Results 151 to 160 of about 16,314 (251)

Integrating Multiple-Covariate Distance Sampling and Habitat Modeling to Inform Conservation of the Asian Houbara in Central Iran. [PDF]

Ecol Evol
Miranzadeh-Mahabadi R, Hemami MR, Bashari H, Abyareh M, Ahmadi M.   +4 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

The fence interface effect: how altered herbivore movement creates a soil bacterial diversity hotspot. [PDF]

Mov Ecol
Zhao X, Hou F.
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

Insights into Sudbury's deep architecture: a revised geodynamic model for Earth's largest ore-bearing impact structure. [PDF]

Sci Rep
Haugaard R, Spray JG, Adetunji AQ, Vayavur R, Hamilton MA, Snyder D, Cheraghi S, Ayer J, Henry K, Jørgensen TRC, Serafini G, Smith R, Gibson L.   +12 more
europepmc   +1 more source

Accounting for animal movement during aerial imaging surveys

Remote Sensing in Ecology and Conservation, EarlyView.
Animals are not stationary during aerial surveys; if their movements are related to the movement of the aerial platform, then bias can be introduced into subsequent population count estimates. We sought to establish a framework for assessing the impacts of animal movement on count error and platform bias by comparing aggregated counts and relative ...
Rowan L. Converse, Christopher D. Lippitt, Steven E. Sesnie, David R. Stewart, Matthew J. Butler, Grant M. Harris   +5 more
wiley   +1 more source

Periodicity in Steller's eider (Polysticta stelleri) population size and density on the Arctic Coastal Plain, Alaska, revealed using generalized additive models. [PDF]

PLoS One
Osnas EE.
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

Spatial distribution of early life stages of fish along horizontal and vertical gradients in the canary current large marine ecosystem. [PDF]

J Plankton Res
Mouiret O, Abdelouahab H, Tiedemann M, Goliat Y, Ettahiri O, Baibai T, Errhif A, Isari S.   +7 more
europepmc   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source