r-a-dobson/seasonal-forecasting-quelea: v2.0.1

Updated release of the seasonal-forecasting-quelea repository, containing code and data for generating near-term forecasts of red-billed quelea (Quelea quelea) distribution up to seven months ahead. This release includes additional metadata files detailing the structure and variables in the datasets.

• packages_to_install.txt - list of packages required for generating near-term hindcasts- you do not need to open or edit this file;
• Functions_For_Forecast.R - custom functions for generating near-term hindcasts - you do not need to open or edit this code;
• S1_Forecast_Weather_Variables.R - the code for generating near-term hindcasts of 8- and 52-week weather variables. You will need to open and run this script.
• S2_Forecast_Resource_Variables.R - the code for generating near-term hindcasts of resource variables. You will need to open and run this script.
• S3_Fit_Models.R - the code for generating dynamic species distribution models for projecting red-billed quelea distribution suitability. You will need to open and run this script.
• S4_Project_Models.R - the code projecting near-term distribution suitability for quelea using hindcast weather and resource variables. You will need to open and run this script.

• breeding_distribution_quelea.csv - filtered breeding season occurrence records for Quelea quelea lathamii in southern Africa;
• nonbreeding_distribution_quelea.csv - filtered non-breeding season occurrence records for Quelea quelea lathamii in southern Africa.
• README.txt - description of occurrence data frames.

• Greenup_mean.tif - average duration (number of days) of the vegetation stage "green-up" extracted from MODIS Land Cover Dynamics Yearly dataset (Friedl et al., 2019);

• Maturity_mean.tif - average duration (number of days) of the vegetation stage "maturity" extracted from MODIS Land Cover Dynamics Yearly dataset;

• MidGreendown_mean.tif - average duration (number of days) of the vegetation stage "mid-green-down" extracted from MODIS Land Cover Dynamics Yearly dataset;

• Peak_mean.tif - average duration (number of days) of the vegetation stage "peak" extracted from MODIS Land Cover Dynamics Yearly dataset;

• Senescence_mean.tif - average duration (number of days) of the vegetation stage "senescence" extracted from MODIS Land Cover Dynamics Yearly dataset;

• README.txt - description of .TIF files.

FRIEDL, M., GRAY, J. & SULLA-MENASHE, D. 2019. MCD12Q2 MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V006 [MCD12Q2]. https://doi.org/10.5067/MOD…

• classification_model_cereal.rds - Random Forest classification model for classifying vegetation growth stages in cereal croplands land cover cells (Friedl and Sulla-Menashe, 2019) based upon remote-sensed enhanced vegetation index (EVI) characteristics extracted from Didan (2021);
• classification_model_grass.rds - Random Forest classification model for classifying vegetation growth stages in grasslands based upon remote-sensed EVI characteristics.
• README.txt - description of Random Forest models.

DIDAN, K. 2021. MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V061 [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MOD…

FRIEDL, M. & SULLA-MENASHE, D. 2019. MCD12Q1 MODIS/Terra+ Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 [MCD12Q1]. https://doi.org/10.5067/MOD…