predictiveecology Goto Github PK
Name: Predictive Ecology Group
Type: Organization
Bio: Ecological forecasting models and data
Location: Victoria, BC, Canada
Name: Predictive Ecology Group
Type: Organization
Bio: Ecological forecasting models and data
Location: Victoria, BC, Canada
collection of GitHub Actions workflows
trends analysis for aboveground biomass
Utilities for Analyzing Trends in Above Ground Biomass
A set of tools for datasets and plots archiving
SpaDES module to run BiomeBGC in R
Module to parameterize the Landis Biomass Succession Model in R, for the Canadian Boreal forest
A port of Landis II Biomass Succession Model in R
SpaDES version of the LANDIS-II Dynamic Biomass Fuels Extension
SpaDES LandR Biomass module that calculates fire fuels, based on plant functional group composition
Post-disturbance biomass regeneration module for LandR
Post-disturbance biomass regeneration module for LandR. Serotiny and resprouting mechanisms follow LANDIS-II Biomass Succession extension, v3.2.1, and partial mortality (with total cohort removal) follows LANDIS-II Dynamic Fire System v3.0
A repository to create and run a factorial simulation experiment for LANDIS-II-like species traits
Summarizes the results of multiple LandR Biomass simulations, across multiple study areas, climate scenarios, and replicates.
Validation module for LandR Biomass predictions of forest succession
Generate yield tables generated by the Biomass_core module
Package for running Biome-BGC models in R
This SpaDES module takes bootstrapped raster maps of BCR area predicted bird density rasters created by the Boreal Avian Modelling Project (BAM) and calculates the mean bird density and variance between the bootstraps, then mosaics them together to create unified maps of the BCR areas included.
Prepare Canadian historic and projected climate data for use with LandR.CS and fireSense
Download and create fire regime polygons for a study area based on fire regime types or units in Erni et al. (2020)
Utilities for modelling carbon in R based on CBM-CFS3
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