Results 171 to 180 of about 16,730 (288)

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

Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling. [PDF]

Nat Commun, 2020
Wang H, Wu C, Ciais P, Peñuelas J, Dai J, Fu Y, Ge Q.   +6 more
europepmc   +1 more source

Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean

Remote Sensing in Ecology and Conservation, EarlyView.
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu, Grant van der Heever, Charles von der Meden, Hannah Truter, Stephen J. Lamberth, Ofer Gon   +5 more
wiley   +1 more source

Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016. [PDF]

Sci Rep, 2020
Liu L, Zhang X.
europepmc   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Variable Fall Climate Conditions on Carbon Assimilation and Spring Phenology of Young Peach Trees. [PDF]

Plants (Basel), 2020
Lawrence BT, Melgar JC.
europepmc   +1 more source

Retrospective image analysis for long‐term demography using Google Earth imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa, Garrett Cohen, Roberto Salguero‐Gómez   +2 more
wiley   +1 more source

Provenance-Specific Chilling and Forcing Requirements Shape Spring Phenology in Three European Temperate Tree Species. [PDF]

Glob Chang Biol
Wu Z, Walde MG, Beil I, Klisz M, Vitasse Y.   +4 more
europepmc   +1 more source

Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats

Remote Sensing in Ecology and Conservation, EarlyView.
Illustrated workflow of the proposed citizen‐to‐robot monitoring pipeline: (i) expert‐validated citizen observations are translated into AI models, (ii) deployed on a ground‐based robotic platform for proximal sensing of coastal dune habitats, (iii) enabling standardized detection of ecological targets (e.g., Pancratium maritimum & Brithys crini), and (
Giovanni Di Lorenzo, Simonetta Bagella, Micaela del Valle Rasino, Maria Laura Carranza, Manolo Garabini, Franco Angelini   +5 more
wiley   +1 more source

Quantifying the trade-off between spring phenology and lethal frost risk: a meta-analysis. [PDF]

Nat Commun
Yan Z, Chen C, Liu Y, Li Y, Liu H, Wang H, Yan T, Jing X, Ren S, Zi H, Shi Y, Wang T, He JS.   +12 more
europepmc   +1 more source