Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/agrdatasci/enm_agroforestry

Code used in the paper: The future of coffee and cocoa agroforestry in a warmer Mesoamerica

https://github.com/agrdatasci/enm_agroforestry

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

Keywords

agroforestry climate-adaptation environmental-modelling r
Last synced: 9 months ago · JSON representation

Repository

Code used in the paper: The future of coffee and cocoa agroforestry in a warmer Mesoamerica

Basic Info
  • Host: GitHub
  • Owner: AgrDataSci
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 142 MB
Statistics
  • Stars: 2
  • Watchers: 4
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
agroforestry climate-adaptation environmental-modelling r
Created about 7 years ago · Last pushed almost 7 years ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---


[![DOI](https://img.shields.io/badge/DOI-10.1038%2Fs41598--019--45491--7-blue.svg)](https://doi.org/10.1038/s41598-019-45491-7)
[![License](https://img.shields.io/badge/License-CC%20BY%204.0-blue.svg)](https://creativecommons.org/licenses/by/4.0/)


# The future of coffee and cocoa agroforestry in a warmer Mesoamerica

## Overview

Climate change threatens coffee production and the livelihoods of thousands of families in Mesoamerica that depend on it. Replacing coffee with cocoa and integrating trees in combined agroforestry systems to ameliorate abiotic stress are among the proposed alternatives to overcome this challenge. These two alternatives do not consider the vulnerability of cocoa and tree species commonly used in agroforestry plantations to future climate conditions. We assessed the suitability of these alternatives by identifying the potential changes in the distribution of coffee, cocoa and the 100 most common agroforestry trees found in Mesoamerica. Here we show that cocoa could potentially become an alternative in most of coffee vulnerable areas. Agroforestry with currently preferred tree species is highly vulnerable to future climate change. Transforming agroforestry systems by changing tree species composition may be the best approach to adapt most of the coffee and cocoa production areas. Our results stress the urgency for land use planning considering climate change effects and to assess new combinations of agroforestry species in coffee and cocoa plantations in Mesoamerica.

## Dataverse

A citable mirror of this repository is available through [Dataverse](https://doi.org/10.7910/DVN/0O1GW1). 


## Notes about input data

### WorldClim

This analysis uses bioclimatic variables from [WorldClim](http://www.worldclim.org/version1) as input data. These files are too large to upload to GitHub. To replicate this analysis you must download the files via [WorldClim](http://www.worldclim.org/version1) and add it into the directory data/worldclim.

### Ensemble models

Ensemble model outputs are also too large to upload to GitHub (approx. 90 GB). If you want to get access to these files please open a request on the [issues](https://github.com/agrobioinfoservices/enm_agroforestry/issues) section.

## Acknowledgments

Part of this research was supported by cooperative agreement HI-A70D41/A1092 that was made possible by the support of [HIVOS International](https://www.hivos.org/). This work was implemented as part of the CGIAR Research Program on Forests, Trees and Agroforestry - [FTA](http://www.foreststreesagroforestry.org/) and the CGIAR Research Program on Climate Change, Agriculture and Food Security - [CCAFS](https://ccafs.cgiar.org/), which are carried out with support from the [CGIAR Trust Fund](https://www.cgiar.org/funders) and through bilateral funding agreements.

Owner

  • Name: AgrDataSci
  • Login: AgrDataSci
  • Kind: organization
  • Email: k.desousa@cgiar.org
  • Location: France

We develop methods and tools to support sustainable food systems, rural development and digital inclusion

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 18
  • Total Committers: 1
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
kauedesousa d****e@g****m 18

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels