Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
sabinaHSBM : An R package for link prediction and network reconstruction using hierarchical stochastic block models
AuthorsHerlander Lima; Jennifer Morales‐Barbero; Rubén G. Mateo; Ignacio Morales‐Castilla; Miguel Á. Rodríguez
Affiliations1. Estación Biológica de Doñana (EBD‐CSIC) Sevilla Spain; 2. Departamento de Biología, Facultad de Ciencias Universidad Autónoma de Madrid Madrid Spain; 3. Centro de Investigación en Biodiversidad y Cambio Global (CIBC‐UAM) Universidad Autónoma de Madrid Madrid Spain; 4. GloCEE—Global Change Ecology and Evolution Group, Department of Life Sciences University of Alcalá Alcalá de Henares Spain
Modelling density surfaces from integrated passive acoustic and point count data streams
AuthorsRichard J. Camp; Eric J. Pedersen; Trevor Bak; Amanda Navine; Erika K. Kekiwi; Christopher C. Warren; Seth W. Judge; Patrick J. Hart; Lucas Berio Fortini
Affiliations1. U.S. Geological Survey, Pacific Island Ecosystems Research Center Hawai‘i National Park Hawaii USA; 2. Department of Biology Concordia University Montreal Quebec Canada; 3. Hawai'i Cooperative Studies Unit University of Hawai'i–Hilo Hilo Hawaii USA; 4. Listening Observatory for Hawaiian Ecosystems, Biology Department University of Hawai'i at Hilo Hilo Hawaii USA; 5. Haleakalā National Park Makawao Hawaii USA; 6. Pacific Island Network Inventory and Monitoring Program National Park Service Hawai'i National Park Hawaii USA
SANE : An index of anthropogenic noise levels for wildlife research in terrestrial ecosystems
AuthorsMatteo Giuliani; Davide Mirante; Luca Francesco Russo; Andrea Zampetti; Luca Santini
Affiliations1. Department of Biology and Biotechnologies ‘Charles Darwin’ Sapienza University of Rome Rome Italy
Predicting ecological interactions across space through pairwise integration of latent network patterns
AuthorsKesem Abramov; Geut Galai; Barry Biton; Rami Puzis; Shai Pilosof
Affiliations1. Department of Life Sciences Ben‐Gurion University of the Negev Be'er Sheva Israel; 2. Stein Faculty of Computer and Information Science Ben‐Gurion University of the Negev Be'er Sheva Israel; 3. The Goldman Sonnenfeldt School of Sustainability and Climate Change Ben‐Gurion University of the Negev Be'er Sheva Israel
BIMr2 : Inference of migration rates and their drivers from multilocus genotypes
AuthorsIgor J. Chybicki; Juan J. Robledo‐Arnuncio; Oscar E. Gaggiotti
Affiliations1. Department of Genetics Kazimierz Wielki University Bydgoszcz Poland; 2. Department of Forest Ecology and Genetics Institute of Forest Sciences (ICIFOR‐INIA), CSIC Madrid Spain; 3. Centre for Biological Diversity School of Biology, University of St Andrews St Andrews UK
Residual diagnostics for assessing closed population capture–recapture models
AuthorsJakub Stoklosa; Bernice Laitly; Pierre Lafaye de Micheaux
Affiliations1. School of Mathematics and Statistics, The University of New South Wales Sydney Australia; 2. Evolution & Ecology Research Centre, The University of New South Wales Sydney Australia
Inference on state occupancy in covariate‐driven hidden Markov models
AuthorsMaya Natascha Vienken; Jan‐Ole Fischer; Roland Langrock
Affiliations1. Statistics and Data Analysis, Department of Business Administration and Economics Bielefeld University Bielefeld Germany
Geolocation with a magnetic sensor
AuthorsRaphaël Nussbaumer; Erich Bächler; Felix Liechti; Martins Briedis; Paul Dufour; Yann Rime; Pablo Capilla‐Lasheras; Joanna B. Wong; Richard Holland; Barbara Helm
Affiliations1. Swiss Ornithological Institute Sempach Switzerland; 2. University of Basel Basel Switzerland; 3. Institute of Biology, Faculty of Medicine and Life Sciences University of Latvia Riga Latvia; 4. FitzPatrick Institute of African Ornithology, University of Cape Town Cape Town South Africa; 5. Bangor University Bangor UK
Accuracy of occurrence and abundance estimates from insect metabarcoding
AuthorsEla Iwaszkiewicz‐Eggebrecht; Emma Granqvist; Karol H. Nowak; Catalina Valdivia; Mateusz Buczek; Amrita Srivathsan; Emily Hartop; Andreia Miraldo; Tomas Roslin; Ayco J. M. Tack; Piotr Łukasik; Rudolf Meier; Fredrik Ronquist
Affiliations1. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden; 2. Faculty of Biology Institute of Environmental Sciences, Jagiellonian University Kraków Poland; 3. PhD Programme in Biology, Faculty of Biology Jagiellonian University Kraków Poland; 4. Center for Integrative Biodiversity Discovery Museum für Naturkunde Berlin Germany; 5. Department of Natural History NTNU University Museum, Norwegian University of Science and Technology Trondheim Norway; 6. Biodiversity and Sustainability Solutions—BaSS Aveiras de Baixo Portugal; 7. Department of Ecology Swedish University of Agricultural Sciences (SLU) Uppsala Sweden; 8. Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland; 9. Department of Ecology, Environment and Plant Sciences Stockholm University Stockholm Sweden
Enriching historical biologging datasets on seabirds using deep neural networks: A transformer‐based approach to infer energy expenditure proxy from GPS and environmental data
AuthorsNoémie Muquet; Adrien Brunel; Christophe Barbraud; Leandro Bugoni; Karine Delord; Guilherme Tavares Nunes; Jean‐Daniel Zucker; Sophie Lanco
Affiliations1. MARBEC (Univ. Montpellier, Ifremer, CNRS, IRD) Sète France; 2. UMMISCO, Mathematical and Computational Modeling of Complex Systems Paris France; 3. Centre d'Etudes Biologiques de Chizé UMR7372 Centre National de la Recherche Scientifique (CNRS), La Rochelle Université Villiers en Bois France; 4. Laboratório de Aves Aquáticas e Tartarugas Marinhas (LAATM) Universidade Federal do Rio Grande (FURG) Rio Grande Rio Grande do Sul Brazil; 5. Centro de Estudos Costeiros, Limnológicos e Marinhos (CECLIMAR) Universidade Federal do Rio Grande do Sul (UFRGS) Imbé Brazil; 6. Nutrition and Obesities: Systemic Approaches (NutriOmique) Sorbonne University Inserm Paris France
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