Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
18 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers
AuthorsGian Mario Sangiovanni; Giovanna Jona Lasinio; Daniele Poggio; Gianluca Mastrantonio; Alessio Pollice; Arnold Rakaj; Midhun Mohan; Stefano Moro; Edoardo Casoli; Daniele Ventura
Affiliations1. Department of Statistical Sciences University of Rome ‘La Sapienza’ Rome Italy; 2. Department of Mathematical Sciences ‘G. L. Lagrange’ Politecnico di Torino Torino Italy; 3. Department of Economics and Finance Università degli Studi di Bari Aldo Moro Bari Italy; 4. Experimental Ecology and Aquaculture Laboratory, Department of Biology University of Rome Tor Vergata Rome Italy; 5. Ecoresolve San Francisco CA USA; 6. Department of Integrative Marine Ecology (EMI) Stazione Zoologica Anton Dohrn Rome Italy; 7. Department of Environmental Biology University of Rome ‘La Sapienza’ Rome Italy
Modelling forest dynamics using integral projection models and repeat lidar
AuthorsAlice Rosen; Robin Battison; Christina M. Hernández; Oliver G. Spacey; Jessica McLean; Suzanne M. Prober; Samuel J. L. Gascoigne; Sean McMahon; Tommaso Jucker; Roberto Salguero‐Gómez
Affiliations1. Department of Biology University of Oxford South Parks Road Oxford OX1 3EL UK; 2. School of Biological Sciences University of Bristol 24 Tyndall Avenue Bristol BS8 1TQ UK; 3. CSIRO Environment Canberra ACT 2601 Australia; 4. School of Biological Sciences University of Aberdeen Aberdeen AB24 2TZ UK; 5. Smithsonian Environmental Research Center 647 Contees Wharf Road Edgewater MD 21037‐0028 USA; 6. Forest Global Earth Observatory Smithsonian Tropical Research Institute Panama City Panama
Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data
AuthorsClaire McGinnity; Connor C.G. Bamford; Nathan Fenney; Andrew Fleming; Jaume Forcada; Michael S. Tift; Luis A. Hückstädt; Daniel P. Costa; Peter T. Fretwell
Affiliations1. British Antarctic Survey Natural Environmental Research Council (NERC) High Cross, Madingley Road CB3 0ET Cambridge UK; 2. Department of Biology and Marine Biology University of North Carolina Wilmington Wilmington North Carolina USA; 3. Centre for Ecology and Conservation, Faculty of Environment, Science and Economy University of Exeter Penryn Campus Cornwall TR10 9FE UK; 4. Institute of Marine Sciences, University of California 115 McAllister Way Santa Cruz California 95060 USA; 5. Department of Ecology and Evolutionary Biology University of California, Santa Cruz Santa Cruz California USA
Monitoring feral pigs ( Sus scrofa ): Complementarity between autonomous sensing methods increases detection probability
AuthorsMarina D. A. Scarpelli; Stewart Macdonald; Maryam Golchin; Simon Linke; Jens G. Froese
Affiliations1. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Health & Biosecurity Brisbane Queensland Australia; 2. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Health & Biosecurity Townsville Queensland Australia; 3. Cambrian Ecology Townsville Queensland Australia; 4. Australian Institute of Marine Science (AIMS), Data Science and Research Services Townsville Queensland Australia; 5. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Environment Brisbane Queensland Australia
Knee height is often right: evaluating device height effects on camera trapping rate
AuthorsJorge Sereno‐Cadierno; Tim R. Hofmeester; Marcus Becker; Alice Bernard; Lizette Moolman; Hervé Fritz; Pelayo Acevedo
Affiliations1. Institute for Game and Wildlife Research, IREC (CSIC‐UCLM‐JCCM) Ciudad Real Spain; 2. Department of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden; 3. Alberta Biodiversity Monitoring Institute Edmonton Alberta Canada; 4. Institute for Global Change Biology, School for Environment and Sustainability University of Michigan Ann Arbor Michigan 48109 USA; 5. Scientific Services, South African National Parks Knysna South Africa; 6. REHABS, International Research Laboratory, French National Centre for Scientific Research (CNRS) University of Lyon 1 Lyon France; 7. Sustainability Research Unit Nelson Mandela University George South Africa
Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox ( Ovibos moschatus )
AuthorsSimon Durand; Samuel Foucher; Alexandre Delplanque; Joëlle Taillon; Jérôme Théau
Affiliations1. Department of Applied Geomatics Université de Sherbrooke Sherbrooke Quebec J1K 2R1 Canada; 2. Quebec Centre for Biodiversity Science (QCBS), Stewart Biology, McGill University Montréal Quebec H3A 1B1 Canada; 3. TERRA Teaching and Research Centre (Forest Is Life), Uliège, Gembloux Agro‐Bio Tech 2 Passage des Déportés Gembloux 5030 Belgium; 4. Direction générale de la gestion de la faune, Ministère de l'Environnement, de la Lutte contre les Changements Climatiques, de la Faune et des Parcs (MELCCFP) 880 Chemin Sainte‐Foy Québec Quebec G1S 4X4 Canada
Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience
AuthorsJessica McLean; Tommaso Jucker; Alice Rosen; Sean M. McMahon; Roberto Salguero‐Gómez
Affiliations1. Department of Biology University of Oxford Oxford UK; 2. School of Biological Sciences University of Bristol Bristol UK; 3. Smithsonian Environmental Research Center Edgewater Maryland USA
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
AuthorsRylan J. Command; Shreya Nemani; Benjamin Misiuk; Mehrdad Hajibabaei; Nicole Fahner; Emily Porter; Greg Singer; Beverly McClenaghan; Katleen Robert
Affiliations1. School of Ocean Technology Fisheries and Marine Institute of Memorial University of Newfoundland St John's Newfoundland Canada; 2. Department of Geography Memorial University of Newfoundland St John's Newfoundland Canada; 3. Department of Earth Science Memorial University of Newfoundland St John's Newfoundland Canada; 4. Centre for Environmental Genomics Applications St John's Newfoundland Canada; 5. Centre for Biodiversity Genomics & Department of Integrative Biology University of Guelph Guelph Ontario Canada; 6. David Suzuki Foundation Vancouver British Columbia Canada
From snapshots to continuous estimates: Augmenting citizen science with computer vision for fish monitoring
AuthorsZhongqi Chen; Timm Haucke; Sara Beery; Keven Bennett; Austin Powell; Lydia Zuehsow; Robert Vincent; Linda Deegan
Affiliations1. Woodwell Climate Research Center 149 Woods Hole Rd Falmouth Massachusetts 02540 USA; 2. Massachusetts Institute of Technology. Computer Science & Artificial Intelligence Laboratory 2 Vassar St Cambridge Massachusetts 02139 USA; 3. Massachusetts Institute of Technology Sea Grant Program 12 Emily St Cambridge Massachusetts 02139 USA; 4. Intuit 700 Coast Ave Mountain View USA; 5. MIT Lincoln Laboratory 244 Wood St Lexington Massachusetts 02421 USA
Big Bird: A global dataset of birds in drone imagery annotated to species level
AuthorsJoshua P. Wilson; Tatsuya Amano; Thomas Bregnballe; Alejandro Corregidor‐Castro; Roxane Francis; Diego Gallego‐García; Jarrod C. Hodgson; Landon R. Jones; César R. Luque‐Fernández; Dominik Marchowski; John McEvoy; Ann E. McKellar; W. Chris Oosthuizen; Christian Pfeifer; Martin Renner; José Hernán Sarasola; Mateo Sokač; Roberto Valle; Adam Zbyryt; Richard A. Fuller
Affiliations1. School of the Environment The University of Queensland, St Lucia Brisbane Queensland 4072 Australia; 2. Department of Ecoscience Aarhus University C.F. Møllers Allé 8 DK‐8000 Aarhus Denmark; 3. Department of Bioscience Aarhus University Grenåvej 14 DK‐8410 Rønde Denmark; 4. Dipartimento di Biologia Università degli Studi di Padova via U. Bassi 58/B I‐35131 Padova Italy; 5. Centre for Ecosystem Science University of New South Wales Sydney New South Wales 2052 Australia; 6. Centro para el Estudio y Conservación de las Aves Rapaces en Argentina (CECARA), Facultad de Ciencias Exactas y Naturales Universidad Nacional de La Pampa Avda. Uruguay 151 6300 Santa Rosa La Pampa Argentina; 7. Instituto de las Ciencias de la Tierra y Ambientales de La Pampa (INCITAP) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Calle Rivadavia 236 6300 Santa Rosa La Pampa Argentina; 8. School of Biological Sciences University of Adelaide Adelaide South Australia Australia; 9. Department of Wildlife, Fisheries, and Aquaculture Mississippi State University Mississippi State Mississippi 39762 USA; 10. Universidad Nacional de San Agustín de Arequipa Arequipa Peru; 11. Ornithological Station, Museum and Institute of Zoology Polish Academy of Sciences Gdańsk Poland; 12. CSIRO Environment Australian Tropical Science and Innovation Precinct Townsville Queensland Australia; 13. Wildlife Research Division, Environment and Climate Change Canada Saskatoon Saskatchewan Canada; 14. Centre for Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences University of Cape Town Cape Town 7701 South Africa; 15. Thuringian Institute of Sustainability and Climate Protection (ThINK) Hainstr. 1a 07745 Jena Germany; 16. Tern Again Consulting 811 Ocean Drive Loop Homer Alaska 99603 USA; 17. Department of Clinical Medicine Aarhus University Brendstrupgårdsvej 21A 8200 Aarhus Denmark; 18. Algebra Bernays University Zagreb Croatia; 19. Rialto San Polo 571 30125 Venice Italy; 20. Doctoral School of Exact and Natural Sciences University of Białystok Konstantego Ciołkowskiego 1K 15‐245 Białystok Poland
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