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Environmental Sciences & Ecology
Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
329
days
Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference
Authors
Yann Teytaut; Sylvain Haupert; Lorenzo Dubois; Ludovic Crochard; Frédéric Azémar; Ángel G. Guevara; Patricia Balaresque; Jérôme SueurShow moreShow less
Affiliations
1. Algomus, Centre de Recherche en Informatique et Automatique (CRIStAL), Centre National de la Recherche Scientifique (CNRS) Université de Lille, Inria, Centrale Lille Lille France; 2. Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséum National d'Histoire Naturelle (MNHN), Centre National de la Recherche Scientifique (CNRS) Sorbonne University Paris France; 3. Centre de Recherche sur la Biodiversité et l'Environnement (CRBE) Université de Toulouse, CNRS, IRD, Toulouse INP Toulouse France; 4. Instituto de Investigación en Biomedicina, Carrera de Medicina Universidad Central del Ecuador (UCE) Quito EcuadorShow moreShow less
146
days
Ten simple rules for team synthesis in ecological research
Authors
Sarah C. Elmendorf; Gregory E. Maurer; Nicholas J. Lyon; Martha R. Downs; Jalene M. LaMontagne; Kathryn E. Barry; Angel Chen; Laura E. Dee; Stevan Earl; Forest Isbell; Eric R. Sokol; Joanna C. CareyShow moreShow less
Affiliations
1. Institute of Arctic and Alpine Research, University of Colorado Boulder Colorado USA; 2. Environmental Data Initiative New Mexico State University Las Cruces New Mexico USA; 3. Long Term Ecological Research Network Office, National Center for Ecological Analysis and Synthesis University of California Santa Barbara Santa Barbara California USA; 4. Department of Biology University of Missouri‐St. Louis St Louis Missouri USA; 5. Whitney R. Harris World Ecology Center University of Missouri‐St. Louis St Louis Missouri USA; 6. Center for Conservation and Sustainable Development Missouri Botanical Garden St Louis Missouri USA; 7. Ecology and Biodiversity, Department of Biology Utrecht University Utrecht the Netherlands; 8. Yale School of the Environment Yale University New Haven Connecticut USA; 9. Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado USA; 10. Global Institute of Sustainability and Innovation, Arizona State University Tempe Arizona USA; 11. Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota USA; 12. National Ecological Observatory Network (NEON) Boulder Colorado USA; 13. Division of Math, Analytics, Science and Technology Babson College Wellesley Massachusetts USAShow moreShow less
160
days
An efficient Bayesian phylogenetic approach for joint inference of continuous and discrete trait evolution under a state‐dependent Ornstein–Uhlenbeck model
Authors
Priscilla Lau; Bjørn T. Kopperud; John T. Clarke; Dirk Metzler; Sebastian HöhnaShow moreShow less
Affiliations
1. Department of Earth and Environmental Sciences, Paleontology & Geobiology Ludwig‐Maximilians‐Universität München Munich Germany; 2. GeoBio‐Center LMU Ludwig‐Maximilians‐Universität München Munich Germany; 3. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany; 4. Institute for Biodiversity, Ecology and Evolution, Friedrich Schiller University Jena Jena Germany; 5. Division of Evolutionary Biology, Department of Biology Ludwig‐Maximilians‐Universität München Planegg‐Martinsried GermanyShow moreShow less
191
days
sabinaHSBM : An R package for link prediction and network reconstruction using hierarchical stochastic block models
Authors
Herlander Lima; Jennifer Morales‐Barbero; Rubén G. Mateo; Ignacio Morales‐Castilla; Miguel Á. RodríguezShow moreShow less
Affiliations
1. 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 SpainShow moreShow less
184
days
Modelling density surfaces from integrated passive acoustic and point count data streams
Authors
Richard J. Camp; Eric J. Pedersen; Trevor Bak; Amanda Navine; Erika K. Kekiwi; Christopher C. Warren; Seth W. Judge; Patrick J. Hart; Lucas Berio FortiniShow moreShow less
Affiliations
1. 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 USAShow moreShow less
79
days
SANE : An index of anthropogenic noise levels for wildlife research in terrestrial ecosystems
Authors
Matteo Giuliani; Davide Mirante; Luca Francesco Russo; Andrea Zampetti; Luca SantiniShow moreShow less
Affiliations
1. Department of Biology and Biotechnologies ‘Charles Darwin’ Sapienza University of Rome Rome ItalyShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days