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cccoextgsa

Global sensitivity analysis for climate/land-use change co-extinctions analysis

https://github.com/cjabradshaw/cccoextgsa

Science Score: 67.0%

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    CITATION.cff file
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Keywords

boosted-regression-tree climate-change co-extinctions extinctions global-sensitivity-analysis land-use-change machine-learning primary-extinctions virtual-earth
Last synced: 6 months ago · JSON representation ·

Repository

Global sensitivity analysis for climate/land-use change co-extinctions analysis

Basic Info
  • Host: GitHub
  • Owner: cjabradshaw
  • License: gpl-3.0
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 1.03 MB
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boosted-regression-tree climate-change co-extinctions extinctions global-sensitivity-analysis land-use-change machine-learning primary-extinctions virtual-earth
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Global sensitivity analysis for climate/land-use change co-extinctions analysis

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Prof Corey J. A. Bradshaw
Global Ecology | Partuyarta Ngadluku Wardli Kuu, Flinders University, Adelaide, Australia
October 2022
e-mail

accompanies paper:


STRONA, G, CJA BRADSHAW. In review. Co-extinctions dominate future vertebrate losses from climate and land-use change. Science Advances

Abstract

Although theory identifies co-extinctions as a main driver of biodiversity loss, their role at the planetary scale has yet to be estimated. We subjected a global model of interconnected terrestrial vertebrate food webs to future (2020–2100) climate and land-use changes. We predict a 17.6% (± 0.16% SE) average reduction of local vertebrate diversity globally by 2100, with co-extinctions increasing the effect of primary extinctions by 184.2% (± 10.9% SE) on average under an intermediate emissions scenario. Communities will lose up to a half of ecological interactions, thus reducing trophic complexity, network connectance, and community resilience. The model reveals that the extreme toll of global change for vertebrate diversity might be of secondary importance compared to the damages to ecological network structure.

Scripts

  • coextCCglobalSensitivityAnalysis.R: a series of boosted regression tree emulators to examine the effect of variation in 6 model parameters on the total biodiversity loss predicted in simulations including both primary extinctions (from exceeding thermal tolerances) and the ensuing co-extinctions
  • full Python script for main paper available here

Variables include:

  • threshold for functional compatibility (cf)
  • relationship between vertebrate body mass and vulnerability to land-use change (VLUC)
  • species adaptation factor (Cadp)
  • number of steps in the burn-in phase (sb-i)
  • species adaptation probability (padp)
  • shape of the response curves of local diversity vs. land-use change (SLUC)

Data

  • place 'dataforsensitivity.csv' in the same directory as the R script above

Owner

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

Matthew Flinders Professor of Global Ecology @GlobalEcologyFlinders @CABAH

Citation (CITATION.cff) 

cff-version: 1.1
message: "If you use this code, please cite it as below."
authors:
- family-names: "Bradshaw"
  given-names: "Corey"
  orcid: "https://orcid.org/0000-0002-5328-7741"
- family-names: "Strona"
  given-names: "Giovanni"
  orcid: "https://orcid.org/0000-0003-2294-4013"
title: "Global sensitivity analysis for co-extinctions driven by climate/land-use change"
version: 1.1
doi: 10.5281/zenodo.7255957
date-released: 2022-10-27
url: "https://github.com/cjabradshaw/CCcoextGSA"

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