Results 51 to 60 of about 301,945 (302)

Definition criteria determine the success of old-growth mapping

Ecological Indicators
Old-growth forests have been widely studied for decades. The extreme diversity of old forest characteristics has inspired an equally diverse set of old-growth definitions, and makes mapping old-growth difficult across large areas and different forest ...
Jamis M. Bruening, Ralph O. Dubayah, Neil Pederson, Benjamin Poulter, Leonardo Calle   +4 more
doaj   +1 more source

Vital rates and their multidecadal trends in the fir-beech old-growth forest of Badínsky prales

Journal of Forest Science, 2023
The study aimed to quantify annual mortality and recruitment rates on permanent research plots in the Badínsky prales old-growth forest. The data measured in four stands originate from six censuses, which together cover a 48-year period.
Ladislav Šumichrast, Peter Jaloviar, Matúš Komendák, Samuel Targoš, Stanislav Kucbel   +4 more
doaj   +1 more source

Reappearance of old growth elements in lowland woodlands in northern Belgium : do the associated species follow? [PDF]

, 2012
The forest cover of the western European lowland plain has been very low for centuries. Remaining forests were intensively managed, and old-growth elements like veteran trees and coarse woody debris became virtually absent.
Crevecoeur, Luc, De Keersmaeker, Luc, Govaere, Leen, Köhler, Frank, Thomaes, Arno, Vandekerkhove, Kris, Verheyen, Kris, Walleyn, Ruben   +7 more
core   +1 more source

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

FEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner, Hainan Zhu, Carol Christine Bosholm, Heuy‐Ching Wang, Tracy Criswell, Anthony Atala, Jian‐Xing Ma, Yuanyuan Zhang   +7 more
wiley   +1 more source

Patterns of biodiversity response along a gradient of forest use in Eastern Amazonia, Brazil [PDF]

PeerJ, 2020
The preservation of tropical forests is increasingly at risk, including forests located within human-modified landscapes that retain high conservation value. People modify and interact with these landscapes through a wide range of uses.
Sérgio G. Milheiras, Marcelino Guedes, Fernando Augusto Barbosa Silva, Perseu Aparício, Georgina M. Mace   +4 more
doaj   +2 more sources

Tree growth acceleration and expansion of alpine forests: The synergistic effect of atmospheric and edaphic change. [PDF]

, 2016
Many forest ecosystems have experienced recent declines in productivity; however, in some alpine regions, tree growth and forest expansion are increasing at marked rates.
Horwath, William R, Liang, Qianlong, Silva, Lucas CR, Sun, Geng, Wu, Ning, Zhu-Barker, Xia   +5 more
core   +2 more sources

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Past, present, and future old growth in frequent-fire Conifer Forests of the Western United States [PDF]

, 2007
Old growth in the frequent-fire conifer forests of the western United States, such as those containing ponderosa pine (Pinus ponderosa), Jeffrey pine (P.
Abella, Scott R., Covington, W. Wallace, Fule, Peter Z., Lentile, Leigh B., Morgan, Penelope, Sanchez Meador, Andrew J.   +5 more
core   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A meta-analysis of functional group responses to forest recovery outside of the tropics [PDF]

, 2015
© 2015, Society for Conservation Biology. Both active and passive forest restoration schemes are used in degraded landscapes across the world to enhance biodiversity and ecosystem service provision.
Aerts, Audino, Barton, Benayas, Bull, Bullock, Burnham, Buse, Cardinale, Chazdon, Chazdon, Crockatt, Curran, da Silva, Diaz, Dirzo, Doncaster, Duguid, Dunn, Ellis, FAO (Food and Agriculture Organization), Ferris, Fischer, Fletcher, Flynn, Gurevitch, Hedges, Heilmann-Clausen, Holl, Humphrey, Humphrey, Hurlbert, Johansson, Knops, Koricheva, Laliberte, Lange, Lassauce, Lavorel, Lindenmayer, Lindenmayer, Lindenmayer, Lonsdale, Magurran, Maron, Martin, Marvier, Morrison, Nakagawa, Nascimbene, Newton, Pullin, R Core Team., Schielzeth, SER [Society for Ecological Restoration], Simard, Smith, Solymos, Speight, Sterne, Taboada, Twieg, Viechtbauer, Wardle, Warnaffe, Wickham, Zvereva   +66 more
core   +1 more source