Results 201 to 210 of about 32,924 (267)

From Analysis to Assessment: Machine Learning for Non-Target Screening of Pollutants Using Chromatography Coupled with (Ion Mobility) Mass Spectrometry. [PDF]

Toxics
Lin D, Wang Z, Liao J, Li N, Li X.
europepmc   +1 more source

Linking species distribution models with population abundance to support adaptive fisheries management

Ecography, EarlyView.
Understanding how environmental variability structures essential fish habitat (EFH) is central to managing keystone populations in dynamic marine ecosystems. Using nearly three decades of standardized survey data (1994–2021) from the Adriatic Sea, we present the first basin‐scale, process‐based framework linking estimated habitat suitability and ...
Mahallelah Shauer, Roberto Massaro, Olimide Temitope Julius, Franceso Zangaro, Marco Rainó, Francesca Marcucci, Valeria Specchia, Armando Cazzetta, Nicholas R. Record, Maurizio Pinna   +9 more
wiley   +1 more source

Changing drivers of the Great Atlantic Sargassum Belt from physical forcing to ecological control. [PDF]

Nat Commun
Zhou X, Novi L, Hay ME, Montoya JP, Aliu A, Realff MJ, Bracco A.   +6 more
europepmc   +1 more source

Inverse sky islands: lowland river valleys drive microbial divergence while high elevations select for convergence in massive mountain ecosystems

Ecography, EarlyView.
Mountain ecosystems are often interpreted through the lens of the ‘sky island' model, where high‐elevation habitats function as isolated archipelagos. However, this model's applicability to massive, topographically complex mountain ranges where highlands are continuous and lowlands are fragmented remains untested.
Yazhou Zhang, J. Aaron Hogan, Jianjun Wang, Wenguang Sun, Yaojun Ye, Xin Liu, Minshu Song, Hang Sun   +7 more
wiley   +1 more source

Coastal Phytoplankton Response to Acidification and Warming Under Differing Levels of Nutrient Availability. [PDF]

Microorganisms
Law CS, Barr N, Currie K, Deppeler S, Dillingham PW, Gall MP, Marriner A, McComb K, Murdoch J, Northcote L, Safi K.   +10 more
europepmc   +1 more source

Incorporating sampling bias into ENM/SDM permutation tests: new methods and a case study on neotropical ants

Ecography, EarlyView.
Spatial sampling bias in occurrence data can generate spurious environmental associations in models of species distributions and ecological niches, and can also undermine inferences based on permutation tests made using these models. Geographic randomization tests are often used to generate distributions of expected behavior under the null hypothesis ...
Dan L. Warren, Alexandre Cassadei‐Ferreira, Evan P. Economo, Russell Dinnage, Jamie M. Kass   +4 more
wiley   +1 more source

Ocean Surface Waves [PDF]

, 1996
openaire   +1 more source

Development and Evaluation of a Deep Learning Model for Ovarian Cancer Histotype Classification Using Whole-Slide Imaging. [PDF]

J Imaging
Pulido D, Arias-Mendoza N.
europepmc   +1 more source

Ocean environment prediction methods based on deep learning and spatiotemporal feature fusion. [PDF]

Sci Rep
Zeng B, Wang R, Li H.
europepmc   +1 more source

Macroalgal Bloom Biomass as a Source of Bioactive Compounds and Antimicrobial Peptides. [PDF]

Mar Drugs
Rosic N, Skrlin I, Thornber C.
europepmc   +1 more source