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Releases: PolCap/ResilienceLPI

RecoveryChange.RData and ResistanceChange.RData files fixed.

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@PolCap PolCap released this 02 Jul 13:11
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RecoveryChange.RData and ResistanceChange.RData files fixed.

Global patterns of resilience decline in vertebrate populations

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@PolCap PolCap released this 05 Nov 10:16
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Global patterns of resilience decline in vertebrate populations

Pol Capdevila1*, Nicola Noviello1, Louise McRae2, Robin Freeman2, Christopher F Clements1

1School of Biological Sciences, University of Bristol, 24 Tyndall Ave, BS8 1TQ, Bristol, UK.

2Institute of Zoology, Zoological Society of London, Regent’s Park, London NW1 4RY, UK.

Contact: pcapdevila.pc[at]gmail.com


Abstract

Maintaining the resilience of natural populations, their ability to resist and recover from disturbance, is crucial to prevent biodiversity loss. However, the lack of appropriate data and quantitative tools has hampered our understanding of the factors determining resilience on a global scale. Here, we quantified the temporal trends of two key components of resilience – resistance and recovery – in >2,000 population time-series of >1,000 vertebrate species globally. We show that the number of threats to which a population is exposed is the main driver of resilience decline in vertebrate populations. Such declines are driven by a non-uniform loss of different components of resilience (i.e. resistance and recovery). Increased anthropogenic threats accelerate resilience loss through a decline in the recovery ability – but not resistance – of vertebrate populations. These findings suggest we may be underestimating the impacts of global change, highlighting the need to account for the multiple components of resilience in global biodiversity assessments.


Data

  • RecoveryChange.RData: contains the outcomes of the state-space models fit on the recovery time-series.
  • ResistanceChange.RData: contains the outcomes of the state-space models fit on the recovery time-series.
  • Body_Mass_means.csv: contains the mean values of the adult body weight (g) of the studied species, please check Noviello et al. 2021 for further details on how the data was collected.
  • PopChangeData.RData: contains the outcomes of the state-space models from the population abundance time-series from the Living Planet Database.
  • amphibians.nex: phylogeny of amphibians obtained from vertlife.org.
  • birds.nex: phylogeny of amphibians obtained from vertlife.org.
  • mammals.nex: phylogeny of amphibians obtained from vertlife.org.
  • reptiles.nex: phylogeny of amphibians obtained from vertlife.org.
  • fishtree.tre: phylogeny of fishes obtained from Rabosky et al. 2014.

Code

To run the statistical analyses we used different R scripts:

  • Analyses.R: code to analyse the factors influencing resistance and recovery loss. These analyses require a lot of computing power.
  • Figures.R: code to create the figures and tables of the study.
  • SupAnalyses.R: code to do the supplementary analyses.
  • SupFigures.R: code to create the supplementary figures.

Software

R version 4.0.2 or greater

To download R, go to https://www.r-project.org and for RStudio, go to https://www.rstudio.com/products/rstudio/download/ .

Global patterns of resilience decline in vertebrate populations

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@PolCap PolCap released this 05 Nov 10:32
5cf1bdd

Global patterns of resilience decline in vertebrate populations

Pol Capdevila1*, Nicola Noviello1, Louise McRae2, Robin Freeman2, Christopher F Clements1

1School of Biological Sciences, University of Bristol, 24 Tyndall Ave, BS8 1TQ, Bristol, UK.

2Institute of Zoology, Zoological Society of London, Regent’s Park, London NW1 4RY, UK.

Contact: pcapdevila.pc[at]gmail.com


Abstract

Maintaining the resilience of natural populations, their ability to resist and recover from disturbance, is crucial to prevent biodiversity loss. However, the lack of appropriate data and quantitative tools has hampered our understanding of the factors determining resilience on a global scale. Here, we quantified the temporal trends of two key components of resilience – resistance and recovery – in >2,000 population time-series of >1,000 vertebrate species globally. We show that the number of threats to which a population is exposed is the main driver of resilience decline in vertebrate populations. Such declines are driven by a non-uniform loss of different components of resilience (i.e. resistance and recovery). Increased anthropogenic threats accelerate resilience loss through a decline in the recovery ability – but not resistance – of vertebrate populations. These findings suggest we may be underestimating the impacts of global change, highlighting the need to account for the multiple components of resilience in global biodiversity assessments.


Data

  • RecoveryChange.RData: contains the outcomes of the state-space models fit on the recovery time-series.
  • ResistanceChange.RData: contains the outcomes of the state-space models fit on the recovery time-series.
  • Body_Mass_means.csv: contains the mean values of the adult body weight (g) of the studied species, please check Noviello et al. 2021 for further details on how the data was collected.
  • PopChangeData.RData: contains the outcomes of the state-space models from the population abundance time-series from the Living Planet Database.
  • amphibians.nex: phylogeny of amphibians obtained from vertlife.org.
  • birds.nex: phylogeny of amphibians obtained from vertlife.org.
  • mammals.nex: phylogeny of amphibians obtained from vertlife.org.
  • reptiles.nex: phylogeny of amphibians obtained from vertlife.org.
  • fishtree.tre: phylogeny of fishes obtained from Rabosky et al. 2014.

Code

To run the statistical analyses we used different R scripts:

  • Analyses.R: code to analyse the factors influencing resistance and recovery loss. These analyses require a lot of computing power.
  • Figures.R: code to create the figures and tables of the study.
  • SupAnalyses.R: code to do the supplementary analyses.
  • SupFigures.R: code to create the supplementary figures.