Results 41 to 50 of about 276,691 (330)

Environmental contingency of forest-cloud interactions: Contrasting atmospheric enhancement and suppression mechanisms across Chinese climate gradients

open access: yesTrees, Forests and People
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

Two new species of Ribes (Grossulariaceae) from Peru

open access: yesRevista Peruana de Biología, 2023
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

The climate of cloud forests

open access: yesHydrological Processes, 2010
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

Tropical montane cloud forest [PDF]

open access: yes, 2007
Tropical montane cloud forests (TMCFs) are covered in clouds and fog, by definition, and are abundant with mosses, lichens and epiphytes. The hydrology of these ecosystems is poorly understood due to the extreme wetness, complex topography, and ...
Wård, Ylva
core  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
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

Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana [PDF]

open access: yes, 2016
Degradation, a reduction of the ecosystem’s capacity to supply goods and services, is widespread in tropical forests and mainly caused by human disturbance.
Cazzolla Gatti, R.   +11 more
core   +1 more source

Harmonizing the Pyrene and Ether Groups in Covalent Triazine Polymers for Highly Effective H2O2 Photosynthesis via One‐Step Two‐Electron Oxygen Reduction

open access: yesAdvanced Functional Materials, EarlyView.
The pyrene and ether groups are incorporated into the covalent triazine polymer (CTP) structure. The synergistic effect of the two functional groups endows CTP with better electron transfer, light absorption, and oxygen activation properties. An impressive apparent quantum yield (13.2% @420 nm) and a remarkable solar‐to‐chemical conversion efficiency ...
Chong Wang   +10 more
wiley   +1 more source

The herpetofauna of the cloud forests of Honduras [PDF]

open access: yes, 2010
The cloud forest amphibians and reptiles constitute the most important herpetofaunal segment in Honduras, due to the prevalence of endemic and Nuclear Middle American-restricted species.
McCranie, James R., Wilson, Larry David
core  

TreeWatch.net : a water and carbon monitoring and modeling network to assess instant tree hydraulics and carbon status [PDF]

open access: yes, 2016
TreeWatch.net is an initiative that has been developed to watch trees grow and function in real-time. It is a water- and carbon-monitoring and modeling network, in which high quality measurements of sap flow and stem diameter variation are collected on ...
De Pauw, Dirk   +2 more
core   +2 more sources

Full‐Spectrum Solar Harvesting and Desalination Enabled by Supra‐Nano Amorphous Ruthenium Dioxide – Mineral Composites

open access: yesAdvanced Functional Materials, EarlyView.
A mineral‐based supra‐nano amorphous ruthenium dioxide composite (a‐Ru0.5‐AM) was designed, achieving 97% broadband solar absorption. Under one sun, it reaches 87.91 ± 0.32 °C with a distinct thermal buffering effect that favors thermal confinement.
Yunchen Long   +13 more
wiley   +1 more source

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