Suchergebnisse - "Ecological monitoring"

Theoretical and data-driven models in Ecology

Autoren: Giménez Romero, Àlex

Thesis Advisors: Matias Muriel, Manuel Alberto, López Sánchez, Cristóbal

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Complex systems, Biodiversity loss, Disease modelling, Climate change, Ecological monitoring, Sistemes complexos, Pèrdua de biodiversitat, Modelització d'epidèmies, Canvi climàtic, Monitorització ecològica, Sistemas complejos, Pérdida de biodiversidad, Modelización de epidemias, Cambio climático, Monitorización ecológica, Física de la Matèria Condensada

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/693897

From Asia through America to Europe: Molecular and morphological evidence for a non-indigenous diatom species, Discostella asterocostata (B.Q.Lin, S.Q.Xie & S.X.Cai) Houk & Klee in Hungary and Croatia

Autoren: Stanković, Igor Shemesh, Sára Hanžek, Nikola et al.

Weitere Verfasser: Stanković, Igor Shemesh, Sára Hanžek, Nikola et al.

Quelle: 9:1-26

Schlagwörter: Centric diatoms, ecological monitoring, JDS4, large rivers, metabarcoding, Phytoplankton

Zugangs-URL: https://www.biodiversitylibrary.org/part/433187

Regional ecological security evaluation with subjective and objective weights model based on multi remote sensing observations

Autoren: Jianzhong Lu Jianshu Wang Tianyao Liu et al.

Quelle: Geo-spatial Information Science, Pp 1-20 (2025)

Schlagwörter: QB275-343, analytic hierarchy process (AHP), Ecological monitoring, entropy weighting method (EWM), Mathematical geography. Cartography, GA1-1776, evaluation system, ecological assessment, Geodesy

Zugangs-URL: https://doaj.org/article/c306f91248bb4f4381113a8a89ee0d1c

Improving primate detection using thermal infrared imaging: availability and observer errors in drone surveys of mixed tropical forests

Autoren: Reinegger, Raphael D. Bissessur, Prishnee Meereechpersad, Ishwardev et al.

Weitere Verfasser: Reinegger, Raphael D. Bissessur, Prishnee Meereechpersad, Ishwardev et al.

Quelle: International Journal of Remote Sensing. 46:4345-4373

Schlagwörter: Macaca fascicularis, Sciences de l'environnement & écologie, Environmental sciences & ecology, Sciences du vivant, Detection rate, Ecological monitoring, Mauritius, Unmanned aerial vehicle, Life sciences, Flight parameters

Protecting the Bunce Legacy: Lessons Learned From Safeguarding Long-term Ecological Survey Datasets in Great Britain

Autoren: Wood, Claire M. Metzger, Marc J. Bunce, Robert G.H.

Quelle: Environ Manage

Schlagwörter: data curation, legacy data, data accessibility, data rescue, long-term ecological monitoring, Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40278903
https://nora.nerc.ac.uk/id/eprint/539320/

Transforming bridges into smart infrastructure: a data-driven approach to monitoring bats and promoting sustainable coexistence

Autoren: Jacob Koch Jess Kropczynski Janette Perez-Jimenez et al.

Quelle: Information Research: An International Electronic Journal, Vol 30, Iss iConf (2025)

Schlagwörter: smart infrastructure, wildlife conservation, data visualization, ecological monitoring, Internet of Things (IoT), Bibliography. Library science. Information resources

Zugangs-URL: https://doaj.org/article/b273a82666c34d3db05d8ab12c4961b7

Developing common protocols to measure tundra herbivory across spatial scales

Autoren: Barrio, I. C. Angerbjörn, Anders Jónsdóttir, I. S.

Quelle: Arctic Science. 8(3):638-679

Schlagwörter: ecological monitoring, Herbivory Network, Interactions Working Group (IWG), International Tundra Experiment (ITEX), standardized protocol

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-212048
https://doi.org/10.1139/as-2020-0020

Research Appendix for Managed Forgetting: Evidence Without Consequence

Autoren: Wiggs, Robin

Schlagwörter: environmental governance, agriculture, managed forgetting, biodiversity, groundwater, nitrogen, subsidies, antibiotics, deforestation, ecological monitoring

DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism

Autoren: Jiehui Ke Renbo Luo Guoliang Xu et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Schlagwörter: YOLOv9, Deep learning, Soil fauna, Object detection, Ecological monitoring, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/c61a61ad31e64b0b8c8ab8d757cb02ab

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica

Autoren: Juan Sandino Johan Barthelemy Ashray Doshi et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Schlagwörter: Antarctic specially protected area (ASPA), Bryophyte, Ecological monitoring, Machine learning, Semantic segmentation, Uncrewed aerial vehicle (UAV), Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/0223198182da46d49b30b726c1542c66

A transfer deep residual shrinkage network for bird sound recognition

Autoren: Xiao Chen Zhaoyou Zeng Tong Xu

Quelle: Electronic Research Archive, Vol 33, Iss 7, Pp 4135-4150 (2025)

Schlagwörter: bioacoustics, bird sound recognition, audio signal processing, machine learning, deep learning, transfer learning, deep residual shrinkage network, ecological monitoring, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2688-1594

Zugangs-URL: https://doaj.org/article/48dda6bb95784cb1acc0e4f6f0ff8c83

Omics to Study and Manage Aquatic Environments: A Snapshot From the AquaEcOmics Meeting (Evian‐les‐Bains, 2025)

Autoren: Rimet, Frédéric Lemonnier, Clarisse Alric, Benjamin et al.

