Eva Pérez
A1  - Petrovičová, Tereza
A1  - Phan, Linh
A1  - Prettyman, Alexa
A1  - Procházka, Jakub
A1  - Putri, Aqila
A1  - Quandt, Julian
A1  - Qiu, Kangyu
A1  - Nguyen, Loan Quynh Thi
A1  - Rahman, Andaleeb
A1  - Rea, Carson H.
A1  - Reiremo, Adam
A1  - Renée, Laëtitia
A1  - Richardson, Joseph
A1  - Rivers, Nicholas
A1  - Rodrigues, Bruno
A1  - Roelofs, William
A1  - Roemer, Tobias
A1  - Rogeberg, Ole
A1  - Rose, Julian
A1  - Roskos-Ewoldsen, Andrew
A1  - Rosmer, Paul
A1  - Sabada, Barbara
A1  - Saberian, Soodeh
A1  - Salamanca, Nicolas
A1  - Sator, Georg
A1  - Sawyer, Antoine
A1  - Scates, Daniel
A1  - Schlüter, Elmar
A1  - Sells, Cameron
A1  - Sen, Sharmi
A1  - Sethi, Ritika
A1  - Shcherbiak, Anna
A1  - Sogaolu, Moyosore
A1  - Soosalu, Matt
A1  - Srensen, Erik
A1  - Sovani, Manali
A1  - Spencer, Noah
A1  - Staubli, Stefan
A1  - Stans, Renske
A1  - Stewart, Anya
A1  - Stips, Felix
A1  - Stockley, Kieran
A1  - Strobel, Stephenson
A1  - Struby, Ethan
A1  - Tang, John
A1  - Tanrisever, Idil
A1  - Yang, Thomas Tao
A1  - Tastan, Ipek
A1  - Tatić, Dejan
A1  - Tatlow, Benjamin
A1  - Seuyong, Féraud Tchuisseu
A1  - Thériault, Rémi
A1  - Thivierge, Vincent
A1  - Tian, Wenjie
A1  - Toma, Filip-Mihai
A1  - Totarelli, Maddalena
A1  - Tran, Van-Anh
A1  - Truong, Hung
A1  - Tsoy, Nikita
A1  - Tuzcuoglu, Kerem
A1  - Ubfal, Diego
A1  - Villalobos, Laura
A1  - Walterskirchen, Julian
A1  - Wang, Joseph Taoyi
A1  - Wattal, Vasudha
A1  - Webb, Matthew D.
A1  - Weber, Bryan
A1  - Weisser, Reinhard
A1  - Weng, Wei-Chien
A1  - Westheide, Christian
A1  - White, Kimberly
A1  - Winter, Jacob
A1  - Wochner, Timo
A1  - Woerman, Matt
A1  - Wong, Jared
A1  - Woodard, Ritchie
A1  - Wroński, Marcin
A1  - Yazbeck, Myra
A1  - Yang, Gustav Chung
A1  - Yap, Luther
A1  - Yassin, Kareman
A1  - Ye, Hao
A1  - Yoon, Jin Young
A1  - Yurris, Chris
A1  - Zahra, Tahreen
A1  - Zaneva, Mirela
A1  - Zayat, Aline
A1  - Zhang, Jonathan
A1  - Zhao, Ziwei
A1  - Yaolang, Zhong
T1  - Mass reproducibility and replicability
BT  - a new hope
T2  - I4R discussion paper series
N2  - This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.
KW  - conomics
KW  - open science
KW  - political science
KW  - replication
KW  - reproduction
KW  - research transparency
Y1  - 2024
SN  - 2752-1931
IS  - 107
PB  - Institute for Replication
CY  - Essen
ER  -