Results 121 to 130 of about 60,128 (260)

Matching habitat choice could be brightness‐based instead of hue‐based in green‐brown polymorphic grasshoppers

open access: yesOikos, EarlyView.
Some prey species have evolved background matching, that is they resemble their surrounding environment in terms of colour and/or brightness. When prey populations inhabit patchy environments, they may even have evolved specialised phenotypes: each phenotype matching a specific subset of patches.
Lilian Cabon, Holger Schielzeth
wiley   +1 more source

Digital surveillance of animals and nature recovery

open access: yesPeople and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

Range‐wide sampling reveals cryptic lineages but largely conserved mycorrhizal associations in the Japanese fairy lantern Thismia kobensis

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The jewel‐like flowers of Thismia are as rare as they are beautiful, often recorded from only a single site per species. Access to 15 populations of T. kobensis has enabled an uncommon, range‐wide assessment of morphology, genetics, and fungal partners. Our analyses showed that T.
Kenji Suetsugu   +4 more
wiley   +1 more source

Transcriptomic stress responses in Vaccinium spp. F1 hybrids: Implications for temperature‐resilient cranberry breeding using a crop wild relative

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Climate extremes threaten the sustainability of cranberry production, a culturally and economically important North American crop. This study demonstrates that wild cranberries (Vaccinium oxycoccos) harbor genetic variation that may enhance cold stress resilience when introduced into cultivated cranberry through hybridization.
Audrey Dickinson   +5 more
wiley   +1 more source

Management and incipient domestication of Chamaedorea tepejilote in agroforestry systems in Mexico

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Native wild plants are key elements in addressing global biodiversity loss and supporting sustainable food systems. We investigated how rural communities in Mexico manage Chamaedorea tepejilote, a wild palm with edible male inflorescences, by combining ethnobotanical, genetic, morphological and ecological approaches.
Viviana Andrade   +7 more
wiley   +1 more source

Exploding Bridgewire (EBW) Detonators: An Example of Synergistic Multiphysics

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Exploding bridgewire (EBW) detonators are highly temporally reproducible explosive devices that require the rapid discharge of a high‐voltage capacitance to operate and so are immune to most of the accidental hazards associated with traditional electric detonators.
P. J. Rae   +3 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

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