Results 61 to 70 of about 824 (147)

From fertilizer to insecticide: urban leaf litter chemistry alters the survival landscape of Aedes aegypti

Pest Management Science, Volume 82, Issue 4, Page 3395-3407, April 2026.
Chemical profiling and bioassays reveal that leaf‐litter leachates from urban trees flip between nourishing and killing Aedes aegypti larvae: dilute Tipuana tipu boosts growth, whereas concentrated, aged extracts are >90% lethal. Species‐specific chemistry thus turns street trees into potential self‐renewing tools for integrated vector control ...
Ana Luiza Caldatto, Gilberto Dinis Cozzer, Heloise Restello Remus, Raquel de Brito, Monica Santin Zanatta Schindler, Cássia Alves Lima‐Rezende, Jacir Dal Magro, Renan de Souza Rezende   +7 more
wiley   +1 more source

Ecological Factors at a Fine Spatial Scale Influencing Leopard (Panthera pardus) Habitat Use in the Bardia–Banke Complex, Nepal

Ecology and Evolution, Volume 16, Issue 3, March 2026.
Common leopard (Panthera pardus) photographed in camera traps in Bardia National Park, Nepal. ABSTRACT Conservation of large carnivores like leopard requires the clear knowledge of the spatial ecology of leopards (Panthera pardus), especially in larger and interconnected habitats to inform effective conservation planning.
Rabin Bahadur K. C., Jyoti Sharma, Bed Kumar Dhakal, Rabin Kadariya, Ajit Tumbahangphe, Shyam Kumar Thapa, Naresh Subedi   +6 more
wiley   +1 more source

Effects of Ungulate Herbivores on Temperate Forest Understory Vegetation—Implications From a Large‐Scale Wildlife Exclosure Experiment in Central Europe

Journal of Vegetation Science, Volume 37, Issue 2, March/April 2026.
Fenced ungulate exclosure (foreground) with unfenced control plot (background). ABSTRACT Question Ungulates play a key role in influencing understory vegetation and ecosystem dynamics in temperate forests. However, how soil conditions modulate ungulate effects on understory communities remains insufficiently understood.
Alexander Seliger, Jan Zäh, Steffi Heinrichs, Peter Schall, Christian Ammer, Torsten Vor   +5 more
wiley   +1 more source

Improved Efficiency in Generalized Poisson Hurdle Model Estimation Using Restricted and Shrinkage Methods

Journal of Mathematics
This paper investigates the use of shrinkage estimators in the generalized Poisson hurdle (GPH) model for count data analysis. The GPH model effectively handles data with both excess zeros and over- or underdispersion.
Hayder Hasan Rahmah Al-Gharrawi, Hossein Bevrani, Basim Shlaibah Msallam   +2 more
doaj   +1 more source

Quantifying the analysis uncertainty for nowcasting application [PDF]

Geoscientific Model Development
This study proposes a method to quantify uncertainty represented by errors in very-high-resolution near-surface analysis, specifically for weather nowcasting applications.
Y. Zhu, Y. Zhu, A. Atencia, M. Dabernig, Y. Wang, Y. Wang   +5 more
doaj   +1 more source

Bayesian Inference for Zero-Modified Power Series Regression Models

Mathematics
Count data often exhibit discrepancies in the frequencies of zeros, which commonly occur across various application domains. These data may include excess zeros (zero inflation) or, less frequently, a scarcity of zeros (zero deflation).
Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker   +3 more
doaj   +1 more source

Spatial modeling of data with excessive zeros applied to reindeer pellet‐group counts

Ecology and Evolution, 2016
We analyze a real data set pertaining to reindeer fecal pellet‐group counts obtained from a survey conducted in a forest area in northern Sweden. In the data set, over 70% of counts are zeros, and there is high spatial correlation.
Youngjo Lee, Md. Moudud Alam, Maengseok Noh, Lars Rönnegård, Anna Skarin   +4 more
doaj   +1 more source

Trends, Skill, and Sources of Skill in Initialized Climate Forecasts of Global Mean Temperature

Geophysical Research Letters
We evaluate the skill and sources of skill in initialized seasonal climate forecasts of monthly global mean temperature from the North American Multi‐Model Ensemble (NMME) during the period 1991–2024.
Michael K. Tippett, Emily J. Becker
doaj   +1 more source

Modelling Road Accident Fatalities with Underdispersion and Zero-inflated Counts [PDF]

, 2022
Teerawat Simmachan, Noppachai Wongsai, Sangdao Wongsai, Rattana Lerdsuwansri   +3 more
openalex   +1 more source

Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model

Journal of Statistical Theory and Applications (JSTA)
The Zero-Inflated Conway-Maxwell Poisson Regression Model (ZICPRM) is developed specifically for overdispersed, underdispersed, and excessive zeros in the count data. The ZICMPRM is estimated by the maximum likelihood estimator (MLE).
Muhammad Amin, Bushra Ashraf, Syeda Maryam Siddiqa   +2 more
doaj   +1 more source