https://github.com/caseyyoungflesh/pheno_sensitivity
Code for Youngflesh et al. 2021 Nature Ecology and Evolution
Science Score: 10.0%
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Low similarity (5.4%) to scientific vocabulary
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Code for Youngflesh et al. 2021 Nature Ecology and Evolution
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Created almost 6 years ago
· Last pushed almost 3 years ago
https://github.com/caseyyoungflesh/Pheno_sensitivity/blob/master/
# Pheno_sensitivity [](https://zenodo.org/badge/latestdoi/290607887) Code for Youngflesh et al. 2021 *Nature Ecology and Evolution* This repository contains code to model bird arrival as a function of green-up and green-up as a function of time. The companion repository, which contains code to quantify bird arrival can be found [here](https://github.com/phenomismatch/Bird_Phenology). **Associated publications:** Youngflesh, C., Socolar, J., Amaral, B.R., Arab, A., Guralnick, R.P., Hurlbert, A.H., LaFrance, R., Mayor, S.J., Miller, D.A.W., Tingley, M.W. 2021. [Migratory strategy drives species-level variation in bird sensitivity to vegetation green-up.](https://www.nature.com/articles/s41559-021-01442-y) __*Nature Ecology and Evolution*__ 5:987994. **Repository structure:** * `Data/` (ignored) - Data relevant for project * `arrival_master_` - output from `5-extract-arr-dates.R` in companion repo * `environent` * `RAW` - raw green-up data * `MCD12Q1` - MCD12Q1 product data * `MCD12Q2` - MCD12Q2 product data * `processed` - processed green-up date * `hex_grid_crop` - study area * `Scripts/` - scripts to run analyses * `1-process-gr/` * `1a-landcover.R` - create land cover mask * `1b-greenup.R` - extract green-up data over study area * `2-gr-SVC.R` - script to run green-up as a function of time * `3-arr-gr-SVC-sens.R` - script to run bird arrival as a function of green-up * `Results/` (ignored)
Owner
- Name: Casey Youngflesh
- Login: caseyyoungflesh
- Kind: user
- Company: Michigan State University
- Website: www.caseyyoungflesh.com
- Twitter: caseyyoungflesh
- Repositories: 2
- Profile: https://github.com/caseyyoungflesh
Quantitative Ecology | Global Change | Population Biology | Biodiversity