Results 61 to 70 of about 4,493 (204)

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

Ghostbusting—Reducing bias due to identification errors in spatial capture‐recapture histories

Methods in Ecology and Evolution
Identifying individuals is key to estimating population sizes by spatial capture–recapture, but identification errors are sometimes made. The most common identification error is the failure to recognise a previously detected individual, thus creating a ...
Abinand Reddy Kodi, Jasmin Howard, David Louis Borchers, Hannah Worthington, Justine Shanti Alexander, Purevjav Lkhagvajav, Gantulga Bayandonoi, Munkhtogtokh Ochirjav, Sergelen Erdenebaatar, Choidogjamts Byambasuren, Nyamzav Battulga, Örjan Johansson, Koustubh Sharma   +12 more
doaj   +1 more source

Sex‐specific population dynamics of ocelots in Belize using open population spatial capture–recapture

Ecosphere, 2019
We used open population, spatial capture–recapture (SCR) models to estimate sex‐specific density, survival, per capita recruitment, and population growth rate of ocelots (Leopardus pardalis) at five sites in Belize with up to 12 yr of data per site. Open
Christopher B. Satter, Ben C. Augustine, Bart J. Harmsen, Rebecca J. Foster, Marcella J. Kelly   +4 more
doaj   +1 more source

Riparian Failure: Damming and Flow Stabilization Exclude Cottonwood Colonization Along a Dryland River

River Research and Applications, EarlyView.
ABSTRACT The Marias River flows from Glacier National Park through northcentral Montana, and into the Missouri River. Annual flows gradually declined from 1902 to 2024 (~3.2%/decade) and the 1952 Tiber Dam and Lake Elwell reservoir were operated to attenuate peak flows and stabilize downstream flows year‐round.
Stewart B. Rood, Lori A. Goater
wiley   +1 more source

Spatial capture‐recapture can improve environmental impact assessments for large carnivores

Ecological Solutions and Evidence
Environmental Impact Assessments (EIAs) for large carnivores frequently rely on summary statistics or relative abundance indices to evaluate the effects of infrastructure development on predator populations.
Gonçalo Ferrão da Costa, Miguel Mascarenhas, Carlos Fonseca, Chris Sutherland   +3 more
doaj   +1 more source

A flexible and efficient Bayesian implementation of point process models for spatial capture-recapture data. [PDF]

Ecology, 2023
Zhang W, Chipperfield JD, Illian JB, Dupont P, Milleret C, de Valpine P, Bischof R.   +6 more
europepmc   +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

Effect of spatial overdispersion on confidence intervals for population density estimated by spatial capture–recapture

Peer Community Journal
Spatially explicit capture–recapture models are used widely to estimate the density of animal populations. The population is represented by an inhomogeneous Poisson point process, where each point is the activity centre of an individual and density ...
Efford, Murray G., Fletcher, David
doaj   +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

Integrating telemetry data into spatial capture–recapture modifies inferences on multi‐scale resource selection

Ecosphere, 2018
Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives.
Daniel W. Linden, Alexej P. K. Sirén, Peter J. Pekins   +2 more
doaj   +1 more source