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https://github.com/cjabradshaw/devilpopmodel

Population model for Tasmanian devils

https://github.com/cjabradshaw/devilpopmodel

Science Score: 13.0%

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Keywords

cohort-based-model dasyurid dasyuridae devil-facial-tumour-disease disease marsupial matrix-model population-model scarcophilus-harrissii tasmania tasmanian-devil
Last synced: 5 months ago · JSON representation

Repository

Population model for Tasmanian devils

Basic Info
  • Host: GitHub
  • Owner: cjabradshaw
  • License: gpl-3.0
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 604 KB
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Topics
cohort-based-model dasyurid dasyuridae devil-facial-tumour-disease disease marsupial matrix-model population-model scarcophilus-harrissii tasmania tasmanian-devil
Created about 5 years ago · Last pushed over 4 years ago

https://github.com/cjabradshaw/devilpopmodel/blob/main/ 

# devil population model
Sarcophilus

Population model for Tasmanian devils

Accompanies paper:

Bradshaw, CJA, BW Brook. 2005. Disease and the devil: density-dependent epidemiological processes explain historical population fluctuations in the Tasmanian devil. Ecography 28: 181-190

## Abstract
Australias last mega-carnivore marsupial, the Tasmanian devil Sarcophilus harrisii, Dasyuridae is endemic to the island state of Tasmania. The recent appearance and rapid spread of a debilitating and usually lethal, cancer-like disease has raised concerns regarding the species future. We used a demographic matrix modelling approach to evaluate the potential long-term implications of epidemics on this population. Both adult survival and temporally autocorrelated re-occurrence of disease were expressed as a function of female abundance. Large fluctuations in abundance resulted when disease outbreaks were conditioned to be density-dependent; however, this resulted in a low probability of quasi-extinction due to the dissipation of disease transmission at low densities. Epidemic stochasticity alone in an otherwise deterministic model resulted in major population cycles occurring every 77-146 yr, consistent with historical reports. Although epidemics in this species may not result in extinction directly, the contemporary presence of additional mortality sources during periods of low abundance may increase extinction risk.

## Matlab file
devil_short.m

## More information
See also a more recent version of the devil population model (R code) published in:
- Bradshaw, CJA, CN Johnson, J Llewelyn, V Weisbecker, G Strona, F Saltr. 2021. Relative demographic susceptibility does not explain the extinction chronology of Sahuls megafauna. eLife 10: e63870. doi:10.7554/eLife.63870
- and its associated Github repository here (specifically, see lines 4757-4997 in script Sahul megafauna demographic susceptibility-base models.R)

Owner

  • Name: Corey Bradshaw
  • Login: cjabradshaw
  • Kind: user
  • Location: Adelaide, South Australia
  • Company: Flinders University

Matthew Flinders Professor of Global Ecology @GlobalEcologyFlinders @CABAH

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