Results 111 to 120 of about 4,056 (255)
Increasing canola plant density reduced flea beetle abundance per plant and increased yield, independent of region or insecticide use, highlighting its potential as a component of integrated pest management. Abstract The crucifer flea beetle, Phyllotreta cruciferae (Goeze), and the striped flea beetle, Phyllotreta striolata (Fabricius) (Coleoptera ...
Shayla Woodland +7 more
wiley +1 more source
Species‐specific PCR primers and PCR‐based assays were designed for the identification of 15 economically important and difficult to distinguish wireworm pests in Canada. PCR specificity testing and performance assessments confirm the accuracy of the assays.
Kathleen Furtado +5 more
wiley +1 more source
Restoring Lateral Connectivity to Anthropogenic Riverscapes: Six Lessons From Stage Zero
ABSTRACT Centuries of river modification, particularly straightening and incision, have severely reduced lateral connectivity between rivers and their floodplains. As a result, Stage 0 riverscapes, characterised by high lateral connectivity (e.g., anastomosing or wetland riverscapes), are now rare in anthropogenic landscapes.
Richard J. Mason +8 more
wiley +1 more source
ABSTRACT The presumptive standards approach to environmental flows offers a method to develop interim guidelines for ecological and social‐cultural flow needs. The approach is based on deriving acceptable percent‐of‐flow limits based on naturalised flows (the absence of depletion or alteration of flow), and it can be an effective precursor to a full ...
Jennifer Lento +6 more
wiley +1 more source
Knee height is often right: evaluating device height effects on camera trapping rate
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
An autonomous network of acoustic detectors to map tiger risk by eavesdropping on prey alarm calls
Tiger population recovery brings with it increased fatalities from human‐tiger conflict. We describe a network of autonomous intelligent passive acoustic sensors that monitor the forest for deer alarm calls as a proxy for tiger risk and provide a risk map to local communities in real‐time.
Arik Kershenbaum +9 more
wiley +1 more source
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
Is Antler Size Driving Evolutionary Success in Cervids?
The hypothesis of aesthetic evolution offers a compelling alternative to traditional view of natural selection by suggesting that trait evaluation can occur independently of immediate survival or reproductive fitness factors. While often viewed as arbitrary or even as detrimental at the individual or population level, aesthetic preferences may function
Simona Bekeraitė, Andrej Spiridonov
openaire +1 more source
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre +6 more
wiley +1 more source
Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage
Camera traps generate large volumes of wildlife footage, but identifying animals to the individual level remains challenging and time‐consuming. Using European pine martens in the Forest of Dean as a case study, we assessed whether citizen scientists could identify individuals from camera trap photos and videos.
Sian E. Green +4 more
wiley +1 more source

