Results 21 to 30 of about 28,301 (150)
Tropical montane landscapes harbor diverse flora and fauna, and many species there are ecological specialists with narrow elevational distributions, limited geographic ranges, and small global populations.
Jill E. Jankowski +4 more
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The genus Otraleus Günther, 1935 is recorded from the Philippines for the first time. Four new species, Otraleus bellemansae sp. nov., O. applai sp. nov., O. christianae sp. nov. and O. elizabethae sp.
Joachim Bresseel, Jérôme Constant
doaj +1 more source
Accurate forest cover mapping is essential for monitoring the status of forest extent in Southeast Asia. However, tropical areas frequently experience cloud cover, resulting in invalid or missing data in thematic maps.
Shili Meng +3 more
doaj +1 more source
Behind the fog: Forest degradation despite logging bans in an East African cloud forest
Habitat destruction and deterioration are amongst the main drivers of biodiversity loss. Increasing demand for agricultural products, timber and charcoal has caused the rapid destruction of natural forests, especially in the tropics.
Mike Teucher +7 more
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Two new species of Ribes (Grossulariaceae) from Peru
The genus Ribes (Grossulariaceae) has a center of diversity in the tropical Andes, especially in Peru. Several new species have been discovered in recent years and additional collections keep turning up material of undescribed species.
Maximilian Weigend, Ana Andrade-Galán
doaj +1 more source
This study was aimed at evaluating the physicochemical stability and antimicrobial potential of essential oils (EOs) from Cymbopogon citratus (lemon verbena), Citrus reticulata (mandarin), and Peperomia inaequalifolia (congona) incorporated into an ...
Robin Oblitas-Delgado +9 more
doaj +1 more source
Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests
Clouds are critical to the biodiversity and function of Tropical Montane Cloud Forests (TMCF). These ecosystems provide vital services to humanity and are considered hotspots of endemism, given that the number of species is restricted to their microclimates. Cloudiness (e.g., the fraction of low-clouds) in these ecosystems is projected to decline owing
J. Antonio Guzmán Q. +2 more
openaire +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Forest-cloud interactions exhibit striking regional variations that challenge universal assumptions about forest atmospheric services. Using satellite data (2000–2022) and multiple analytical approaches including correlation analysis, propensity score ...
Zhaohui Yang +3 more
doaj +1 more source
AbstractThis chapter analyses the climatic conditions prevailing at sites where tropical montane cloud forests (TMCF) have been reported. Spatial data‐sets of climate were used to describe the climate at 477 cloud forest sites identified by United Nations Environment Program (UNEP)‐WCMC. Some 85% of the sites are found at altitudes between 400 and 2800
Jarvis, Andy, Mulligan, M.
openaire +2 more sources

