Results 1 to 10 of about 228 (84)
Contribution of microcosm experiments to conservation science. [PDF]
Abstract Microcosms, or miniature experimental systems, have been used to develop models and theories in ecology. However, their contribution to conservation science is unclear. We explored the application, design, and impact of microcosms in conservation science from 469 systematically identified articles published from 1986 to 2023.
Stern ER +3 more
europepmc +2 more sources
Abstract In their efforts to digitize public service delivery, countries increasingly use algorithms based on mathematical models, data and/or a combination of different administrative datasets to issue decisions, but recent studies point towards challenges around citizens' understanding, accessing, and filing objections to such automated decisions ...
Sarah Giest, Annemarie Samuels
wiley +1 more source
Abstract Estimating the genetic variation underpinning a trait is crucial to understanding and predicting its evolution. A key statistical tool to estimate this variation is the animal model. Typically, the environment is modelled as an external variable independent of the organism, affecting the focal phenotypic trait via phenotypic plasticity.
Gabriel Munar‐Delgado +2 more
wiley +1 more source
In the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation of a sensitive variable by using auxiliary information
Monica Choudhary +5 more
wiley +1 more source
Abstract Acceleration‐based proxies for activity and energy expenditure are widely used in bio‐logging studies of animal movement and locomotion to explore biomechanical strategies, energetic costs of behaviour, habitat use and the impact of anthropogenic disturbance.
Lucía Martina Martín López +3 more
wiley +1 more source
This paper designs and implements a methodology to model the evolution of the COVID‐19 pandemic, produced by the SARS‐CoV‐2 virus, in what was called the first wave in Chile, which lasted from March 2 to 31 October 2020. The models are based on sigmoidal growth curves and can be used to predict the number of daily infections and deaths in future days ...
Francisco Novoa-Muñoz, A. E. Matouk
wiley +1 more source
Not all data are equal: Influence of data type and amount in spatial conservation prioritisation
Abstract Decisions about land use significantly influence biodiversity globally. The field of spatial conservation prioritisation explores allocation of conservation effort, including for reserve network expansion, targeting habitat restoration, or minimising ecological impacts of development.
Heini Kujala +4 more
wiley +1 more source
Bounding the Dynamics of a Chaotic‐Cancer Mathematical Model
The complexity of cancer has motivated the development of different approaches to understand the dynamics of this large group of diseases. One that may allow us to better comprehend the behavior of cancer cells, in both short‐ and long‐term, is mathematical modelling through ordinary differential equations.
Paul A. Valle +4 more
wiley +1 more source
ABSTRACT Regulated asset base (RAB) and results‐based financing (RBF) are key emerging infrastructure finance models, offering stable returns (RAB) and outcome‐based incentives (RBF). This perspective proposes a hybrid RAB‐RBF model to bridge the “viability gap” in developing regions and catalyze low‐carbon energy infrastructure access where cost ...
Hafiz Ahmed
wiley +1 more source
Huánglóngbìng (HLB) is a bacterial disease of citrus that has significantly impacted Brazil and the United States, although citrus production in the Mediterranean Basin remains unaffected. By developing a mathematical model of spread in Spain, we tested surveillance and control strategies before any future HLB entry in the EU.
John Ellis +9 more
wiley +1 more source

