Results 131 to 140 of about 33,100 (276)

Long‐term impact of exposure to Royal Guard, a pyriproxyfen‐based bed net, on pyrethroid‐resistant malaria vectors from Cameroon using DNA‐based metabolic resistance markers

open access: yesPest Management Science, Volume 81, Issue 4, Page 2165-2180, April 2025.
We used recently detected P450 DNA‐based markers of pyrethroid resistance in both Anopheles funestus and Anopheles gambiae to demonstrate that although pyrethroid‐resistant mosquitoes have higher ability to survive and live longer after exposure to Royal Guard, this net significantly affects their lifespan, blood feeding ability and interestingly ...
Emilie S Ngongang‐Yipmo   +8 more
wiley   +1 more source

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

open access: yesPest 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   +3 more
wiley   +1 more source

The continuing significance of chiral agrochemicals

open access: yesPest Management Science, Volume 81, Issue 4, Page 1697-1716, April 2025.
In the time frame 2018–2023, around 43% of the 35 chiral agrochemicals introduced to the market (herbicides, fungicides, insecticides, acaricides, and nematicides) contain one or more stereogenic centers in the molecule, and almost 69% of them have been marketed as racemic mixtures of enantiomers or stereoisomers.
Peter Jeschke
wiley   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska   +7 more
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command   +8 more
wiley   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan   +12 more
wiley   +1 more source

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

open access: yesRemote 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   +6 more
wiley   +1 more source

White-Tailed Deer Baiting Altered Black Bear Site Use but Not Movements or Range Size. [PDF]

open access: yesEcol Evol
Wehr NH   +5 more
europepmc   +1 more source

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

open access: yesRemote 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   +4 more
wiley   +1 more source

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