Results 221 to 230 of about 118,644 (335)

Patterns and Drivers of Pest and Disease Occurrence in UK Treescapes. [PDF]

open access: yesGlob Chang Biol
Stewart PS   +7 more
europepmc   +1 more source

Picea Glehnii

open access: yesBulletin of popular information - Arnold Arboretum, Harvard University., 1916
openaire   +2 more sources

Context‐aware UAV LiDAR reveals forest structure and improves tree diameter estimates in subalpine forest

open access: yesEcological Solutions and Evidence, Volume 7, Issue 2, April–June 2026.
In this study we show how, in natural forests, tree heights adapt across environmental gradients as a response to environmental and biotic factors. Awareness of such local adaptations can be encoded into predictive features and leveraged by shallow learning methods to enhance predictions of tree diameter and tree‐level aboveground biomass.
Jaime C. Revenga   +7 more
wiley   +1 more source

Free rein: Are feral horses competing with native ungulates in British Columbia?

open access: yesThe Journal of Wildlife Management, Volume 90, Issue 3, April 2026.
We investigated little‐studied feral horses in west‐central British Columbia, Canada, as a potential competitor for native moose and mule deer. We did not find strong evidence that feral horses exclude moose or deer from habitat or resources at a large landscape scale or smaller spatiotemporal patch scale.
Katie Tjaden‐McClement   +7 more
wiley   +1 more source

Semiochemical interruption of Dendroctonus rufipennis (Coleoptera: Curculionidae) in Alaska and Colorado, U.S. [PDF]

open access: yesJ Econ Entomol
Audley JP   +6 more
europepmc   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

open access: yesTAXON, Volume 75, Issue 2, April 2026.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman   +2 more
wiley   +1 more source

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