Results 201 to 210 of about 30,783 (304)

Disentangling Multitrophic Interactions: How Vegetation Cover, Wild Boar, Deer, and Predators Shape Rodents Activity and Acorn Dispersal

Integrative Zoology, EarlyView.
Vegetation cover promotes rodent activity and acorn dispersal, while wild boars exert a direct negative effect on mice. Conversely, deer and predators displayed no significant impact on rodent behavior. These results identify wild boars as the main disruptors of rodent‐mediated forest regeneration.
David Notario Rincón, Alberto Muñoz, Rafael Barrientos, Álvaro Gaytán, Lucía Cano, Pablo Quiles, Luis Sánchez, Alejandro Redondo, Alexander Cisneros, Raúl Bonal   +9 more
wiley   +1 more source

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning. [PDF]

Open Heart
Chowdhury MRK, Dinh DT, Brennan A, Reid CM, Nanayakkara S, Lefkovits J, Chew DP, Karim MN, Moni MA, Islam MS, Billah B, Stub D.   +11 more
europepmc   +1 more source

On stochastic mortality modeling

In the last decennium a vast literature on stochastic mortality models has been developed. All well-known models have nice features but also disadvantages.
Plat, Richard
core  

Inferring alternative ecosystem states with field survey data

Methods in Ecology and Evolution, EarlyView.
Abstract Many ecosystems potentially exhibit alternative stable states, where distinct states can coexist under identical environmental conditions. While simulation models have generated key hypotheses in alternative stable states theory, they often rely on scale‐free parameters disconnected from real ecosystems.
Ning Chen, Xiaoxue Dong, Xinwei Li, Lei Huang, Heng Huang, Changjia Li, Yanchuang Zhao, Chi Xu, Miaojun Ma, Zak Ratajczak, Changming Zhao   +10 more
wiley   +1 more source

Stochastic control of influenza spread: A Lévy-driven SDE and branching process approach. [PDF]

Infect Dis Model
Mohammad KM, Khan T, Kamrujjaman M.
europepmc   +1 more source

A continuous‐time random encounter and staying time (REST) model: Moving beyond temporal aggregation in camera‐trap density estimation

Methods in Ecology and Evolution, EarlyView.
Abstract Estimating wildlife population density is fundamental to ecology and conservation. While camera traps have revolutionized the monitoring of medium‐ to large‐sized mammals, estimating the density of unmarked populations remains a major challenge. Current models rely on a critical and often‐violated synchronized activity assumption.
Ryo Matsuoka, Gota Yajima, Yoshihiro Nakashima   +2 more
wiley   +1 more source

Cardiovascular risks and hazards associated with deep space exploration. [PDF]

Commun Med (Lond)
Brojakowska A, Bisserier M, Eskandari A, Jagana V, Khlgatian MK, Arakelyan A, Fogarty J, Kovacic JC, Goukassian DA.   +8 more
europepmc   +1 more source

Inferring processes within dynamic forest models using hybrid modelling

Methods in Ecology and Evolution, EarlyView.
Abstract Modelling forest dynamics under novel climatic conditions requires a careful balance between process‐based understanding and empirical flexibility. Dynamic vegetation models (DVM) represent ecological processes mechanistically, but their performance is sensitive to misspecified functional forms and to unavoidable structural simplifications ...
Maximilian Pichler, Yannek Käber
wiley   +1 more source

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours. [PDF]

PLoS One
Warne DJ, Varghese A, Brewster A, Browning AP, Krell MM, Drovandi C, Hu W, Mira A, Mengersen K, Jenner AL.   +9 more
europepmc   +1 more source

Nest Survival Models and Genomics Illuminate Hybridisation Attempts, Guiding Culturally Informed Management to Recover a Critically Endangered Seabird

Animal Conservation, EarlyView.
Long‐term monitoring has revealed hybridisation attempts between the Critically Endangered Kuaka Whenua Hou (KWH, Pelecanoides whenuahouensis) and the abundant Kuaka (P. urinatrix). Here we use modelling based on population monitoring data in tandem with genomic data to investigate these attempts and the risk they pose to KWH recovery.
N. J. Forsdick, T. R. Buckley, T. Davis, I. Debski, J. H. Fischer   +4 more
wiley   +1 more source