Weitere Verfasser: Rimet, Frédéric Lemonnier, Clarisse Alric, Benjamin et al.

Quelle: Molecular Ecology (0962-1083) (Wiley), 2025-09, Vol. 34, N. 17, P. e70041 (7p.)

Schlagwörter: [SDE] Environmental Sciences, metagenomics, metatranscriptomics, metabarcoding, sequence databases, marine, ecological monitoring, ecology, freshwater, eDNA sampling, metabolomic

Dateibeschreibung: application/pdf

Zugangs-URL: https://archimer.ifremer.fr/doc/00968/107982/121308.pdf
https://archimer.ifremer.fr/doc/00968/107982/

Pollination ecology in the tropical Andes: moving towards a cross‐scale approach

Autoren: Cristina Rueda‐Uribe Alexander Chautá Tamsin L. Woodman et al.

Quelle: Biological Reviews.

Schlagwörter: biotic interactions, ecological monitoring, ecosystem functioning, plant–pollinator networks, pollinators, South America

Dateibeschreibung: application/pdf

Digital Guardians of Nature: Emerging AI Technologies in Plant and Animal Surveillance

Autoren: Rajesh Kumar Mishra Divyansh Mishra Rekha Agarwal

Schlagwörter: Artificial Intelligence, Ecological Monitoring, Plant Surveillance, Animal Surveillance, Deep Learning, Machine Learning, Internet of Things (IoT), Remote Sensing, Edge AI, Biodiversity Conservation, Wildlife Monitoring, Ethical AI, Algorithmic Bias, Environmental Sustainability, Conservation Technology, Species Identification, Acoustic Monitoring, Drone Surveillance

Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation

Autoren: Tianyu Song Doan Van Duong Phuong Thi Le et al.

Quelle: Ecological Informatics, Vol 92, Iss , Pp 103518- (2025)

Schlagwörter: Wood species classification, Deep learning, Convolutional neural network, Lightweight models, Ecological monitoring, Vietnamese timber species, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954125005278; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/4257125923264743af8d87a76fca9152

A roadmap for designing a virtual interface to explore a digital twin of the oceans for marine ecosystems monitoring

Autoren: Morane Clavel-Henry Sascha Flögel Daniel M. Toma et al.

Quelle: Ecological Informatics, Vol 92, Iss , Pp 103483- (2025)

Schlagwörter: ecological monitoring, data representation, software functionalities, digital twin of ocean, marine monitoring infrastructure, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954125004923; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/e0cbe82555774af1a153dfd3c35ad77f

SmallFishBD: An extensive image dataset of common native small fish species in Bangladesh for identification and classificationMendeley Data

Autoren: Md Hasanul Ferdaus Rizvee Hassan Prito Masud Ahmed et al.

Quelle: Data in Brief, Vol 63, Iss , Pp 112193- (2025)

Schlagwörter: Aquaculture, Computer vision, Ecological monitoring, Image processing, Machine learning, Marine Biology, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S235234092500914X; https://doaj.org/toc/2352-3409

Zugangs-URL: https://doaj.org/article/42fb93e232434d679823c268cd175275

Supporting offshore wind growth: Automating data analysis in digital aerial surveys to enhance wildlife protection and survey efficiency

Autoren: Ben Bartlett Matheus Santos Petar Trslic et al.

Quelle: Ecological Informatics, Vol 90, Iss , Pp 103242- (2025)

Schlagwörter: Environmental Impact Assessment (EIA), Automated screening systems, Machine learning (ML) in ecology, Marine mammal and avian surveys, Real-time ecological monitoring, Baseline survey accuracy, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954125002511; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/1686740d96e44e52bc864d2a4327e0ba

A lightweight context-aware framework for toxic mushroom detection in complex ecological environments

Autoren: Zhanchen Wei Jiali Wang Haohai You et al.

Quelle: Ecological Informatics, Vol 90, Iss , Pp 103256- (2025)

Schlagwörter: Ecological monitoring, Edge computing for conservation, Toxic species identification, Lightweight object detection, Environmental robustness, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954125002651; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/a876355c76514a19a989b871544c855a

Mamba-based super-resolution and semi-supervised YOLOv10 for freshwater mussel detection using acoustic video camera: A case study at Lake Izunuma, Japan

Autoren: Fan Zhao Decong Xu Zhiyan Ren et al.

Quelle: Ecological Informatics, Vol 90, Iss , Pp 103324- (2025)

Schlagwörter: Deep learning, Ecological monitoring, Mussel distribution map, Object detection, SonarSS, Super-resolution reconstruction, Information technology, T58.5-58.64, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954125003334; https://doaj.org/toc/1574-9541

Zugangs-URL: https://doaj.org/article/3eecd02834124acd9da811c70571d10a