Results 121 to 130 of about 1,520,610 (235)

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

Pest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila, Luisa María Díaz‐Aranda, José Manuel Fernández‐Pereira, Salvador Rebollo   +3 more
wiley   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

Non‐Physical Barrier Design and Environmental Conditions Alter Routing and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Sacramento‐San Joaquin River Delta

River Research and Applications, EarlyView.
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin, Summer M. Burdick, Russell W. Perry   +2 more
wiley   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Knee height is often right: evaluating device height effects on camera trapping rate

Remote Sensing in Ecology and Conservation, EarlyView.
Camera trap deployment height can introduce systematic biases in detection trapping rates across species of different body sizes. Combining 172 paired sampling points in five experiments across Europe, North America and Africa, our results show that low cameras significantly increase detections of small‐ and medium‐sized species, whereas high cameras ...
Jorge Sereno‐Cadierno, Tim R. Hofmeester, Marcus Becker, Alice Bernard, Lizette Moolman, Hervé Fritz, Pelayo Acevedo   +6 more
wiley   +1 more source

Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania. [PDF]

Sci Data, 2023
Leirs H, Kirkpatrick L, Sluydts V, Sabuni C, Borremans B, Katakweba A, Massawe A, Makundi R, Mulungu L, Machang'u R, Mariën J.   +10 more
europepmc   +1 more source

Integration of mark-recapture and acoustic detections for unbiased population estimation in animal communities. [PDF]

Ecology, 2022
Jarrett C, Haydon DT, Morales JM, Ferreira DF, Forzi FA, Welch AJ, Powell LL, Matthiopoulos J.   +7 more
europepmc   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Close-kin mark-recapture methods to estimate demographic parameters of mosquitoes. [PDF]

PLoS Comput Biol, 2022
Sharma Y, Bennett JB, Rašić G, Marshall JM.   +3 more
europepmc   +1 more source

Monitoring feral pigs (Sus scrofa): Complementarity between autonomous sensing methods increases detection probability

Remote Sensing in Ecology and Conservation, EarlyView.
Invasive alien species are a major threat for biodiversity worldwide and effective monitoring is paramount to inform management. In this study we used a multi‐season occupancy model to assess probability of detection between camera traps and passive acoustic recorders for feral pigs (Sus scrofa) during 1 year of data collection.
Marina D. A. Scarpelli, Stewart Macdonald, Maryam Golchin, Simon Linke, Jens G. Froese   +4 more
wiley   +1 more source