Results 191 to 200 of about 233,272 (336)

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard   +9 more
wiley   +1 more source

Stomatal regulation, leaf water relations, and leaf phenology are coordinated in tree species from the Sonoran Desert. [PDF]

open access: yesAoB Plants
Fernández-Molano GE   +4 more
europepmc   +1 more source

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich   +15 more
wiley   +1 more source

Dismantling the genus Tarenna (Rubiaceae: Pavetteae) in Africa and Madagascar, with the description of three new genera

open access: yesTAXON, EarlyView.
Abstract As presently circumscribed, the Paleotropical genus Tarenna, belonging to the tribe Pavetteae (Rubiaceae), comprises about 200 species and has its centres of diversity in tropical Asia and Africa. Previous molecular phylogenetic studies of the tribe revealed the polyphyly of Tarenna, suggesting that the genus needs to be recircumscribed ...
Petra De Block   +3 more
wiley   +1 more source

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