Giter VIP home page Giter VIP logo

ghislainv / baobabs_mada Goto Github PK

View Code? Open in Web Editor NEW
3.0 3.0 1.0 63.45 MB

:deciduous_tree: :earth_africa: :notebook: Code and data for Tagliari et al. 2021, Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar. Global Change Biology.

License: GNU General Public License v3.0

Shell 0.12% R 99.88%
baobabs climate-change temperature-seasonality species-range-shift tropics species-distribution-models climatic-anomaly extinction-risk latitude madagascar

baobabs_mada's Introduction

Range shifts of baobabs as climate warms

License GPLv3 Cirad Dataverse GCB

This GitHub repository includes the code and data for the following scientific article:

TAGLIARI Mario M., Pascal DANTHU, Jean-Michel LEONG POCK TSY, Cyrille CORNU, Jonathan LENOIR, Vítor CARVALHO-ROCHA, Ghislain VIEILLEDENT. 2021. Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar. Global Change Biology. doi: 10.1111/gcb.15859.

Baobab occurrence data

The data/baobabs/ folder includes the occurrence dataset for the seven baobab species present in Madagascar (file data_Adansonia.csv). This file is the result of years of field inventories in Madagascar by botanists and ecologists working at CIRAD.

R script

All the results of the study can be reproduced executing the R script R/baobabs.R. To do so, you can either execute the baobabs.sh shellscript or run the R script using a R GUI such as RStudio.

Results

All the results of the study (tables and figures) are saved in the outputs folder.

SDA

Figure: Species range contraction under climate change for the four threatened baobab species. The four species are A. madagascariensis, A. perrieri, A. rubrostipa, and A. suarezensis (one species per row). (a, e, i, m) Occurrence points over Madagascar elevation map (elevation in m); (b, f, j, n) Current predicted species distribution. Legend indicates the number of models (0-4) predicting the species presence; (c,g,k,o) Projected species distribution in 2085 under scenario RCP 8.5 and the full-dispersal hypothesis. Legend indicates the number of models (0-12) predicting the species presence; (d,h,l,p) Projected species distribution in 2085 under scenario RCP 8.5 and the zero-dispersal hypothesis. Legend indicates the number of models (0-12) predicting the species presence. For the distribution maps, the species is assumed to be present (green areas) when a majority of models predicts a presence (votes >= 2 in the present, and >= 6 in the future). The species is considered absent (grey areas) when no model (votes = 0), or a minority of models (votes < 2 in the present, and < 6 in the future), predicts a presence. Maps for A. perrieri and A. suarezensis, two species distributed at the extreme North of Madagascar, have been zoomed in (black squares).

Notes

An archive of this repository is available in the Cirad Dataverse repository, doi: 10.1111/gcb.15859.

Baobab drawings by Grazyna Krecka-Duchaufour from "C. Cornu and P. Danthu. 2015. Guide d'identification illustré des baobabs de Madagascar. Cirad, Montpellier, 30 p., https://agritrop.cirad.fr/577579".

baobabs_mada's People

Contributors

ghislainv avatar masemuta avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

Forkers

kailashjp

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.