Results 91 to 100 of about 13,859 (206)

Informing spatial conservation prioritization with species’ traits

Conservation Biology, EarlyView.
Abstract New Guinea, the most botanically diverse island on the planet, is the location for one of the boldest conservation initiatives. The Manokwari Declaration aims to achieve 70% conservation designation for the Bird's Head Peninsula. This is 40% higher than the 2022 Global Biodiversity Framework target.
Liam A. Trethowan, Laura Jennings, Haerul Arifin, Renata Borosova, Gemma L. C. Bramley, Marie Briggs, Osanna Chu, Ruth P. Clark, Sally Dawson, Kiran L. Dhanjal‐Adams, Yance de Freitas, James Hartup, Edward G. E. Heatubun, Cecilia Lee‐Grant, Laurensia V. Mapandin, Jonni Marwa, Alison Moore, Agustinus Murdjoko, Carmen Puglisi, André Schuiteman, Dave J. I. Seaman, Nurhaidah Sinaga, Matthew J. Struebig, Anna Trias Blasi, Timothy Utteridge, Maria Voigt, Jimmy F. Wanma, Charlie D. Heatubun   +27 more
wiley   +1 more source

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

PLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin, Daniel Adyro Martínez-Bello, Antonio López-Quílez, María Dolores Ugarte   +3 more
doaj   +1 more source

Temporally‐indexed multi‐species density impact functions: Quantifying timing and impact of invasive predators on seabird breeding success

Conservation Science and Practice, EarlyView.
Conserving threatened species often requires effective predator suppression strategies, particularly on islands where introduced predators pose significant threats. Density‐impact functions provide a framework to quantify the relationships between predator abundance and impact but are currently limited to a single species with invariant impact.
Michael R. Fox, Todd J. Landers, Brendon J. Dunphy, James C. Russell   +3 more
wiley   +1 more source

Joint quantile disease mapping with application to malaria and G6PD deficiency

Royal Society Open Science
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases.
Hanan Alahmadi, Janet van Niekerk, Tullia Padellini, Håvard Rue   +3 more
doaj   +1 more source

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

Methods in Ecology and Evolution, 2023
Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing area in quantitative ecology, and ...
Philip S. Mostert, Robert B. O'Hara
doaj   +1 more source

Mapping Escolar (Lepidocybium flavobrunneum) in Motion: Oceanographic Forces Shaping Its Habitat in the Southwestern South Atlantic, With Insights From Fishers' Perceptions

Fisheries Oceanography, EarlyView.
ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues, Maria Grazia Pennino, Paul Gerhard Kinas, David Conesa, Alba Fuster‐Alonso, Andrés Domingo, Rodrigo Forselledo, Federico Mas, Bruno Mourato, Rodrigo Sant'Ana, Vinni Santos Thykjaer, Raquel Virginia Marquez Marquez, Abner Ventura Alves, Mariano Cabanillas‐Torpoco, Rafael Schroeder, Luis Gustavo Cardoso   +15 more
wiley   +1 more source

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

Crime Science
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone   +6 more
doaj   +1 more source

Mixtures of g-priors in Generalized Linear Models

, 2018
Mixtures of Zellner's g-priors have been studied extensively in linear models and have been shown to have numerous desirable properties for Bayesian variable selection and model averaging. Several extensions of g-priors to Generalized Linear Models (GLMs)
Clyde, Merlise A., Li, Yingbo
core   +2 more sources

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source