Results 181 to 190 of about 7,144,139 (252)

Human–wildlife coexistence and social context: Evidence from farmer communities in southern Sri Lanka

open access: yesPeople and Nature, EarlyView.
Abstract Studies on human–wildlife interactions (HWI) often focus on conflict mitigation studies, thus overlooking underlying factors that influence community decisions to coexist with wildlife. To address this knowledge gap, we collected empirical evidence of how community interactions with wildlife are shaped by their social contexts.
Anuradhi Dulangi Jayasinghe   +3 more
wiley   +1 more source

Past, present and future of local crop evolution

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Promoting agrobiodiversity is a promising strategy for mitigating the negative effects of climate change on global food security. We highlight the central role evolutionary processes play in harnessing the potential of local crops by integrating genomics, archaeology, ethnobotany and traditional ecological knowledge (TEK).
Nataly Allasi Canales   +6 more
wiley   +1 more source

Sonified Signals From a Compact FT‐ICR Instrument: A Feasibility Study. I—Data Mapping to an Equal‐Tempered Chromatic Scale

open access: yesRapid Communications in Mass Spectrometry, EarlyView.
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Remote Sensing‐Based Identification of Habitat Loss for Herbivorous Waterbirds Driven by Wetland Inundation Alterations

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu   +6 more
wiley   +1 more source

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