scholarly journals Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study

2011 ◽  
Vol 144 (12) ◽  
pp. 2922-2930 ◽  
Author(s):  
Orly Razgour ◽  
Julia Hanmer ◽  
Gareth Jones
Keyword(s):  
Habitat Suitability ◽  
Multi Scale ◽  
Species Of Conservation Concern ◽  
Scale Modelling ◽  
Conservation Concern

scholarly journals A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study

2020 ◽  
Vol 17 (166) ◽  
pp. 20200230 ◽  
Author(s):  
W. S. Hart ◽  
P. K. Maini ◽  
C. A. Yates ◽  
R. N. Thompson
Keyword(s):  
Cohort Studies ◽  
Influenza A ◽  
Multi Scale ◽  
Patient Level ◽  
Modelling Framework ◽  
Level Data ◽  
Scale Models ◽  
Scale Modelling ◽  
Population Scale

Multi-scale epidemic forecasting models have been used to inform population-scale predictions with within-host models and/or infection data collected in longitudinal cohort studies. However, most multi-scale models are complex and require significant modelling expertise to run. We formulate an alternative multi-scale modelling framework using a compartmental model with multiple infected stages. In the large-compartment limit, our easy-to-use framework generates identical results compared to previous more complicated approaches. We apply our framework to the case study of influenza A in humans. By using a viral dynamics model to generate synthetic patient-level data, we explore the effects of limited and inaccurate patient data on the accuracy of population-scale forecasts. If infection data are collected daily, we find that a cohort of at least 40 patients is required for a mean population-scale forecasting error below 10%. Forecasting errors may be reduced by including more patients in future cohort studies or by increasing the frequency of observations for each patient. Our work, therefore, provides not only an accessible epidemiological modelling framework but also an insight into the data required for accurate forecasting using multi-scale models.

Functional habitat area as a reliable proxy for population size: case study using two butterfly species of conservation concern

2010 ◽  
Vol 14 (4) ◽  
pp. 379-388 ◽  
Author(s):  
Camille Turlure ◽  
Julie Choutt ◽  
Hans Van Dyck ◽  
Michel Baguette ◽  
Nicolas Schtickzelle
Keyword(s):  
Population Size ◽  
Butterfly Species ◽  
Habitat Area ◽  
Species Of Conservation Concern ◽  
Conservation Concern

The Development of Habitat Suitability Index Model of Class I Endangered Wildlife, Sedirea japonica - A Case Study of Korea National Park of Dadohaehaesang -

2020 ◽  
Vol 32 (1) ◽  
pp. 153-172
Author(s):  
Yun-Jin Shim ◽  
Yong-Su Park ◽  
Rae-Ha Jang ◽  
Young-Jun Yoon ◽  
Sun- Ryoung Kim ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
National Park ◽  
Class I ◽  
Habitat Suitability Index ◽  
Index Model ◽  
Suitability Index

Multi-scale modelling of woven carbon fibre reinforced epoxy

2021 ◽  
Author(s):  
Alexandru Szabo ◽  
Radu Negru ◽  
Alexandru-Viorel Coşa ◽  
Liviu Marşavina ◽  
Dan-Andrei Şerban
Keyword(s):  
Carbon Fibre ◽  
Multi Scale ◽  
Scale Modelling

Climatic Variables Differentially Influence Neotropical Plant Species of Conservation Concern

2021 ◽  
pp. 1-16
Author(s):  
Pablo Antúnez ◽  
Christian Wehenkel ◽  
Collins Byobona Kukunda ◽  
José Ciro Hernández-Díaz
Keyword(s):  
Plant Species ◽  
Climatic Variables ◽  
Species Of Conservation Concern ◽  
Conservation Concern
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