Results 101 to 110 of about 11,222 (256)

Dependence-Robust Confidence Intervals for Capture-Recapture Surveys. [PDF]

J Surv Stat Methodol, 2023
Sun J, Van Baelen L, Plettinckx E, Crawford FW.   +3 more
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

The Melodious Warbler (Hippolais polyglotta) at a constant-effort site in northwestern Italy: phenology, biometry, productivity and survival rate

Rivista Italiana di Ornitologia - Research in Ornithology
Capture-mark-recapture data for the Melodious Warbler (Hippolais polyglotta) were collected at a ringing station in northwestern Italy (Villalvernia, AL).
Giovanni Boano, Gloria Ramello, Silvio Varagnolo, Irene Pellegrino   +3 more
doaj   +1 more source

A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Open Woodland and Sub‐Alpine Woodland Ecosystems

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede, Karin Reinke, Trung H. Nguyen, Simon Jones   +3 more
wiley   +1 more source

Rcapture: Loglinear Models for Capture-Recapture in R

Journal of Statistical Software, 2007
This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros
Sophie Baillargeon, Louis-Paul Rivest
doaj  

Response to ‘Improving abundance estimation by combining capture–recapture and presence–absence data: Example with a large carnivore’

Ecological Solutions and Evidence
A key area of research in ecological statistics involves combining data sources from multiple streams to improve population estimates. One such model attempts to integrate capture–recapture and presence–absence data to estimate the population size of ...
Jack H. W. Thomas, Simon J. Bonner, Laura L. E. Cowen   +2 more
doaj   +1 more source

Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz, Lincoln R. Best, Oksana Ostroverkhova, Andony P. Melathopoulos, Timothy L. Warren   +4 more
wiley   +1 more source

Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps generate large volumes of wildlife footage, but identifying animals to the individual level remains challenging and time‐consuming. Using European pine martens in the Forest of Dean as a case study, we assessed whether citizen scientists could identify individuals from camera trap photos and videos.
Sian E. Green, Philip A. Stephens, Josie Bridges, Catherine M. McNicol, Russell A. Hill   +4 more
wiley   +1 more source

Massachusetts Prevalence of Opioid Use Disorder Estimation Revisited: Comparing a Bayesian Approach to Standard Capture-Recapture Methods. [PDF]

Epidemiology, 2023
Wang J, Doogan N, Thompson K, Bernson D, Feaster D, Villani J, Chandler R, White LF, Kline D, Barocas JA.   +9 more
europepmc   +1 more source